STRUMPACK

STRUMPACK - STRUctured Matrices PACKage - Fast linear solvers and preconditioner for both dense and sparse systems using low-rank structured factorization with randomized sampling. At the moment STRUMPACK uses Hierarchically Semi-Separable (HSS) matrices. The software is written in C++ using OpenMP and MPI parallelism and is released under a BSD-style license.

Keywords for this software

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References in zbMATH (referenced in 41 articles )

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  1. Bonev, Boris; Hesthaven, Jan S.: A hierarchical preconditioner for wave problems in quasilinear complexity (2022)
  2. Gnanasekaran, Abeynaya; Darve, Eric: Hierarchical orthogonal factorization: sparse square matrices (2022)
  3. Slavchev, Dimitar; Margenov, Svetozar: Performance study of hierarchical semi-separable compression solver for parabolic problems with space-fractional diffusion (2022)
  4. Yan, Xiaokuai; He, Qinglong; Wang, Yanfei: Truncated trust region method for nonlinear inverse problems and application in full-waveform inversion (2022)
  5. Anderson, Robert; Andrej, Julian; Barker, Andrew; Bramwell, Jamie; Camier, Jean-Sylvain; Cerveny, Jakub; Dobrev, Veselin; Dudouit, Yohann; Fisher, Aaron; Kolev, Tzanio; Pazner, Will; Stowell, Mark; Tomov, Vladimir; Akkerman, Ido; Dahm, Johann; Medina, David; Zampini, Stefano: MFEM: a modular finite element methods library (2021)
  6. Bertoluzza, Silvia; Perugia, Ilaria; Prada, Daniele: A (p)-robust polygonal discontinuous Galerkin method with minus one stabilization (2021)
  7. Bertoluzza, Silvia; Prada, Daniele: A polygonal discontinuous Galerkin method with minus one stabilization (2021)
  8. Cai, Difeng; Xia, Jianlin: A stable matrix version of the fast multipole method: stabilization strategies and examples (2021)
  9. Chen, Chao; Reiz, Severin; Yu, Chenhan D.; Bungartz, Hans-Joachim; Biros, George: Fast approximation of the Gauss-Newton Hessian matrix for the multilayer perceptron (2021)
  10. Ryan, John P.; Damle, Anil: Parallel skeletonization for integral equations in evolving multiply-connected domains (2021)
  11. Xia, Jianlin: Robust and effective eSIF preconditioning for general dense SPD matrices (2021)
  12. Xing, Xin; Huang, Hua; Chow, Edmond: Efficient construction of an HSS preconditioner for symmetric positive definite (\mathcalH^2) matrices (2021)
  13. Zheng, Qingqing; Xi, Yuanzhe; Saad, Yousef: A power Schur complement low-rank correction preconditioner for general sparse linear systems (2021)
  14. Beams, Natalie N.; Gillman, Adrianna; Hewett, Russell J.: A parallel shared-memory implementation of a high-order accurate solution technique for variable coefficient Helmholtz problems (2020)
  15. Bin Zubair Syed, H.; Farquharson, C.; MacLachlan, S.: Block preconditioning techniques for geophysical electromagnetics (2020)
  16. Cambier, Léopold; Chen, Chao; Boman, Erik G.; Rajamanickam, Sivasankaran; Tuminaro, Raymond S.; Darve, Eric: An algebraic sparsified nested dissection algorithm using low-rank approximations (2020)
  17. He, Qinglong; Wang, Yanfei: Inexact Newton-type methods based on Lanczos orthonormal method and application for full waveform inversion (2020)
  18. Kenneth L. Ho: FLAM: Fast Linear Algebra in MATLAB - Algorithms for Hierarchical Matrices (2020) not zbMATH
  19. Massei, Stefano; Robol, Leonardo; Kressner, Daniel: Hm-toolbox: MATLAB software for HODLR and HSS matrices (2020)
  20. Slavchev, Dimitar: On the impact of reordering in a hierarchical semi-separable compression solver for fractional diffusion problems (2020)

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