29 lines
768 B
Matlab
29 lines
768 B
Matlab
meansquarederrorline; % generate data
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c0 = 2.0;
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eps = 0.00001;
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thresh = 1.0;
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[cest, cs, mses] = gradientDescentCubic(x, y, c0, eps, thresh);
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subplot(2, 2, 1); % top left panel
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hold on;
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plot(cs, '-o');
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plot([1, length(cs)], [c, c], 'k'); % line indicating true c value
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hold off;
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xlabel('Iteration');
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ylabel('C');
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subplot(2, 2, 3); % bottom left panel
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plot(mses, '-o');
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xlabel('Iteration steps');
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ylabel('MSE');
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subplot(1, 2, 2); % right panel
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hold on;
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% generate x-values for plottig the fit:
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xx = min(x):0.01:max(x);
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yy = cest * xx.^3;
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plot(xx, yy);
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plot(x, y, 'o'); % plot original data
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xlabel('Size [m]');
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ylabel('Weight [kg]');
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legend('fit', 'data', 'location', 'northwest');
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