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Time integration and conjugate gradient methods for the incompressible Navier-Stokes equations

Conference ·
OSTI ID:5868890

This paper addresses one class of iterative methods that are promising for cost effective Navier-Stokes simulations. The approach is based on the conjugate gradient (CG) method for solving linear algebraic systems with a symmetric positive-definite (SPD) matrix. These methods have many important characteristics: monotone convergence (in an appropriate error norm), optimal error minimization, finite termination, the direct exploitation of sparseness in the matrix, and no need to estimate ''iteration parameters.'' 46 refs., 1 tab. (DWL)

Research Organization:
Lawrence Livermore National Lab., CA (USA)
DOE Contract Number:
W-7405-ENG-48
OSTI ID:
5868890
Report Number(s):
UCRL-94000; CONF-860681-1; ON: DE86007177
Country of Publication:
United States
Language:
English