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MueLu
Version of the Day
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MueLu
Version of the Day
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#include <MueLu_UtilitiesBase_fwd.hpp>
Public Types | |
| typedef Teuchos::ScalarTraits < Scalar >::magnitudeType | Magnitude |
Static Public Member Functions | |
| static RCP< Matrix > | Crs2Op (RCP< CrsMatrix > Op) |
| static RCP< CrsMatrixWrap > | GetThresholdedMatrix (const RCP< Matrix > &Ain, const Scalar threshold, const bool keepDiagonal=true, const GlobalOrdinal expectedNNZperRow=-1) |
| Threshold a matrix. More... | |
| static RCP< Xpetra::CrsGraph < LocalOrdinal, GlobalOrdinal, Node > > | GetThresholdedGraph (const RCP< Matrix > &A, const Magnitude threshold, const GlobalOrdinal expectedNNZperRow=-1) |
| Threshold a graph. More... | |
| static Teuchos::ArrayRCP< Scalar > | GetMatrixDiagonal_arcp (const Matrix &A) |
| Extract Matrix Diagonal. More... | |
| static RCP< Vector > | GetMatrixDiagonal (const Matrix &A) |
| Extract Matrix Diagonal. More... | |
| static RCP< Vector > | GetMatrixDiagonalInverse (const Matrix &A, Magnitude tol=Teuchos::ScalarTraits< Scalar >::eps()*100, Scalar valReplacement=Teuchos::ScalarTraits< Scalar >::zero(), const bool doLumped=false) |
| Extract Matrix Diagonal. More... | |
| static Teuchos::RCP< Vector > | GetLumpedMatrixDiagonal (Matrix const &A, const bool doReciprocal=false, Magnitude tol=Teuchos::ScalarTraits< Scalar >::magnitude(Teuchos::ScalarTraits< Scalar >::zero()), Scalar valReplacement=Teuchos::ScalarTraits< Scalar >::zero(), const bool replaceSingleEntryRowWithZero=false, const bool useAverageAbsDiagVal=false) |
| Extract Matrix Diagonal of lumped matrix. More... | |
| static Teuchos::ArrayRCP < Magnitude > | GetMatrixMaxMinusOffDiagonal (const Xpetra::Matrix< Scalar, LocalOrdinal, GlobalOrdinal, Node > &A) |
| Return vector containing: max_{i=k}(-a_ik), for each for i in the matrix. More... | |
| static Teuchos::ArrayRCP < Magnitude > | GetMatrixMaxMinusOffDiagonal (const Xpetra::Matrix< Scalar, LocalOrdinal, GlobalOrdinal, Node > &A, const Xpetra::Vector< LocalOrdinal, LocalOrdinal, GlobalOrdinal, Node > &BlockNumber) |
| static Teuchos::RCP< Vector > | GetInverse (Teuchos::RCP< const Vector > v, Magnitude tol=Teuchos::ScalarTraits< Scalar >::eps()*100, Scalar valReplacement=Teuchos::ScalarTraits< Scalar >::zero()) |
| Return vector containing inverse of input vector. More... | |
| static RCP< Vector > | GetMatrixOverlappedDiagonal (const Matrix &A) |
| Extract Overlapped Matrix Diagonal. More... | |
| static RCP< Vector > | GetMatrixOverlappedDeletedRowsum (const Matrix &A) |
| Extract Overlapped Matrix Deleted Rowsum. More... | |
| static RCP< Xpetra::Vector < Magnitude, LocalOrdinal, GlobalOrdinal, Node > > | GetMatrixOverlappedAbsDeletedRowsum (const Matrix &A) |
| static Teuchos::Array< Magnitude > | ResidualNorm (const Xpetra::Operator< Scalar, LocalOrdinal, GlobalOrdinal, Node > &Op, const MultiVector &X, const MultiVector &RHS) |
| static Teuchos::Array< Magnitude > | ResidualNorm (const Xpetra::Operator< Scalar, LocalOrdinal, GlobalOrdinal, Node > &Op, const MultiVector &X, const MultiVector &RHS, MultiVector &Resid) |
| static RCP< MultiVector > | Residual (const Xpetra::Operator< Scalar, LocalOrdinal, GlobalOrdinal, Node > &Op, const MultiVector &X, const MultiVector &RHS) |
| static void | Residual (const Xpetra::Operator< Scalar, LocalOrdinal, GlobalOrdinal, Node > &Op, const MultiVector &X, const MultiVector &RHS, MultiVector &Resid) |
