matlab-solve-optimization
bymatlab· 88 skills
Use when writing, solving, or debugging MATLAB optimization code — formulating problems (optimproblem, optimvar, fcn2optimexpr), selecting and configuring solvers (fmincon, linprog, quadprog, intlinprog, lsqnonlin, ga, surrogateopt, optimoptions), or validating results (exitflag, convergence, constraint violations). Covers problem-based and solver-based approaches, solver tuning, and solution verification.
How to install matlab-solve-optimization?
matlab/matlab-agentic-toolkit/matlab-solve-optimization
$npx -y skills add matlab/matlab-agentic-toolkit --skill matlab-solve-optimizationInstalls into the current project.
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Run `npx skills use "https://github.com/matlab/matlab-agentic-toolkit" --skill "matlab/matlab-agentic-toolkit/matlab-solve-optimization"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/matlab/matlab-agentic-toolkit" that are relevant to the current task. Run `npx skills add "https://github.com/matlab/matlab-agentic-toolkit"` and select the relevant skills, then follow their instructions.
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