On the iterative algorithm for large sparse saddle point problems

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摘要

In this paper, we discuss some iterated method for solving the saddle point problem. We propose some new schemes and prove its convergence. The method has weaker convergence condition than the classic Uzawa method. The analysis is supported by numerical experiments.

论文关键词:Saddle point problem,Iterative algorithm,Spectral radius,Convergence condition,Parameter

论文评审过程:Available online 28 December 2005.

论文官网地址:https://doi.org/10.1016/j.amc.2005.11.052