| static Scalar | PowerMethod (const Matrix &A, bool scaleByDiag=true, LocalOrdinal niters=10, Magnitude tolerance=1e-2, bool verbose=false, unsigned int seed=123) |
| Power method. More... | |
| static Scalar | PowerMethod (const Matrix &A, const RCP< Vector > &diagInvVec, LocalOrdinal niters=10, Magnitude tolerance=1e-2, bool verbose=false, unsigned int seed=123) |
| Power method. More... | |
| static RCP< Teuchos::FancyOStream > | MakeFancy (std::ostream &os) |
| static Teuchos::ScalarTraits < Scalar >::magnitudeType | Distance2 (const Teuchos::Array< Teuchos::ArrayRCP< const Scalar >> &v, LocalOrdinal i0, LocalOrdinal i1) |
| Squared distance between two rows in a multivector. More... | |
| static Teuchos::ScalarTraits < Scalar >::magnitudeType | Distance2 (const Teuchos::ArrayView< double > &weight, const Teuchos::Array< Teuchos::ArrayRCP< const Scalar >> &v, LocalOrdinal i0, LocalOrdinal i1) |
| Weighted squared distance between two rows in a multivector. More... | |
| static Teuchos::ArrayRCP < const bool > | DetectDirichletRows (const Xpetra::Matrix< Scalar, LocalOrdinal, GlobalOrdinal, Node > &A, const Magnitude &tol=Teuchos::ScalarTraits< Magnitude >::zero(), bool count_twos_as_dirichlet=false) |
| Detect Dirichlet rows. More... | |
| static Kokkos::View< bool *, typename NO::device_type::memory_space > | DetectDirichletRows_kokkos (const Matrix &A, const Magnitude &tol=Teuchos::ScalarTraits< typename Teuchos::ScalarTraits< SC >::magnitudeType >::zero(), const bool count_twos_as_dirichlet=false) |
| Detect Dirichlet rows. More... | |
| static Kokkos::View< bool *, typename Kokkos::HostSpace > | DetectDirichletRows_kokkos_host (const Matrix &A, const Magnitude &tol=Teuchos::ScalarTraits< typename Teuchos::ScalarTraits< SC >::magnitudeType >::zero(), const bool count_twos_as_dirichlet=false) |
| static Teuchos::ArrayRCP < const bool > | DetectDirichletRowsExt (const Xpetra::Matrix< Scalar, LocalOrdinal, GlobalOrdinal, Node > &A, bool &bHasZeroDiagonal, const Magnitude &tol=Teuchos::ScalarTraits< Scalar >::zero()) |
| Detect Dirichlet rows (extended version) More... | |
| static void | FindNonZeros (const Teuchos::ArrayRCP< const Scalar > vals, Teuchos::ArrayRCP< bool > nonzeros) |
| Find non-zero values in an ArrayRCP Compares the value to 2 * machine epsilon. More... | |
| static void | FindNonZeros (const typename Xpetra::MultiVector< Scalar, LocalOrdinal, GlobalOrdinal, Node >::dual_view_type::t_dev_const_um vals, Kokkos::View< bool *, typename Node::device_type > nonzeros) |
| Find non-zero values in an ArrayRCP Compares the value to 2 * machine epsilon. More... | |
| static void | DetectDirichletColsAndDomains (const Xpetra::Matrix< Scalar, LocalOrdinal, GlobalOrdinal, Node > &A, const Teuchos::ArrayRCP< bool > &dirichletRows, Teuchos::ArrayRCP< bool > dirichletCols, Teuchos::ArrayRCP< bool > dirichletDomain) |
| Detects Dirichlet columns & domains from a list of Dirichlet rows. More... | |
| static void | DetectDirichletColsAndDomains (const Xpetra::Matrix< Scalar, LocalOrdinal, GlobalOrdinal, Node > &A, const Kokkos::View< bool *, typename Node::device_type > &dirichletRows, Kokkos::View< bool *, typename Node::device_type > dirichletCols, Kokkos::View< bool *, typename Node::device_type > dirichletDomain) |
| Detects Dirichlet columns & domains from a list of Dirichlet rows. More... | |
| static void | ApplyRowSumCriterion (const Xpetra::Matrix< Scalar, LocalOrdinal, GlobalOrdinal, Node > &A, const Magnitude rowSumTol, Teuchos::ArrayRCP< bool > &dirichletRows) |
| Apply Rowsum Criterion. More... | |
