mirror of
https://github.com/kuhyx/WUT_Computer_Science.git
synced 2026-07-06 16:03:18 +02:00
59 lines
2.0 KiB
Mathematica
59 lines
2.0 KiB
Mathematica
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function [] = task1main()
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%SIZE 5
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tolerance = 0.1;
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for i = 1:5
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sum = 0;
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for j = 1:30
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A = rand(5);
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[eigenvalues, iterations] = eigenvaluesWithShifts(A, tolerance, 1000000);
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sum = sum + iterations;
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if j == 30
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g=sprintf('%d ', eig(A));
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fprintf('\nExample results for size 5 matlab\n%s\n', g);
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g=sprintf('%d ', eigenvalues);
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fprintf('\nExample results for size 5 my\n%s\n', g);
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end
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end
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fprintf('\nMean iterations for tolerance %d\n', tolerance);
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fprintf('%d\n', sum/30);
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tolerance = tolerance / 10;
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end
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% SIZE 10
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tolerance = 0.1;
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for i = 1:5
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sum = 0;
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for j = 1:30
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A = rand(10);
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[eigenvalues, iterations] = eigenvaluesWithShifts(A, tolerance, 1000000);
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sum = sum + iterations;
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if j == 30
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g=sprintf('%d ', eig(A));
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fprintf('\nExample results for size 10 matlab\n%s\n', g);
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g=sprintf('%d ', eigenvalues);
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fprintf('\nExample results for size 10 my\n%s\n', g);
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end
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end
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fprintf('\nMean iterations for tolerance %d\n', tolerance);
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fprintf('%d\n', sum/30);
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tolerance = tolerance / 10;
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end
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% SIZE 20
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tolerance = 0.1;
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for i = 1:5
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sum = 0;
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for j = 1:30
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A = rand(20);
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[eigenvalues, iterations] = eigenvaluesWithShifts(A, tolerance, 1000000);
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sum = sum + iterations;
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if j == 30
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g=sprintf('%d ', eig(A));
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fprintf('\nExample results for size 20 matlab\n%s\n', g);
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g=sprintf('%d ', eigenvalues);
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fprintf('\nExample results for size 20 my\n%s\n', g);
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end
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end
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fprintf('\nMean iterations for tolerance %d\n', tolerance);
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fprintf('%d\n', sum/30);
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tolerance = tolerance / 10;
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end
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end
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