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


% Clear workspace and load the functions and interval
clear
addpath('..');
GivenEnv;

% * lambda = 0.01
% * epsilon: e < lambda/2 = 0.005
% * de: A small step away from zero and lambda/2
%       de = 0.0001
% * N: 50 points

N = 50;
lambda = 0.01;
de = 0.0001;
epsilon = linspace(de, (lambda/2)-de, N);
k = zeros(1,N); % preallocate k


%
% * 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
%
for i = 1:length(funs)
    for j = 1:N
        [a, b, k(j)] = bisection(funs{i}, a_0, b_0, epsilon(j), lambda);
    end
    subplot(1, length(funs), i)
    plot(epsilon, k, '-b', 'LineWidth', 1.0)
    title(titles(i), 'Interpreter', 'latex')
    xlabel('epsilon')
    ylabel('Iterations')
end