Numerical Methods for General and Structured Eigenvalue Problems - Info and Reading Options
By Daniel Kressner
"Numerical Methods for General and Structured Eigenvalue Problems" is published by Springer in Jan 20, 2006 - Berlin, Heidelberg, the book is classified in Mathematics genre, it has 258 pages and the language of the book is English.
“Numerical Methods for General and Structured Eigenvalue Problems” Metadata:
- Title: ➤ Numerical Methods for General and Structured Eigenvalue Problems
- Author: Daniel Kressner
- Language: English
- Number of Pages: 258
- Is Family Friendly: Yes - No Mature Content
- Publisher: Springer
- Publish Date: Jan 20, 2006
- Publish Location: Berlin, Heidelberg
- Genres: Mathematics
“Numerical Methods for General and Structured Eigenvalue Problems” Subjects and Themes:
- Subjects: ➤ Eigenvalues - Mathematics - System theory - Computer science - Computational Mathematics and Numerical Analysis - Control Systems Theory - Computational Science and Engineering
Edition Identifiers:
- Google Books ID: j7kTw0wP8eIC
- The Open Library ID: OL26738998M - OL19079711W
- ISBN-13: 9783540285021
- ISBN-10: 3540285024
- All ISBNs: 3540285024 - 9783540285021
AI-generated Review of “Numerical Methods for General and Structured Eigenvalue Problems”:
Snippets and Summary:
The purpose of this book is to describe recent developments in solving eig- value problems, in particular with respect to the QR and QZ algorithms as well as structured matrices.
"Numerical Methods for General and Structured Eigenvalue Problems" Description:
Google Books:
This book is about computing eigenvalues, eigenvectors, and invariant subspaces of matrices. Treatment includes generalized and structured eigenvalue problems and all vital aspects of eigenvalue computations. A unique feature is the detailed treatment of structured eigenvalue problems, providing insight on accuracy and efficiency gains to be expected from algorithms that take the structure of a matrix into account.
Open Data:
This book is about computing eigenvalues, eigenvectors and invariant subspaces of matrices. The treatment includes generalized and structured eigenvalue problems, such as Hamiltonian or product eigenvalue problems. All vital aspects of eigenvalue computations are covered: theory, perturbation analysis, algorithms, high performance methodologies and software. The reader will learn about recently developed techniques which substantially improve the performance of some of the most widely numerical methods, the QR and the QZ algorithm as well as Krylov subspace methods. A unique feature of this book is the detailed treatment of structured eigenvalue problems, providing insight on accuracy and efficiency gains to be expected from algorithms that take the structure of a matrix into account
Read “Numerical Methods for General and Structured Eigenvalue Problems”:
Read “Numerical Methods for General and Structured Eigenvalue Problems” by choosing from the options below.
Explore a Free Online Preview of “Numerical Methods for General and Structured Eigenvalue Problems”:
Visit our Preview page to read a free online excerpt provided by Google Books. Click the icon below to begin:
- Public Domain: No
- Availability Status: Partially available
- Availability Status for country: US.
- Available Formats: Text is not avialbe, image copy is available.
- Google Books Link: Google Books
Search for “Numerical Methods for General and Structured Eigenvalue Problems” downloads:
Visit our Downloads Search page to see if downloads are available.
Find “Numerical Methods for General and Structured Eigenvalue Problems” in Libraries Near You:
Read or borrow “Numerical Methods for General and Structured Eigenvalue Problems” from your local library.
- The WorldCat Libraries Catalog: Find a copy of “Numerical Methods for General and Structured Eigenvalue Problems” at a library near you.
Buy “Numerical Methods for General and Structured Eigenvalue Problems” online:
Shop for “Numerical Methods for General and Structured Eigenvalue Problems” on popular online marketplaces.
- Ebay: New and used books.