Here are the classes, structs, unions and interfaces with brief descriptions:
[detail level 123]
  HLIB | |
 BLAS | |
  Matrix | Standard dense matrix in basic linear algebra, i.e. BLAS/LAPACK |
| TransposeView | Provide transposed view of a matrix |
| AdjoinView | Provide adjoint view, e.g. conjugate transposed of a given matrix |
| MatrixView | Provide generic view to a matrix, e.g. transposed or adjoint |
| MatrixBase | Defines basic interface for matrices |
| MemBlock | Defines a reference countable memory block |
| NullMemBlock | Special version of a memory block for NULL pointers |
| MemBlockRef | Pointer to handle delete operations for memory blocks like refptr |
| Range | Defines an indexset [ first, last ] with stepwidth stride |
 Vector | Standard vector in basic linear algebra, i.e. BLAS/LAPACK |
| tri_eval_option_t | Determines characteristics of triangular system |
| fac_options_t | Options for matrix factorisations |
| TLU | Computes LU factorisation  |
| TLDU | Computes LDU factorisation  |
| TLL | Computes Cholesky factorisation  or  |
| TLDL | Computes LDL factorisation  or  |
| inv_options_t | Options for matrix inversion |
| TMatrixNorm | Baseclass for matrix norm computations |
| TFrobeniusNorm | Computes Frobenius norm ‖·‖_F of a matrix |
| TSpectralNorm | Computes spectral norm ‖·‖₂ of matrix |
| TRowMatrixNorm | Computes norm for each row of a matrix |
| TColumnMatrixNorm | Computes norm for each column of the matrix |
| solve_option_t | Determines characteristics of triangular system |
| TCoarsen | Implements coarsening, e.g. agglomeration of blocked matrices into dense or low-rank matrices if the later use less memory |
| TLowRankApx | Base class for all low rank approximation techniques |
| TZeroLRApx | Approximate all low-rank blocks by zero, e.g. for nearfield only |
| TSVDLRApx | Uses exact SVD to compute low rank approximation (WARNING: O(n³) complexity) |
| TACA | Defines interface for all ACA algorithms and implements classical ACA |
| TACAPlus | Implements ACA+, which corrects some of the deficits of the original ACA algorithm |
| TACAFull | ACA with full pivot search (complexity: O(n²)) |
| THCA | Uses hybrid cross approximation (HCA) for computing low rank approximation |
| stat_t | |
| TGeneratorFn | Class defining kernel generator function used by HCA |
| TPermHCAGeneratorFn | Base class for HCA generator functions using row/column permutations |
| autoptr | Takes a pointer and handles it safely wrt. exceptions, i.e. it is deleted when leaving the local context (follows STL implementation) |
| TMachInfo | Stores information about processor-number etc |
| is_integer | |
| is_float | |
| num_traits | |
| promote_type | |
| TTruncAcc | Defines accuracy for truncation of low rank blocks |
| TBlockTruncAcc | Truncation accuracy defined blockwise for block index sets |
| TTypeInfo | Provides basic interface and methods for RTTI |
| TAcousticScatterBF | Bilinear form for acoustic scattering |
| TBilinearForm | Base class for all bilinear forms |
| TBEMBF | Base class for BEM bilinear forms with ansatz and test space |
| TBFCoeffFn | Provide matrix coefficients defined by bilinear forms |
| THelmholtzSLPBF | Bilinear form for Helmholtz single layer potential |
| THelmholtzDLPBF | Bilinear form for Helmholtz double layer potential |
| THelmholtzSLPGenFn | Kernel generator function for Helmholtz SLP |
| THelmholtzDLPGenFn | Kernel generator function for Helmholtz DLP |
| TLaplaceSLPBF | Bilinear form for Laplace single layer potential |
| TLaplaceDLPBF | Bilinear form for Laplace double layer potential |
| TLaplaceSLPGenFn | Kernel generator function for Laplace SLP |
| TLaplaceDLPGenFn | Kernel generator function for Laplace DLP |
| TMassBF | Bilinear form for mass matrix |
| TMaxwellEFIEMassBF | Bilinear form for Maxwell EFIE mass matrix |
| TMaxwellMFIEMassBF | Bilinear form for Maxwell MFIE mass matrix |
| quad_rule_t | Holds quadrature rule with points and weights for two triangles |
