► N Hpro ► N BLAS C Matrix Standard dense matrix in basic linear algebra, i.e. BLAS/LAPACK C TransposeView Provide transposed view of a matrix C AdjoinView Provide adjoint view, e.g. conjugate transposed of a given matrix C MatrixView Provide generic view to a matrix, e.g. transposed or adjoint C MatrixBase Defines basic interface for matrices C MemBlock Defines a reference countable memory block C Range Indexset with modified ctors C Vector Standard vector in basic linear algebra, i.e. BLAS/LAPACK ► N DAG C LocalGraph C Node Represents a node in a DAG C fac_options_t Options for matrix factorisations C inv_options_t Options for matrix inversion C TFrobeniusNorm Computes Frobenius norm ‖·‖_F of a matrix C TSpectralNorm Computes spectral norm ‖·‖₂ of matrix (or linear operator) C TInfinityNorm Computes infinity norm ‖·‖_∞ of a matrix C TRowMatrixNorm Computes norm for each row of a matrix C TColumnMatrixNorm Computes norm for each column of the matrix C solve_option_t Options for how to solve with given matrix C eval_option_t Options for how to evaluate given matrix C TCoarsen Implements coarsening, e.g. agglomeration of blocked matrices into dense or low-rank matrices if the later use less memory C TLowRankApx Base class for all low rank approximation techniques C TZeroLRApx Approximate all low-rank blocks by zero, e.g. for nearfield only C TDenseLRApx Computes dense matrix block without approximation C TSVDLRApx Uses exact SVD to compute low rank approximation (WARNING: O(n³) complexity) C TRandSVDLRApx Uses randomized SVD to compute low rank approximation (WARNING: O(n²) complexity) C TRRQRLRApx Uses rank-revealing QR to compute low rank approximation C TACA Defines interface for all ACA algorithms and implements classical ACA C TACAPlus Implements ACA+, which corrects some of the deficits of the original ACA algorithm C TACAFull ACA with full pivot search (complexity: O(n²)) ► C THCA Uses hybrid cross approximation (HCA) for computing low rank approximation C stat_t C TGeneratorFn Class defining kernel generator function used by HCA C TPermHCAGeneratorFn Base class for HCA generator functions using row/column permutations C TMatrix Base class for all matrices, defining basic properties, e.g. underlying block index and processor set C TByteStream Implements a stream of bytes for storage purposes C is_complex_type C is_single_prec C real_type C promote_type C value_type C TTruncAcc Defines accuracy for truncation of low rank blocks C TBlockTruncAcc Truncation accuracy defined blockwise for block index sets C TTypeInfo Provides basic interface and methods for RTTI C TBilinearForm Base class for all bilinear forms C TBEMBF Base class for BEM bilinear forms with ansatz and test space C TBFCoeffFn Provide matrix coefficients defined by bilinear forms C TExpBF Bilinear form for expontential kernel C TExpGenFn Kernel generator function for Exp Kernel C THelmholtzSLPBF Bilinear form for Helmholtz single layer potential C THelmholtzDLPBF Bilinear form for Helmholtz double layer potential C THelmholtzSLPGenFn Kernel generator function for Helmholtz SLP C THelmholtzDLPGenFn Kernel generator function for Helmholtz DLP C TLaplaceSLPBF Bilinear form for Laplace single layer potential C TLaplaceDLPBF Bilinear form for Laplace double layer potential C TLaplaceSLPGenFn Kernel generator function for Laplace SLP C TLaplaceDLPGenFn Kernel generator function for Laplace DLP C TMassBF Bilinear form for mass matrix C TMaxwellEFIEMassBF Bilinear form for Maxwell EFIE mass matrix C TMaxwellMFIEMassBF Bilinear form for Maxwell MFIE mass matrix C tripair_quad_rule_t Holds quadrature rule with points and weights for two triangles C TQuadBEMBF Base class for all quadrature based bilinear forms C TInvarBasisQuadBEMBF Class for quadrature based bilinear forms with invariant basis functions C tri_quad_rule_t ► C TQuadHCAGenFn Base class for HCA generator functions using quadrature C stat_t C TInvarBasisQuadHCAGenFn Class for BEM HCA generator functions with invariant basis functions C TAdmCondition