How to use the steepest descent method to solve a function.
Mostrar comentarios más antiguos

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.
Respuestas (2)
Vinod Sudheesh
el 26 de Jun. de 2015
Editada: Vinod Sudheesh
el 26 de Jun. de 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 comentario
Sarvjeet Singh
el 28 de Sept. de 2020
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: 

seyed mohammad javad nikouei
el 14 de Jun. de 2021
0 votos
why solve in matlab by steepest descent?


Categorías
Más información sobre Curve Fitting Toolbox en Centro de ayuda y File Exchange.
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!