Ccomplex | Class for a complex numerical type |
CTBSPCTBuilder::data_t | Datatype for internal argument transfer |
Cfac_options_t | Options for matrix factorisations |
Cinv_options_t | Options for matrix inversion |
Cis_complex_type< T > | |
Cis_float< T > | |
Cis_integer< T > | |
►CMatrixBase< T_derived > | Defines basic interface for matrices |
CMatrix< complex > | |
CMatrix< real > | |
►CMatrixBase< AdjoinView< T_matrix > > | |
CAdjoinView< T_matrix > | Provide adjoint view, e.g. conjugate transposed of a given matrix |
►CMatrixBase< Matrix< T_value > > | |
CMatrix< T_value > | Standard dense matrix in basic linear algebra, i.e. BLAS/LAPACK |
►CMatrixBase< MatrixView< T_matrix > > | |
CMatrixView< T_matrix > | Provide generic view to a matrix, e.g. transposed or adjoint |
►CMatrixBase< TransposeView< T_matrix > > | |
CTransposeView< T_matrix > | Provide transposed view of a matrix |
►CMemBlock< T_value > | Defines a reference countable memory block |
CMatrix< T_value > | Standard dense matrix in basic linear algebra, i.e. BLAS/LAPACK |
CVector< T_value > | Standard vector in basic linear algebra, i.e. BLAS/LAPACK |
►CMemBlock< complex > | |
CMatrix< complex > | |
CVector< complex > | |
►CMemBlock< real > | |
CMatrix< real > | |
CVector< real > | |
Cquad_rule_t | Holds quadrature rule with points and weights for two triangles |
Creal_type< T > | |
Csolve_option_t | Determines characteristics of triangular system |
CTHCA< T >::stat_t | |
CTQuadHCAGenFn< T_ansatzsp, T_testsp, T_val >::stat_t | |
►CTAdmCondition | Defines basic interface for admissibility conditions |
►CTAlgAdmCond | Base class for algebraic admissibility conditions |
CTStdAlgAdmCond | Standard admissibility condition based on matrix graph criteria |
CTHiLoFreqGeomAdmCond | Admissibility for high and low frequency regimes |
►CTStdGeomAdmCond | 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) |
CTWeakStdGeomAdmCond | Combination of standard and weak admissibility |
►CTAlgCTBuilder | Base class for cluster tree construction algorithms based on graph partitioning with graph defined by a sparse matrix |
CTAlgNDCTBuilder | Enhances algebraic clustering by nested dissection |
CTPartAlgCTBuilder | 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 |
►CTAlgPartStrat | Base class for partitioning strategies for algebraic clustering |
CTBFSAlgPartStrat | Graph partitioning using BFS algorithm and FM optimisation |
CTMETISAlgPartStrat | Graph partitioning using METIS |
CTMLAlgPartStrat | Multi level graph partitioning |
►CTBCBuilder | Recursively build block cluster tree with supplied admissibility condition |
CTDDBCBuilder | Build blockclusters in case of domain decomposition |
►CTBilinearForm< T_val > | Base class for all bilinear forms |
►CTBEMBF< T_ansatzsp, T_testsp, T_val > | Base class for BEM bilinear forms with ansatz and test space |
►CTQuadBEMBF< T_ansatzsp, T_testsp, T_val > | Base class for all quadrature based bilinear forms |
CTInvarBasisQuadBEMBF< T_ansatzsp, T_testsp, T_val > | Class for quadrature based bilinear forms with invariant basis functions |
►CTBilinearForm< complex > | |
►CTBEMBF< T_ansatzsp, T_testsp, complex > | |
►CTQuadBEMBF< T_ansatzsp, T_testsp, complex > | |
►CTInvarBasisQuadBEMBF< T_ansatzsp, T_testsp, complex > | |
CTAcousticScatterBF< T_ansatzsp, T_testsp > | Bilinear form for acoustic scattering |
CTHelmholtzDLPBF< T_ansatzsp, T_testsp > | Bilinear form for Helmholtz double layer potential |
CTHelmholtzSLPBF< T_ansatzsp, T_testsp > | Bilinear form for Helmholtz single layer potential |
►CTBilinearForm< real > | |
►CTBEMBF< T_ansatzsp, T_testsp, real > | |
CTMassBF< T_ansatzsp, T_testsp > | Bilinear form for mass matrix |
