Multivariate Nonlinear optimization using Marquardt Method
Version 1.0.0.0 (13.7 KB) by
Siamak Faridani
Multivariate Nonlinear optimization using Marquardt Method
2.7K Downloads
Updated
26 Jan 2009
No License
We use the power of symbolic toolbox in order to find the optimal point in an arbitrary multivariate function
Change the following code based on your objective function and run the program
%Function F in Symbolic Format
a='(x1^2+x2-11)^2+(x1+x2^2-7)^2';
The code will iterate and converge to x and y of the optimal point
Cite As
Siamak Faridani (2026). Multivariate Nonlinear optimization using Marquardt Method (https://uk.mathworks.com/matlabcentral/fileexchange/22778-multivariate-nonlinear-optimization-using-marquardt-method), MATLAB Central File Exchange. Retrieved .
MATLAB Release Compatibility
Created with
R2007b
Compatible with any release
Platform Compatibility
Windows macOS LinuxCategories
- Mathematics and Optimization > Optimization Toolbox > Nonlinear Optimization >
- Mathematics and Optimization > Symbolic Math Toolbox > Mathematics > Calculus >
Find more on Nonlinear Optimization in Help Center and MATLAB Answers
Tags
Discover Live Editor
Create scripts with code, output, and formatted text in a single executable document.
optimization/
| Version | Published | Release Notes | |
|---|---|---|---|
| 1.0.0.0 |
