{"group":{"id":1,"name":"Community","lockable":false,"created_at":"2012-01-18T18:02:15.000Z","updated_at":"2025-12-14T01:33:56.000Z","description":"Problems submitted by members of the MATLAB Central community.","is_default":true,"created_by":161519,"badge_id":null,"featured":false,"trending":false,"solution_count_in_trending_period":0,"trending_last_calculated":"2025-12-14T00:00:00.000Z","image_id":null,"published":true,"community_created":false,"status_id":2,"is_default_group_for_player":false,"deleted_by":null,"deleted_at":null,"restored_by":null,"restored_at":null,"description_opc":null,"description_html":null,"published_at":null},"problems":[{"id":60983,"title":"Check Euler's characteristic on regular polyhedra","description":"Problem statement\r\nGiven the number of vertices and the number of faces of a given regular polyhedron, compute the number of its edges with Euler characteristic, a powerful generic formula linking these three.\r\n\r\nExamples -\u003e check the test suite\r\n\r\nForbidden functions / expressions\r\nregexp\r\nassignin\r\nstr2num\r\necho\r\n\r\nSee also\r\nMesh processing\r\nMesh generation toolbox","description_html":"\u003cdiv style = \"text-align: start; line-height: 20.4333px; min-height: 0px; white-space: normal; color: rgb(0, 0, 0); font-family: Menlo, Monaco, Consolas, monospace; font-style: normal; font-size: 14px; font-weight: 400; text-decoration: rgb(0, 0, 0); white-space: normal; \"\u003e\u003cdiv style=\"block-size: 414.733px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 408px 207.367px; transform-origin: 408px 207.367px; vertical-align: baseline; \"\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 385px 10.5px; text-align: left; transform-origin: 385px 10.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 63.0083px 8px; transform-origin: 63.0083px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eProblem statement\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 42px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 385px 21px; text-align: left; transform-origin: 385px 21px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 263.333px 8px; transform-origin: 263.333px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eGiven the number of vertices and the number of faces of a given regular polyhedron, \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 110.042px 8px; transform-origin: 110.042px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003ecompute the number of its edges\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 1.94167px 8px; transform-origin: 1.94167px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e with Euler characteristic, a powerful generic formula linking these three.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 385px 10.5px; text-align: left; transform-origin: 385px 10.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 8px; transform-origin: 0px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 385px 10.5px; text-align: left; transform-origin: 385px 10.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 34.6167px 8px; transform-origin: 34.6167px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eExamples \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 6.425px 8px; transform-origin: 6.425px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e-\u0026gt;\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 1.94167px 8px; transform-origin: 1.94167px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 59.8917px 8px; transform-origin: 59.8917px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003echeck the test suite\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 385px 10.5px; text-align: left; transform-origin: 385px 10.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 8px; transform-origin: 0px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 385px 10.5px; text-align: left; transform-origin: 385px 10.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 114.308px 8px; transform-origin: 114.308px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eForbidden functions / expressions\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cul style=\"block-size: 81.7333px; counter-reset: list-item 0; font-family: Helvetica, Arial, sans-serif; list-style-type: square; margin-block-end: 20px; margin-block-start: 10px; margin-bottom: 20px; margin-top: 10px; perspective-origin: 392px 40.8667px; transform-origin: 392px 40.8667px; margin-top: 10px; margin-bottom: 20px; \"\u003e\u003cli style=\"block-size: 20.4333px; counter-reset: none; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; perspective-origin: 364px 10.2167px; text-align: left; transform-origin: 364px 10.2167px; white-space-collapse: preserve; margin-left: 56px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 21.4px 8px; transform-origin: 21.4px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\u003eregexp\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli style=\"block-size: 20.4333px; counter-reset: none; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; perspective-origin: 364px 10.2167px; text-align: left; transform-origin: 364px 10.2167px; white-space-collapse: preserve; margin-left: 56px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 25.6833px 8px; transform-origin: 25.6833px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\u003eassignin\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli style=\"block-size: 20.4333px; counter-reset: none; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; perspective-origin: 364px 10.2167px; text-align: left; transform-origin: 364px 10.2167px; white-space-collapse: preserve; margin-left: 56px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 25.2833px 8px; transform-origin: 25.2833px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\u003estr2num\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli style=\"block-size: 20.4333px; counter-reset: none; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; perspective-origin: 364px 10.2167px; text-align: left; transform-origin: 364px 10.2167px; white-space-collapse: preserve; margin-left: 56px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 15.175px 8px; transform-origin: 15.175px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\u003eecho\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003c/ul\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 385px 10.5px; text-align: left; transform-origin: 385px 10.