OptimizationTechniques/Work 3/scripts/GivenEnv.m

% Given environment

clear;
% Setup the function under test
syms x [2 1] real;
fexpr = (1/3)*x(1)^2 +3*x(2)^2;
title_fun = "$f(x) = \frac{1}{3}{x_1}^2 + 3{x_2}^2$";

XSetLimmits = [-10, 5 ; -8, 12];

% Calculate the gradient and Hessian
grad_fexpr = gradient(fexpr, x); % Gradient of f
hessian_fexpr = hessian(fexpr, x);   % Hessian of f

% Convert symbolic expressions to MATLAB functions
fun         = matlabFunction(fexpr, 'Vars', {x});         % Function
grad_fun    = matlabFunction(grad_fexpr, 'Vars', {x});    % Gradient
hessian_fun = matlabFunction(hessian_fexpr, 'Vars', {x}); % Hessian

% Minimum reference
[Xmin, Fmin] = fminsearch(fun, [-1, -1]');
Xmin = round(Xmin, 3);
Fmin = round(Fmin, 3);

% Amijo globals
global amijo_beta; % Step reduction factor in [0.1, 0.5] (typical range: [0.1, 0.8])
global amijo_sigma; % Sufficient decrease constant in [1e-5, 0.1] (typical range: [0.01, 0.3])

%fixed step size globals
global  gamma_fixed_step

global image_width, 
global image_height;

image_width = 960;
image_height = 640;