
hlib
 Referenced in 69 articles
[sw04080]
 HLib is a library for hierarchical matrices that was written by Lars Grasedyck and Steffen...

STRUMPACK
 Referenced in 32 articles
[sw17483]
 STRUMPACK  STRUctured Matrices PACKage  Fast linear solvers and preconditioner for both dense and sparse systems ... moment STRUMPACK uses Hierarchically SemiSeparable (HSS) matrices. The software is written in C++ using...

HLIBpro
 Referenced in 9 articles
[sw04079]
 software library implementing algorithms for Hierarchical matrices, or Hmatrices. It is freely available...

AHMED
 Referenced in 6 articles
[sw20710]
 Another software library on hierarchical matrices for elliptic differential equations (AHMED). This C++ software library ... implements the structure of hierarchical matrices for the efficient treatment of discrete solution operators...

H2Lib
 Referenced in 7 articles
[sw32778]
 open source software library for hierarchical matrices and H²matrices that is being developed...

TRIC
 Referenced in 47 articles
[sw02165]
 geometrical matrices are all explicitly derived. The kinematics of the element are hierarchically decomposed into...

SuperMatrix
 Referenced in 6 articles
[sw20213]
 programmer. The key insight entails viewing matrices hierarchically, consisting of blocks that serve as units...

FLAM
 Referenced in 3 articles
[sw33776]
 Linear Algebra in MATLAB): Algorithms for Hierarchical Matrices. This MATLAB (and Octavecompatible) library implements ... fast algorithms for certain classes of matrices with hierarchical lowrank block structure. Such matrices...

Hmtoolbox
 Referenced in 4 articles
[sw32776]
 software for HODLR and HSS matrices. Matrices with hierarchical lowrank structure, including HODLR ... tools for HODLR and HSS matrices, unmatched by existing software. While mostly based on algorithms ... maintains the favorable complexity of hierarchical lowrank matrices and offers, at the same time...

hmglib
 Referenced in 1 article
[sw32904]
 hmglib  Hierarchical matrices on GPU(s) library. This library provides an entirely GPUbased implementation ... hierarchical (H) matrix approach. H matrices approximate specific dense matrices, e.g., from discretized integral equations...

STARSH
 Referenced in 1 article
[sw30066]
 compressions and computations (including itself). Why hierarchical matrices? Because such matrices arise in many PDEs ... fewer flops for computations. There are several hierarchical data formats, each one with...

HASP
 Referenced in 4 articles
[sw23782]
 computational results for the hierarchical algorithm for making sparse matrices sparser ... pass approach to solve SP called the Hierarchical Algorithm. In this paper we report...

HLIBCov
 Referenced in 3 articles
[sw22365]
 HLIBCov: Parallel Hierarchical Matrix Approximation of Large Covariance Matrices and Likelihoods with Applications in Parameter...

PHDC
 Referenced in 1 article
[sw18388]
 based on ScaLAPACK and the hierarchically semiseparable (HSS) matrices. HSS is an important type...

ClustGeo
 Referenced in 4 articles
[sw20893]
 Wardlike hierarchical clustering algorithm including spatial/geographical constraints. Two dissimilarity matrices...

hcluster
 Referenced in 1 article
[sw24513]
 clustering. Its features include: generating hierarchical clusters from distance matrices; computing distance matrices from observation...

gRbase
 Referenced in 12 articles
[sw10198]
 based mainly on representing graphs as adjacency matrices  either in the form of a standard ... testing for conditional independence. gRbase illustrates how hierarchical loglinear models (hllm) may be implemented...

GOFMM
 Referenced in 1 article
[sw38979]
 Matrices. We present GOFMM (geometryoblivious FMM), a novel method that creates a hierarchical ... introduce a sharedmemory parallel scheme for hierarchical matrix computations that reduces synchronization barriers ... NVIDIA Pascal architecture for a variety of matrices. HMLP (High Performance Machine Learning Primitives...

BiGGEsTS
 Referenced in 2 articles
[sw23417]
 particular kind of data. Visualization includes colored matrices, expression evolution charts and pattern charts ... derived from the results obtained by applying hierarchical clustering algorithms on the gene expression data...

PyPortfolioOpt
 Referenced in 1 article
[sw38785]
 Hierarchical Risk Parity, along with some novel experimental features like exponentiallyweighted covariance matrices...