Feature-modified Algorithm Framework for Parallel Preconditioning in Sparse Linear Solvers
To address the high computational complexity of sparse linear solvers caused by complex physical characteristics in practical applications,this paper presents a unified framework for feature-modified preconditioning algorithms.By refining the algebraic features affecting the efficiency from physical characteristics and combining multilevel feature analysis,we construct feature-modified components.The effectiveness of this framework is demonstrated through several typical feature-modified preconditioning algorithms and their application results.
sparse linear algebraic equationsfeature-modifiediterative methodspreconditioning algorithmsparallel algorithms
万方数据
维普
