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authorGravatar Benoit Jacob <jacob.benoit.1@gmail.com>2009-10-19 17:22:04 -0400
committerGravatar Benoit Jacob <jacob.benoit.1@gmail.com>2009-10-19 17:22:04 -0400
commitd1db1352f5632281a822fd0f1f59dd7d96b876a1 (patch)
tree6c881cdb4cd6bf0337fc62a31d1b08ab94f9c4df /doc
parent890bff977eeff9a5d461812a0048c89ea30fd30a (diff)
update doc snippets
Diffstat (limited to 'doc')
-rw-r--r--doc/snippets/LU_computeImage.cpp13
-rw-r--r--doc/snippets/LU_computeKernel.cpp10
-rw-r--r--doc/snippets/LU_image.cpp2
3 files changed, 1 insertions, 24 deletions
diff --git a/doc/snippets/LU_computeImage.cpp b/doc/snippets/LU_computeImage.cpp
deleted file mode 100644
index 5c812cc4c..000000000
--- a/doc/snippets/LU_computeImage.cpp
+++ /dev/null
@@ -1,13 +0,0 @@
-MatrixXd m(3,3);
-m << 1,1,0,
- 1,3,2,
- 0,1,1;
-cout << "Here is the matrix m:" << endl << m << endl;
-LU<Matrix3d> lu(m);
-// allocate the matrix img with the correct size to avoid reallocation
-MatrixXd img(m.rows(), lu.rank());
-lu.computeImage(&img);
-cout << "Notice that the middle column is the sum of the two others, so the "
- << "columns are linearly dependent." << endl;
-cout << "Here is a matrix whose columns have the same span but are linearly independent:"
- << endl << img << endl;
diff --git a/doc/snippets/LU_computeKernel.cpp b/doc/snippets/LU_computeKernel.cpp
deleted file mode 100644
index b08f7f1ea..000000000
--- a/doc/snippets/LU_computeKernel.cpp
+++ /dev/null
@@ -1,10 +0,0 @@
-MatrixXf m = MatrixXf::Random(3,5);
-cout << "Here is the matrix m:" << endl << m << endl;
-LU<MatrixXf> lu(m);
-// allocate the matrix ker with the correct size to avoid reallocation
-MatrixXf ker(m.rows(), lu.dimensionOfKernel());
-lu.computeKernel(&ker);
-cout << "Here is a matrix whose columns form a basis of the kernel of m:"
- << endl << ker << endl;
-cout << "By definition of the kernel, m*ker is zero:"
- << endl << m*ker << endl;
diff --git a/doc/snippets/LU_image.cpp b/doc/snippets/LU_image.cpp
index 0d1088a2f..d3092e8b6 100644
--- a/doc/snippets/LU_image.cpp
+++ b/doc/snippets/LU_image.cpp
@@ -6,4 +6,4 @@ cout << "Here is the matrix m:" << endl << m << endl;
cout << "Notice that the middle column is the sum of the two others, so the "
<< "columns are linearly dependent." << endl;
cout << "Here is a matrix whose columns have the same span but are linearly independent:"
- << endl << m.lu().image() << endl;
+ << endl << m.lu().image(m) << endl;