CTMaxwellEFIEMassBF< T_ansatzsp, T_testsp > | Bilinear form for Maxwell EFIE mass matrix |
CTMaxwellMFIEMassBF< T_ansatzsp, T_testsp > | Bilinear form for Maxwell MFIE mass matrix |
►CTQuadBEMBF< T_ansatzsp, T_testsp, real > | |
►CTInvarBasisQuadBEMBF< T_ansatzsp, T_testsp, real > | |
CTLaplaceDLPBF< T_ansatzsp, T_testsp > | Bilinear form for Laplace double layer potential |
CTLaplaceSLPBF< T_ansatzsp, T_testsp > | Bilinear form for Laplace single layer potential |
CTBlockCluster | Representing a node in a block cluster tree as product of two clusters |
CTBlockClusterTree | Represents a block cluster tree |
►CTBlockClusterVis | Base class for block cluster tree visualisation |
►CT2DBlockClusterVis | Base class for block cluster tree visualisation in 2D |
CTPDFBlockClusterVis | Class for block cluster tree visualisation in PDF format |
CTPSBlockClusterVis | Class for block cluster tree visualisation in PostScript format |
CTGVBlockClusterVis | Block cluster tree visualisation in GraphViz format |
CTBlockIndexSet | Represents a product of two indexsets |
►CTBSPCTBuilder | Base class for all cluster tree constructors based on geometry data |
CTBSPGroupCTBuilder | Enhances BSP by allowing grouping of 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) |
CTBSPNDCTBuilder | Combines binary space partitioning with nested dissection based on connectivity defined by a sparse matrix |
CTBSPPartCTBuilder | Enhances BSP by allowing the user to define the first level of index partitioning by a given vector |
►CTBSPPartStrat | Base class for partitioning strategies for geometrical BSP clustering |
CTAutoBSPPartStrat | Automatic choice of best partitioning strategy |
CTCardBSPPartStrat | Partition according to cardinality of index sets |
CTGeomBSPPartStrat | Partition according to geometrical volume of index sets |
CTNDBSPPartStrat | Special partition strategy to optimized nested dissection clustering |
CTPCABSPPartStrat | Partition according to principle component analysis |
CTByteStream | Implements a stream of bytes for storage purposes |
CTChacoPartStrat | Graph partitioning using CHACO |
►CTClusterBasisIO< T > | Base class for cluster basis input/output |
CTHLibClusterBasisIO< T > | Cluster basis I/O in HLIBpro file format |
►CTClusterBasisVis< T > | Base class for cluster basis visualisation |
CTPSClusterBasisVis< T > | Cluster basis visualisation in PostScript format |
CTClusterTree | Represents a cluster tree with permutation of index sets |
►CTClusterVis | Base class for cluster tree visualisation |
►CT2DClusterVis | Base class for cluster tree visualisation in 2D |
CTPDFClusterVis | Class for cluster tree visualisation in PDF format |
CTPSClusterVis | Class for cluster tree visualisation in PostScript format |
CTGVClusterVis | Cluster tree visualisation in GraphViz format |
CTVRMLClusterVis | Cluster output in VRML format |
CTCoarsen | Implements coarsening, e.g. agglomeration of blocked matrices into dense or low-rank matrices if the later use less memory |
►CTCoeffFn< T > | Base class for returning coefficient for a given indexpair (i,j) in internal ordering |
►CTPermCoeffFn< T > | Eval coefficient function with reordered indices, e.g. change internal to external ordering |
CTCBCoeffFn< T > | Eval real valued matrix coefficients with call-back function |
►CTCoeffFn< T_bf::value_t > | |
►CTPermCoeffFn< T_bf::value_t > | |
CTBFCoeffFn< T_bf > | Provide matrix coefficients defined by bilinear forms |
CTColumnMatrixNorm | Computes norm for each column of the matrix |
CTCoordinate | Stores coordinate information for indices |
►CTCoordIO | Base class for coordinate I/O defining interface |