Defines basic interface for admissibility conditions C TOffDiagAdmCond Everything except diagonal is admissible C TAlgAdmCond Base class for algebraic admissibility conditions C TStdAlgAdmCond Standard admissibility condition based on matrix graph criteria C TAlgCTBuilder Base class for cluster tree construction algorithms based on graph partitioning with graph defined by a sparse matrix ► C TAlgNDCTBuilder Enhances algebraic clustering by nested dissection C TOptClusterSize Controls optimal cluster size per tree level C TPartAlgCTBuilder Enhances algebraic clustering by allowing the user to define the first level of index partitioning, e.g. define which index belongs to which son cluster C TAlgPartStrat Base class for partitioning strategies for algebraic clustering C TBFSAlgPartStrat Graph partitioning using BFS algorithm and FM optimisation C TMLAlgPartStrat Multi level graph partitioning C TMETISAlgPartStrat Graph partitioning using METIS C TScotchAlgPartStrat Graph partitioning using Scotch C TChacoAlgPartStrat Graph partitioning using CHACO C TMongooseAlgPartStrat Graph partitioning using Mongoose C TBCBuilder Recursively build block cluster tree with supplied admissibility condition C TBlockCluster Representing a node in a block cluster tree as product of two clusters C TBlockClusterTree Represents a block cluster tree ► C TGeomCTBuilder Base class for all cluster tree constructors based on geometry data C data_t Datatype for internal argument transfer C TOptClusterSize Controls optimal cluster size per tree level C TBSPCTBuilder Base class for all cluster tree constructors based on BSP C TBSPNDCTBuilder Combines binary space partitioning with nested dissection based on connectivity defined by a sparse matrix C TGeomPartCTBuilder Enhances other geometrical ct builders by allowing the user to define the first level of index partitioning by a given vector C TGeomGroupCTBuilder Enhances geometrical ct builder by allowing to group indices, e.g. the groups are clustered and later expanded, ensuring that all indices in a group are in the same cluster NOTE: bounding boxes per index are not yet supported (bb_min/bb_max) C TBSPPartStrat Base class for partitioning strategies for geometrical BSP clustering C TGeomBSPPartStrat Partition according to geometrical volume of index sets C TCardBSPPartStrat Partition according to cardinality of index sets C TPCABSPPartStrat Partition according to principle component analysis C TNDBSPPartStrat Special partition strategy to optimized nested dissection clustering C TAutoBSPPartStrat Automatic choice of best partitioning strategy C TCluster Represents a node in a cluster tree with an arbitrary number of sons C TUniformVector Class for a uniform vector, e.g. represented as C TClusterBasis Class representing a nested cluster basis C TDenseClusterBasisBuilder Class for constructing cluster bases using dense matrices C THClusterBasisBuilder Class for constructing cluster bases using H-matrices C TClusterTree Represents a cluster tree with permutation of index sets C TCoordinate Stores coordinate information for indices ► C TDiGraph Class for directed graph represented by adjacency matrix in sparse format (assuming sparse graph!) C TIterator Iterator to predecessor/successor lists C TFVS Uses a heuristic algorithm to compute feedback vertex set of a directed graph represented by a sparse matrix C TStdGeomAdmCond Standard admissibility for FEM/BEM applications normal : adm iff min( diam(τ), diam(σ) ) ≤ η·dist(τ,σ) use_max: adm iff max( diam(τ), diam(σ) ) ≤ η·dist(τ,σ) C TWeakStdGeomAdmCond Combination of standard and weak admissibility C THiLoFreqGeomAdmCond Admissibility for high and low frequency regimes C TParabolicGeomAdmCond Parabolic admissibility for high frequency regimes C TGeomCluster Extend standard cluster by bounding box ► C TGraph Class for a undirected graph stored as adjacency matrix in CRS representation C TAdjNodes C TAdjNodesWeights C TNodes C TEWGraph Represents undirected graph with edge weights C TIndexSet