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 8px; transform-origin: 0px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 385px 10.5px; text-align: left; transform-origin: 385px 10.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 28.3917px 8px; transform-origin: 28.3917px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eSee also\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 385px 10.5px; text-align: left; transform-origin: 385px 10.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003ca target='_blank' href = \"https://fr.mathworks.com/matlabcentral/cody/groups/57483\"\u003e\u003cspan style=\"\"\u003e\u003cspan style=\"\"\u003eMesh processing\u003c/span\u003e\u003c/span\u003e\u003c/a\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 385px 10.5px; text-align: left; transform-origin: 385px 10.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003ca target='_blank' href = \"https://fr.mathworks.com/matlabcentral/fileexchange/85173-mesh-generation-toolbox?s_tid=prof_contriblnk\"\u003e\u003cspan style=\"\"\u003e\u003cspan style=\"\"\u003eMesh generation toolbox\u003c/span\u003e\u003c/span\u003e\u003c/a\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function e = check_Euler_chracteristic(v,f)\r\n  e = f;\r\nend","test_suite":"%% tetrahedron\r\nv = 4;\r\nf = 4;\r\ne_correct = 6;\r\nassert(isequal(check_Euler_chracteristic(v,f),e_correct))\r\n\r\n%% octahedron\r\nv = 6;\r\nf = 8;\r\ne_correct = 12;\r\nassert(isequal(check_Euler_chracteristic(v,f),e_correct))\r\n\r\n%% hexahedron / cube\r\nv = 8;\r\nf = 6;\r\ne_correct = 12;\r\nassert(isequal(check_Euler_chracteristic(v,f),e_correct))\r\n\r\n%% icosahedron\r\nv = 12;\r\nf = 20;\r\ne_correct = 30;\r\nassert(isequal(check_Euler_chracteristic(v,f),e_correct))\r\n\r\n%% dodecahedron\r\nv = 20;\r\nf = 12;\r\ne_correct = 30;\r\nassert(isequal(check_Euler_chracteristic(v,f),e_correct))\r\n\r\n%% Forbidden functions\r\nfiletext = fileread('check_Euler_chracteristic.m');\r\nillegal = contains(filetext, 'regexp') || contains(filetext, 'str2num') || contains(filetext, 'assignin') || contains(filetext, 'echo')\r\nassert(~illegal);","published":true,"deleted":false,"likes_count":1,"comments_count":0,"created_by":149128,"edited_by":149128,"edited_at":"2025-07-26T07:45:16.000Z","deleted_by":null,"deleted_at":null,"solvers_count":31,"test_suite_updated_at":null,"rescore_all_solutions":false,"group_id":1,"created_at":"2025-07-23T20:08:07.000Z","updated_at":"2026-02-10T17:11:09.000Z","published_at":"2025-07-24T07:25:21.000Z","restored_at":null,"restored_by":null,"spam":null,"simulink":false,"admin_reviewed":false,"description_opc":"{\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eProblem statement\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eGiven the number of vertices and the number of faces of a given regular polyhedron, \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ecompute the number of its edges\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e with Euler characteristic, a powerful generic formula linking these three.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eExamples \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e-\u0026gt;\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003e \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003echeck the test suite\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc 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w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eassignin\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003estr2num\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eecho\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc 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w:docLocation=\\\"https://fr.mathworks.com/matlabcentral/fileexchange/85173-mesh-generation-toolbox?s_tid=prof_contriblnk\\\"\u003e\u003cw:r\u003e\u003cw:t\u003eMesh generation toolbox\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:hyperlink\u003e\u003c/w:p\u003e\u003c/w:body\u003e\u003c/w:document\u003e\",\"relationship\":null}],\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"target\":\"/matlab/document.xml\",\"relationshipId\":\"rId1\"}]}"},{"id":60985,"title":"Mesh the dodecahedron","description":"Problem statement\r\n\r\nAn dodecahedron is a regular polyhedron with 20 vertices and 12 pentagonal faces. It is also one of the five well known platonic solids. \r\nA pentagonal mesh is simply a N x 5 matrix of positive integers where each row contains the vertex indices of a pentagonal face, and where N is the number of faces / pentagons. \r\n\r\nYour task here is to mesh this octahedron. To do so, you will list the pentagons/rows in a matrix of faces, F.\r\nThe row order of the faces in the list doesn't matter.\r\n\r\nTip\r\nVertex indices are written on the figure below; use it to help you visualize;\r\nYou can start with the top [1 2 3 4 5] and bottom pentagons, they are the easiest ones to identify here.\r\n\r\n\r\n\r\n\r\n\r\nForbidden functions / expressions\r\nregexp\r\nassignin\r\nstr2num\r\necho\r\nSee also\r\nMesh processing\r\nMesh generation toolbox","description_html":"\u003cdiv style = \"text-align: start; line-height: 20.4333px; min-height: 0px; white-space: normal; color: rgb(0, 0, 0); font-family: Menlo, Monaco, Consolas, monospace; font-style: normal; font-size: 14px; font-weight: 400; text-decoration: rgb(0, 0, 0); white-space: normal; \"\u003e\u003cdiv style=\"block-size: 1057.1px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 408px 528.55px; transform-origin: 408px 528.55px; vertical-align: baseline; \"\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 385px 10.5px; text-align: left; transform-origin: 385px 10.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 63.0083px 8px; transform-origin: 63.0083px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eProblem statement\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 385px 10.5px; text-align: left; transform-origin: 385px 10.