Step-by-step guide to ARPACK software: Enables users to acquire, install, and effectively utilize ARPACK for eigenvalue problems
Detailed explanation of implicitly restarted Arnoldi methods: Deepens understanding of the underlying algorithms for large-scale eigenanalysis
Coverage of standard and generalized eigenvalue problems: Expands applicability to a wide range of scientific and engineering problems
Treatment of non-Hermitian problems: Offers specialized guidance for challenging eigenvalue scenarios
Descriptions of driver routines and templates: Facilitates integration of ARPACK into various applications
Summarized by Shop
A guide to understanding and using the software package ARPACK to solve large algebraic eigenvalue problems. The software described is based on the implicitly restarted Arnoldi method, which has been heralded as one of the three most important advances in large scale eigenanalysis in the past ten years. The book explains the acquisition,
