Description
This work provides a comprehensive extension to the well-established EISPACK package, focusing on matrix eigensystem routines. It delves into advanced computational techniques and algorithms that are crucial for solving eigenvalue problems, particularly in large-scale applications.
Readers will find detailed explanations and examples that illustrate the implementation of the routines, offering insights into their effectiveness and efficiency. The authors bring a wealth of knowledge, drawing from their extensive experience in numerical analysis and scientific computing.
By enhancing the original EISPACK documentation with new content, this guide serves as an essential resource for researchers and practitioners looking to deepen their understanding of eigensystem computations and optimize their applications in various fields.
Readers will find detailed explanations and examples that illustrate the implementation of the routines, offering insights into their effectiveness and efficiency. The authors bring a wealth of knowledge, drawing from their extensive experience in numerical analysis and scientific computing.
By enhancing the original EISPACK documentation with new content, this guide serves as an essential resource for researchers and practitioners looking to deepen their understanding of eigensystem computations and optimize their applications in various fields.
Book Details
Format
Paperback
Pages
356 pages
Language
English
Published
Jul 1, 1977
Publisher
Springer
Editions
2 editions
ISBN-10
3540082549
ISBN-13
9783540082545