PyAMG

PyAMG is a library of Algebraic Multigrid (AMG) solvers with a convenient Python interface.

Keywords for this software

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References in zbMATH (referenced in 37 articles , 1 standard article )

Showing results 1 to 20 of 37.
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  1. Nathan Bell, Luke N. Olson, Jacob Schroder: PyAMG: Algebraic Multigrid Solvers in Python (2022) not zbMATH
  2. Wang, Hengjie; Planas, Robert; Chandramowlishwaran, Aparna; Bostanabad, Ramin: Mosaic flows: a transferable deep learning framework for solving PDEs on unseen domains (2022)
  3. Chen, Chao; Liang, Tianyu; Biros, George: \textttrchol: randomized Cholesky factorization for solving SDD linear systems (2021)
  4. Kirby, Robert C.; Klöckner, Andreas; Sepanski, Ben: Finite elements for Helmholtz equations with a nonlocal boundary condition (2021)
  5. Agullo, Emmanuel; Cools, Siegfried; Yetkin, Emrullah Fatih; Giraud, Luc; Schenkels, Nick; Vanroose, Wim: On soft errors in the conjugate gradient method: sensitivity and robust numerical detection (2020)
  6. Evgrafov, Anton; Bellido, José C.: Nonlocal control in the conduction coefficients: well-posedness and convergence to the local limit (2020)
  7. Katrutsa, Alexandr; Daulbaev, Talgat; Oseledets, Ivan: Black-box learning of multigrid parameters (2020)
  8. Moscovich, Amit; Halevi, Amit; Andén, Joakim; Singer, Amit: Cryo-EM reconstruction of continuous heterogeneity by Laplacian spectral volumes (2020)
  9. Pazner, Will: Efficient low-order refined preconditioners for high-order matrix-free continuous and discontinuous Galerkin methods (2020)
  10. Thomas Germer, Tobias Uelwer, Stefan Conrad, Stefan Harmeling: PyMatting: A Python Library for Alpha Matting (2020) arXiv
  11. Tom Gustafsson; G. D. McBain: scikit-fem: A Python package for finite element assembly (2020) not zbMATH
  12. Alger, Nick; Rao, Vishwas; Myers, Aaron; Bui-Thanh, Tan; Ghattas, Omar: Scalable Matrix-free adaptive product-convolution approximation for locally translation-invariant operators (2019)
  13. Kraus, Johannes; Pfeiler, Carl-Martin; Praetorius, Dirk; Ruggeri, Michele; Stiftner, Bernhard: Iterative solution and preconditioning for the tangent plane scheme in computational micromagnetics (2019)
  14. Manteuffel, Thomas A.; MüNzenmaier, Steffen; Ruge, John; Southworth, Ben: Nonsymmetric reduction-based algebraic multigrid (2019)
  15. Paludetto Magri, Victor A.; Franceschini, Andrea; Janna, Carlo: A novel algebraic multigrid approach based on adaptive smoothing and prolongation for ill-conditioned systems (2019)
  16. Beams, Natalie N.; Klöckner, Andreas; Olson, Luke N.: High-order finite element-integral equation coupling on embedded meshes (2018)
  17. Manteuffel, Thomas A.; Ruge, John; Southworth, Ben S.: Nonsymmetric algebraic multigrid based on local approximate ideal restriction ((\ell)AIR) (2018)
  18. Alger, Nick; Villa, Umberto; Bui-Thanh, Tan; Ghattas, Omar: A data scalable augmented Lagrangian KKT preconditioner for large-scale inverse problems (2017)
  19. Bakhos, Tania; Kitanidis, Peter K.; Ladenheim, Scott; Saibaba, Arvind K.; Szyld, Daniel B.: Multipreconditioned GMRES for shifted systems (2017)
  20. Manteuffel, Thomas A.; Olson, Luke N.; Schroder, Jacob B.; Southworth, Ben S.: A root-node-based algebraic multigrid method (2017)

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