• NITSOL

  • Referenced in 71 articles [sw00623]
  • obtained using one of several Krylov subspace methods. The algorithm is implemented in a Fortran...
  • QMRPACK

  • Referenced in 73 articles [sw00754]
  • minimal residual (QMR) algorithm is a Krylov-subspace method for the iterative solution of large...
  • Expokit

  • Referenced in 103 articles [sw00258]
  • routines consists of matrix-free Krylov subspace projection methods (Arnoldi and Lanczos processes), and that...
  • BILUM

  • Referenced in 47 articles [sw04015]
  • general sparse linear systems by using Krylov subspace methods preconditioned by some multi-level block...
  • HSL_MI20

  • Referenced in 33 articles [sw07246]
  • most effective iterative methods for the solution of large, sparse linear systems obtained from ... used as a preconditioner for Krylov subspace methods. In this communication, we report ... enhance the performance of an AMG-preconditioned Krylov solver. This is illustrated using a number...
  • CMRH

  • Referenced in 15 articles [sw02194]
  • basis vectors for the Krylov subspace. The GMRES method uses the Arnoldi process while ... Krylov subspace. In this paper we give a new method similar to QMR but based...
  • DGMRES

  • Referenced in 11 articles [sw02839]
  • Linear Algebra Appl. 298 (1999) 99] Krylov subspace methods were derived for Drazin-inverse solution...
  • GCROT

  • Referenced in 7 articles [sw08876]
  • efficient compared with several popular truncated Krylov subspace methods. Finally, a flexible version of LGMRES...
  • AFMPB

  • Referenced in 5 articles [sw08875]
  • fast multipole method with the Krylov subspace methods, which are applied to solve a well...
  • QDPA

  • Referenced in 5 articles [sw12759]
  • improve reduced-order models computed by Krylov subspace methods, as is illustrated by numerical results...
  • EIGIFP

  • Referenced in 8 articles [sw00235]
  • inverse free preconditioned Krylov subspace projection method developed by Golub...
  • na26

  • Referenced in 16 articles [sw11493]
  • methods based on augmentation of Ritz vectors or harmonic Ritz vectors by block Krylov subspaces...
  • Dirac_Laczos

  • Referenced in 2 articles [sw16747]
  • Krylov subspace methods for the Dirac equation. The Lanczos algorithm is evaluated for solving...
  • KryPy

  • Referenced in 1 article [sw13714]
  • KryPy: Krylov subspace methods package for Python. KryPy is a Python (versions ... module for Krylov subspace methods for the solution of linear algebraic systems. This includes enhanced...
  • ROWMAP

  • Referenced in 40 articles [sw09627]
  • methods of the code ROS4 of Hairer and Wanner and uses Krylov techniques ... fairly low dimensions of the Krylov subspaces independently of the dimension of the differential equations...
  • expmARPACK

  • Referenced in 1 article [sw13396]
  • numerical linear algebra algorithms, such as Krylov subspace methods. In this note we discuss exponential ... Krylov subspace time integration methods and provide a simple guide on how to use these ... conductivity terms). Efficient techniques such as the Krylov shift-and-invert method and residual-based...
  • BoRiS

  • Referenced in 2 articles [sw06562]
  • equations. Different iterative solvers (Krylov subspace projection methods including matrix-free variants) and preconditioners...
  • pyCTQW

  • Referenced in 1 article [sw16801]
  • Fortran interfaces of pyCTQW, discuss various numerical methods of calculating the matrix exponential, and demonstrate ... cluster. In particular, the Chebyshev and Krylov-subspace methods for calculating the quantum walk propagation...
  • Online-ABFT

  • Referenced in 2 articles [sw17489]
  • scheme for soft error detection in iterative methods. Soft errors are one-time events that ... errors in the widely used Krylov subspace iterative methods in the middle of the program...
  • GKB-FP

  • Referenced in 7 articles [sw02082]
  • with Tikhonov regularization in the generated Krylov subspace. The regularization parameter for the projected problem ... chosen by the fixed-point method already presented by the first author. A detailed convergence...