POISSON PRECONDITIONING FOR SELF-ADJOINT ELLIPTIC PROBLEMS
POISSON PRECONDITIONING FOR SELF-ADJOINT ELLIPTIC PROBLEMS作者机构:Department of Mathematical Sciences Tsinghua University Beijing 100084 China
出 版 物:《Journal of Computational Mathematics》 (计算数学(英文))
年 卷 期:2014年第32卷第5期
页 面:560-578页
核心收录:
学科分类:07[理学] 070104[理学-应用数学] 070102[理学-计算数学] 0701[理学-数学]
主 题:Fast Poisson solver Interface problem Self-adjoint elliptic problem Conjugategradient method.
摘 要:In this paper, we formulate interface problem and Neumann elliptic boundary value problem into a form of linear operator equations with self-adjoint positive definite op- erators. We prove that in the discrete level the condition number of these operators is independent of the mesh size. Therefore, given a prescribed error tolerance, the classical conjugate gradient algorithm converges within a fixed number of iterations. The main computation task at each iteration is to solve a Dirichlet Poisson boundary value problem in a rectangular domain, which can be furnished with fast Poisson solver. The overall computational complexity is essentially of linear scaling.