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Relabel a section to 'Matrix Factorisations

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James Scott-Brown 2013-09-15 01:42:13 +01:00
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@ -412,7 +412,7 @@ dot(A,B) % Returns scalar product of two vectors (must have the same length)
transpose(A) % Returns the transpose of A transpose(A) % Returns the transpose of A
flipl(A) % Flip matrix left to right flipl(A) % Flip matrix left to right
% Alternative forms for matrices % Matrix Factorisations
[L, U, P] = lu(A) % LU decomposition: PA = LU [L, U, P] = lu(A) % LU decomposition: PA = LU
[P, D] = eig(A) % eigen-decomposition: AP = PD, P's columns are eigenvectors and D's diagonals are eigenvalues [P, D] = eig(A) % eigen-decomposition: AP = PD, P's columns are eigenvectors and D's diagonals are eigenvalues
[U,S,V] = svd(X) % SVD: XV = US, U and V are unitary matrices, S has non-negative diagonal elements in decreasing order [U,S,V] = svd(X) % SVD: XV = US, U and V are unitary matrices, S has non-negative diagonal elements in decreasing order