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A comparative study of preconditioned Lanczos methods for nonsymmetric linear system

Technical Report ·
OSTI ID:6885222
Many important scientific applications require the solution of very large and sparse nonsymmetric linear systems. Hence, there has been great interest in the development of robust and efficient solvers. In recent years, the class of Krylov subspace methods has emerged as the most popular iterative solution schemes. Coupled with effective preconditioning, these methods show fast convergence for many problems. However, these methods are not guranteed to converge, especially for many difficult problems that are strongly nonsymmetric, near singular and indefinite. In this report, we survey some recent developments of Krylov subspace methods which are based on the Lanczos procedure. These methods have been implemented and tested on a variety of problems. Extensive numerical results are presented and discussed.
Research Organization:
Sandia National Labs., Livermore, CA (United States)
Sponsoring Organization:
DOE; USDOE, Washington, DC (United States)
DOE Contract Number:
AC04-76DR00789
OSTI ID:
6885222
Report Number(s):
SAND-91-8240B; ON: DE93006453
Country of Publication:
United States
Language:
English