| TQuadBEMBF | Base class for all quadrature based bilinear forms |
| TInvarBasisQuadBEMBF | Class for quadrature based bilinear forms with invariant basis functions |
| TQuadHCAGenFn | Base class for HCA generator functions using quadrature |
| quad_rule_t | |
| stat_t | |
| TInvarBasisQuadHCAGenFn | Class for BEM HCA generator functions with invariant basis functions |
| TAdmCondition | Defines basic interface for admissibility conditions |
| TAlgAdmCond | Base class for algebraic admissibility conditions |
| TStdAlgAdmCond | Standard admissibility condition based on matrix graph criteria |
| TAlgCTBuilder | Base class for cluster tree construction algorithms based on graph partitioning with graph defined by a sparse matrix |
| TNDAlgCTBuilder | Enhances algebraic clustering by nested dissection |
| TOptClusterSize | Controls optimal cluster size per tree level |
| 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 |
| TAlgPartStrat | Base class for partitioning strategies for algebraic clustering |
| TBFSAlgPartStrat | Graph partitioning using BFS algorithm and FM optimisation |
| TMLAlgPartStrat | Multi level graph partitioning |
| TMETISAlgPartStrat | Graph partitioning using METIS |
| TBCBuilder | Recursively build block cluster tree with supplied admissibility condition |
| TDDBCBuilder | Build blockclusters in case of domain decomposition |
| TBlockCluster | Representing a node in a block cluster tree as product of two clusters |
| TBlockClusterTree | Represents a block cluster tree |
| TBSPCTBuilder | Base class for all cluster tree constructors based on geometry data |
| data_t | Datatype for internal argument transfer |
| TOptClusterSize | Controls optimal cluster size per tree level |
| TBSPNDCTBuilder | Combines binary space partitioning with nested dissection based on connectivity defined by a sparse matrix |
| TBSPPartCTBuilder | Enhances BSP by allowing the user to define the first level of index partitioning by a given vector |
| TBSPPartStrat | Base class for partitioning strategies for geometrical BSP clustering |
| TGeomBSPPartStrat | Partition according to geometrical volume of index sets |
| TCardBSPPartStrat | Partition according to cardinality of index sets |
| TPCABSPPartStrat | Partition according to principle component analysis |
| TNDBSPPartStrat | Special partition strategy to optimized nested dissection clustering |
| TAutoBSPPartStrat | Automatic choice of best partitioning strategy |
| TCluster | Represents a node in a cluster tree with an arbitrary number of sons |
| TClusterBasis | Class representing a nested cluster basis |
| TDenseClusterBasisBuilder | Class for constructing cluster bases using dense matrices |
| THClusterBasisBuilder | Class for constructing cluster bases using H-matrices |
| TClusterTree | Represents a cluster tree with permutation of index sets |
| TDiGraph | Class for directed graph represented by adjacency matrix in sparse format (assuming sparse graph!) |
| TIterator | Iterator to predecessor/successor lists |
| TFVS | Uses a heuristic algorithm to compute feedback vertex set of a directed graph represented by a sparse matrix |
| TGeomCluster | Extend standard cluster by bounding box |
| TGraph | Class for a undirected graph stored as adjacency matrix in CRS representation |
| TIterator | Class for iterating through adjacent nodes |
| TEWGraph | Represents undirected graph with edge weights |
| TIndexSet | Represents an indexset with contigously numbered indices, defined by the first and last index in the set |
| TBlockIndexSet | Represents a product of two indexsets |
| TNodeSet | Represents a set of nodes by an array |
| TIterator | Class for iterating through node sets |
| TStdAdmCond | 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) |
| TWeakStdAdmCond | Combination of standard and weak admissibility |
| TClusterBasisIO | Base class for cluster basis input/output |
