mirror of
https://github.com/kuhyx/WUT_Computer_Science.git
synced 2026-07-06 19:03:07 +02:00
59 lines
1.6 KiB
Matlab
59 lines
1.6 KiB
Matlab
function [] = task2main()
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fprintf('DATA 1\n');
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MAX_ITERATIONS = 2;
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vsize = zeros(MAX_ITERATIONS, 1);
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verr = zeros(MAX_ITERATIONS, 1);
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for i = 1:MAX_ITERATIONS
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size = 2^(i-1) * 10;
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fprintf('\n');
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fprintf('Size %d\n', size);
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[A, b] = exampleGenerator(size, 1);
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tic;
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X = gaussianEliminationCompletePivoting(A, b);
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fprintf('Time %d\n', toc);
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residuum = A*X - b;
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residuumErr = calculateNorm(residuum);
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fprintf('Error as residuum norm %d\n', residuumErr);
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vsize(i) = size;
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verr(i) = residuumErr;
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end
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figure();
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plot(vsize, verr, '.');
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title('Dane 1');
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fprintf('\nDATA 2\n');
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for i = 1:MAX_ITERATIONS
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size = 2^(i-1) * 10;
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fprintf('\n');
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fprintf('Size %d\n', size);
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[A, b] = exampleGenerator(size, 2);
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tic;
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X = gaussianEliminationCompletePivoting(A, b);
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fprintf('Time %d\n', toc);
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residuum = A*X - b;
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residuumErr = calculateNorm(residuum);
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fprintf('Error as residuum norm %d\n', residuumErr);
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vsize(i) = size;
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verr(i) = residuumErr;
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end
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figure();
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plot(vsize, verr, '.');
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title('Dane 2');
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fprintf('\nDATA 3\n');
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for i = 1:MAX_ITERATIONS
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size = 2^(i-1) * 10;
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fprintf('\n');
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fprintf('Size %d\n', size);
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[A, b] = exampleGenerator(size, 3);
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tic;
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X = gaussianEliminationCompletePivoting(A, b);
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fprintf('Time %d\n', toc);
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residuum = A*X - b;
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residuumErr = calculateNorm(residuum);
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fprintf('Error as residuum norm %d\n', residuumErr);
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vsize(i) = size;
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verr(i) = residuumErr;
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end
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figure();
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plot(vsize, verr, '.');
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title('Dane 3');
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end |