Adaptive sparse linear solvers for implicit CFD using Newton-Krylov algorithms

L. McInnes, B. Norris, S. Bhowmick, P. Raghavan

Research output: Chapter in Book/Report/Conference proceedingChapter

11 Scopus citations

Abstract

We consider the simulation of three-dimensional transonic Euler flow using pseudo-transient Newton-Krylov methods [8,9]. The main computation involves solving a large, sparse linear system at each Newton (nonlinear) iteration. We develop a technique for adaptively selecting the linear solver method to match better the numeric properties of the linear systems as they evolve during the course of the nonlinear iterations. We show how such adaptive methods can be implemented using advanced software environments, leading to significant improvements in simulation time.

Original languageEnglish (US)
Title of host publicationComputational Fluid and Solid Mechanics 2003
PublisherElsevier Inc.
Pages1024-1028
Number of pages5
ISBN (Electronic)9780080529479
ISBN (Print)9780080440460
DOIs
Publication statusPublished - Jun 2 2003

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Keywords

  • Large-scale CFD simulations
  • Multi-method linear solvers
  • Newton-Krylov methods
  • Pseudo-transient continuation
  • Sparse linear solution
  • Transonic Euler flow

ASJC Scopus subject areas

  • Engineering(all)

Cite this

McInnes, L., Norris, B., Bhowmick, S., & Raghavan, P. (2003). Adaptive sparse linear solvers for implicit CFD using Newton-Krylov algorithms. In Computational Fluid and Solid Mechanics 2003 (pp. 1024-1028). Elsevier Inc.. https://doi.org/10.1016/B978-008044046-0.50250-5