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Can I read ARPACK user's guide : solution of large-scale eigenvalue problems with implicitly restarted Arnoldi methods on EtoBox?
ARPACK user's guide : solution of large-scale eigenvalue problems with implicitly restarted Arnoldi methods by Richard B. Lehoucq, Danny C. Sorensen, Chao Yang is a nonfiction available to read on EtoBox.
What is ARPACK user's guide : solution of large-scale eigenvalue problems with implicitly restarted Arnoldi methods about?
This book is 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, installation, capabilities, and detailed use of the software for computing a desired subset of the eigenvalues and eigenvectors of large (sparse) standard or generalized eigenproblems. It also discusses the underlying theory and algorithmic background at a level that is accessible to the general practitioner
Who reads ARPACK user's guide : solution of large-scale eigenvalue problems with implicitly restarted Arnoldi methods?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Richard B. Lehoucq, Danny C. Sorensen, Chao Yang
- Publisher
- Society for Industrial and Applied Mathematics (SIAM, 3600 Market Street, Floor 6, Philadelphia, PA 19104)
- Published
- 1998
- Language
- EN
- ISBN
- 9780898719628
- Category
- nonfiction
- Subjects
- Mathematics, Stem
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