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Incomplete Cholesky preconditioner... not yet stable
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@@ -10,8 +10,56 @@
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#ifndef EIGEN_INCOMPLETE_LUT_H
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#define EIGEN_INCOMPLETE_LUT_H
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namespace Eigen {
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namespace internal {
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/**
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* Compute a quick-sort split of a vector
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* On output, the vector row is permuted such that its elements satisfy
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* abs(row(i)) >= abs(row(ncut)) if i<ncut
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* abs(row(i)) <= abs(row(ncut)) if i>ncut
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* \param row The vector of values
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* \param ind The array of index for the elements in @p row
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* \param ncut The number of largest elements to keep
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**/
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template <typename VectorV, typename VectorI>
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int QuickSplit(VectorV &row, VectorI &ind, int ncut)
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{
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typedef typename VectorV::RealScalar RealScalar;
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using std::swap;
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int mid;
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int n = row.size(); /* length of the vector */
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int first, last ;
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ncut--; /* to fit the zero-based indices */
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first = 0;
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last = n-1;
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if (ncut < first || ncut > last ) return 0;
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do {
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mid = first;
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RealScalar abskey = std::abs(row(mid));
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for (int j = first + 1; j <= last; j++) {
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if ( std::abs(row(j)) > abskey) {
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++mid;
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swap(row(mid), row(j));
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swap(ind(mid), ind(j));
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}
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}
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/* Interchange for the pivot element */
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swap(row(mid), row(first));
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swap(ind(mid), ind(first));
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if (mid > ncut) last = mid - 1;
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else if (mid < ncut ) first = mid + 1;
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} while (mid != ncut );
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return 0; /* mid is equal to ncut */
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}
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}// end namespace internal
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/**
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* \brief Incomplete LU factorization with dual-threshold strategy
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* During the numerical factorization, two dropping rules are used :
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@@ -126,10 +174,6 @@ class IncompleteLUT : internal::noncopyable
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protected:
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template <typename VectorV, typename VectorI>
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int QuickSplit(VectorV &row, VectorI &ind, int ncut);
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/** keeps off-diagonal entries; drops diagonal entries */
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struct keep_diag {
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inline bool operator() (const Index& row, const Index& col, const Scalar&) const
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@@ -171,51 +215,6 @@ void IncompleteLUT<Scalar>::setFillfactor(int fillfactor)
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this->m_fillfactor = fillfactor;
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}
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/**
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* Compute a quick-sort split of a vector
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* On output, the vector row is permuted such that its elements satisfy
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* abs(row(i)) >= abs(row(ncut)) if i<ncut
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* abs(row(i)) <= abs(row(ncut)) if i>ncut
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* \param row The vector of values
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* \param ind The array of index for the elements in @p row
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* \param ncut The number of largest elements to keep
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**/
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template <typename Scalar>
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template <typename VectorV, typename VectorI>
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int IncompleteLUT<Scalar>::QuickSplit(VectorV &row, VectorI &ind, int ncut)
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{
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using std::swap;
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int mid;
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int n = row.size(); /* length of the vector */
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int first, last ;
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ncut--; /* to fit the zero-based indices */
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first = 0;
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last = n-1;
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if (ncut < first || ncut > last ) return 0;
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do {
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mid = first;
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RealScalar abskey = std::abs(row(mid));
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for (int j = first + 1; j <= last; j++) {
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if ( std::abs(row(j)) > abskey) {
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++mid;
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swap(row(mid), row(j));
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swap(ind(mid), ind(j));
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}
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}
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/* Interchange for the pivot element */
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swap(row(mid), row(first));
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swap(ind(mid), ind(first));
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if (mid > ncut) last = mid - 1;
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else if (mid < ncut ) first = mid + 1;
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} while (mid != ncut );
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return 0; /* mid is equal to ncut */
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}
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template <typename Scalar>
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template<typename _MatrixType>
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void IncompleteLUT<Scalar>::analyzePattern(const _MatrixType& amat)
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@@ -400,7 +399,7 @@ void IncompleteLUT<Scalar>::factorize(const _MatrixType& amat)
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len = (std::min)(sizel, nnzL);
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typename Vector::SegmentReturnType ul(u.segment(0, sizel));
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typename VectorXi::SegmentReturnType jul(ju.segment(0, sizel));
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QuickSplit(ul, jul, len);
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internal::QuickSplit(ul, jul, len);
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// store the largest m_fill elements of the L part
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m_lu.startVec(ii);
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@@ -429,7 +428,7 @@ void IncompleteLUT<Scalar>::factorize(const _MatrixType& amat)
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len = (std::min)(sizeu, nnzU);
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typename Vector::SegmentReturnType uu(u.segment(ii+1, sizeu-1));
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typename VectorXi::SegmentReturnType juu(ju.segment(ii+1, sizeu-1));
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QuickSplit(uu, juu, len);
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internal::QuickSplit(uu, juu, len);
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// store the largest elements of the U part
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for(int k = ii + 1; k < ii + len; k++)
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