SMASH: Structured matrix approximation by separation and hierarchy
From MaRDI portal
Publication:3120352
DOI10.1002/nla.2204OpenAlexW2962745910MaRDI QIDQ3120352
Lucas Erlandson, Yousef Saad, Edmond Chow, Yuanzhe Xi, Difeng Cai
Publication date: 1 March 2019
Published in: Numerical Linear Algebra with Applications (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1705.05443
Factorization of matrices (15A23) Numerical linear algebra (65F99) Toeplitz, Cauchy, and related matrices (15B05)
Related Items
Physics-informed distribution transformers via molecular dynamics and deep neural networks ⋮ Fast Deterministic Approximation of Symmetric Indefinite Kernel Matrices with High Dimensional Datasets ⋮ Fast Computation of Spectral Densities for Generalized Eigenvalue Problems ⋮ Learning Optimal Multigrid Smoothers via Neural Networks ⋮ Conditional deep learning approach for the Helsinki Deblur Challenge 2021 ⋮ An explicitly-sparse representation for oscillatory kernels with wave atom-like functions ⋮ Hierarchical matrix approximations for space-fractional diffusion equations ⋮ Preserving Positive Definiteness in Hierarchically Semiseparable Matrix Approximations ⋮ A Low-Rank Technique for Computing the Quasi-Stationary Distribution of Subcritical Galton--Watson Processes ⋮ Interpolative Decomposition via Proxy Points for Kernel Matrices ⋮ A stable matrix version of the fast multipole method: stabilization strategies and examples ⋮ A Power Schur Complement Low-Rank Correction Preconditioner for General Sparse Linear Systems ⋮ Single-pass randomized QLP decomposition for low-rank approximation