| static void | ApplyRowSumCriterion (const Xpetra::Matrix< Scalar, LocalOrdinal, GlobalOrdinal, Node > &A, const Xpetra::Vector< LocalOrdinal, LocalOrdinal, GlobalOrdinal, Node > &BlockNumber, const Magnitude rowSumTol, Teuchos::ArrayRCP< bool > &dirichletRows) |
| static void | ApplyRowSumCriterion (const Matrix &A, const typename Teuchos::ScalarTraits< Scalar >::magnitudeType rowSumTol, Kokkos::View< bool *, typename NO::device_type::memory_space > &dirichletRows) |
| static void | ApplyRowSumCriterionHost (const Matrix &A, const typename Teuchos::ScalarTraits< Scalar >::magnitudeType rowSumTol, Kokkos::View< bool *, Kokkos::HostSpace > &dirichletRows) |
| static void | ApplyRowSumCriterion (const Matrix &A, const Xpetra::Vector< LocalOrdinal, LocalOrdinal, GlobalOrdinal, Node > &BlockNumber, const typename Teuchos::ScalarTraits< Scalar >::magnitudeType rowSumTol, Kokkos::View< bool *, typename NO::device_type::memory_space > &dirichletRows) |
| static void | ApplyRowSumCriterionHost (const Matrix &A, const Xpetra::Vector< LocalOrdinal, LocalOrdinal, GlobalOrdinal, Node > &BlockNumber, const typename Teuchos::ScalarTraits< Scalar >::magnitudeType rowSumTol, Kokkos::View< bool *, Kokkos::HostSpace > &dirichletRows) |
| static Teuchos::ArrayRCP < const bool > | DetectDirichletCols (const Xpetra::Matrix< Scalar, LocalOrdinal, GlobalOrdinal, Node > &A, const Teuchos::ArrayRCP< const bool > &dirichletRows) |
| Detect Dirichlet columns based on Dirichlet rows. More... | |
| static Kokkos::View< bool *, typename NO::device_type > | DetectDirichletCols (const Matrix &A, const Kokkos::View< const bool *, typename NO::device_type > &dirichletRows) |
| Detect Dirichlet columns based on Dirichlet rows. More... | |
| static Scalar | Frobenius (const Xpetra::Matrix< Scalar, LocalOrdinal, GlobalOrdinal, Node > &A, const Xpetra::Matrix< Scalar, LocalOrdinal, GlobalOrdinal, Node > &B) |
| Frobenius inner product of two matrices. More... | |
| static void | SetRandomSeed (const Teuchos::Comm< int > &comm) |
| Set seed for random number generator. More... | |
| static void | FindDirichletRows (Teuchos::RCP< Xpetra::Matrix< Scalar, LocalOrdinal, GlobalOrdinal, Node >> &A, std::vector< LocalOrdinal > &dirichletRows, bool count_twos_as_dirichlet=false) |
| static void | ApplyOAZToMatrixRows (Teuchos::RCP< Xpetra::Matrix< Scalar, LocalOrdinal, GlobalOrdinal, Node >> &A, const std::vector< LocalOrdinal > &dirichletRows) |
| static void | ApplyOAZToMatrixRows (Teuchos::RCP< Xpetra::Matrix< Scalar, LocalOrdinal, GlobalOrdinal, Node >> &A, const Teuchos::ArrayRCP< const bool > &dirichletRows) |
| static void | ApplyOAZToMatrixRows (RCP< Matrix > &A, const Kokkos::View< const bool *, typename Node::device_type > &dirichletRows) |
| static void | ZeroDirichletRows (Teuchos::RCP< Xpetra::Matrix< Scalar, LocalOrdinal, GlobalOrdinal, Node >> &A, const std::vector< LocalOrdinal > &dirichletRows, Scalar replaceWith=Teuchos::ScalarTraits< Scalar >::zero()) |
| static void | ZeroDirichletRows (Teuchos::RCP< Xpetra::Matrix< Scalar, LocalOrdinal, GlobalOrdinal, Node >> &A, const Teuchos::ArrayRCP< const bool > &dirichletRows, Scalar replaceWith=Teuchos::ScalarTraits< Scalar >::zero()) |
| static void | ZeroDirichletRows (Teuchos::RCP< Xpetra::MultiVector< Scalar, LocalOrdinal, GlobalOrdinal, Node >> &X, const Teuchos::ArrayRCP< const bool > &dirichletRows, Scalar replaceWith=Teuchos::ScalarTraits< Scalar >::zero()) |
| static void | ZeroDirichletRows (RCP< Matrix > &A, const Kokkos::View< const bool *, typename NO::device_type > &dirichletRows, SC replaceWith=Teuchos::ScalarTraits< SC >::zero()) |
