Squashed 'third_party/eigen/' content from commit 61d72f6
Change-Id: Iccc90fa0b55ab44037f018046d2fcffd90d9d025
git-subtree-dir: third_party/eigen
git-subtree-split: 61d72f6383cfa842868c53e30e087b0258177257
diff --git a/test/eigen2/sparse.h b/test/eigen2/sparse.h
new file mode 100644
index 0000000..e12f899
--- /dev/null
+++ b/test/eigen2/sparse.h
@@ -0,0 +1,154 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra. Eigen itself is part of the KDE project.
+//
+// Copyright (C) 2008 Daniel Gomez Ferro <dgomezferro@gmail.com>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_TESTSPARSE_H
+
+#include "main.h"
+
+#if EIGEN_GNUC_AT_LEAST(4,0) && !defined __ICC
+#include <tr1/unordered_map>
+#define EIGEN_UNORDERED_MAP_SUPPORT
+namespace std {
+ using std::tr1::unordered_map;
+}
+#endif
+
+#ifdef EIGEN_GOOGLEHASH_SUPPORT
+ #include <google/sparse_hash_map>
+#endif
+
+#include <Eigen/Cholesky>
+#include <Eigen/LU>
+#include <Eigen/Sparse>
+
+enum {
+ ForceNonZeroDiag = 1,
+ MakeLowerTriangular = 2,
+ MakeUpperTriangular = 4,
+ ForceRealDiag = 8
+};
+
+/* Initializes both a sparse and dense matrix with same random values,
+ * and a ratio of \a density non zero entries.
+ * \param flags is a union of ForceNonZeroDiag, MakeLowerTriangular and MakeUpperTriangular
+ * allowing to control the shape of the matrix.
+ * \param zeroCoords and nonzeroCoords allows to get the coordinate lists of the non zero,
+ * and zero coefficients respectively.
+ */
+template<typename Scalar> void
+initSparse(double density,
+ Matrix<Scalar,Dynamic,Dynamic>& refMat,
+ SparseMatrix<Scalar>& sparseMat,
+ int flags = 0,
+ std::vector<Vector2i>* zeroCoords = 0,
+ std::vector<Vector2i>* nonzeroCoords = 0)
+{
+ sparseMat.startFill(int(refMat.rows()*refMat.cols()*density));
+ for(int j=0; j<refMat.cols(); j++)
+ {
+ for(int i=0; i<refMat.rows(); i++)
+ {
+ Scalar v = (ei_random<double>(0,1) < density) ? ei_random<Scalar>() : Scalar(0);
+ if ((flags&ForceNonZeroDiag) && (i==j))
+ {
+ v = ei_random<Scalar>()*Scalar(3.);
+ v = v*v + Scalar(5.);
+ }
+ if ((flags & MakeLowerTriangular) && j>i)
+ v = Scalar(0);
+ else if ((flags & MakeUpperTriangular) && j<i)
+ v = Scalar(0);
+
+ if ((flags&ForceRealDiag) && (i==j))
+ v = ei_real(v);
+
+ if (v!=Scalar(0))
+ {
+ sparseMat.fill(i,j) = v;
+ if (nonzeroCoords)
+ nonzeroCoords->push_back(Vector2i(i,j));
+ }
+ else if (zeroCoords)
+ {
+ zeroCoords->push_back(Vector2i(i,j));
+ }
+ refMat(i,j) = v;
+ }
+ }
+ sparseMat.endFill();
+}
+
+template<typename Scalar> void
+initSparse(double density,
+ Matrix<Scalar,Dynamic,Dynamic>& refMat,
+ DynamicSparseMatrix<Scalar>& sparseMat,
+ int flags = 0,
+ std::vector<Vector2i>* zeroCoords = 0,
+ std::vector<Vector2i>* nonzeroCoords = 0)
+{
+ sparseMat.startFill(int(refMat.rows()*refMat.cols()*density));
+ for(int j=0; j<refMat.cols(); j++)
+ {
+ for(int i=0; i<refMat.rows(); i++)
+ {
+ Scalar v = (ei_random<double>(0,1) < density) ? ei_random<Scalar>() : Scalar(0);
+ if ((flags&ForceNonZeroDiag) && (i==j))
+ {
+ v = ei_random<Scalar>()*Scalar(3.);
+ v = v*v + Scalar(5.);
+ }
+ if ((flags & MakeLowerTriangular) && j>i)
+ v = Scalar(0);
+ else if ((flags & MakeUpperTriangular) && j<i)
+ v = Scalar(0);
+
+ if ((flags&ForceRealDiag) && (i==j))
+ v = ei_real(v);
+
+ if (v!=Scalar(0))
+ {
+ sparseMat.fill(i,j) = v;
+ if (nonzeroCoords)
+ nonzeroCoords->push_back(Vector2i(i,j));
+ }
+ else if (zeroCoords)
+ {
+ zeroCoords->push_back(Vector2i(i,j));
+ }
+ refMat(i,j) = v;
+ }
+ }
+ sparseMat.endFill();
+}
+
+template<typename Scalar> void
+initSparse(double density,
+ Matrix<Scalar,Dynamic,1>& refVec,
+ SparseVector<Scalar>& sparseVec,
+ std::vector<int>* zeroCoords = 0,
+ std::vector<int>* nonzeroCoords = 0)
+{
+ sparseVec.reserve(int(refVec.size()*density));
+ sparseVec.setZero();
+ for(int i=0; i<refVec.size(); i++)
+ {
+ Scalar v = (ei_random<double>(0,1) < density) ? ei_random<Scalar>() : Scalar(0);
+ if (v!=Scalar(0))
+ {
+ sparseVec.fill(i) = v;
+ if (nonzeroCoords)
+ nonzeroCoords->push_back(i);
+ }
+ else if (zeroCoords)
+ zeroCoords->push_back(i);
+ refVec[i] = v;
+ }
+}
+
+#endif // EIGEN_TESTSPARSE_H