aboutsummaryrefslogtreecommitdiffhomepage
path: root/unsupported/Eigen
diff options
context:
space:
mode:
authorGravatar Gael Guennebaud <g.gael@free.fr>2011-06-22 14:39:11 +0200
committerGravatar Gael Guennebaud <g.gael@free.fr>2011-06-22 14:39:11 +0200
commit3ecf7e8f6ea95e1dbf9c65ff6b44fd543fcd0de7 (patch)
tree70e40248fd0465413d73eb98700c21a4f7300993 /unsupported/Eigen
parent7aabce7c769adc0ad02e45e7ffe7590c5d1412d1 (diff)
add a KroneckerProduct module (unsupported) from Kolja Brix and Andreas Platen materials.
Diffstat (limited to 'unsupported/Eigen')
-rw-r--r--unsupported/Eigen/CMakeLists.txt2
-rw-r--r--unsupported/Eigen/KroneckerProduct26
-rw-r--r--unsupported/Eigen/src/CMakeLists.txt1
-rw-r--r--unsupported/Eigen/src/KroneckerProduct/CMakeLists.txt6
-rw-r--r--unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h168
5 files changed, 202 insertions, 1 deletions
diff --git a/unsupported/Eigen/CMakeLists.txt b/unsupported/Eigen/CMakeLists.txt
index 219ec8ead..1618525d5 100644
--- a/unsupported/Eigen/CMakeLists.txt
+++ b/unsupported/Eigen/CMakeLists.txt
@@ -1,6 +1,6 @@
set(Eigen_HEADERS AdolcForward BVH IterativeSolvers MatrixFunctions MoreVectorization AutoDiff AlignedVector3 Polynomials
CholmodSupport FFT NonLinearOptimization SparseExtra SuperLUSupport UmfPackSupport IterativeSolvers
- NumericalDiff Skyline MPRealSupport OpenGLSupport
+ NumericalDiff Skyline MPRealSupport OpenGLSupport KroneckerProduct
)
install(FILES
diff --git a/unsupported/Eigen/KroneckerProduct b/unsupported/Eigen/KroneckerProduct
new file mode 100644
index 000000000..291c7fabc
--- /dev/null
+++ b/unsupported/Eigen/KroneckerProduct
@@ -0,0 +1,26 @@
+#ifndef EIGEN_KRONECKER_PRODUCT_MODULE_H
+#define EIGEN_KRONECKER_PRODUCT_MODULE_H
+
+#include "../../Eigen/Core"
+
+#include "../../Eigen/src/Core/util/DisableStupidWarnings.h"
+
+namespace Eigen {
+
+/** \ingroup Unsupported_modules
+ * \defgroup KroneckerProduct_Module KroneckerProduct module
+ *
+ * This module contains an experimental Kronecker product implementation.
+ *
+ * \code
+ * #include <Eigen/KroneckerProduct>
+ * \endcode
+ */
+
+#include "src/KroneckerProduct/KroneckerTensorProduct.h"
+
+} // namespace Eigen
+
+#include "../../Eigen/src/Core/util/ReenableStupidWarnings.h"
+
+#endif // EIGEN_KRONECKER_PRODUCT_MODULE_H
diff --git a/unsupported/Eigen/src/CMakeLists.txt b/unsupported/Eigen/src/CMakeLists.txt
index cd442cefa..6fd98b310 100644
--- a/unsupported/Eigen/src/CMakeLists.txt
+++ b/unsupported/Eigen/src/CMakeLists.txt
@@ -9,3 +9,4 @@ ADD_SUBDIRECTORY(NumericalDiff)
ADD_SUBDIRECTORY(Polynomials)
ADD_SUBDIRECTORY(Skyline)
ADD_SUBDIRECTORY(SparseExtra)
+ADD_SUBDIRECTORY(KroneckerProduct) \ No newline at end of file
diff --git a/unsupported/Eigen/src/KroneckerProduct/CMakeLists.txt b/unsupported/Eigen/src/KroneckerProduct/CMakeLists.txt
new file mode 100644
index 000000000..4daefebee
--- /dev/null
+++ b/unsupported/Eigen/src/KroneckerProduct/CMakeLists.txt
@@ -0,0 +1,6 @@
+FILE(GLOB Eigen_KroneckerProduct_SRCS "*.h")
+
+INSTALL(FILES
+ ${Eigen_KroneckerProduct_SRCS}
+ DESTINATION ${INCLUDE_INSTALL_DIR}/unsupported/Eigen/src/KroneckerProduct COMPONENT Devel
+ )
diff --git a/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h b/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h
new file mode 100644
index 000000000..cc5f271f0
--- /dev/null
+++ b/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h
@@ -0,0 +1,168 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2011 Kolja Brix <brix@igpm.rwth-aachen.de>
+// Copyright (C) 2011 Andreas Platen <andiplaten@gmx.de>
+//
+// Eigen is free software; you can redistribute it and/or
+// modify it under the terms of the GNU Lesser General Public
+// License as published by the Free Software Foundation; either
+// version 3 of the License, or (at your option) any later version.
+//
+// Alternatively, you can redistribute it and/or
+// modify it under the terms of the GNU General Public License as
+// published by the Free Software Foundation; either version 2 of
+// the License, or (at your option) any later version.
+//
+// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
+// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
+// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
+// GNU General Public License for more details.
+//
+// You should have received a copy of the GNU Lesser General Public
+// License and a copy of the GNU General Public License along with
+// Eigen. If not, see <http://www.gnu.org/licenses/>.
