golden_sector method added
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function [a, b, k] = golden_section(fun, alpha, beta, lambda)
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%
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% Error checking
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if lambda <= 0
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error ('Convergence criteria not met')
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end
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% Init variables
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gamma = 0.618;
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a = alpha;
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b = beta;
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% calculate x1, x2 of the first iteration, since the following iteration
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% will not require to calculate both
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k=1;
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x_1 = a(k) + (1 - gamma)*(b(k) - a(k));
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x_2 = a(k) + gamma*(b(k) - a(k));
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while b(k) - a(k) > lambda
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% set new search interval
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k = k + 1;
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if fun(x_1) < fun(x_2)
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a(k) = a(k-1);
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b(k) = x_2;
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x_2 = x_1;
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x_1 = a(k) + (1 - gamma)*(b(k) - a(k));
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else
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a(k) = x_1;
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b(k) = b(k-1);
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x_1 = x_2;
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x_2 = a(k) + gamma*(b(k) - a(k));
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end
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end
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@@ -0,0 +1,45 @@
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%
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% Plot the [a,b] interval over the iterations for different lambda
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% values (min, mid, max))
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%
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% Clear workspace and load the functions and interval
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clear
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addpath('..');
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GivenEnv;
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% * lambda_min: 0.0001
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% * lambda_max: 0.1
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% * N: 3 lambda values
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N = 3;
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lambda_min = 0.0001;
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lambda_max = 0.1;
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lambda = linspace(lambda_min, lambda_max, N);
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k = zeros(1, N); % preallocate k
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%
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% * Call the golden_sector method for each lambda value for each function and
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% keep the number of iterations needed.
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% * Plot the [a,b] interval over iterations for each lambda for each function
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%
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for i = 1:length(funs)
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figure;
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for j = 1:N
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[a, b, k(j)] = golden_section(funs{i}, a_0, b_0, lambda(j));
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subplot(length(funs), 1, j)
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plot(1:length(a), a, 'ob')
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hold on
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plot(1:length(b), b, '*r')
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if j == 1
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title(titles(i), 'Interpreter', 'latex')
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end
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xlabel("Iterations @lambda=" + lambda(j))
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ylabel('[a_k, b_k]')
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end
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end
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@@ -0,0 +1,39 @@
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%
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% Test the iteration needed for different lambda values.
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%
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% Clear workspace and load the functions and interval
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clear
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addpath('..');
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GivenEnv;
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% * lambda_min: 0.0001
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% * lambda_max: 0.1
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% * N: 50 points
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N = 50;
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lambda_min = 0.0001;
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lambda_max = 0.1;
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lambda = linspace(lambda_min, lambda_max, N);
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k = zeros(1, N); % preallocate k
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%
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% * Call the golden_sector method for each lambda value for each function and
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% keep the number of iterations needed.
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% * Plot the iterations k(lambda) for each function
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%
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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)] = golden_section(funs{i}, a_0, b_0, lambda(j));
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end
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subplot(1, length(funs), i)
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plot(lambda, k, '-b', 'LineWidth', 1.0)
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title(titles(i), 'Interpreter', 'latex')
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xlabel('lambda')
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ylabel('Iterations')
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end
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