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001 16781016
003 APU
005 20150402152304.0
008 110516s2011 njua b 001 0 eng
010 _a 2011013570
020 _a9780470647288 (hbk.)
020 _a0470647280 (hbk.)
035 _a(OCoLC)ocn712125079
040 _aDLC
_cAPU
_dSM
_beng
042 _apcc
050 0 0 _aQA377
_b.L85 2011
082 0 0 _a515.353
_223
_bLUI 2011
100 1 _aLui, S. H.
_q(Shaun H.),
_d1961-
_93847
245 1 0 _aNumerical analysis of partial differential equations /
_cS.H. Lui.
260 _aHoboken, N.J. :
_bWiley,
_cc2011.
300 _axiii, 487 p. :
_bill. ;
_c27 cm.
490 1 _aPure and applied mathematics : a Wiley series of texts, monographs, and tracts
500 _aMachine generated contents note: Preface.Acknowledgments.1. Finite Difference.1.1 Second-Order Approximation for [delta].1.2 Fourth-Order Approximation for [delta].1.3 Neumann Boundary Condition.1.4 Polar Coordinates.1.5 Curved Boundary.1.6 Difference Approximation for [delta]2.1.7 A Convection-Diffusion Equation.1.8 Appendix: Analysis of Discrete Operators.1.9 Summary and Exercises.2. Mathematical Theory of Elliptic PDEs.2.1 Function Spaces.2.2 Derivatives.2.3 Sobolev Spaces.2.4 Sobolev Embedding Theory.2.5 Traces.2.6 Negative Sobolev Spaces.2.7 Some Inequalities and Identities.2.8 Weak Solutions.2.9 Linear Elliptic PDEs.2.10 Appendix: Some Definitions and Theorems.2.11 Summary and Exercises.3. Finite Elements.3.1 Approximate Methods of Solution.3.2 Finite Elements in 1D.3.3 Finite Elements in 2D.3.4 Inverse Estimate.3.5 L2 and Negative-Norm Estimates.3.6 A Posteriori Estimate.3.7 Higher-Order Elements.3.8 Quadrilateral Elements.3.9 Numerical Integration. 3.10 Stokes Problem.3.11 Linear Elasticity.3.12 Summary and Exercises.4. Numerical Linear Algebra.4.1 Condition Numbers.4.2 Classical Iterative Methods.4.3 Krylov Subspace Methods.4.4 Preconditioning.4.5 Direct Methods.4.6 Appendix: Chebyshev Polynomials.4.7 Summary and Exercises.5. Spectral Methods.5.1 Trigonometric Polynomials.5.2 Fourier Spectral Method.5.3 Orthogonal Polynomials.5.4 Spectral Gakerkin and Spectral Tau Methods.5.5 Spectral Collocation.5.6 Polar Coordinates.5.7 Neumann Problems5.8 Fourth-Order PDEs.5.9 Summary and Exercises.6. Evolutionary PDEs.6.1 Finite Difference Schemes for Heat Equation.6.2 Other Time Discretization Schemes.6.3 Convection-Dominated equations.6.4 Finite Element Scheme for Heat Equation.6.5 Spectral Collocation for Heat Equation.6.6 Finite Different Scheme for Wave Equation.6.7 Dispersion.6.8 Summary and Exercises.7. Multigrid.7.1 Introduction.7.2 Two-Grid Method.7.3 Practical Multigrid Algorithms.7.4 Finite Element Multigrid.7.5 Summary and Exercises.8. Domain Decomposition.8.1 Overlapping Schwarz Methods.8.2 Projections.8.3 Non-overlapping Schwarz Method.8.4 Substructuring Methods.8.5 Optimal Substructuring Methods.8.6 Summary and Exercises.9. Infinite Domains.9.1 Absorbing Boundary Conditions.9.2 Dirichlet-Neumann Map.9.3 Perfectly Matched Layer.9.4 Boundary Integral Methods.9.5 Fast Multiple Method.9.6 Summary and Exercises.10. Nonlinear Problems.10.1 Newton's Method.10.2 Other Methods.10.3 Some Nonlinear Problems.10.4 Software.10.5 Program Verification.10.6 Summary and Exercises.Answers to Selected Exercises.References.Index. .
504 _aIncludes bibliographical references and index.
520 _a"This book provides a comprehensive and self-contained treatment of the numerical methods used to solve partial differential equations (PDEs), as well as both the error and efficiency of the presented methods. Featuring a large selection of theoretical examples and exercises, the book presents the main discretization techniques for PDEs, introduces advanced solution techniques, and discusses important nonlinear problems in many fields of science and engineering. It is designed as an applied mathematics text for advanced undergraduate and/or first-year graduate level courses on numerical PDEs"--
650 0 _aDifferential equations, Partial
_xNumerical solutions.
_93848
830 0 _aPure and applied mathematics (John Wiley & Sons : Unnumbered)
_93849
906 _a7
_bcbc
_corignew
_d1
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942 _2lcc
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999 _c1530
_d1530