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 8px; transform-origin: 0px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 42px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 385px 21px; text-align: left; transform-origin: 385px 21px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 370.717px 8px; transform-origin: 370.717px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eAn dodecahedron is a regular polyhedron with 20 vertices and 12 pentagonal faces. It is also one of the five well known platonic solids. \u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 42px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 385px 21px; text-align: left; transform-origin: 385px 21px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 96.8583px 8px; transform-origin: 96.8583px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eA pentagonal mesh is simply a \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 5.05833px 8px; transform-origin: 5.05833px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\u003eN\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 280.45px 8px; transform-origin: 280.45px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e x 5 matrix of positive integers where each row contains the vertex indices of a pentagonal face, and where \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 5.05833px 8px; transform-origin: 5.05833px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\u003eN\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 113.175px 8px; transform-origin: 113.175px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e is the number of faces / pentagons. \u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 385px 10.5px; text-align: left; transform-origin: 385px 10.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 8px; transform-origin: 0px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 385px 10.5px; text-align: left; transform-origin: 385px 10.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 323.733px 8px; transform-origin: 323.733px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eYour task here is to mesh this octahedron. To do so, you will list the pentagons/rows in a matrix of faces, \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 5.31667px 8px; transform-origin: 5.31667px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\u003eF.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 385px 10.5px; text-align: left; transform-origin: 385px 10.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 158.842px 8px; transform-origin: 158.842px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eThe row order of the faces in the list doesn't matter.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 385px 10.5px; text-align: left; transform-origin: 385px 10.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 8px; transform-origin: 0px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 385px 10.5px; text-align: left; transform-origin: 385px 10.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 10.3667px 8px; transform-origin: 10.3667px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eTip\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cul style=\"block-size: 40.8667px; counter-reset: list-item 0; font-family: Helvetica, Arial, sans-serif; list-style-type: square; margin-block-end: 20px; margin-block-start: 10px; margin-bottom: 20px; margin-top: 10px; perspective-origin: 392px 20.4333px; transform-origin: 392px 20.4333px; margin-top: 10px; margin-bottom: 20px; \"\u003e\u003cli style=\"block-size: 20.4333px; counter-reset: none; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; perspective-origin: 364px 10.2167px; text-align: left; transform-origin: 364px 10.2167px; white-space-collapse: preserve; margin-left: 56px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 226.783px 8px; transform-origin: 226.783px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eVertex indices are written on the figure below; use it to help you visualize;\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli style=\"block-size: 20.4333px; counter-reset: none; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; perspective-origin: 364px 10.2167px; text-align: left; transform-origin: 364px 10.2167px; white-space-collapse: preserve; margin-left: 56px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 314.783px 8px; transform-origin: 314.783px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eYou can start with the top [1 2 3 4 5] and bottom pentagons, they are the easiest ones to identify 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data-image-state=\"image-loaded\"\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 385px 10.5px; text-align: left; transform-origin: 385px 10.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 8px; transform-origin: 0px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 385px 10.5px; text-align: left; transform-origin: 385px 10.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 8px; transform-origin: 0px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 385px 10.5px; text-align: left; transform-origin: 385px 10.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 114.308px 8px; transform-origin: 114.308px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eForbidden functions / expressions\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cul style=\"block-size: 81.7333px; counter-reset: list-item 0; font-family: Helvetica, Arial, sans-serif; list-style-type: square; margin-block-end: 20px; margin-block-start: 10px; margin-bottom: 20px; margin-top: 10px; perspective-origin: 392px 40.8667px; transform-origin: 392px 40.8667px; margin-top: 10px; margin-bottom: 20px; \"\u003e\u003cli style=\"block-size: 20.4333px; counter-reset: none; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; perspective-origin: 364px 10.2167px; text-align: left; transform-origin: 364px 10.2167px; white-space-collapse: preserve; margin-left: 56px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 21.4px 8px; transform-origin: 21.4px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\u003eregexp\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli style=\"block-size: 20.4333px; counter-reset: none; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; perspective-origin: 364px 10.2167px; text-align: left; transform-origin: 