How to use the steepest descent method to solve a function.
8 Ansichten (letzte 30 Tage)
Ältere Kommentare anzeigen
![](https://www.mathworks.com/matlabcentral/answers/uploaded_files/148746/image.png)
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 Kommentare
Antworten (2)
Vinod Sudheesh
am 26 Jun. 2015
Bearbeitet: Vinod Sudheesh
am 26 Jun. 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 Kommentar
Sarvjeet Singh
am 28 Sep. 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: ![](https://www.mathworks.com/matlabcentral/answers/uploaded_files/367486/image.png)
![](https://www.mathworks.com/matlabcentral/answers/uploaded_files/367486/image.png)
Siehe auch
Kategorien
Mehr zu Least Squares finden Sie in Help Center und File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!