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| author | James Scott-Brown <james@jamesscottbrown.com> | 2013-09-15 01:42:13 +0100 |
|---|---|---|
| committer | James Scott-Brown <james@jamesscottbrown.com> | 2013-09-15 01:42:13 +0100 |
| commit | 372e79a3fb3c6db8d350defae65d30f0a7f48663 (patch) | |
| tree | fe39bf2b8313b3b2260dc6578b595e9eccb53a3f | |
| parent | 5bf3efe1652144648c4b8c0d3557180545d04cfa (diff) | |
Relabel a section to 'Matrix Factorisations
| -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 1e48618d..eaf50e8e 100644 --- a/matlab.html.markdown +++ b/matlab.html.markdown @@ -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 flipl(A) % Flip matrix left to right -% Alternative forms for matrices +% Matrix Factorisations [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 [U,S,V] = svd(X) % SVD: XV = US, U and V are unitary matrices, S has non-negative diagonal elements in decreasing order |