OptimizationTechniques/Work 1/scripts/bisection_lambdaFixed.m

%
% Keeping l (accuracy) fixed, test the iteration needed for different
% epsilon values.
%


% Clear workspace and load the functions and region
clear

funGivenEnv;

% * lambda = 0.01
% * epsilon: e < lambda/2 = 0.005
% * de: A small step away from zero and lambda/2
%       de = 0.0001
% * size: 25 points

size = 25;
lambda = 0.01;
de = 0.0001;
epsilon = linspace(de, (lambda/2)-de, size);
k = zeros(1,size);


%
% * Call the bisection method for each epsilon value for each function and
%   keep the number of iterations needed.
% * Plot the iterations k(epsilon) for each function
%
i = 0;
for f = funs
    i = i + 1;
    j = 0;
    for e = epsilon
        j = j + 1;
        [a, b, k(j)] = bisection(f, a_0, b_0, e, lambda);
    end
    subplot(1, 3, i)
    plot(epsilon, k, '-b', 'LineWidth', 1.0)
    title(titles(i), 'Interpreter', 'latex')
    xlabel('epsilon')
    ylabel('Iterations')
end