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

51 visualizaciones (últimos 30 días)
mandoo511
mandoo511 el 6 de Abr. de 2015
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
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
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:

Iniciar sesión para comentar.


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

Categorías

Más información sobre Least Squares en Help Center y File Exchange.

Etiquetas

Community Treasure Hunt

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

Start Hunting!

Translated by