Christos Choutouridis
d42725109a
- Add output parameter to methods for objective function calls - Adjust the code to reduce objective function calls to some methods
65 lines
1.7 KiB
Matlab
65 lines
1.7 KiB
Matlab
%
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% Calculate and plot the iteration needed for different epsilon values,
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% keeping lambda (accuracy) fixed.
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%
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% Load the functions and interval
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GivenEnv;
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fig_dir = 'figures';
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if ~exist(fig_dir, 'dir')
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mkdir(fig_dir);
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end
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% Setup
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% ========================
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% lambda = 0.01
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% epsilon: e < lambda/2 = 0.005
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% de: A small step away from zero and lambda/2
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% de = 0.0001
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% N: 50 points (50 epsilon values)
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N = 50;
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lambda = 0.01;
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de = 0.0001;
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epsilon = linspace(de, (lambda/2)-de, N);
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k = zeros(1,N); % preallocate k
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n = zeros(1,N); % preallocate n
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%
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% Call the min_bisection method for each epsilon value for each
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% function and keep the number of iterations needed.
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% Then plot and save the # of iterations k(epsilon) for each function.
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%
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figure('Name', 'iterations_over_epsilon_min_bisection', 'NumberTitle', 'off');
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set(gcf, 'Position', [100, 100, 1280, 600]); % Set the figure size to HD
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for i = 1:length(funs)
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for j = 1:N
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[a, b, k(j), n(j)] = min_bisection(funs(i), a_0, b_0, epsilon(j), lambda);
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end
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fprintf('%20s(%34s ): [a, b]= [%f, %f], iters(min, max)= (%d, %d), calls(min, max)= (%d, %d)\n', ...
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"min_bisection", char(funs(i)), a(end), b(end), k(1), k(N), n(1), n(N) );
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subplot(1, length(funs), i);
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plot(epsilon, n, '-b', 'LineWidth', 1.0);
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title(titles(i), 'Interpreter', 'latex', 'FontSize', 16);
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xlabel('epsilon');
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ylabel("Calls of f" + i);
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end
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%
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% Print and save the figures
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%
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%fig_epsc = fullfile(fig_dir, "iter_over_epsilon_min_bisection" + ".epsc");
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fig_png = fullfile(fig_dir, "iter_over_epsilon_min_bisection" + ".png");
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%print(gcf, fig_epsc, '-depsc', '-r300');
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print(gcf, fig_png, '-dpng', '-r300');
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close(gcf);
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