Solution 126044

Submitted on 10 Aug 2012 by Óscar

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5 Comments

5 Comments

John Kotrosa on 19 Nov 2012

I’ve found that the huge strength of MATLAB is that it frees me to rapidly prototype numerical math problems – before I design a targeted solution. Such esoteric efficiencies as above are very clever and much credit goes to the person who presented it, however, this distracts rather than adds significant value to my use of MATLAB. Depending on the target machine (Desktop workstation or embedded device) I will ultimately use C/C++, assembly and VHDL to implement my process efficient code – never an interpreted language.

John Kotrosa on 5 Dec 2012

This is an update since I had one person ask about my post...
I believe that speed is only one metric of performance, another is memory utilization. The key in this problem is the “type” of the variable stored internally. By using ans=1:10; the variable ans is (I believe) of the type double precision floating point (8 Bytes for each number). On the other hand by using str2num, a cast to an array of Characters (1 Byte each) is used to tightly store the tiny integer range of numbers needed. Thus the memory required to store ans is 8 times less.

SO, I’m not sure how they actually score (or weight) the importance between memory efficiency and execution time (and across multiple platforms and OS’s) since in your case you claim a faster execution time without the casting. This would need to be asked to a Mathworks person with specific insight to their code – sorry.

And back to my soapbox point… I’m using a machine that has 12 GB of RAM, so the difference between using 10 bytes or 80 bytes is not important to me.

HOWEVER, understanding this issue IS important so my hat is off to the Cody folks for the great (and fun) challenge!

Hope that helps!

john

Óscar on 7 Dec 2012

The metric used to evaluate the performance of a solution is http://www.mathworks.com/matlabcentral/fileexchange/34754-calculate-size

As you can see if you inspect the code, it has nothing to do with speed or memory. That is why I proposed this solution, in order to show that you can become the leader with a code that is not efficient at all, either in execution speed or in memory use. Although I think the idea of Cody is great and challenging I believe that the metric that is used nowadays should be rethought.

HaveF on 17 Dec 2012

interesting

Arist Kozhevnikov on 14 Sep 2016

Cannot be reproduced, creates an error in execution in R2016a.

Test Suite

Test	Status	Code Input and Output
1	Pass	%% x_correct = [1 2 3 4 5 6 7 8 9 10]; assert(isequal(oneToTen,x_correct)) ans = 1 2 3 4 5 6 7 8 9 10

Test

Status

Code Input and Output

Pass

%% x_correct = [1 2 3 4 5 6 7 8 9 10]; assert(isequal(oneToTen,x_correct))

ans = 1 2 3 4 5 6 7 8 9 10

Problem 2. Make the vector [1 2 3 4 5 6 7 8 9 10]

Test Suite

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Problem 2. Make the vector [1 2 3 4 5 6 7 8 9 10]

Test Suite

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