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-rw-r--r--test/sparse.cpp83
1 files changed, 65 insertions, 18 deletions
diff --git a/test/sparse.cpp b/test/sparse.cpp
index 7decb4111..3095297ce 100644
--- a/test/sparse.cpp
+++ b/test/sparse.cpp
@@ -25,36 +25,63 @@
#include "main.h"
#include <Eigen/Sparse>
-template<typename Scalar> void sparse(int rows, int cols)
-{
- double density = std::max(8./(rows*cols), 0.01);
- typedef Matrix<Scalar,Dynamic,Dynamic> DenseMatrix;
- Scalar eps = 1e-6;
-
- SparseMatrix<Scalar> m(rows, cols);
- DenseMatrix refMat = DenseMatrix::Zero(rows, cols);
+enum {
+ ForceNonZeroDiag = 1,
+ MakeLowerTriangular = 2,
+ MakeUpperTriangular = 4
+};
- std::vector<Vector2i> zeroCoords;
- std::vector<Vector2i> nonzeroCoords;
- m.startFill(rows*cols*density);
- for(int j=0; j<cols; j++)
+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(refMat.rows()*refMat.cols()*density);
+ for(int j=0; j<refMat.cols(); j++)
{
- for(int i=0; i<rows; i++)
+ for(int i=0; i<refMat.rows(); i++)
{
Scalar v = (ei_random<Scalar>(0,1) < density) ? ei_random<Scalar>() : 0;
+ if ((flags&ForceNonZeroDiag) && (i==j))
+ while (ei_abs(v)<1e-2)
+ v = ei_random<Scalar>();
+ if ((flags & MakeLowerTriangular) && j>i)
+ v = 0;
+ else if ((flags & MakeUpperTriangular) && j<i)
+ v = 0;
if (v!=0)
{
- m.fill(i,j) = v;
- nonzeroCoords.push_back(Vector2i(i,j));
+ sparseMat.fill(i,j) = v;
+ if (nonzeroCoords)
+ nonzeroCoords->push_back(Vector2i(i,j));
}
- else
+ else if (zeroCoords)
{
- zeroCoords.push_back(Vector2i(i,j));
+ zeroCoords->push_back(Vector2i(i,j));
}
refMat(i,j) = v;
}
}
- m.endFill();
+ sparseMat.endFill();
+}
+
+template<typename Scalar> void sparse(int rows, int cols)
+{
+ double density = std::max(8./(rows*cols), 0.01);
+ typedef Matrix<Scalar,Dynamic,Dynamic> DenseMatrix;
+ typedef Matrix<Scalar,Dynamic,1> DenseVector;
+ Scalar eps = 1e-6;
+
+ SparseMatrix<Scalar> m(rows, cols);
+ DenseMatrix refMat = DenseMatrix::Zero(rows, cols);
+ DenseVector vec1 = DenseVector::Random(rows);
+
+ std::vector<Vector2i> zeroCoords;
+ std::vector<Vector2i> nonzeroCoords;
+ initSparse<Scalar>(density, refMat, m, 0, &zeroCoords, &nonzeroCoords);
VERIFY(zeroCoords.size()>0 && "re-run the test");
VERIFY(nonzeroCoords.size()>0 && "re-run the test");
@@ -145,10 +172,30 @@ template<typename Scalar> void sparse(int rows, int cols)
}
VERIFY_IS_APPROX(m, refMat);
+ // test triangular solver
+ {
+ DenseVector vec2 = vec1, vec3 = vec1;
+ SparseMatrix<Scalar> m2(rows, cols);
+ DenseMatrix refMat2 = DenseMatrix::Zero(rows, cols);
+
+ // lower
+ initSparse<Scalar>(density, refMat2, m2, ForceNonZeroDiag|MakeLowerTriangular, &zeroCoords, &nonzeroCoords);
+ VERIFY_IS_APPROX(refMat2.template marked<Lower>().solveTriangular(vec2),
+ m2.template marked<Lower>().solveTriangular(vec3));
+
+ // upper
+ initSparse<Scalar>(density, refMat2, m2, ForceNonZeroDiag|MakeUpperTriangular, &zeroCoords, &nonzeroCoords);
+ VERIFY_IS_APPROX(refMat2.template marked<Upper>().solveTriangular(vec2),
+ m2.template marked<Upper>().solveTriangular(vec3));
+
+ // TODO test row major
+ }
+
}
void test_sparse()
{
sparse<double>(8, 8);
sparse<double>(16, 16);
+ sparse<double>(33, 33);
}