364px 10.2167px; white-space-collapse: preserve; margin-left: 56px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 25.6833px 8px; transform-origin: 25.6833px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\u003eassignin\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli style=\"block-size: 20.4333px; counter-reset: none; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; perspective-origin: 364px 10.2167px; text-align: left; transform-origin: 364px 10.2167px; white-space-collapse: preserve; margin-left: 56px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 25.2833px 8px; transform-origin: 25.2833px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\u003estr2num\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli style=\"block-size: 20.4333px; counter-reset: none; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; perspective-origin: 364px 10.2167px; text-align: left; transform-origin: 364px 10.2167px; white-space-collapse: preserve; margin-left: 56px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 15.175px 8px; transform-origin: 15.175px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\u003eecho\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003c/ul\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 385px 10.5px; text-align: left; transform-origin: 385px 10.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 28.3917px 8px; transform-origin: 28.3917px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eSee also\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 385px 10.5px; text-align: left; transform-origin: 385px 10.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003ca target='_blank' href = \"https://fr.mathworks.com/matlabcentral/cody/groups/57483\"\u003e\u003cspan style=\"\"\u003e\u003cspan style=\"\"\u003eMesh processing\u003c/span\u003e\u003c/span\u003e\u003c/a\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 385px 10.5px; text-align: left; transform-origin: 385px 10.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003ca target='_blank' href = \"https://fr.mathworks.com/matlabcentral/fileexchange/85173-mesh-generation-toolbox?s_tid=prof_contriblnk\"\u003e\u003cspan style=\"\"\u003e\u003cspan style=\"\"\u003eMesh generation toolbox\u003c/span\u003e\u003c/span\u003e\u003c/a\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function F = mesh_the_dodecahedron()\r\n  F = 1;\r\nend","test_suite":"%%\r\nF_correct = [1 2 3 4 5;\r\n             10 9 8 7 6;            \r\n             11 12 13 2 1;\r\n             13 14 15 3 2;\r\n             15 16 17 4 3;\r\n             17 18 19 5 4;\r\n             19 20 11 1 5;            \r\n             6 7 18 17 16;\r\n             7 8 20 19 18;\r\n             8 9 12 11 20;\r\n             9 10 14 13 12;\r\n             10 6 16 15 14];\r\n\r\n% Check every possible solutions\r\nassert(isequal(sortrows(sort(mesh_the_dodecahedron(),2)),sortrows(sort(F_correct,2))))\r\n\r\n\r\n%% Forbidden functions\r\nfiletext = fileread('mesh_the_dodecahedron.m');\r\nillegal = contains(filetext, 'regexp') || contains(filetext, 'str2num') || contains(filetext, 'assignin') || contains(filetext, 'echo')\r\nassert(~illegal);","published":true,"deleted":false,"likes_count":1,"comments_count":1,"created_by":149128,"edited_by":149128,"edited_at":"2025-07-26T07:45:50.000Z","deleted_by":null,"deleted_at":null,"solvers_count":25,"test_suite_updated_at":null,"rescore_all_solutions":false,"group_id":1,"created_at":"2025-07-23T20:09:36.000Z","updated_at":"2026-02-13T17:46:40.000Z","published_at":"2025-07-24T13:28:17.000Z","restored_at":null,"restored_by":null,"spam":null,"simulink":false,"admin_reviewed":false,"description_opc":"{\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eProblem statement\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eAn dodecahedron is a regular polyhedron with 20 vertices and 12 pentagonal faces. It is also one of the five well known platonic solids. \u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eA pentagonal mesh is simply a \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eN\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e x 5 matrix of positive integers where each row contains the vertex indices of a pentagonal face, and where \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eN\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e is the number of faces / pentagons. \u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eYour task here is to mesh this octahedron. To do so, you will list the pentagons/rows in a matrix of faces, \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eF.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eThe row order of the faces in the list doesn't matter.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eTip\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eVertex indices are written on the figure below; use it to help you visualize;\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eYou can start with the top [1 2 3 4 5] and bottom pentagons, they are the easiest ones to identify here.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:customXml w:element=\\\"image\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"height\\\" w:val=\\\"335\\\"/\u003e\u003cw:attr w:name=\\\"width\\\" w:val=\\\"447\\\"/\u003e\u003cw:attr w:name=\\\"verticalAlign\\\" w:val=\\\"baseline\\\"/\u003e\u003cw:attr w:name=\\\"altText\\\" w:val=\\\"\\\"/\u003e\u003cw:attr w:name=\\\"relationshipId\\\" w:val=\\\"rId1\\\"/\u003e\u003c/w:customXmlPr\u003e\u003c/w:customXml\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eForbidden functions / expressions\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eregexp\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eassignin\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003estr2num\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId 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Euler's characteristic on regular polyhedra","description":"Problem statement\r\nGiven the number of vertices and the number of faces of a given regular polyhedron, compute the number of its edges with Euler characteristic, a powerful generic formula linking these three.