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| author | James Scott-Brown <james@jamesscottbrown.com> | 2013-09-15 01:48:02 +0100 |
|---|---|---|
| committer | James Scott-Brown <james@jamesscottbrown.com> | 2013-09-15 01:48:02 +0100 |
| commit | e0f9a4dab392c13df8c909eb4a58a81950c30e1a (patch) | |
| tree | c11f950edd338f8e3c0f1264721058b89ac2cedd | |
| parent | 372e79a3fb3c6db8d350defae65d30f0a7f48663 (diff) | |
Comment explaining LU decomposition
| -rw-r--r-- | matlab.html.markdown | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/matlab.html.markdown b/matlab.html.markdown index eaf50e8e..98d085da 100644 --- a/matlab.html.markdown +++ b/matlab.html.markdown @@ -413,7 +413,7 @@ transpose(A) % Returns the transpose of A flipl(A) % Flip matrix left to right % Matrix Factorisations -[L, U, P] = lu(A) % LU decomposition: PA = LU +[L, U, P] = lu(A) % LU decomposition: PA = LU,L is lower triangular, U is upper triangular, P is permutation matrix [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 |