| static void | ZeroDirichletRows (RCP< MultiVector > &X, const Kokkos::View< const bool *, typename NO::device_type > &dirichletRows, SC replaceWith=Teuchos::ScalarTraits< SC >::zero()) |
| static void | ZeroDirichletCols (Teuchos::RCP< Matrix > &A, const Teuchos::ArrayRCP< const bool > &dirichletCols, Scalar replaceWith=Teuchos::ScalarTraits< Scalar >::zero()) |
| static void | ZeroDirichletCols (RCP< Matrix > &A, const Kokkos::View< const bool *, typename NO::device_type > &dirichletCols, SC replaceWith=Teuchos::ScalarTraits< SC >::zero()) |
| static void | FindDirichletRowsAndPropagateToCols (Teuchos::RCP< Xpetra::Matrix< Scalar, LocalOrdinal, GlobalOrdinal, Node >> &A, Teuchos::RCP< Xpetra::Vector< int, LocalOrdinal, GlobalOrdinal, Node >> &isDirichletRow, Teuchos::RCP< Xpetra::Vector< int, LocalOrdinal, GlobalOrdinal, Node >> &isDirichletCol) |
| static RCP< Xpetra::Matrix < Scalar, LocalOrdinal, GlobalOrdinal, Node > > | ReplaceNonZerosWithOnes (const RCP< Matrix > &original) |
| Creates a copy of a matrix where the non-zero entries are replaced by ones. More... | |
| static RCP< const Xpetra::BlockedMap < LocalOrdinal, GlobalOrdinal, Node > > | GeneratedBlockedTargetMap (const Xpetra::BlockedMap< LocalOrdinal, GlobalOrdinal, Node > &sourceBlockedMap, const Xpetra::Import< LocalOrdinal, GlobalOrdinal, Node > &Importer) |
| static bool | MapsAreNested (const Xpetra::Map< LocalOrdinal, GlobalOrdinal, Node > &rowMap, const Xpetra::Map< LocalOrdinal, GlobalOrdinal, Node > &colMap) |
| static RCP< Xpetra::Vector < LocalOrdinal, LocalOrdinal, GlobalOrdinal, Node > > | CuthillMcKee (const Matrix &Op) |
| static RCP< Xpetra::Vector < LocalOrdinal, LocalOrdinal, GlobalOrdinal, Node > > | ReverseCuthillMcKee (const Matrix &Op) |
MueLu utility class.
This class provides a number of static helper methods. Some are temporary and will eventually go away, while others should be moved to Xpetra.
Definition at line 51 of file MueLu_UtilitiesBase_fwd.hpp.
| typedef Teuchos::ScalarTraits<Scalar>::magnitudeType MueLu::UtilitiesBase< Scalar, LocalOrdinal, GlobalOrdinal, Node >::Magnitude |
Definition at line 103 of file MueLu_UtilitiesBase_decl.hpp.
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Definition at line 80 of file MueLu_UtilitiesBase_def.hpp.
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Threshold a matrix.
Returns matrix filtered with a threshold value.
NOTE – it's assumed that A has been fillComplete'd.
Definition at line 89 of file MueLu_UtilitiesBase_def.hpp.
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Threshold a graph.
Returns graph filtered with a threshold value.
NOTE – it's assumed that A has been fillComplete'd.
Definition at line 138 of file MueLu_UtilitiesBase_def.hpp.
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Extract Matrix Diagonal.
Returns Matrix diagonal in ArrayRCP.
NOTE – it's assumed that A has been fillComplete'd.
Definition at line 171 of file MueLu_UtilitiesBase_def.hpp.
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Extract Matrix Diagonal.
Returns Matrix diagonal in RCP<Vector>.
NOTE – it's assumed that A has been fillComplete'd.
Definition at line 196 of file MueLu_UtilitiesBase_def.hpp.
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Extract Matrix Diagonal.
Returns inverse of the Matrix diagonal in ArrayRCP.
NOTE – it's assumed that A has been fillComplete'd.
Definition at line 233 of file MueLu_UtilitiesBase_def.hpp.
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Extract Matrix Diagonal of lumped matrix.
Returns Matrix diagonal of lumped matrix in RCP<Vector>.
NOTE – it's assumed that A has been fillComplete'd.
Definition at line 324 of file MueLu_UtilitiesBase_def.hpp.