\r\n\r\nExamples -\u003e check the test suite\r\n\r\nForbidden functions / expressions\r\nregexp\r\nassignin\r\nstr2num\r\necho\r\n\r\nSee also\r\nMesh processing\r\nMesh generation toolbox","description_html":"\u003cdiv style = \"text-align: start; line-height: 20.4333px; min-height: 0px; white-space: normal; color: rgb(0, 0, 0); font-family: Menlo, Monaco, Consolas, monospace; font-style: normal; font-size: 14px; font-weight: 400; text-decoration: rgb(0, 0, 0); white-space: normal; \"\u003e\u003cdiv style=\"block-size: 414.733px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 408px 207.367px; transform-origin: 408px 207.367px; vertical-align: baseline; \"\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 385px 10.5px; text-align: left; transform-origin: 385px 10.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 63.0083px 8px; transform-origin: 63.0083px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eProblem statement\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 42px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 385px 21px; text-align: left; transform-origin: 385px 21px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 263.333px 8px; transform-origin: 263.333px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eGiven the number of vertices and the number of faces of a given regular polyhedron, \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 110.042px 8px; transform-origin: 110.042px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003ecompute the number of its edges\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 1.94167px 8px; transform-origin: 1.94167px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e with Euler characteristic, a powerful generic formula linking these three.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 385px 10.5px; text-align: left; transform-origin: 385px 10.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 8px; transform-origin: 0px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 385px 10.5px; text-align: left; transform-origin: 385px 10.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 34.6167px 8px; transform-origin: 34.6167px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eExamples \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 6.425px 8px; transform-origin: 6.425px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e-\u0026gt;\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 1.94167px 8px; transform-origin: 1.94167px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003e \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 59.8917px 8px; transform-origin: 59.8917px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003echeck the test suite\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 385px 10.5px; text-align: left; transform-origin: 385px 10.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 8px; transform-origin: 0px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 385px 10.5px; text-align: left; transform-origin: 385px 10.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 114.308px 8px; transform-origin: 114.308px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eForbidden functions / expressions\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cul style=\"block-size: 81.7333px; counter-reset: list-item 0; font-family: Helvetica, Arial, sans-serif; list-style-type: square; margin-block-end: 20px; margin-block-start: 10px; margin-bottom: 20px; margin-top: 10px; perspective-origin: 392px 40.8667px; transform-origin: 392px 40.8667px; margin-top: 10px; margin-bottom: 20px; \"\u003e\u003cli style=\"block-size: 20.4333px; counter-reset: none; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; perspective-origin: 364px 10.2167px; text-align: left; transform-origin: 364px 10.2167px; white-space-collapse: preserve; margin-left: 56px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 21.4px 8px; transform-origin: 21.4px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\u003eregexp\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli style=\"block-size: 20.4333px; counter-reset: none; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; perspective-origin: 364px 10.2167px; text-align: left; transform-origin: 364px 10.2167px; white-space-collapse: preserve; margin-left: 56px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 25.6833px 8px; transform-origin: 25.6833px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\u003eassignin\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli style=\"block-size: 20.4333px; counter-reset: none; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; perspective-origin: 364px 10.2167px; text-align: left; transform-origin: 364px 10.2167px; white-space-collapse: preserve; margin-left: 56px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 25.2833px 8px; transform-origin: 25.2833px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\u003estr2num\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli style=\"block-size: 20.4333px; counter-reset: none; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; perspective-origin: 364px 10.2167px; text-align: left; transform-origin: 364px 10.2167px; white-space-collapse: preserve; margin-left: 56px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 15.175px 8px; transform-origin: 15.175px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\u003eecho\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003c/ul\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 385px 10.5px; text-align: left; transform-origin: 385px 10.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 8px; transform-origin: 0px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 385px 10.5px; text-align: left; transform-origin: 385px 10.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 28.3917px 8px; transform-origin: 28.3917px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eSee also\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 385px 10.5px; text-align: left; transform-origin: 385px 10.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003ca target='_blank' href = \"https://fr.mathworks.com/matlabcentral/cody/groups/57483\"\u003e\u003cspan style=\"\"\u003e\u003cspan style=\"\"\u003eMesh processing\u003c/span\u003e\u003c/span\u003e\u003c/a\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 385px 10.5px; text-align: left; transform-origin: 385px 10.