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-rw-r--r--unsupported/test/sparse_llt.cpp18
1 files changed, 17 insertions, 1 deletions
diff --git a/unsupported/test/sparse_llt.cpp b/unsupported/test/sparse_llt.cpp
index 2ec850ea0..21bd36d35 100644
--- a/unsupported/test/sparse_llt.cpp
+++ b/unsupported/test/sparse_llt.cpp
@@ -56,6 +56,7 @@ template<typename Scalar> void sparse_llt(int rows, int cols)
}
#ifdef EIGEN_CHOLMOD_SUPPORT
+ // legacy API
{
// Cholmod, as configured in CholmodSupport.h, only supports self-adjoint matrices
SparseMatrix<Scalar> m3 = m2.adjoint()*m2;
@@ -65,9 +66,24 @@ template<typename Scalar> void sparse_llt(int rows, int cols)
x = b;
SparseLLT<SparseMatrix<Scalar>, Cholmod>(m3).solveInPlace(x);
- VERIFY((m3*x).isApprox(b,test_precision<Scalar>()) && "LLT: cholmod solveInPlace");
+ VERIFY((m3*x).isApprox(b,test_precision<Scalar>()) && "LLT legacy: cholmod solveInPlace");
x = SparseLLT<SparseMatrix<Scalar>, Cholmod>(m3).solve(b);
+ VERIFY(refX.isApprox(x,test_precision<Scalar>()) && "LLT legacy: cholmod solve");
+ }
+
+ // new API
+ {
+ // Cholmod, as configured in CholmodSupport.h, only supports self-adjoint matrices
+ SparseMatrix<Scalar> m3 = m2.adjoint()*m2;
+ DenseMatrix refMat3 = refMat2.adjoint()*refMat2;
+
+ refX = refMat3.template selfadjointView<Lower>().llt().solve(b);
+
+ x = CholmodDecomposition<SparseMatrix<Scalar>, Lower>(m3).solve(b);
+ VERIFY(refX.isApprox(x,test_precision<Scalar>()) && "LLT: cholmod solve");
+
+ x = CholmodDecomposition<SparseMatrix<Scalar>, Upper>(m3).solve(b);
VERIFY(refX.isApprox(x,test_precision<Scalar>()) && "LLT: cholmod solve");
}
#endif