22 lines
683 B
Matlab

% Given environment
clear;
% Setup the function under test
syms x y;
fexpr = x^5 * exp(-x^2 - y^2);
title_fun = "$f(x,y) = x^5 \cdot e^{-x^2 - y^2}$";
% Calculate the gradient and Hessian
grad_fexpr = gradient(fexpr, [x, y]); % Gradient of f
hessian_fexpr = hessian(fexpr, [x, y]); % Hessian of f
% Convert symbolic expressions to MATLAB functions
fun = matlabFunction(fexpr, 'Vars', [x, y]); % Function
grad_fun = matlabFunction(grad_fexpr, 'Vars', [x, y]); % Gradient
hessian_fun = matlabFunction(hessian_fexpr, 'Vars', [x, y]); % Hessian
% Amijo globals
global amijo_beta amijo_sigma
%fixed step size globals
global gamma_fixed_step