KryPy: Krylov subspace methods package for Python. KryPy is a Python (versions 2 and 3) module for Krylov subspace methods for the solution of linear algebraic systems. This includes enhanced versions of CG, MINRES and GMRES as well as methods for the efficient solution of sequences of linear systems.
Keywords for this software
References in zbMATH (referenced in 6 articles , 1 standard article )
Showing results 1 to 6 of 6.
- Altmann, Robert; Heiland, J.: Continuous, semi-discrete, and fully discretised Navier-Stokes equations (2019)
- Wouters, Michiel; Vanroose, Wim: Automatic exploration techniques of numerical bifurcation diagrams illustrated by the Ginzburg-Landau equation (2019)
- Mercier, Sylvain; Gratton, Serge; Tardieu, Nicolas; Vasseur, Xavier: A new preconditioner update strategy for the solution of sequences of linear systems in structural mechanics: application to saddle point problems in elasticity (2017)
- Gratton, Serge; Mercier, Sylvain; Tardieu, Nicolas; Vasseur, Xavier: Limited memory preconditioners for symmetric indefinite problems with application to structural mechanics. (2016)
- Altmann, R.; Heiland, J.: Finite element decomposition and minimal extension for flow equations (2015)
- Gaul, André; Schlömer, Nico: Preconditioned recycling Krylov subspace methods for self-adjoint problems (2015)