Represents an indexset with contigously numbered indices, defined by the first and last index in the set C TBlockIndexSet Represents a product of two indexsets ► C TNodeSet Represents a set of nodes by an array C iterator STL iterator for TNodeSet C TPermutation Describes permutation of index sets C TClusterBasisVis Base class for cluster basis visualisation C TPSClusterBasisVis Cluster basis visualisation in PostScript format C TClusterVis Base class for cluster tree visualisation C TBlockClusterVis Base class for block cluster tree visualisation C T2DClusterVis Base class for cluster tree visualisation in 2D C TPSClusterVis Class for cluster tree visualisation in PostScript format C TPDFClusterVis Class for cluster tree visualisation in PDF format C T2DBlockClusterVis Base class for block cluster tree visualisation in 2D C TPSBlockClusterVis Class for block cluster tree visualisation in PostScript format C TPDFBlockClusterVis Class for block cluster tree visualisation in PDF format C TVTKBlockClusterVis Class for block cluster tree visualisation in VTK C TGVClusterVis Cluster tree visualisation in GraphViz format C TGVBlockClusterVis Block cluster tree visualisation in GraphViz format C TCoordIO Base class for coordinate I/O defining interface C TAutoCoordIO Class for coordinate I/O with file format detection C TSAMGCoordIO Class for coordinate I/O in SAMG format C TMatlabCoordIO Class for coordinate I/O in Matlab format C THproCoordIO Class for coordinate I/O in HLIB format C TMMCoordIO Class for coordinate I/O in MatrixMarket format C TPLTMGCoordIO Class for coordinate I/O in PLTMG format C TGMSHCoordIO Class for coordinate I/O in GMSH format C TPSCoordVis Coordinate visualisation in PostScript format C TVTKCoordVis Coordinate visualisation in VTK format C TGridIO Base class for reading grids C TAutoGridIO Class for grid I/O with file format detection C THLibGridIO Class for grid I/O in HLIB format C TPlyGridIO Class for grid I/O in Ply format C TSurfMeshGridIO Class for grid I/O in Surface Mesh format C TGMSHGridIO Class for grid I/O in GMSH format C T2DGridVis Base class for 2D grid visualisation (by projection) C TPSGridVis Class for grid visualisation in PostScript format C TPDFGridVis Class for grid visualisation in PDF format C TVTKGridVis Class for grid visualisation in VTK format C TAutoMatrixIO Class for matrix I/O with automatic file format detection C TOctaveMatrixIO Class for matrix I/O in octave format C TSAMGMatrixIO Class for matrix I/O in SAMG format C TMatlabMatrixIO Class for matrix I/O in Matlab format C THproMatrixIO Class for matrix I/O in HLIB format C TPLTMGMatrixIO Class for matrix I/O in PLTMG format C THBMatrixIO Class for matrix I/O in Harwell-Boeing and Rutherford-Boeing format C TMMMatrixIO Class for matrix I/O in MatrixMarket format C THDF5MatrixIO Class for matrix I/O in HDF5 format C TMatrixVisBase Implements 2D based matrix visualisation C TPSMatrixVis Class for matrix visualisation in PostScript format C TPDFMatrixVis Class for matrix visualisation in PDF format C TAutoVectorIO Class for vector I/O with automatic file format detection C TSAMGVectorIO Class for vector I/O in SAMG format C TMatlabVectorIO Class for vector I/O in Matlab format C THproVectorIO Class for vector I/O in HLIB format C THBVectorIO Class for vector I/O in Harwell-Boeing and Rutherford-Boeing format C TMMVectorIO Class for vector I/O in MatrixMarket format C TBlockMatrix Class for a n×m block matrix of TMatrix sub matrices C TCoeffFn Base class for returning coefficient for a given indexpair (i,j) in internal ordering C TPermCoeffFn Eval coefficient function with reordered indices, e.g. change internal to external ordering C TCBCoeffFn Eval real valued matrix coefficients with call-back function C TDenseMatrix Represent a dense matrix C TFacInvMatrix Baseclass for representing the inverse of factorised matrices C TLUInvMatrix Represents the inverse of a LU factored matrix C TLDUInvMatrix Represents the inverse of a LDU factored matrix C TLDLInvMatrix