CTAutoCoordIO | Class for coordinate I/O with file format detection |
CTHLibCoordIO | Class for coordinate I/O in HLIB format |
CTMatlabCoordIO | Class for coordinate I/O in Matlab format |
CTMMCoordIO | Class for coordinate I/O in MatrixMarket format |
CTPLTMGCoordIO | Class for coordinate I/O in PLTMG format |
CTSAMGCoordIO | Class for coordinate I/O in SAMG format |
CTCoordVis | Base class for coordinate visualisation |
CTDistrBC::TCostFunc | Cost function for block clusters in load balancing |
CTDAGNode | Base class for DAG nodes defining interface and basic functionality |
CTDenseClusterBasisBuilder< T > | Class for constructing cluster bases using dense matrices |
CTDiGraph | Class for directed graph represented by adjacency matrix in sparse format (assuming sparse graph!) |
►CTDistrBC | Base class for all block cluster distribution methods |
CTBlockDistrBC | Class for block-wise block cluster tree distribution |
CTNDDistrBC | Class for block cluster tree distribution for nested dissection |
CTSFCDistrBC | Class for distributing block cluster trees using space filling curves |
CTFacMatrix | Implements matrix-vector multiplication with nearfield part of H-matrix |
CTFVS | Uses a heuristic algorithm to compute feedback vertex set of a directed graph represented by a sparse matrix |
►CTHCA< T >::TGeneratorFn | Class defining kernel generator function used by HCA |
►CTPermHCAGeneratorFn< T_val > | Base class for HCA generator functions using row/column permutations |
►CTQuadHCAGenFn< T_ansatzsp, T_testsp, T_val > | Base class for HCA generator functions using quadrature |
CTInvarBasisQuadHCAGenFn< T_ansatzsp, T_testsp, T_val > | Class for BEM HCA generator functions with invariant basis functions |
►CTPermHCAGeneratorFn< complex > | |
►CTQuadHCAGenFn< T_ansatzsp, T_testsp, complex > | |
►CTInvarBasisQuadHCAGenFn< T_ansatzsp, T_testsp, complex > | |
CTHelmholtzDLPGenFn< T_ansatzsp, T_testsp > | Kernel generator function for Helmholtz DLP |
CTHelmholtzSLPGenFn< T_ansatzsp, T_testsp > | Kernel generator function for Helmholtz SLP |
►CTPermHCAGeneratorFn< real > | |
►CTQuadHCAGenFn< T_ansatzsp, T_testsp, real > | |
►CTInvarBasisQuadHCAGenFn< T_ansatzsp, T_testsp, real > | |
CTLaplaceDLPGenFn< T_ansatzsp, T_testsp > | Kernel generator function for Laplace DLP |
CTLaplaceSLPGenFn< T_ansatzsp, T_testsp > | Kernel generator function for Laplace SLP |
►CTGraph | Class for a undirected graph stored as adjacency matrix in CRS representation |
CTEWGraph | Represents undirected graph with edge weights |
►CTGridIO | Base class for reading grids |
CTAutoGridIO | Class for grid I/O with file format detection |
CTGMSHGridIO | Class for grid I/O in GMSH format |
CTHLibGridIO | Class for grid I/O in HLIB format |
CTPlyGridIO | Class for grid I/O in Ply format |
CTSurfMeshGridIO | Class for grid I/O in Surface Mesh format |
►CTGridVis | Base class for grid visualisation |
►CT2DGridVis | Base class for 2D grid visualisation (by projection) |
CTPDFGridVis | Class for grid visualisation in PDF format |
CTPSGridVis | Class for grid visualisation in PostScript format |
CTVRMLGridVis | Class for grid visualisation in VRML format |
CTVTKGridVis | Class for grid visualisation in VTK format |
CTHClusterBasisBuilder< T > | Class for constructing cluster bases using H-matrices |
►CTIndexSet | Represents an indexset with contigously numbered indices, defined by the first and last index in the set |
CRange | Defines an indexset [ first, last ] with stepwidth stride |
►CTCluster | Represents a node in a cluster tree with an arbitrary number of sons |
CTGeomCluster | Extend standard cluster by bounding box |
