skip to main content
OSTI.GOV title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Newton-Krylov-Schwarz algorithms for the 2D full potential equation

Conference ·
OSTI ID:440679
 [1];  [2];  [3]
  1. Univ. of Colorado, Boulder, CO (United States)
  2. Argonne National Lab., IL (United States)
  3. Old Dominion Univ. Norfolk, VA (United States); and others

We study parallel two-level overlapping Schwarz algorithms for solving nonlinear finite element problems, in particular, for the full potential equation of aerodynamics discretized in two dimensions with bilinear elements. The main algorithm, Newton-Krylov-Schwarz (NKS), employs an inexact finite-difference Newton method and a Krylov space iterative method, with a two-level overlapping Schwarz method as a preconditioner. We demonstrate that NKS, combined with a density upwinding continuation strategy for problems with weak shocks, can be made robust for this class of mixed elliptic-hyperbolic nonlinear partial differential equations, with proper specification of several parameters. We study upwinding parameters, inner convergence tolerance, coarse grid density, subdomain overlap, and the level of fill-in in the incomplete factorization, and report favorable choices for numerical convergence rate and overall execution time on a distributed-memory parallel computer.

Research Organization:
Front Range Scientific Computations, Inc., Lakewood, CO (United States)
DOE Contract Number:
W-31109-ENG-38
OSTI ID:
440679
Report Number(s):
CONF-9604167-Vol.2; ON: DE96015307; CNN: Grant ASC-9457534; Grant ASC-9217394; Grant ECS-9527169; Grant NAG5-2218; Contract NAS1-19480; Grant ECS-8957475; TRN: 97:000721-0001
Resource Relation:
Conference: Copper Mountain conference on iterative methods, Copper Mountain, CO (United States), 9-13 Apr 1996; Other Information: PBD: [1996]; Related Information: Is Part Of Copper Mountain conference on iterative methods: Proceedings: Volume 2; PB: 242 p.
Country of Publication:
United States
Language:
English