How to use the steepest descent method to solve a function.
46 visualizaciones (últimos 30 días)
Mostrar comentarios más antiguos
mandoo511
el 6 de Abr. de 2015
Respondida: seyed mohammad javad nikouei
el 14 de Jun. de 2021
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.
0 comentarios
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
why solve in matlab by steepest descent?
0 comentarios
Ver también
Categorías
Más información sobre Mathematics and Optimization en Help Center y File Exchange.
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!