How to fine numerical gradient

4 views (last 30 days)
Luqman Saleem
Luqman Saleem on 20 Mar 2024
Commented: Luqman Saleem on 21 Mar 2024
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.

Accepted Answer

Chunru
Chunru on 21 Mar 2024
clear; clc;
xs = linspace(1,2,100);
ys = linspace(1,3,100)'; % transpose here
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
%}
% Try use array operation instead of loops
fun_values = xs.^2 + ys.^2;
% Gradient
[Fx, Fy] = gradient(fun_values, xs, ys);

More Answers (1)

VBBV
VBBV on 21 Mar 2024
Edited: VBBV on 21 Mar 2024
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)
Fx = 100×100
0.0203 0.0204 0.0206 0.0208 0.0210 0.0212 0.0214 0.0216 0.0218 0.0220 0.0222 0.0224 0.0227 0.0229 0.0231 0.0233 0.0235 0.0237 0.0239 0.0241 0.0243 0.0245 0.0247 0.0249 0.0251 0.0253 0.0255 0.0257 0.0259 0.0261 0.0203 0.0204 0.0206 0.0208 0.0210 0.0212 0.0214 0.0216 0.0218 0.0220 0.0222 0.0224 0.0227 0.0229 0.0231 0.0233 0.0235 0.0237 0.0239 0.0241 0.0243 0.0245 0.0247 0.0249 0.0251 0.0253 0.0255 0.0257 0.0259 0.0261 0.0203 0.0204 0.0206 0.0208 0.0210 0.0212 0.0214 0.0216 0.0218 0.0220 0.0222 0.0224 0.0227 0.0229 0.0231 0.0233 0.0235 0.0237 0.0239 0.0241 0.0243 0.0245 0.0247 0.0249 0.0251 0.0253 0.0255 0.0257 0.0259 0.0261 0.0203 0.0204 0.0206 0.0208 0.0210 0.0212 0.0214 0.0216 0.0218 0.0220 0.0222 0.0224 0.0227 0.0229 0.0231 0.0233 0.0235 0.0237 0.0239 0.0241 0.0243 0.0245 0.0247 0.0249 0.0251 0.0253 0.0255 0.0257 0.0259 0.0261 0.0203 0.0204 0.0206 0.0208 0.0210 0.0212 0.0214 0.0216 0.0218 0.0220 0.0222 0.0224 0.0227 0.0229 0.0231 0.0233 0.0235 0.0237 0.0239 0.0241 0.0243 0.0245 0.0247 0.0249 0.0251 0.0253 0.0255 0.0257 0.0259 0.0261 0.0203 0.0204 0.0206 0.0208 0.0210 0.0212 0.0214 0.0216 0.0218 0.0220 0.0222 0.0224 0.0227 0.0229 0.0231 0.0233 0.0235 0.0237 0.0239 0.0241 0.0243 0.0245 0.0247 0.0249 0.0251 0.0253 0.0255 0.0257 0.0259 0.0261 0.0203 0.0204 0.0206 0.0208 0.0210 0.0212 0.0214 0.0216 0.0218 0.0220 0.0222 0.0224 0.0227 0.0229 0.0231 0.0233 0.0235 0.0237 0.0239 0.0241 0.0243 0.0245 0.0247 0.0249 0.0251 0.0253 0.0255 0.0257 0.0259 0.0261 0.0203 0.0204 0.0206 0.0208 0.0210 0.0212 0.0214 0.0216 0.0218 0.0220 0.0222 0.0224 0.0227 0.0229 0.0231 0.0233 0.0235 0.0237 0.0239 0.0241 0.0243 0.0245 0.0247 0.0249 0.0251 0.0253 0.0255 0.0257 0.0259 0.0261 0.0203 0.0204 0.0206 0.0208 0.0210 0.0212 0.0214 0.0216 0.0218 0.0220 0.0222 0.0224 0.0227 0.0229 0.0231 0.0233 0.0235 0.0237 0.0239 0.0241 0.0243 0.0245 0.0247 0.0249 0.0251 0.0253 0.0255 0.0257 0.0259 0.0261 0.0203 0.0204 0.0206 0.0208 0.0210 0.0212 0.0214 0.0216 0.0218 0.0220 0.0222 0.0224 0.0227 0.0229 0.0231 0.0233 0.0235 0.0237 0.0239 0.0241 0.0243 0.0245 0.0247 0.0249 0.0251 0.0253 0.0255 0.0257 0.0259 0.0261
