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Multivariate Nonlinear optimization using Marquardt Method

26 Jan 2009

No BSD License

File Information
Description	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
MATLAB release	MATLAB 7.5 (R2007b)
Other requirements	Based on your MATLAB version you might need symbolic toolbox
Zip File Content
HTML Files	Marquardt's Optimization Method for Multiple Variable Functions
Other Files	optimization/, optimization/Marquardt.m, optimization/seeMe_files/, optimization/seeMe_files/ga.js, optimization/seeMe_files/image002.gif

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Everyone's Tags	derivative, hessian, nonlinear, optimization
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Tag	Applied By	Date/Time
optimization	Siamak Faridani	26 Jan 2009 15:46:05
nonlinear	Siamak Faridani	26 Jan 2009 15:46:05
hessian	Siamak Faridani	26 Jan 2009 15:46:05
derivative	Siamak Faridani	26 Jan 2009 15:46:05

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