CTClusterBasis< T > | Class representing a nested cluster basis |
CTClusterBasis< complex > | |
CTClusterBasis< real > | |
CTSolver::TInfo | Datatype to share iteration history |
CTDiGraph::TIterator | Iterator to predecessor/successor lists |
CTGraph::TIterator | Class for iterating through adjacent nodes |
CTNodeSet::TIterator | Class for iterating through node sets |
CTLDL | Computes LDL factorisation or |
CTLDU | Computes LDU factorisation |
CTLL | Computes Cholesky factorisation or |
►CTLockable | Base class for all mutex equipped classes |
►CTMatrix | Base class for all matrices, defining basic properties, e.g. underlying block index and processor set |
►CTBlockMatrix | Class for a n×m block matrix of TMatrix sub matrices |
CTH2Matrix | Class for an H²-matrix, which extends block matrices with additional functionality, e.g. permutations and uniform vectors |
CTHMatrix | Class for an H²-matrix, which extends block matrices with additional functionality, e.g. permutations |
CTDenseMatrix | Represent a dense matrix |
CTGhostMatrix | 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 |
CTRkMatrix | Represents low rank matrices in factored form: |
CTSparseMatrix | Class for a sparse matrix stored in compressed row storage format |
CTUniformMatrix | Represents low rank matrices as uniform matrix: , where and are cluster bases and holds the corresponding coefficients |
CTZeroMatrix | Class for a null matrix with only zero coefficients |
►CTLowRankApx | Base class for all low rank approximation techniques |
►CTACA< T > | Defines interface for all ACA algorithms and implements classical ACA |
CTACAFull< T > | ACA with full pivot search (complexity: O(n²)) |
CTACAPlus< T > | Implements ACA+, which corrects some of the deficits of the original ACA algorithm |
CTHCA< T > | Uses hybrid cross approximation (HCA) for computing low rank approximation |
CTSVDLRApx< T > | Uses exact SVD to compute low rank approximation (WARNING: O(n³) complexity) |
CTZeroLRApx | Approximate all low-rank blocks by zero, e.g. for nearfield only |
CTLU | Computes LU factorisation |
►CTMatBuilder | Base class for building matrices implementing basic management and parallel construction |
CTIdMatBuilder | Construct identity matrix for given block cluster trees |
CTMatrixHierarchy | Represents a level-wise hierarchy of matrices |
►CTMatrixIO | Base class for Matrix IO defining interface |
CTAutoMatrixIO | Class for matrix I/O with automatic file format detection |
CTHBMatrixIO | Class for matrix I/O in Harwell-Boeing and Rutherford-Boeing format |
CTHLibMatrixIO | Class for matrix I/O in HLIB format |
CTMatlabMatrixIO | Class for matrix I/O in Matlab format |
CTMMMatrixIO | Class for matrix I/O in MatrixMarket format |
CTOctaveMatrixIO | Class for matrix I/O in octave format |
CTPLTMGMatrixIO | Class for matrix I/O in PLTMG format |
CTSAMGMatrixIO | Class for matrix I/O in SAMG format |
►CTMatrixNorm | Baseclass for matrix norm computations |
CTFrobeniusNorm | Computes Frobenius norm ‖·‖_F of a matrix |
CTSpectralNorm | Computes spectral norm ‖·‖₂ of matrix (or linear operator) |
►CTMatrixVis | Base class for matrix visualisation |
►CT2DMatrixVis | Implements 2D based matrix visualisation |
CTPDFMatrixVis | Class for matrix visualisation in PDF format |
CTPSMatrixVis | Class for matrix visualisation in PostScript format |
CTMutex | Wraps default mutices |
CTNodeSet | Represents a set of nodes by an array |
CTAlgNDCTBuilder::TOptClusterSize | Controls optimal cluster size per tree level |
CTBSPCTBuilder::TOptClusterSize | Controls optimal cluster size per tree level |
CTProcSet | Describes a processor set of continuously numbered processors |