Fy = 100×100
0.0408 0.0408 0.0408 0.0408 0.0408 0.0408 0.0408 0.0408 0.0408 0.0408 0.0408 0.0408 0.0408 0.0408 0.0408 0.0408 0.0408 0.0408 0.0408 0.0408 0.0408 0.0408 0.0408 0.0408 0.0408 0.0408 0.0408 0.0408 0.0408 0.0408 0.0412 0.0412 0.0412 0.0412 0.0412 0.0412 0.0412 0.0412 0.0412 0.0412 0.0412 0.0412 0.0412 0.0412 0.0412 0.0412 0.0412 0.0412 0.0412 0.0412 0.0412 0.0412 0.0412 0.0412 0.0412 0.0412 0.0412 0.0412 0.0412 0.0412 0.0420 0.0420 0.0420 0.0420 0.0420 0.0420 0.0420 0.0420 0.0420 0.0420 0.0420 0.0420 0.0420 0.0420 0.0420 0.0420 0.0420 0.0420 0.0420 0.0420 0.0420 0.0420 0.0420 0.0420 0.0420 0.0420 0.0420 0.0420 0.0420 0.0420 0.0429 0.0429 0.0429 0.0429 0.0429 0.0429 0.0429 0.0429 0.0429 0.0429 0.0429 0.0429 0.0429 0.0429 0.0429 0.0429 0.0429 0.0429 0.0429 0.0429 0.0429 0.0429 0.0429 0.0429 0.0429 0.0429 0.0429 0.0429 0.0429 0.0429 0.0437 0.0437 0.0437 0.0437 0.0437 0.0437 0.0437 0.0437 0.0437 0.0437 0.0437 0.0437 0.0437 0.0437 0.0437 0.0437 0.0437 0.0437 0.0437 0.0437 0.0437 0.0437 0.0437 0.0437 0.0437 0.0437 0.0437 0.0437 0.0437 0.0437 0.0445 0.0445 0.0445 0.0445 0.0445 0.0445 0.0445 0.0445 0.0445 0.0445 0.0445 0.0445 0.0445 0.0445 0.0445 0.0445 0.0445 0.0445 0.0445 0.0445 0.0445 0.0445 0.0445 0.0445 0.0445 0.0445 0.0445 0.0445 0.0445 0.0445 0.0453 0.0453 0.0453 0.0453 0.0453 0.0453 0.0453 0.0453 0.0453 0.0453 0.0453 0.0453 0.0453 0.0453 0.0453 0.0453 0.0453 0.0453 0.0453 0.0453 0.0453 0.0453 0.0453 0.0453 0.0453 0.0453 0.0453 0.0453 0.0453 0.0453 0.0461 0.0461 0.0461 0.0461 0.0461 0.0461 0.0461 0.0461 0.0461 0.0461 0.0461 0.0461 0.0461 0.0461 0.0461 0.0461 0.0461 0.0461 0.0461 0.0461 0.0461 0.0461 0.0461 0.0461 0.0461 0.0461 0.0461 0.0461 0.0461 0.0461 0.0469 0.0469 0.0469 0.0469 0.0469 0.0469 0.0469 0.0469 0.0469 0.0469 0.0469 0.0469 0.0469 0.0469 0.0469 0.0469 0.0469 0.0469 0.0469 0.0469 0.0469 0.0469 0.0469 0.0469 0.0469 0.0469 0.0469 0.0469 0.0469 0.0469 0.0478 0.0478 0.0478 0.0478 0.0478 0.0478 0.0478 0.0478 0.0478 0.0478 0.0478 0.0478 0.0478 0.0478 0.0478 0.0478 0.0478 0.0478 0.0478 0.0478 0.0478 0.0478 0.0478 0.0478 0.0478 0.0478 0.0478 0.0478 0.0478 0.0478

Categories

Find more on Loops and Conditional Statements in Help Center and File Exchange

Products


Release

R2023b

Community Treasure Hunt

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

Start Hunting!