This website requires JavaScript.

Thick-restarted joint Lanczos bidiagonalization for the GSVD

Fernando AlvarruizCarmen CamposJose E. Roman
Jun 2022
摘要
The computation of the partial generalized singular value decomposition(GSVD) of large-scale matrix pairs can be approached by means of iterativemethods based on expanding subspaces, particularly Krylov subspaces. Weconsider the joint Lanczos bidiagonalization method, and analyze thefeasibility of adapting the thick restart technique that is being usedsuccessfully in the context of other linear algebra problems. Numericalexperiments illustrate the effectiveness of the proposed method. We alsocompare the new method with an alternative solution via equivalent eigenvalueproblems, considering accuracy as well as computational performance. Theanalysis is done using a parallel implementation in the SLEPc library.
展开全部
图表提取

暂无人提供速读十问回答

论文十问由沈向洋博士提出,鼓励大家带着这十个问题去阅读论文,用有用的信息构建认知模型。写出自己的十问回答,还有机会在当前页面展示哦。

Q1论文试图解决什么问题?
Q2这是否是一个新的问题?
Q3这篇文章要验证一个什么科学假设?
0
被引用
笔记
问答