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003ca target='_blank' href = \"https://fr.mathworks.com/matlabcentral/fileexchange/85173-mesh-generation-toolbox?s_tid=prof_contriblnk\"\u003e\u003cspan style=\"\"\u003e\u003cspan style=\"\"\u003eMesh generation toolbox\u003c/span\u003e\u003c/span\u003e\u003c/a\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function e = check_Euler_chracteristic(v,f)\r\n  e = f;\r\nend","test_suite":"%% tetrahedron\r\nv = 4;\r\nf = 4;\r\ne_correct = 6;\r\nassert(isequal(check_Euler_chracteristic(v,f),e_correct))\r\n\r\n%% octahedron\r\nv = 6;\r\nf = 8;\r\ne_correct = 12;\r\nassert(isequal(check_Euler_chracteristic(v,f),e_correct))\r\n\r\n%% hexahedron / cube\r\nv = 8;\r\nf = 6;\r\ne_correct = 12;\r\nassert(isequal(check_Euler_chracteristic(v,f),e_correct))\r\n\r\n%% icosahedron\r\nv = 12;\r\nf = 20;\r\ne_correct = 30;\r\nassert(isequal(check_Euler_chracteristic(v,f),e_correct))\r\n\r\n%% dodecahedron\r\nv = 20;\r\nf = 12;\r\ne_correct = 30;\r\nassert(isequal(check_Euler_chracteristic(v,f),e_correct))\r\n\r\n%% Forbidden functions\r\nfiletext = fileread('check_Euler_chracteristic.m');\r\nillegal = contains(filetext, 'regexp') || contains(filetext, 'str2num') || contains(filetext, 'assignin') || contains(filetext, 'echo')\r\nassert(~illegal);","published":true,"deleted":false,"likes_count":1,"comments_count":0,"created_by":149128,"edited_by":149128,"edited_at":"2025-07-26T07:45:16.000Z","deleted_by":null,"deleted_at":null,"solvers_count":31,"test_suite_updated_at":null,"rescore_all_solutions":false,"group_id":1,"created_at":"2025-07-23T20:08:07.000Z","updated_at":"2026-02-10T17:11:09.000Z","published_at":"2025-07-24T07:25:21.000Z","restored_at":null,"restored_by":null,"spam":null,"simulink":false,"admin_reviewed":false,"description_opc":"{\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eProblem statement\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eGiven the number of vertices and the number of faces of a given regular polyhedron, \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003ecompute the number of its edges\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e with Euler characteristic, a powerful generic formula linking these three.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc 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w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eForbidden functions / expressions\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eregexp\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eassignin\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003estr2num\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eecho\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc 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w:docLocation=\\\"https://fr.mathworks.com/matlabcentral/fileexchange/85173-mesh-generation-toolbox?s_tid=prof_contriblnk\\\"\u003e\u003cw:r\u003e\u003cw:t\u003eMesh generation toolbox\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:hyperlink\u003e\u003c/w:p\u003e\u003c/w:body\u003e\u003c/w:document\u003e\",\"relationship\":null}],\"relationships\":[{\"relationshipType\":\"http://schemas.mathworks.com/matlab/code/2013/relationships/document\",\"target\":\"/matlab/document.xml\",\"relationshipId\":\"rId1\"}]}"},{"id":60985,"title":"Mesh the dodecahedron","description":"Problem statement\r\n\r\nAn dodecahedron is a regular polyhedron with 20 vertices and 12 pentagonal faces. It is also one of the five well known platonic solids. \r\nA pentagonal mesh is simply a N x 5 matrix of positive integers where each row contains the vertex indices of a pentagonal face, and where N is the number of faces / pentagons. \r\n\r\nYour task here is to mesh this octahedron. To do so, you will list the pentagons/rows in a matrix of faces, F.\r\nThe row order of the faces in the list doesn't matter.\r\n\r\nTip\r\nVertex indices are written on the figure below; use it to help you visualize;\r\nYou can start with the top [1 2 3 4 5] and bottom pentagons, they are the easiest ones to identify here.\r\n\r\n\r\n\r\n\r\n\r\nForbidden functions / expressions\r\nregexp\r\nassignin\r\nstr2num\r\necho\r\nSee also\r\nMesh processing\r\nMesh generation toolbox","description_html":"\u003cdiv style = \"text-align: start; line-height: 20.4333px; min-height: 0px; white-space: normal; color: rgb(0, 0, 0); font-family: Menlo, Monaco, Consolas, monospace; font-style: normal; font-size: 14px; font-weight: 400; text-decoration: rgb(0, 0, 0); white-space: normal; \"\u003e\u003cdiv style=\"block-size: 1057.1px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 408px 528.55px; transform-origin: 408px 528.55px; vertical-align: baseline; \"\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 385px 10.5px; text-align: left; transform-origin: 385px 10.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 63.0083px 8px; transform-origin: 63.0083px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eProblem statement\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 385px 10.5px; text-align: left; transform-origin: 385px 10.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 8px; transform-origin: 0px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 42px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 385px 21px; text-align: left; transform-origin: 385px 21px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 370.717px 8px; transform-origin: 370.717px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eAn dodecahedron is a regular polyhedron with 20 vertices and 12 pentagonal faces. It is also one of the five well known platonic solids. \u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 42px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 385px 21px; text-align: left; transform-origin: 385px 21px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 96.8583px 8px; transform-origin: 96.8583px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eA pentagonal mesh is simply a \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 5.05833px 8px; transform-origin: 5.05833px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\u003eN\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 280.45px 8px; transform-origin: 280.45px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e x 5 matrix of positive integers where each row contains the vertex indices of a pentagonal face, and where \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 5.05833px 8px; transform-origin: 5.05833px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\u003eN\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 113.175px 8px; transform-origin: 113.175px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e is the number of faces / pentagons. \u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 385px 10.5px; text-align: left; transform-origin: 385px 10.