| THLibClusterBasisIO | Cluster basis I/O in HLIBpro file format |
| TClusterBasisVis | Base class for cluster basis visualisation |
| TPSClusterBasisVis | Cluster basis visualisation in PostScript format |
| TClusterVis | Base class for cluster tree visualisation |
| TBlockClusterVis | Base class for block cluster tree visualisation |
| TPSClusterVis | Cluster tree visualisation in PostScript format |
| TPSBlockClusterVis | Block cluster tree visualisation in PostScript format |
| TVRMLClusterVis | Cluster output in VRML format |
| TGVClusterVis | Cluster tree visualisation in GraphViz format |
| TGVBlockClusterVis | Block cluster tree visualisation in GraphViz format |
| TCoordIO | Base class for coordinate I/O defining interface |
| TAutoCoordIO | Class for coordinate I/O with file format detection |
| TSAMGCoordIO | Class for coordinate I/O in SAMG format |
| TMatlabCoordIO | Class for coordinate I/O in Matlab format |
| THLibCoordIO | Class for coordinate I/O in HLIB format |
| TMMCoordIO | Class for coordinate I/O in MatrixMarket format |
| TPLTMGCoordIO | Class for coordinate I/O in PLTMG format |
| TCoordVis | Base class for coordinate visualisation |
| TPSCoordVis | Coordinate visualisation in PostScript format |
| TVRMLCoordVis | Coordinate visualisation in VRML format |
| TVTKCoordVis | Coordinate visualisation in VTK format |
| TGridIO | Base class for reading grids |
| TAutoGridIO | Class for grid I/O with file format detection |
| THLibGridIO | Class for grid I/O in HLIB format |
| TPlyGridIO | Class for grid I/O in Ply format |
| TSurfMeshGridIO | Class for grid I/O in Surface Mesh format |
| TGMSHGridIO | Class for grid I/O in GMSH format |
| TGridVis | Base class for grid visualisation |
| TPSGridVis | Class for grid visualisation in PostScript format |
| TVRMLGridVis | Class for grid visualisation in VRML format |
| TVTKGridVis | Class for grid visualisation in VTK format |
| TMatrixIO | Base class for Matrix IO defining interface |
| TAutoMatrixIO | Class for matrix I/O with automatic file format detection |
| TOctaveMatrixIO | Class for matrix I/O in octave format |
| TSAMGMatrixIO | Class for matrix I/O in SAMG format |
| TMatlabMatrixIO | Class for matrix I/O in Matlab format |
| THLibMatrixIO | Class for matrix I/O in HLIB format |
| TPLTMGMatrixIO | Class for matrix I/O in PLTMG format |
| THBMatrixIO | Class for matrix I/O in Harwell-Boeing and Rutherford-Boeing format |
| TMMMatrixIO | Class for matrix I/O in MatrixMarket format |
| TMatrixVis | Base class for matrix visualisation |
| TPSMatrixVis | Implements PostScript based matrix visualisation |
| TVectorIO | Base class for vector IO defining interface |
| TAutoVectorIO | Class for vector I/O with automatic file format detection |
| TSAMGVectorIO | Class for vector I/O in SAMG format |
| TMatlabVectorIO | Class for vector I/O in Matlab format |
| THLibVectorIO | Class for vector I/O in HLIB format |
| THBVectorIO | Class for vector I/O in Harwell-Boeing and Rutherford-Boeing format |
| TMMVectorIO | Class for vector I/O in MatrixMarket format |
| TBlockMatrix | Class for a n×m block matrix of TMatrix sub matrices |
| TCoeffFn | Base class for returning coefficient for a given indexpair (i,j) in internal ordering |
| TPermCoeffFn | Eval coefficient function with reordered indices, e.g. change internal to external ordering |
| TCBCoeffFn | Eval real valued matrix coefficients with call-back function |
| TDenseMatrix | Represent a dense matrix |
| 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 |
| TH2Matrix | Class for an H²-matrix, which extends block matrices with additional functionality, e.g. permutations and uniform vectors |
| THMatrix | Class for an H²-matrix, which extends block matrices with additional functionality, e.g. permutations |
| TFacInvMatrix | Baseclass for representing the inverse of factorised matrices |
| TLUInvMatrix | Class for representing the inverse of a LU factored matrix |
