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Gérard Meurant Error Norm Estimation in the Conjugate G (Paperback) (UK IMPORT)
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US $66.26
ApproximatelyRM 279.78
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eBay item number:136423770934
Item specifics
- Condition
- Brand New: A new, unread, unused book in perfect condition with no missing or damaged pages. See all condition definitionsopens in a new window or tab
- Book Title
- Error Norm Estimation in the Conjugate Gradient Algorithm
- Title
- Error Norm Estimation in the Conjugate Gradient Algorithm
- EAN
- 9781611977851
- ISBN
- 9781611977851
- Genre
- Science Nature & Math
- Topic
- Technology & Engineering
- Release Year
- 2024
- Release Date
- 02/29/2024
- Country/Region of Manufacture
- US
About this product
Product Identifiers
Publisher
Society for Industrial AND Applied Mathematics
ISBN-10
1611977851
ISBN-13
9781611977851
eBay Product ID (ePID)
18064414609
Product Key Features
Number of Pages
127 Pages
Publication Name
Error Norm Estimation in the Conjugate Gradient Algorithm
Language
English
Publication Year
2024
Subject
General
Type
Textbook
Subject Area
Mathematics
Series
Siam Spotlights Ser.
Format
Trade Paperback
Dimensions
Item Height
0.4 in
Item Weight
11.3 Oz
Item Length
10 in
Item Width
6.7 in
Additional Product Features
Intended Audience
Scholarly & Professional
LCCN
2023-048404
Dewey Edition
23/eng/20231120
Series Volume Number
6
Dewey Decimal
511/.8
Synopsis
The conjugate gradient (CG) algorithm is almost always the iterative method of choice for solving linear systems with symmetric positive definite matrices. This book describes and analyses techniques based on Gauss quadrature rules to cheaply compute bounds on norms of the error. The techniques can be used to derive reliable stopping criteria., The conjugate gradient (CG) algorithm is almost always the iterative method of choice for solving linear systems with symmetric positive definite matrices. This book describes and analyzes techniques based on Gauss quadrature rules to cheaply compute bounds on norms of the error. The techniques can be used to derive reliable stopping criteria. Computation of estimates of the smallest and largest eigenvalues during CG iterations is also shown. The algorithms are illustrated by many numerical experiments, and they can be easily incorporated into existing CG codes.
LC Classification Number
QA218.M479 2024
Item description from the seller
Seller business information
VAT number: GB 864154811
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