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Algorithms for Large Scale Linear Algebraic Systems:: Applications in Science an

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Specificaties

Objectstaat
Nieuw: Een nieuw, ongelezen en ongebruikt boek in perfecte staat waarin geen bladzijden ontbreken of ...
ISBN-13
9789048150045
Book Title
Algorithms for Large Scale Linear Algebraic Systems:
ISBN
9789048150045
Subject Area
Computers, Mathematics
Publication Name
Algorithms for Large Scale Linear Algebraic Systems : Applications in Science and Engineering
Publisher
Springer Netherlands
Item Length
9.4 in
Subject
Programming / Algorithms, Numerical Analysis, General, Algebra / General
Publication Year
2010
Series
NATO Science Series C: Ser.
Type
Textbook
Format
Trade Paperback
Language
English
Author
E. Spedicato
Item Weight
22.6 Oz
Item Width
6.3 in
Number of Pages
VIII, 410 Pages

Over dit product

Product Information

An overview of the most successful algorithms and techniques for solving large, sparse systems of equations and some algorithms and strategies for solving optimization problems. The most important topics dealt with concern iterative methods, especially Krylov methods, ordering techniques, and some iterative optimization tools. The book is a compendium of theoretical and numerical methods for solving large algebraic systems, special emphasis being placed on convergence and numerical behaviour as affected by rounding errors, accuracy in computing solutions for ill-conditioned matrices, preconditioning effectiveness, ordering procedures, stability factors, hybrid procedures and stopping criteria. Recent advances in numerical matrix calculations are presented, especially methods to accelerate the solution of symmetric and unsymmetric linear systems. Convergence analysis of the multi-grid method using a posteriori error estimation in second order elliptic equations are presented. Some inverse problems are also included. Evolution based software is described, such as genetic algorithms and evolution strategies, relations and class hierarchising to improve the exploration of large search spaces and finding near-global optima. Recent developments in messy genetic algorithms are also described. The tutorial nature of the book makes it suitable for mathematicians, computer scientists, engineers and postgraduates.

Product Identifiers

Publisher
Springer Netherlands
ISBN-10
9048150043
ISBN-13
9789048150045
eBay Product ID (ePID)
109206136

Product Key Features

Number of Pages
VIII, 410 Pages
Language
English
Publication Name
Algorithms for Large Scale Linear Algebraic Systems : Applications in Science and Engineering
Publication Year
2010
Subject
Programming / Algorithms, Numerical Analysis, General, Algebra / General
Type
Textbook
Subject Area
Computers, Mathematics
Author
E. Spedicato
Series
NATO Science Series C: Ser.
Format
Trade Paperback

Dimensions

Item Weight
22.6 Oz
Item Length
9.4 in
Item Width
6.3 in

Additional Product Features

Intended Audience
Scholarly & Professional
Dewey Edition
21
Series Volume Number
508
Number of Volumes
1 Vol.
Illustrated
Yes
Dewey Decimal
512/.5
Lc Classification Number
Qa150-272
Table of Content
Preface. Computational Complexity of Solving Large Sparse and Large Special Linear Systems of Equations; V.Y. Pan. Block Iterative Methods for Reduced Systems of Linear Equations; D.J. Evans. Parallel Implicit Schemes for the Solution of Linear Systems; D.J. Evans. Adaptive Multigrid Methods for Hybrid Finite Elements; L. Ferragut. On Finding and Analyzing the Structure of The Cholesky Factor; A. George. The Go-Away Algorithm for Block Factorization of a Sparse Matrix; P.R. Almeida, J.R. Franco. Renumbering Sparse Matrices by Simulated Annealing; G. Winter, et al. Preconditioned Krylov Subspace Methods; Y. Saad. Preconditioning Krylov Methods; A. Suárez, et al. Convergence and Numerical Behaviour of the Krylov Space Methods; Z. Strakos. Look-ahead Block-CG Algorithms; C.G. Broyden. Iterative Bi-CG Type Methods and Implementation Aspects; H. Van der Vorst, G.L.G. Sleijpen. Problems of Breakdown and Near-Breakdown in Lanczos-Based Algorithms; C. Brezinski, et al. Hybrid Methods for Solving Systems of Equations; C. Brezinski. ABS Algorithms for Linear Equations and Applications to Optimization; E. Spedicato, et al. Solving Inverse Thermal Problems Using Krylov Methods; G. Montero. An Introduction on Global Optimization by Genetic Algorithms; G. Winter, et al. Blackbox and Non-blackbox Optimization: A Common Perspective; H. Kargupta. Messy Genetic Algorithms: Recent Developments; H. Kargupta. List of Contributors. Index.
Copyright Date
1998

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