sl_minimizeCon()
Optimization
sl_minimizeCon() is a MATLAB®-compatible optimization function for constrained minimization. minimizes f(x) subject to linear inequality constraints a*x <= b. Run it online in your browser with SimLab — free, no install, no license required.
Constrained minimization. Minimizes f(x) subject to linear inequality constraints A*x <= b.
Syntax
sl_minimizeCon(f, x0, A, b)
Examples — run sl_minimizeCon() in your browser
sl_minimizeCon(@(x) x(1)^2+x(2)^2, [1,1], [[1,1]], [1])▶ Run
Limitations
Requires server acceleration.
See Also
More Optimization Functions
Browse other free, MATLAB®-compatible optimization functions in SimLab:
Frequently Asked Questions about sl_minimizeCon()
Is the sl_minimizeCon() function free to use in SimLab?
Yes. SimLab is 100% free — no signup, no license, and no usage limits. You can run sl_minimizeCon() and 510+ other MATLAB®-compatible functions directly in your browser at simulations4all.com/simlab.
Do I need to install MATLAB to use sl_minimizeCon()?
No. SimLab runs entirely in your web browser with zero installation. The sl_minimizeCon() function works without any MATLAB® license or software download.
What does sl_minimizeCon() do?
Constrained minimization. Minimizes f(x) subject to linear inequality constraints A*x <= b. It is a MATLAB®-compatible optimization function available in SimLab with the same calling syntax as MATLAB® — typically: sl_minimizeCon(f, x0, A, b).
Can I run sl_minimizeCon() in my browser?
Yes. Open SimLab at simulations4all.com/simlab, write or paste code that calls sl_minimizeCon(), and run it. Note: this function uses server acceleration and is available on paid tiers.
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