How to fine numerical gradient
Afficher commentaires plus anciens
I have a function f(x,y). Following is just a sample function explaining how I save f(x,y) value in a 2D array.
clear; clc;
xs = linspace(1,2,100);
ys = linspace(1,3,100);
fun_values = zeros(100,100);
for ix = 1:100
x = xs(ix);
for iy = 1:100
y = ys(iy);
fun_values(ix,iy) = x^2+y^2;
end
end
I want to calculate
and
. I am confused what is the correct way to use gradient() function given the way how I store values in fun_values variable.
and
. I am confused what is the correct way to use gradient() function given the way how I store values in fun_values variable.Réponse acceptée
Plus de réponses (1)
There is another way to find the numerical gradient for the given function
clear; clc;
xs = linspace(1,2,100);
ys = linspace(1,3,100)'; % transpose here
fun_values = zeros(100,100);
[Xs, Ys] = meshgrid(xs,ys);
% Try use array operation instead of loops
fun_values = Xs.^2 + Ys.^2;
% Gradient
[Fx, Fy] = gradient(fun_values)
1 commentaire
Luqman Saleem
le 21 Mar 2024
Catégories
En savoir plus sur Get Started with MATLAB 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!