Algorithm parameter of solve ignored
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Using Problem-based linear solver linprog. Trying to pass Algorithm interior-point. Algorithm used is dual-simplex.
x1 = optimvar('x1'); %
x2 = optimvar('x2'); %
x3 = optimvar('x3'); %
x4 = optimvar('x4'); %
x5 = optimvar('x5'); %
prob = optimproblem('Objective',10*x1 + 2*x2 + 4*x3 + 8*x4 - x5,'ObjectiveSense','min');
options = optimoptions('linprog','Algorithm','interior-point');
% Constraints
prob.Constraints.cons1 = x1 + 4*x2 - x3 >= 16;
prob.Constraints.cons2 = 2*x1 + x2 + x3 >= 4;
prob.Constraints.cons3 = 3*x1 + x4 + x5 >= 8;
prob.Constraints.cons4 = x1 + 2*x4 - x5 >= 20;
prob.Constraints.cons5 = x1 >= 0;
prob.Constraints.cons6 = x2 >= 0;
prob.Constraints.cons7 = x3 >= 0;
prob.Constraints.cons8 = x4 >= 0;
prob.Constraints.cons9 = x5 >= 0;
prob.optimoptions(options);
problem = prob2struct(prob);
[sol, fval, exitflag, output] = solve(prob)
Optimal solution found.
sol =
x1: 0
x2: 4.0000
x3: 0
x4: 10.0000
x5: 0
fval = 88
exitflag = OptimalSolution
output =
iterations: 7
constrviolation: 3.5527e-15
message: 'Optimal solution found.'
algorithm: 'dual-simplex'
firstorderopt: 1.4211e-14
solver: 'linprog'
Accepted Answer
More Answers (1)
Jon Bebeau
on 5 Mar 2019
4 Comments
Steven Lord
on 5 Mar 2019
The version of the example in the documentation for release R2017b has a slightly different call to solve.
sol = solve(prob,options)
The Optimization Toolbox Release Notes state that the syntax for solve has changed since R2017b. The page to which Alan linked is for the most recent release (currently R2018b) where the "solve(prob, options)" syntax has been removed.
Alan Weiss
on 5 Mar 2019
You are undoubtedly using R2017b. The syntax for passing options to solve changed in R2018a. You should use
sol = solve(prob,options)
and remove the statement prob.optimoptions(options);.
I am a little confuse why you have a prob2struct call, but that is not directly relevant.
Alan Weiss
MATLAB mathematical toolbox documentation
Jon Bebeau
on 5 Mar 2019
Jon Bebeau
on 5 Mar 2019
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