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Title: ODE recursions and iterative solvers for linear equations

Journal Article · · SIAM Journal on Scientific Computing
DOI:https://doi.org/10.1137/0917006· OSTI ID:218522
;  [1];  [2]
  1. Univ. of Texas, Austin, TX (United States)
  2. Los Alamos National Lab., NM (United States)

Timestepping to a steady-state solution is increasingly applied in engineering and scientific applications as a means for solving equilibrium problems. In the present work the authors examine the relation between the recursion in timestepping algorithms for semidiscrete systems of ODEs and certain types of iterative methods for solving discretized systems of equilibrium PDEs. They consider, in particular, the possibility of accelerating the ODE approach using recursions that are not time accurate together with parameter selection based on the theory of iterative methods. As one example, they take the parameters arising from the Chebyshev-type iterative methods and use them in a two-stage Runge-Kutta scheme. A comparison study for a representative steady-state diffusion problem indicates a dramatic improvement in convergence and efficiency. The authors remark that this approach can be trivially incorporated into existing time-integration codes to significant advantage. This yields a hybrid adaptive approach in a single code.

Sponsoring Organization:
USDOE
DOE Contract Number:
FG03-93ER25183; W-7405-ENG-36
OSTI ID:
218522
Journal Information:
SIAM Journal on Scientific Computing, Vol. 17, Issue 1; Other Information: PBD: Jan 1996
Country of Publication:
United States
Language:
English