+
+
+#ifndef KRONECKER_TENSOR_PRODUCT_H
+#define KRONECKER_TENSOR_PRODUCT_H
+
+
+namespace internal {
+
+/*!
+ * Kronecker tensor product helper function for dense matrices
+ *
+ * \param A Dense matrix A
+ * \param B Dense matrix B
+ * \param AB_ Kronecker tensor product of A and B
+ */
+template<typename Derived_A, typename Derived_B, typename Derived_AB>
+void kroneckerProduct_full(const Derived_A& A, const Derived_B& B, Derived_AB & AB)
+{
+ const unsigned int Ar = A.rows(),
+ Ac = A.cols(),
+ Br = B.rows(),
+ Bc = B.cols();
+ for (unsigned int i=0; i<Ar; ++i)
+ for (unsigned int j=0; j<Ac; ++j)
+ AB.block(i*Br,j*Bc,Br,Bc) = A(i,j)*B;
+}
+
+
+/*!
+ * Kronecker tensor product helper function for matrices, where at least one is sparse
+ *
+ * \param A Matrix A
+ * \param B Matrix B
+ * \param AB_ Kronecker tensor product of A and B
+ */
+template<typename Derived_A, typename Derived_B, typename Derived_AB>
+void kroneckerProduct_sparse(const Derived_A &A, const Derived_B &B, Derived_AB &AB)
+{
+ const unsigned int Ar = A.rows(),
+ Ac = A.cols(),
+ Br = B.rows(),
+ Bc = B.cols();
+ AB.resize(Ar*Br,Ac*Bc);
+ AB.resizeNonZeros(0);
+ AB.reserve(A.nonZeros()*B.nonZeros());
+
+ for (int kA=0; kA<A.outerSize(); ++kA)
+ {
+ for (int kB=0; kB<B.outerSize(); ++kB)
+ {
+ for (typename Derived_A::InnerIterator itA(A,kA); itA; ++itA)
+ {
+ for (typename Derived_B::InnerIterator itB(B,kB); itB; ++itB)
+ {
+ const unsigned int iA = itA.row(),
+ jA = itA.col(),
+ iB = itB.row(),
+ jB = itB.col(),
+ i = iA*Br + iB,
+ j = jA*Bc + jB;
+ AB.insert(i,j) = itA.value() * itB.value();
+ }
+ }
+ }
+ }
+}
+
+} // end namespace internal
+
+
+
+/*!
+ * Computes Kronecker tensor product of two dense matrices
+ *
+ * \param a Dense matrix a
+ * \param b Dense matrix b
+ * \param c Kronecker tensor product of a and b
+ */
+template<typename A,typename B,typename CScalar,int CRows,int CCols, int COptions, int CMaxRows, int CMaxCols>
+void kroneckerProduct(const MatrixBase<A>& a, const MatrixBase<B>& b, Matrix<CScalar,CRows,CCols,COptions,CMaxRows,CMaxCols>& c)
+{
+ c.resize(a.rows()*b.rows(),a.cols()*b.cols());
+ internal::kroneckerProduct_full(a.derived(), b.derived(), c);
+}
+
+/*!
+ * Computes Kronecker tensor product of two dense matrices
+ *
+ * Remark: this function uses the const cast hack and has been
+ * implemented to make the function call possible, where the
+ * output matrix is a submatrix, e.g.
+ * kroneckerProduct(A,B,AB.block(2,5,6,6));
+ *
+ * \param a Dense matrix a
+ * \param b Dense matrix b
+ * \param c Kronecker tensor product of a and b
+ */
+template<typename A,typename B,typename C>
+void kroneckerProduct(const MatrixBase<A>& a, const MatrixBase<B>& b, MatrixBase<C> const & c_)
+{
+ MatrixBase<C>& c = const_cast<MatrixBase<C>& >(c_);
+ internal::kroneckerProduct_full(a.derived(), b.derived(), c.derived());
+}
+
+/*!
+ * Computes Kronecker tensor product of a dense and a sparse matrix
+ *
+ * \param a Dense matrix a
+ * \param b Sparse matrix b
+ * \param c Kronecker tensor product of a and b
+ */
+template<typename A,typename B,typename C>
+void kroneckerProduct(const MatrixBase<A>& a, const SparseMatrixBase<B>& b, SparseMatrixBase<C>& c)
+{
+ internal::kroneckerProduct_sparse(a.derived(), b.derived(), c.derived());
+}
+
+/*!
+ * Computes Kronecker tensor product of a sparse and a dense matrix
+ *
+ * \param a Sparse matrix a
+ * \param b Dense matrix b
+ * \param c Kronecker tensor product of a and b
+ */
+template<typename A,typename B,typename C>
+void kroneckerProduct(const SparseMatrixBase<A>& a, const MatrixBase<B>& b, SparseMatrixBase<C>& c)
+{
+ internal::kroneckerProduct_sparse(a.derived(), b.derived(), c.derived());
+}
+
+/*!
+ * Computes Kronecker tensor product of two sparse matrices
+ *
+ * \param a Sparse matrix a
+ * \param b Sparse matrix b
+ * \param c Kronecker tensor product of a and b
+ */
+template<typename A,typename B,typename C>
+void kroneckerProduct(const SparseMatrixBase<A>& a, const SparseMatrixBase<B>& b, SparseMatrixBase<C>& c)
+{
+ internal::kroneckerProduct_sparse(a.derived(), b.derived(), c.derived());
+}
+
+#endif // KRONECKER_TENSOR_PRODUCT_H