The phrase "a preconditioner for solving" is correct and usable in written English.
It can be used in mathematical or computational contexts, particularly in discussions about algorithms or numerical methods.
Example: "The algorithm employs a preconditioner for solving large linear systems efficiently."
Alternatives: "a tool for addressing" or "a method for resolving".
We investigate the use of sparse approximate inverse techniques (SAI) in a grid based multilevel ILU preconditioner (GILUM) to design a robust and parallelizable preconditioner for solving general sparse matrices.
We investigate the use of sparse approximate inverse techniques in a multilevel block ILU preconditioner to design a robust and efficient parallelizable preconditioner for solving general sparse matrices.
The main purpose of this study is to evaluate the efficiency of a class of incomplete LU (ILU) factorization preconditioners for solving this type of matrices.
We investigate preconditioners for solving steady or implicit-unsteady arbitrary-Lagrangian Eulerian moving-mesh formularbitrary-Lagrangian Eulerian-surface and interfacial flow problems.
In this paper, some Chebyshev-type methods with the third order convergence are analyzed in detail and used to compute approximate inverse preconditioners for solving the linear system Ax = b.
For the linearized von Kármán equation, we present preconditioners using both Fourier analysis and probing techniques for the interface systems, which are similar to those derived by Chan et al. Finally, we compare the efficiency of various domain decomposition preconditioners for solving the von Kármán equations.
In this paper, we present a new second order primitive preconditioner technique for solving all speed multi-phase flow problems.
We design a grid-based multilevel incomplete LU preconditioner (GILUM) for solving general sparse matrices.
The family of preconditioners designed for solving the linear problems that appear at each time iteration greatly improves convergence and significantly reduces the CPU time needed to solve them.
