89 lines
2.0 KiB
Matlab
89 lines
2.0 KiB
Matlab
%% Assignment 2
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% Name: Claudio Maggioni
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%
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% Date: 19/3/2019
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%
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% This is a template file for the first assignment to get started with running
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% and publishing code in Matlab. Each problem has its own section (delineated
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% by |%%|) and can be run in isolation by clicking into the particular section
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% and pressing |Ctrl| + |Enter| (evaluate current section).
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%
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% To generate a pdf for submission in your current directory, use the following
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% three lines of code at the command window:
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%
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% >> options.format = 'pdf'; options.outputDir = pwd; publish('assignment3.m', options)
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%
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%% Problem 3
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format long
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A = [4 3 2 1; 8 8 5 2; 16 12 10 5; 32 24 20 11];
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[L,U,P] = pivotedOuterProductLU(A);
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display(L);
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display(U);
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display(P);
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%% Problem 6
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[X,Y] = meshgrid((0:2000)/2000);
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A = exp(-sqrt((X-Y).^2));
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L = outerProductCholesky(A);
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disp(norm(L*L'-A, 'fro'));
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%% Problem 3 (continued)
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function [L,U,P] = pivotedOuterProductLU(A)
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dimensions = size(A);
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n = dimensions(1);
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p = 1:n;
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L = zeros(n);
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U = zeros(n);
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for i = 1:n
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values = A(:,i);
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values(values == 0) = -Inf;
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[~, p_k] = max(values);
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k = find(p == p_k);
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if k == -Inf
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disp("Matrix is singular");
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L = [];
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U = [];
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P = [];
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return
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end
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p(k) = p(i);
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p(i) = p_k;
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L(:,i) = A(:,i) / A(p(i),i);
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U(i,:) = A(p(i),:);
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A = A - L(:,i) * U(i,:);
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end
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I = eye(n);
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P = zeros(n);
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for i = 1:n
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P(:,i) = I(:,p(i));
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end
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P = transpose(P);
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L = P * L;
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end
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%% Problem 6 (continued)
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function [L] = outerProductCholesky(A)
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if ~all(eig(A) >= 0)
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disp("matrix is not positive definite");
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L = [];
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return;
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end
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dimensions = size(A);
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n = dimensions(1);
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L = zeros(n);
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for i = 1:n
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L(:, i) = A(:, i) / sqrt(A(i,i));
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A = A - L(:, i) * transpose(L(:, i));
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end
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end
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