Alles über E-Books | Antworten auf Fragen rund um E-Books, Kopierschutz und Dateiformate finden Sie in unserem Info- & Hilfebereich.
Iterative Methods for Large Linear Systems contains a wide spectrum of research topics related to iterative methods, such as searching for optimum parameters, using hierarchical basis preconditioners, utilizing software as a research tool, and developing algorithms for vector and parallel computers. This book provides an overview of the use of iterative methods for solving sparse linear systems, identifying future research directions in the mainstream of modern scientific computing with an eye to contributions of the past, present, and future. Different iterative algorithms that include the successive overrelaxation (SOR) method, symmetric and unsymmetric SOR methods, local (ad-hoc) SOR scheme, and alternating direction implicit (ADI) method are also discussed. This text likewise covers the block iterative methods, asynchronous iterative procedures, multilevel methods, adaptive algorithms, and domain decomposition algorithms. This publication is a good source for mathematicians and computer scientists interested in iterative methods for large linear systems.
Language
Place of publication
Publishing group
Elsevier Science & Techn.
ISBN-13
978-1-4832-6020-4 (9781483260204)
Schweitzer Classification
¿1 Fourier Analysis of Two-Level Hierarchical Basis Preconditioners 1 Introduction 2 ID, Linear S 3 2D, Bilinear S, Bilinear A 4 2D, Bilinear, 5-Point A 5 3D, Trilinear S, 7-Point A 6 Concluding Remarks Acknowledgements References2 An Algebraic Framework for Hierarchical Basis Functions Multilevel Methods or the Search for 'Optimal' Preconditioners 1 Introduction 2 The Algebraic Framework for Two-Level Hierarchical Basis Function Methods Basic Assumptions 3 Recursive Definition of Preconditioner Forward Substitution Backward Substitution Computational Complexity Domain Decomposition 4 The Relative Condition Number of M(l) with Respect to A(l) Fixed-Point Analysis 5 Concluding Remarks References3 ELLPACK and ITPACK as Research Tools for Solving Elliptic Problems 1 Background 2 ELLPACK and ITPACK 3 Some Basic Question 4 Direct vs. Iterative Methods 5 Different Elliptic Problems 6 Symmetry? 7 Extended Network Analogy 8 Orders of Accuracy 9 Choice of Mesh 10 Computational Complexity 11 3D Problems Acknowledgement References4 Preconditioned Iterative Methods for Indefinite Symmetric Toeplitz Systems 1 Introduction 2 Toeplitz and Circulant Matrices 3 Solution Methods 4 Test Matrix Preconditioners 5 Test Matrices 6 Computed Spectra Acknowlegements References5 A Local Relaxation Scheme (Ad-Hoc SOR) Applied to Nine Point and Block Difference Equations 1 History 2 The Method 3 Nine Point Application: Cross Derivatives 4 Block Iteration Acknowledgements References6 Block Iterative Methods for Cyclically Reduced Non-Self-Adjoint Elliptic Problems 1 Introduction 2 The Reduced System for the Convection-Diffusion Equation 3 Bounds for Solving the Convection-Diffusion Equation 4 Numerical Experiments Acknowledgements References7 Toward an Effective Two-Parameter SOR Method 1 Background 2 Singular Value Decomposition and Orthogonal Similarities 3 Two-Parameter SOR 4 A Numerical Example Acknowledgements References Appendix8 Relaxation Parameters for the IQE Iterative Procedure for Solving Semi-Implicit Navier-Stokes Difference Equations 1 Introduction 2 The Continuous and Discrete Problems 3 The IQE Iterative Method 4 The Calculation of ¿ 5 Numerical Results Acknowledgements References9 Hodie Approximation of Boundary Conditions 1 Introduction 2 Approximation 'Away from the Boundary' 3 Hodie as Interpolation 4 Boundary Conditions 5 Extension of Ui,j to O 6 Indexing of Unknowns 7 Eigenproblems Acknowledgements References10 Iterative Methods for Nonsymmetric Linear Systems 1 Introduction 2 Projection Methods Balanced Projection Methods 3 Krylov Projection Methods 3.1 Computational Schemes for Krylov Projection Methods 3.2 Examples of Krylov Projection Method 4 Semi-Krylov Projection Methods 4.1 Balanced SKPM's: Truncated/Restarted Methods 4.