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authorGravatar Gael Guennebaud <g.gael@free.fr>2016-01-22 16:05:29 +0100
committerGravatar Gael Guennebaud <g.gael@free.fr>2016-01-22 16:05:29 +0100
commit5358c3858963e03581640e58ea1f3adbdd03b831 (patch)
tree3a01c377abf9ae2a9911ea9cf87d2002cf96993d /Eigen/src/CholmodSupport
parent6a44ccb58b81771cc8438af20e5bf44de3d8c932 (diff)
bug #1095: add Cholmod*::logDeterminant/determinant (from patch of Joshua Pritikin)
Diffstat (limited to 'Eigen/src/CholmodSupport')
-rw-r--r--Eigen/src/CholmodSupport/CholmodSupport.h53
1 files changed, 52 insertions, 1 deletions
diff --git a/Eigen/src/CholmodSupport/CholmodSupport.h b/Eigen/src/CholmodSupport/CholmodSupport.h
index 2da962471..c7c521b95 100644
--- a/Eigen/src/CholmodSupport/CholmodSupport.h
+++ b/Eigen/src/CholmodSupport/CholmodSupport.h
@@ -78,7 +78,7 @@ cholmod_sparse viewAsCholmod(SparseMatrix<_Scalar,_Options,_StorageIndex>& mat)
{
res.itype = CHOLMOD_INT;
}
- else if (internal::is_same<_StorageIndex,SuiteSparse_long>::value)
+ else if (internal::is_same<_StorageIndex,long>::value)
{
res.itype = CHOLMOD_LONG;
}
@@ -327,6 +327,57 @@ class CholmodBase : public SparseSolverBase<Derived>
return derived();
}
+ /** \returns the determinant of the underlying matrix from the current factorization */
+ Scalar determinant() const
+ {
+ using std::exp;
+ return exp(logDeterminant());
+ }
+
+ /** \returns the log determinant of the underlying matrix from the current factorization */
+ Scalar logDeterminant() const
+ {
+ using std::log;
+ using numext::real;
+ eigen_assert(m_factorizationIsOk && "The decomposition is not in a valid state for solving, you must first call either compute() or symbolic()/numeric()");
+
+ RealScalar logDet = 0;
+ Scalar *x = static_cast<Scalar*>(m_cholmodFactor->x);
+ if (m_cholmodFactor->is_super)
+ {
+ // Supernodal factorization stored as a packed list of dense column-major blocs,
+ // as described by the following structure:
+
+ // super[k] == index of the first column of the j-th super node
+ StorageIndex *super = static_cast<StorageIndex*>(m_cholmodFactor->super);
+ // pi[k] == offset to the description of row indices
+ StorageIndex *pi = static_cast<StorageIndex*>(m_cholmodFactor->pi);
+ // px[k] == offset to the respective dense block
+ StorageIndex *px = static_cast<StorageIndex*>(m_cholmodFactor->px);
+
+ Index nb_super_nodes = m_cholmodFactor->nsuper;
+ for (Index k=0; k < nb_super_nodes; ++k)
+ {
+ StorageIndex ncols = super[k + 1] - super[k];
+ StorageIndex nrows = pi[k + 1] - pi[k];
+
+ Map<const Array<Scalar,1,Dynamic>, 0, InnerStride<> > sk(x + px[k], ncols, InnerStride<>(nrows+1));
+ logDet += sk.real().log().sum();
+ }
+ }
+ else
+ {
+ // Simplicial factorization stored as standard CSC matrix.
+ StorageIndex *p = static_cast<StorageIndex*>(m_cholmodFactor->p);
+ Index size = m_cholmodFactor->n;
+ for (Index k=0; k<size; ++k)
+ logDet += log(real( x[p[k]] ));
+ }
+ if (m_cholmodFactor->is_ll)
+ logDet *= 2.0;
+ return logDet;
+ };
+
template<typename Stream>
void dumpMemory(Stream& /*s*/)
{}