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Return vector containing: max_{i=k}(-a_ik), for each for i in the matrix.
| [in] | A,: | input matrix : vector containing max_{i=k}(-a_ik) |
Definition at line 511 of file MueLu_UtilitiesBase_def.hpp.
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Definition at line 533 of file MueLu_UtilitiesBase_def.hpp.
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Return vector containing inverse of input vector.
| [in] | v,: | input vector |
| [in] | tol,: | tolerance. If entries of input vector are smaller than tolerance they are replaced by valReplacement (see below). The default value for tol is 100*eps (machine precision) |
| [in] | valReplacement,: | Value put in for undefined entries in output vector (default: 0.0) : vector containing inverse values of input vector v |
Definition at line 561 of file MueLu_UtilitiesBase_def.hpp.
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Extract Overlapped Matrix Diagonal.
Returns overlapped Matrix diagonal in ArrayRCP.
The local overlapped diagonal has an entry for each index in A's column map. NOTE – it's assumed that A has been fillComplete'd.
Definition at line 632 of file MueLu_UtilitiesBase_def.hpp.
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Extract Overlapped Matrix Deleted Rowsum.
Returns overlapped Matrix deleted Rowsum in ArrayRCP.
The local overlapped deleted Rowsum has an entry for each index in A's column map. NOTE – it's assumed that A has been fillComplete'd.
Definition at line 648 of file MueLu_UtilitiesBase_def.hpp.
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Definition at line 688 of file MueLu_UtilitiesBase_def.hpp.
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Definition at line 731 of file MueLu_UtilitiesBase_def.hpp.
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Definition at line 743 of file MueLu_UtilitiesBase_def.hpp.
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Definition at line 755 of file MueLu_UtilitiesBase_def.hpp.
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Definition at line 766 of file MueLu_UtilitiesBase_def.hpp.
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Power method.
| A | matrix |
| scaleByDiag | if true, estimate the largest eigenvalue of \( D^; A \). |
| niters | maximum number of iterations |
| tolerance | stopping tolerance if true, print iteration information seed for randomizing initial guess |
(Shamelessly grabbed from tpetra/examples.)
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Power method.
| A | matrix |
| diagInvVec | reciprocal of matrix diagonal |
| niters | maximum number of iterations |
| tolerance | stopping tolerance if true, print iteration information seed for randomizing initial guess |
(Shamelessly grabbed from tpetra/examples.)
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Definition at line 844 of file MueLu_UtilitiesBase_def.hpp.
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Squared distance between two rows in a multivector.
Used for coordinate vectors.
Definition at line 852 of file MueLu_UtilitiesBase_def.hpp.
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Weighted squared distance between two rows in a multivector.
Used for coordinate vectors.
Definition at line 865 of file MueLu_UtilitiesBase_def.hpp.
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Detect Dirichlet rows.
The routine assumes, that if there is only one nonzero per row, it is on the diagonal and therefore a DBC. This is safe for most of our applications, but one should be aware of that.
There is an alternative routine (see DetectDirichletRowsExt)
| [in] | A | matrix |
| [in] | tol | If a row entry's magnitude is less than or equal to this tolerance, the entry is treated as zero. |
Definition at line 879 of file MueLu_UtilitiesBase_def.hpp.
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Detect Dirichlet rows.
| [in] | A | matrix |
| [in] | tol | If a row entry's magnitude is less than or equal to this tolerance, the entry is treated as zero. |
Definition at line 1023 of file MueLu_UtilitiesBase_def.hpp.
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Definition at line 1032 of file MueLu_UtilitiesBase_def.hpp.
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Detect Dirichlet rows (extended version)
Look at each matrix row and mark it as Dirichlet if there is only one "not small" nonzero on the diagonal. In determining whether a nonzero is "not small" use abs(A(i,j)) / sqrt(abs(diag[i]*diag[j])) > tol
| [in] | A | matrix |
| in/out] | bHasZeroDiagonal Reference to boolean variable. Returns true if there is a zero on the diagonal in the local part of the Matrix. Otherwise it is false. Different processors might return a different value. There is no global reduction! | |
| [in] | tol | If a row entry's magnitude is less than or equal to this tolerance, the entry is treated as zero. |
Definition at line 1041 of file MueLu_UtilitiesBase_def.hpp.
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Find non-zero values in an ArrayRCP Compares the value to 2 * machine epsilon.
| [in] | vals | - ArrayRCP<const Scalar> of values to be tested |
| [out] | nonzeros | - ArrayRCP<bool> of true/false values for whether each entry in vals is nonzero |
Definition at line 1076 of file MueLu_UtilitiesBase_def.hpp.
