v4.0.2

DrTimothyAldenDavis · Oct 19, 2019 · d8d8979 · d8d8979
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diff --git a/MATLAB_Tools/Factorize/Contents.m b/MATLAB_Tools/Factorize/Contents.m
@@ -52,9 +52,9 @@
 %   factorization_chol_sparse - P'*A*P = L*L' where A is sparse and sym. pos. def.
 %   factorization_cod_dense   - complete orthogonal factorization: A = U*R*V' where A is full.
 %   factorization_cod_sparse  - complete orthogonal factorization: A = U*R*V' where A is sparse.
-%   factorization_ldl_dense   - P'*A*P = L*D*L' where A is sparse and full
+%   factorization_ldl_dense   - A(p,p) = L*D*L' where A is sparse and full
 %   factorization_ldl_sparse  - P'*A*P = L*D*L' where A is sparse and symmetric
-%   factorization_lu_dense    - P*A = L*U where A is square and full.
+%   factorization_lu_dense    - A(p,:) = L*U where A is square and full.
 %   factorization_lu_sparse   - P*A*Q = L*U where A is square and sparse.
 %   factorization_qr_dense    - A = Q*R where A is full.
 %   factorization_qr_sparse   - (A*P)'*(A*P) = R'*R where A is sparse.

diff --git a/MATLAB_Tools/Factorize/Demo/factorize_demo.m b/MATLAB_Tools/Factorize/Demo/factorize_demo.m
@@ -24,7 +24,7 @@
 %
 % "Don't let that INV go past your eyes; to solve that system, FACTORIZE!"
 
-%% How to use BACKSLASH solve A*x=b
+%% How to use BACKSLASH to solve A*x=b
 %
 % First, let's create a square matrix A and a right-hand-side b for a
 % linear system A*x=b.  There are many ways to solve this system.  The

diff --git a/MATLAB_Tools/Factorize/Doc/factorize_article.pdf b/MATLAB_Tools/Factorize/Doc/factorize_article.pdf
diff --git a/MATLAB_Tools/Factorize/Doc/factorize_demo.html b/MATLAB_Tools/Factorize/Doc/factorize_demo.html
diff --git a/MATLAB_Tools/Factorize/Doc/factorize_demo.pdf b/MATLAB_Tools/Factorize/Doc/factorize_demo.pdf