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 8px; transform-origin: 0px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 385px 10.5px; text-align: left; transform-origin: 385px 10.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 323.733px 8px; transform-origin: 323.733px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eYour task here is to mesh this octahedron. To do so, you will list the pentagons/rows in a matrix of faces, \u003c/span\u003e\u003c/span\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 5.31667px 8px; transform-origin: 5.31667px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\u003eF.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 385px 10.5px; text-align: left; transform-origin: 385px 10.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 158.842px 8px; transform-origin: 158.842px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eThe row order of the faces in the list doesn't matter.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 385px 10.5px; text-align: left; transform-origin: 385px 10.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 8px; transform-origin: 0px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 385px 10.5px; text-align: left; transform-origin: 385px 10.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 10.3667px 8px; transform-origin: 10.3667px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eTip\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cul style=\"block-size: 40.8667px; counter-reset: list-item 0; font-family: Helvetica, Arial, sans-serif; list-style-type: square; margin-block-end: 20px; margin-block-start: 10px; margin-bottom: 20px; margin-top: 10px; perspective-origin: 392px 20.4333px; transform-origin: 392px 20.4333px; margin-top: 10px; margin-bottom: 20px; \"\u003e\u003cli style=\"block-size: 20.4333px; counter-reset: none; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; perspective-origin: 364px 10.2167px; text-align: left; transform-origin: 364px 10.2167px; white-space-collapse: preserve; margin-left: 56px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 226.783px 8px; transform-origin: 226.783px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eVertex indices are written on the figure below; use it to help you visualize;\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli style=\"block-size: 20.4333px; counter-reset: none; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; perspective-origin: 364px 10.2167px; text-align: left; transform-origin: 364px 10.2167px; white-space-collapse: preserve; margin-left: 56px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 314.783px 8px; transform-origin: 314.783px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eYou can start with the top [1 2 3 4 5] and bottom pentagons, they are the easiest ones to identify here.\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003c/ul\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 385px 10.5px; text-align: left; transform-origin: 385px 10.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 8px; transform-origin: 0px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 385px 10.5px; text-align: left; transform-origin: 385px 10.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 8px; transform-origin: 0px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 340.5px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 385px 170.25px; text-align: left; transform-origin: 385px 170.25px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cimg class=\"imageNode\" width=\"447\" height=\"335\" style=\"vertical-align: baseline;width: 447px;height: 335px\" 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data-image-state=\"image-loaded\"\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 385px 10.5px; text-align: left; transform-origin: 385px 10.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 8px; transform-origin: 0px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 385px 10.5px; text-align: left; transform-origin: 385px 10.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 8px; transform-origin: 0px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 385px 10.5px; text-align: left; transform-origin: 385px 10.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 114.308px 8px; transform-origin: 114.308px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eForbidden functions / expressions\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cul style=\"block-size: 81.7333px; counter-reset: list-item 0; font-family: Helvetica, Arial, sans-serif; list-style-type: square; margin-block-end: 20px; margin-block-start: 10px; margin-bottom: 20px; margin-top: 10px; perspective-origin: 392px 40.8667px; transform-origin: 392px 40.8667px; margin-top: 10px; margin-bottom: 20px; \"\u003e\u003cli style=\"block-size: 20.4333px; counter-reset: none; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; perspective-origin: 364px 10.2167px; text-align: left; transform-origin: 364px 10.2167px; white-space-collapse: preserve; margin-left: 56px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 21.4px 8px; transform-origin: 21.4px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\u003eregexp\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli style=\"block-size: 20.4333px; counter-reset: none; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; perspective-origin: 364px 10.2167px; text-align: left; transform-origin: 364px 10.2167px; white-space-collapse: preserve; margin-left: 56px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 25.6833px 8px; transform-origin: 