►CTProgressBar | Base class defining interface |
CTCBProgressBar | Class for progress bar calling user defined call back function upon change in status |
CTStreamProgressBar | Class for a progress bar using IO stream to print the progress |
CTPSCoordVis | Coordinate visualisation in PostScript format |
Ctri_eval_option_t | Determines characteristics of triangular system |
Ctri_quad_rule_t | |
CTGrid::triangle_t | |
CTRowMatrixNorm | Computes norm for each row of a matrix |
CTScopedLock | Provides automatic lock and unlock for mutices |
CTScotchPartStrat | Graph partitioning using Scotch |
►CTSolver | Solver base class defining interface and implementing simple solver (Richardson iteration) |
CTAutoSolver | Implements an iterative solver automatically choosing appropriate algorithm based on matrix criteria |
CTBiCGStab | Implements BiCG-Stab iteration |
CTCG | Implements conjugate gradient iteration |
CTGMRES | Implements GMRES iteration with restart |
CTMINRES | Implements the MINRES iteration |
CTMatrixHierarchy::TSparseBlockMatrix | Represents a n×m block matrix with only a small number of non-null sub matrices stored in an efficient way |
►CTTimer | Timer class |
CTCPUTimer | Timer class measuring CPU time |
CTThreadCPUTimer | Timer class measuring CPU time of current thread |
CTWallTimer | Timer class measuring wall clock time |
►CTTruncAcc | Defines accuracy for truncation of low rank blocks |
CTBlockTruncAcc | Truncation accuracy defined blockwise for block index sets |
►CTTypeInfo | Provides basic interface and methods for RTTI |
CTCluster | Represents a node in a cluster tree with an arbitrary number of sons |
CTClusterBasis< T > | Class representing a nested cluster basis |
►CTLinearOperator | Base class for all linear operators mapping vectors to vectors |
►CTFacInvMatrix | Baseclass for representing the inverse of factorised matrices |
CTLDLInvMatrix | Represents the inverse of a LDL factored matrix |
CTLDUInvMatrix | Represents the inverse of a LDU factored matrix |
CTLLInvMatrix | Represents the inverse of a Cholesky factored matrix |
CTLUInvMatrix | Represents the inverse of a LU factored matrix |
CTJacobi | Implements Jacobi preconditioner |
CTMatrix | Base class for all matrices, defining basic properties, e.g. underlying block index and processor set |
CTPermMatrix | |
CTSOR | Implements SOR preconditioner |
►CTVector | Base class for all vectors defining basic interface |
CTBlockVector | Class for a blocked, scalar vector |
CTDistrScalarVec | Distributed scalar vector: only local part is stored |
►CTScalarVector | Class for a scalar vector |
CTVirtualVector | A virtual vector gets his data from some real vector and behaves just like it, except memory-management |
►CTUniformVector | Class for a uniform vector, e.g. represented as with cluster basis and coefficients |
CTUniformBlockVector | Class for a uniform block vector, e.g. of uniform sub blocks |
CTClusterBasis< complex > | |
CTClusterBasis< real > | |
►CTVectorIO | Base class for vector IO defining interface |
CTAutoVectorIO | Class for vector I/O with automatic file format detection |
CTHBVectorIO | Class for vector I/O in Harwell-Boeing and Rutherford-Boeing format |
CTHLibVectorIO | Class for vector I/O in HLIB format |
CTMatlabVectorIO | Class for vector I/O in Matlab format |
CTMMVectorIO | Class for vector I/O in MatrixMarket format |
CTSAMGVectorIO | Class for vector I/O in SAMG format |
CTVRMLCoordVis | Coordinate visualisation in VRML format |
CTVTKCoordVis | Coordinate visualisation in VTK format |
►Cvector< T > | STL class |
CTPermutation | Describes permutation of index sets |