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Find non-zero values in an ArrayRCP Compares the value to 2 * machine epsilon.
| [in] | vals | - ArrayRCP<const Scalar> of values to be tested |
| [out] | nonzeros | - ArrayRCP<bool> of true/false values for whether each entry in vals is nonzero |
Definition at line 1089 of file MueLu_UtilitiesBase_def.hpp.
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Detects Dirichlet columns & domains from a list of Dirichlet rows.
| [in] | A | - Matrix on which to apply Dirichlet column detection |
| [in] | dirichletRows | - ArrayRCP<bool> of indicators as to which rows are Dirichlet |
| [out] | dirichletCols | - ArrayRCP<bool> of indicators as to which cols are Dirichlet |
| [out] | dirichletDomain | - ArrayRCP<bool> of indicators as to which domains are Dirichlet |
Definition at line 1106 of file MueLu_UtilitiesBase_def.hpp.
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Detects Dirichlet columns & domains from a list of Dirichlet rows.
| [in] | A | - Matrix on which to apply Dirichlet column detection |
| [in] | dirichletRows | - View<bool> of indicators as to which rows are Dirichlet |
| [out] | dirichletCols | - View<bool> of indicators as to which cols are Dirichlet |
| [out] | dirichletDomain | - View<bool> of indicators as to which domains are Dirichlet |
Definition at line 1146 of file MueLu_UtilitiesBase_def.hpp.
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Apply Rowsum Criterion.
Flags a row i as dirichlet if:
{j=i} A_ij > A_ii * tol
| [in] | A | matrix |
| [in] | rowSumTol | See above |
| in/out] | dirichletRows boolean array. The ith entry is true if the above criterion is satisfied (or if it was already set to true) |
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Detect Dirichlet columns based on Dirichlet rows.
The routine finds all column indices that are in Dirichlet rows, where Dirichlet rows are described by dirichletRows, as returned by DetectDirichletRows.
| [in] | A | matrix |
| [in] | dirichletRows | array of Dirichlet rows. |
Definition at line 1360 of file MueLu_UtilitiesBase_def.hpp.
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Detect Dirichlet columns based on Dirichlet rows.
The routine finds all column indices that are in Dirichlet rows, where Dirichlet rows are described by dirichletRows, as returned by DetectDirichletRows.
| [in] | A | matrix |
| [in] | dirichletRows | array of Dirichlet rows. |
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Frobenius inner product of two matrices.
Used in energy minimization algorithms
Definition at line 1451 of file MueLu_UtilitiesBase_def.hpp.
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Set seed for random number generator.
Distribute the seeds evenly in [1,INT_MAX-1]. This guarantees nothing about where random number streams on difference processes will intersect. This does avoid overflow situations in parallel when multiplying by a PID. It also avoids the pathological case of having the same random number stream on each process.
Definition at line 1511 of file MueLu_UtilitiesBase_def.hpp.
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Definition at line 1535 of file MueLu_UtilitiesBase_def.hpp.
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Definition at line 1557 of file MueLu_UtilitiesBase_def.hpp.
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Definition at line 1583 of file MueLu_UtilitiesBase_def.hpp.
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Definition at line 1655 of file MueLu_UtilitiesBase_def.hpp.
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Definition at line 1671 of file MueLu_UtilitiesBase_def.hpp.
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Definition at line 1690 of file MueLu_UtilitiesBase_def.hpp.
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Definition at line 1751 of file MueLu_UtilitiesBase_def.hpp.
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Definition at line 1794 of file MueLu_UtilitiesBase_def.hpp.
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Creates a copy of a matrix where the non-zero entries are replaced by ones.
Definition at line 1837 of file MueLu_UtilitiesBase_def.hpp.
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Definition at line 1869 of file MueLu_UtilitiesBase_def.hpp.
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Definition at line 1921 of file MueLu_UtilitiesBase_def.hpp.
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Perform a Cuthill-McKee (CM) or Reverse Cuthill-McKee (RCM) ordering of the local component of the matrix. Kokkos-Kernels has an RCM implementation, so we reverse that here if we call CM.
Definition at line 1972 of file MueLu_UtilitiesBase_def.hpp.
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Perform a Reverse Cuthill-McKee (RCM) ordering of the local component of the matrix.
Definition at line 1943 of file MueLu_UtilitiesBase_def.hpp.
1.8.5 