Represents the inverse of a LDL factored matrix C TLLInvMatrix Represents the inverse of a Cholesky factored matrix C TGhostMatrix The class acts as a place holder for non-local matrix blocks to access logical information, e.g. size, processor number, but can not perform any computations C TH2Matrix Class for an H²-matrix, which extends block matrices with additional functionality, e.g. permutations and uniform vectors C THMatrix Class for an H-matrix, which extends block matrices with additional functionality, e.g. permutations C TJacobi Implements Jacobi preconditioner C TLinearOperator Base class for all linear operators mapping vectors to vectors C TMatBuilder Base class for building matrices implementing basic management and parallel construction C TSparseMatBuilder Creates H-matrices out of sparse matrices ► C TDenseMatBuilder Creates matrices by computing low rank approximations of dense sub matrices, e.g. via ACA or SVD C stat_t Statistical data of computations C TH2MatBuilder Base class for H² matrix builders providing leaf bulding function with corresponding cluster bases C TIdMatBuilder Construct identity matrix for given block cluster trees C TZeroMatBuilder Construct empty matrix for given block cluster trees C TSparseBlockMatrix Represents a n×m block matrix with only a small number of non-null sub matrices stored in an efficient way C TMatrixHierarchy Represents a level-wise hierarchy of matrices C TMatrixProduct Represents product α₁A₁ · α₂A₂ · α₃A₃... of matrices (linear ops) C TMatrixSum Represents sum α₁A₁ + α₂A₂ + α₃A₃... of matrices (linear ops) C TNearfieldMulVec Implements matrix-vector multiplication with nearfield part of H-matrix C TPermMatrix C TRkMatrix Represents low rank matrices in factored form: C TSOR Implements SOR preconditioner for sparse matrices C TGaussSeidel Implements Gauss-Seidel preconditioner C TSparseMatrix Class for a sparse matrix stored in compressed row storage format C TUniformMatrix Represents low rank matrices as uniform matrix: C TUpdateAccumulator Handles updates for a single matrix block by accumulating direct updates and recursive (pending) updates C TZeroMatrix Class for a null matrix with only zero coefficients C TMaternCovCoeffFn Matern covariance coefficient function C TTimer Timer class C TCPUTimer Timer class measuring CPU time C TThreadCPUTimer Timer class measuring CPU time of current thread C TWallTimer Timer class measuring wall clock time ► C TDistrBC Base class for all block cluster distribution methods C TCostFunc Cost function for block clusters in load balancing C TBlockDistrBC Class for block-wise block cluster tree distribution C TSFCDistrBC Class for distributing block cluster trees using space filling curves C TNDDistrBC Class for block cluster tree distribution for nested dissection C TMutex Wraps default mutices C TLockable Base class for all mutex equipped classes C TScopedLock Provides automatic lock and unlock for mutices C TProcSet Describes a processor set of continuously numbered processors C TAutoSolver Implements an iterative solver automatically choosing appropriate algorithm based on matrix criteria C TBiCGStab Implements BiCG-Stab iteration C TCG Implements conjugate gradient iteration C TCGS Implements squared conjugate gradient iteration C TGMRES Implements GMRES iteration with restart C TLinearIteration Implements linear iteration C TMINRES Implements the MINRES iteration C TTFQMR Implements transpose free quasi minimal residual iteration C TBlockVector Class for a blocked, scalar vector C TScalarVector Class for a scalar vector C TUniformBlockVector Class for a uniform block vector, e.g. of uniform sub blocks C TVector Base class for all vectors defining basic interface C acc_u C hpro_ C TGridVis Base class for grid visualisation C THLibClusterBasisIO Cluster basis I/O in HLIBpro file format C TLDL Computes LDL factorisation C TLDU Computes LDU factorisation C TLL Computes Cholesky factorisation C TLU Computes LU factorisation C TMBLRBSPCTBuilder Implement MBLR clustering 
1.9.1