25.6833px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\u003eassignin\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli style=\"block-size: 20.4333px; counter-reset: none; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; perspective-origin: 364px 10.2167px; text-align: left; transform-origin: 364px 10.2167px; white-space-collapse: preserve; margin-left: 56px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 25.2833px 8px; transform-origin: 25.2833px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\u003estr2num\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli style=\"block-size: 20.4333px; counter-reset: none; display: list-item; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-start: 56px; margin-left: 56px; margin-top: 0px; perspective-origin: 364px 10.2167px; text-align: left; transform-origin: 364px 10.2167px; white-space-collapse: preserve; margin-left: 56px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-inline-start: 0px; margin-left: 0px; perspective-origin: 15.175px 8px; transform-origin: 15.175px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-style: italic; \"\u003eecho\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003c/ul\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 385px 10.5px; text-align: left; transform-origin: 385px 10.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 28.3917px 8px; transform-origin: 28.3917px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"font-weight: 700; \"\u003eSee also\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 385px 10.5px; text-align: left; transform-origin: 385px 10.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003ca target='_blank' href = \"https://fr.mathworks.com/matlabcentral/cody/groups/57483\"\u003e\u003cspan style=\"\"\u003e\u003cspan style=\"\"\u003eMesh processing\u003c/span\u003e\u003c/span\u003e\u003c/a\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 385px 10.5px; text-align: left; transform-origin: 385px 10.5px; white-space-collapse: preserve; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003ca target='_blank' href = \"https://fr.mathworks.com/matlabcentral/fileexchange/85173-mesh-generation-toolbox?s_tid=prof_contriblnk\"\u003e\u003cspan style=\"\"\u003e\u003cspan style=\"\"\u003eMesh generation toolbox\u003c/span\u003e\u003c/span\u003e\u003c/a\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function F = mesh_the_dodecahedron()\r\n  F = 1;\r\nend","test_suite":"%%\r\nF_correct = [1 2 3 4 5;\r\n             10 9 8 7 6;            \r\n             11 12 13 2 1;\r\n             13 14 15 3 2;\r\n             15 16 17 4 3;\r\n             17 18 19 5 4;\r\n             19 20 11 1 5;            \r\n             6 7 18 17 16;\r\n             7 8 20 19 18;\r\n             8 9 12 11 20;\r\n             9 10 14 13 12;\r\n             10 6 16 15 14];\r\n\r\n% Check every possible solutions\r\nassert(isequal(sortrows(sort(mesh_the_dodecahedron(),2)),sortrows(sort(F_correct,2))))\r\n\r\n\r\n%% Forbidden functions\r\nfiletext = fileread('mesh_the_dodecahedron.m');\r\nillegal = contains(filetext, 'regexp') || contains(filetext, 'str2num') || contains(filetext, 'assignin') || contains(filetext, 'echo')\r\nassert(~illegal);","published":true,"deleted":false,"likes_count":1,"comments_count":1,"created_by":149128,"edited_by":149128,"edited_at":"2025-07-26T07:45:50.000Z","deleted_by":null,"deleted_at":null,"solvers_count":25,"test_suite_updated_at":null,"rescore_all_solutions":false,"group_id":1,"created_at":"2025-07-23T20:09:36.000Z","updated_at":"2026-02-13T17:46:40.000Z","published_at":"2025-07-24T13:28:17.000Z","restored_at":null,"restored_by":null,"spam":null,"simulink":false,"admin_reviewed":false,"description_opc":"{\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eProblem statement\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eAn dodecahedron is a regular polyhedron with 20 vertices and 12 pentagonal faces. It is also one of the five well known platonic solids. \u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eA pentagonal mesh is simply a \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eN\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e x 5 matrix of positive integers where each row contains the vertex indices of a pentagonal face, and where \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eN\u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:t\u003e is the number of faces / pentagons. \u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eYour task here is to mesh this octahedron. To do so, you will list the pentagons/rows in a matrix of faces, \u003c/w:t\u003e\u003c/w:r\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eF.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eThe row order of the faces in the list doesn't matter.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eTip\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eVertex indices are written on the figure below; use it to help you visualize;\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eYou can start with the top [1 2 3 4 5] and bottom pentagons, they are the easiest ones to identify here.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:customXml w:element=\\\"image\\\"\u003e\u003cw:customXmlPr\u003e\u003cw:attr w:name=\\\"height\\\" w:val=\\\"335\\\"/\u003e\u003cw:attr w:name=\\\"width\\\" w:val=\\\"447\\\"/\u003e\u003cw:attr w:name=\\\"verticalAlign\\\" w:val=\\\"baseline\\\"/\u003e\u003cw:attr w:name=\\\"altText\\\" w:val=\\\"\\\"/\u003e\u003cw:attr w:name=\\\"relationshipId\\\" w:val=\\\"rId1\\\"/\u003e\u003c/w:customXmlPr\u003e\u003c/w:customXml\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003e\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:b/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eForbidden functions / expressions\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eregexp\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003eassignin\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId w:val=\\\"1\\\"/\u003e\u003c/w:numPr\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:rPr\u003e\u003cw:i/\u003e\u003c/w:rPr\u003e\u003cw:t\u003estr2num\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"ListParagraph\\\"/\u003e\u003cw:numPr\u003e\u003cw:numId 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