| TLDUInvMatrix | Class for representing the inverse of a LDU factored matrix |
| TLDLInvMatrix | Class for representing the inverse of a LDL factored matrix |
| TLLInvMatrix | Class for representing the inverse of a Cholesky factored matrix |
| TFacMatrix | Baseclass for representing the factorised matrices |
| TLUMatrix | Special representation for evaluation of LU factored matrices |
| TLDUMatrix | Special representation for evaluation of LDU factored matrices |
| TLDLMatrix | Special representation for evaluation of LDL factored matrices |
| TLLMatrix | Special representation for evaluation of Cholesky factored matrices |
| TMatBuilder | Base class for building matrices implementing basic management and parallel construction |
| TSparseMBuilder | Creates matrices out of sparse matrices |
| TDenseMBuilder | Creates matrices by computing low rank approximations of dense sub matrices, e.g. via ACA or SVD |
| stat_t | Statistical data of computations |
| TH2MatBuilder | Base class for H² matrix builders providing leaf bulding function with corresponding cluster bases |
| TIdMatBuilder | Construct identity matrix for given block cluster trees |
| TMatrix | Base class for all matrices, defining basic properties, e.g. underlying block index and processor set |
| TMatrixHierarchy | Represents a level-wise hierarchy of matrices |
| TSparseBlockMatrix | Represents a n×m block matrix with only a small number of non-null sub matrices stored in an efficient way |
| TRkMatrix | Represents low rank matrices in factored form:  |
| TSparseMatrix | Class for a sparse matrix stored in compressed row storage format |
| TUniformMatrix | Represents low rank matrices as uniform matrix:  , where  and  are cluster bases and  holds the corresponding coefficients |
| TByteStream | Implements a stream of bytes for storage purposes |
| TCoordinate | Stores coordinate information for indices |
| TPermutation | Describes permutation of index sets |
| TProgressBar | Base class defining interface |
| TStreamProgressBar | Class for a progress bar using IO stream to print the progress |
| TCBProgressBar | Class for progress bar calling user defined call back function upon change in status |
| TDistrBC | Base class for all block cluster distribution methods |
| TCostFunc | Cost function for block clusters in load balancing |
| TBlockDistrBC | Class for block-wise block cluster tree distribution |
| TSFCDistrBC | Class for distributing block cluster trees using space filling curves |
| TTypedBC | Associate a blockcluster with a state |
| TMutex | Wraps OpenMP locks |
| TLockable | Base class for all mutex equipped classes |
| TScopedLock | Provides automatic lock and unlock for mutices |
| TProcSet | Describes a processor set of continuously numbered processors |
| TAutoSolver | Implements an iterative solver automatically choosing appropriate algorithm based on matrix criteria |
| TBiCGStab | Implements BiCG-Stab iteration |
| TCG | Implements conjugate gradient iteration |
| TGMRES | Implements GMRES iteration with restart |
| TMINRES | Implements the MINRES iteration |
| TSolver | Solver base class defining interface and implementing simple solver (Richardson iteration) |
| TInfo | Datatype to share iteration history |
| TBlockVector | Class for a blocked, scalar vector |
| TDistrScalarVec | Distributed scalar vector: only local part is stored |
| TScalarVector | Class for a scalar vector |
| TUniformBlockVector | Class for a uniform block vector, e.g. of uniform sub blocks |
| TUniformVector | Class for a uniform vector, e.g. represented as  with cluster basis and coefficients  |
| TVector | Base class for all vectors defining basic interface |
| TVirtualVector | A virtual vector gets his data from some real vector and behaves just like it, except memory-management |
| complex | Class for a complex numerical type |
| TChacoPartStrat | Graph partitioning using CHACO |
| TScotchPartStrat | Graph partitioning using Scotch |
