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authorGravatar Jitse Niesen <jitse@maths.leeds.ac.uk>2011-05-10 09:59:58 +0100
committerGravatar Jitse Niesen <jitse@maths.leeds.ac.uk>2011-05-10 09:59:58 +0100
commit0c463a21c4a87e9ff3daf7df365082f7df55e3dd (patch)
treeecd959faa0a2201d03726b09f8fd4ab44f34460f /unsupported
parentd7e3c949be71dd26e4554547ebb0aa3673a1ec47 (diff)
Forgot to 'hg add' example file in last commit.
Diffstat (limited to 'unsupported')
-rw-r--r--unsupported/Eigen/MatrixFunctions2
-rw-r--r--unsupported/doc/examples/MatrixSquareRoot.cpp16
2 files changed, 17 insertions, 1 deletions
diff --git a/unsupported/Eigen/MatrixFunctions b/unsupported/Eigen/MatrixFunctions
index d49350f67..ecdf23cef 100644
--- a/unsupported/Eigen/MatrixFunctions
+++ b/unsupported/Eigen/MatrixFunctions
@@ -310,7 +310,7 @@ cut.
The computation is the same as in the real case, except that the
complex Schur decomposition is used to reduce the matrix to a
triangular matrix. The theoretical cost is the same. Details are in:
-&Aring;ke Bj&ouml;rck and Scen Hammarling, "A Schur method for the
+&Aring;ke Bj&ouml;rck and Sven Hammarling, "A Schur method for the
square root of a matrix", <em>Linear Algebra Appl.</em>,
52/53:127&ndash;140, 1983.
diff --git a/unsupported/doc/examples/MatrixSquareRoot.cpp b/unsupported/doc/examples/MatrixSquareRoot.cpp
new file mode 100644
index 000000000..88e7557d7
--- /dev/null
+++ b/unsupported/doc/examples/MatrixSquareRoot.cpp
@@ -0,0 +1,16 @@
+#include <unsupported/Eigen/MatrixFunctions>
+#include <iostream>
+
+using namespace Eigen;
+
+int main()
+{
+ const double pi = std::acos(-1.0);
+
+ MatrixXd A(2,2);
+ A << cos(pi/3), -sin(pi/3),
+ sin(pi/3), cos(pi/3);
+ std::cout << "The matrix A is:\n" << A << "\n\n";
+ std::cout << "The matrix square root of A is:\n" << A.sqrt() << "\n\n";
+ std::cout << "The square of the last matrix is:\n" << A.sqrt() * A.sqrt() << "\n";
+}