sl_leastSquares()

Optimization

sl_leastSquares() is a MATLAB®-compatible optimization function for internal nonlinear least-squares solver. use lsqnonlin() as the public alias. Run it online in your browser with SimLab — free, no install, no license required.

Internal nonlinear least-squares solver. Use lsqnonlin() as the public alias.

Syntax

sl_leastSquares(f, x0)

Examples — run sl_leastSquares() in your browser

sl_leastSquares(@(x) [x(1)-1, x(2)-2], [0, 0])
▶ Run

Limitations

Requires server acceleration.

See Also

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Frequently Asked Questions about sl_leastSquares()

Is the sl_leastSquares() function free to use in SimLab?

Yes. SimLab is 100% free — no signup, no license, and no usage limits. You can run sl_leastSquares() and 510+ other MATLAB®-compatible functions directly in your browser at simulations4all.com/simlab.

Do I need to install MATLAB to use sl_leastSquares()?

No. SimLab runs entirely in your web browser with zero installation. The sl_leastSquares() function works without any MATLAB® license or software download.

What does sl_leastSquares() do?

Internal nonlinear least-squares solver. Use lsqnonlin() as the public alias. It is a MATLAB®-compatible optimization function available in SimLab with the same calling syntax as MATLAB® — typically: sl_leastSquares(f, x0).

Can I run sl_leastSquares() in my browser?

Yes. Open SimLab at simulations4all.com/simlab, write or paste code that calls sl_leastSquares(), and run it. Note: this function uses server acceleration and is available on paid tiers.

This function requires server acceleration. Available on paid tiers.

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