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100318s1981 nyua ob 001 0 eng d |
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|a OCLCE
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|a 9780123133403
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|a PA 03
|2 blsrissc
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|a Hageman, Louis A.
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| 245 |
1 |
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|a Applied iterative methods /
|c Louis A. Hageman, David M. Young.
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| 260 |
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|a New York :
|b Academic Press,
|c 1981.
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| 300 |
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|a 1 online resource (xvii, 386 pages) :
|b illustrations
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| 336 |
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|a text
|b txt
|2 rdacontent
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| 337 |
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|a computer
|b c
|2 rdamedia
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| 338 |
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|a online resource
|b cr
|2 rdacarrier
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| 490 |
1 |
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|a Computer science and applied mathematics
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| 504 |
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|a Includes bibliographical references (pages 373-380) and index.
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| 506 |
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|3 Use copy
|f Restrictions unspecified
|2 star
|5 MiAaHDL
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| 533 |
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|a Electronic reproduction.
|b [Place of publication not identified] :
|c HathiTrust Digital Library,
|d 2010.
|5 MiAaHDL
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| 538 |
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|a Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002.
|u http://purl.oclc.org/DLF/benchrepro0212
|5 MiAaHDL
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| 583 |
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|a digitized
|c 2010
|h HathiTrust Digital Library
|l committed to preserve
|2 pda
|5 MiAaHDL
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|a Print version record.
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|a Front Cover; Applied Iterative Methods; Copyright Page; Table of Contents; Preface; Acknowledgments; Notation; Chapter 1. Background on Linear Algebra and Related Topics; 1.1 Introduction; 1.2 Vectors and Matrices; 1.3 Eigenvalues and Eigenvectors; 1.4 Vector and Matrix Norms; 1.5 Partitioned Matrices; 1.6 The Generalized Dirichlet Problem; 1.7 The Model Problem; Chapter 2. Background on Basic Iterative Methods; 2.1 Introduction; 2.2 Convergence and Other Properties; 2.3 Examples of Basic Iterative Methods; 2.4 Comparison of Basic Methods; 2.5 Other Methods; Chapter 3. Polynomial Acceleration
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| 505 |
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|a 7.4 Conjugate Gradient Acceleration7.5 Stopping Procedures; 7.6 Computational Procedures; 7.7 Numerical Results; Chapter 8. Special Methods for Red/Black Partitionings; 8.1 Introduction; 8.2 The RS-SI and RS-CG Methods; 8.3 The CCSI and CCG Procedures; 8.4 Numerical Results; 8.5 Arithmetic and Storage Requirements; 8.6 Combined (Hybrid) Chebyshev and Conjugate Gradient Iterations; 8.7 Proofs; Chapter 9. Adaptive Procedures for the Successive Overrelaxation Method; 9.1 Introduction; 9.2 Consistently Ordered Matrices and Related Matrices; 9.3 The SOR Method
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| 505 |
8 |
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|a 9.4 Eigenvector Convergence of the SOR Difference Vector9.5 SOR Adaptive Parameter and Stopping Procedures; 9.6 An Overall Computational Algorithm; 9.7 The SOR Method for Problems with Red/Black Partitionings; 9.8 Numerical Results; 9.9 On the Relative Merits of Certain Partitionings and Certain IterativeProcedures; 9.10 Proofs of Theorems and Discussion of the Strategy Condition (9-5.21); Chapter 10. The Use of Iterative Methods in the Solution of Partial Differential Equations; 10.1 Introduction; 10.2 The Time-Independent Two-Dimensional Problem
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| 546 |
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|a English.
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| 650 |
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0 |
|a Iterative methods (Mathematics)
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| 650 |
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6 |
|a It�eration (Math�ematiques)
|0 (CaQQLa)201-0091650
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| 650 |
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7 |
|a Iterative methods (Mathematics)
|2 fast
|0 (OCoLC)fst00980827
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| 700 |
1 |
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|a Young, David M.,
|d 1923-2008.
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| 776 |
0 |
8 |
|i Print version:
|a Hageman, Louis A.
|t Applied iterative methods.
|d New York : Academic Press, 1981
|w (DLC) 80029546
|w (OCoLC)7196319
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| 830 |
|
0 |
|a Computer science and applied mathematics.
|
| 856 |
4 |
0 |
|u https://sciencedirect.uam.elogim.com/science/book/9780123133403
|z Texto completo
|
