Display information about optimization object
show to display information about an optimization
For the full workflow, see Problem-Based Optimization Workflow or Problem-Based Workflow for Solving Equations.
Examine Problem-Based Setup
Examine the various stages of problem construction for optimizing the Rosenbrock function confined to the unit disk (see Solve a Constrained Nonlinear Problem, Problem-Based).
Create a 2-D optimization variable
x. Show the variable.
x = optimvar('x',2); show(x)
[ x(1) ] [ x(2) ]
Create an expression for the objective function. Show the expression.
obj = log(1 + 100*(x(2) - x(1)^2)^2 + (1 - x(1))^2); show(obj)
log(((1 + (100 .* (x(2) - x(1).^2).^2)) + (1 - x(1)).^2))
Create an expression for the constraint. Show the constraint.
cons = x(1)^2 + x(2)^2 <= 1; show(cons)
(x(1).^2 + x(2).^2) <= 1
Create an optimization problem that has
obj as the objective function and
cons as the constraint. Show the problem.
prob = optimproblem("Objective",obj,"Constraints",cons); show(prob)
OptimizationProblem : Solve for: x minimize : log(((1 + (100 .* (x(2) - x(1).^2).^2)) + (1 - x(1)).^2)) subject to : (x(1).^2 + x(2).^2) <= 1
Finally, create an initial point
[0 0] and solve the problem starting at the initial point.
x0.x = [0 0]; [sol,fval,exitflag] = solve(prob,x0)
Solving problem using fmincon. Local minimum found that satisfies the constraints. Optimization completed because the objective function is non-decreasing in feasible directions, to within the value of the optimality tolerance, and constraints are satisfied to within the value of the constraint tolerance.
sol = struct with fields: x: [2x1 double]
fval = 0.0447
exitflag = OptimalSolution
Examine the solution point.
ans = 2×1 0.7864 0.6177
obj — Optimization object
OptimizationProblem object |
EquationProblem object |
OptimizationExpression object |
OptimizationVariable object |
OptimizationConstraint object |
OptimizationEquality object |
Optimization object, specified as one of the following:
show(obj)displays the variables for the solution, objective function, constraints, and variable bounds.
show(obj)displays the variables for the solution, equations for the solution, and variable bounds.
show(obj)displays the optimization expression.
show(obj)displays the optimization variables. This display does not indicate variable types or bounds; it shows only the variable dimensions and index names (if any).
show(obj)displays the constraint expression.
show(obj)displays the equality expression.
show(obj)displays the inequality expression.
Introduced in R2019b