How to use the steepest descent method to solve a function.

I have an example but I still am not sure how to solve this problem. Please show me step by step on how to attack this. Thank you.

Réponses (2)

Vinod Sudheesh
Vinod Sudheesh le 26 Juin 2015
Modifié(e) : Vinod Sudheesh le 26 Juin 2015
Hello,
The below code snippet solves this problem using the "Gradient Descend Algorithm"
clc;
clear;
f=@(x)(25*x(1)*x(1)+20*x(2)*x(2)-2*x(1)-x(2));
x=[3 1]';
gf=@(x)([(50*x(1)-2) ; (40*x(1)-1)]);
n=1;
while(norm( gf(x))>0.05)
x= x-0.01*(1/n) *gf(x);
n=n+1;
end
Note that to solve this problem using the "Steepest Descend Algorithm", you will have to write additional logic for choosing the step size in every iteration.

1 commentaire

f=@ (x,y) a*(exp(bx))+c*x
how to solve
determine the general parameters for the non-linear fit using steepest descent method if the fit is given by for the data:

Connectez-vous pour commenter.

Catégories

En savoir plus sur Curve Fitting Toolbox dans Centre d'aide et File Exchange

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by