05270nam 2200661Ia 450 991013960020332120170809165448.01-283-28277-197866132827741-118-11111-71-118-11113-31-118-11110-9(CKB)2550000000054282(EBL)693265(OCoLC)757486960(SSID)ssj0000555232(PQKBManifestationID)11366531(PQKBTitleCode)TC0000555232(PQKBWorkID)10520271(PQKB)10558043(MiAaPQ)EBC693265(PPN)18506065X(EXLCZ)99255000000005428220110516d2011 uy 0engur|n|---|||||txtccrNumerical analysis of partial differential equations[electronic resource] /S.H. LuiHoboken, N.J. Wileyc20111 online resource (508 p.)Pure and applied mathematics : a Wiley series of texts, monographs, and tractsDescription based upon print version of record.0-470-64728-0 Includes bibliographical references and index.Numerical Analysis of Partial Differential Equations; Contents; Preface; Acknowledgments; 1 Finite Difference; 1.1 Second-Order Approximation for Δ; 1.2 Fourth-Order Approximation for Δ; 1.3 Neumann Boundary Condition; 1.4 Polar Coordinates; 1.5 Curved Boundary; 1.6 Difference Approximation for Δ2; 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 Spaces2.7 Some Inequalities and Identities2.8 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 Higher-Order Elements; 3.7 A Posteriori Estimate; 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 Number; 4.2 Classical Iterative Methods4.3 Krylov Subspace Methods4.4 Direct Methods; 4.5 Preconditioning; 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 Galerkin and Spectral Tau Methods; 5.5 Spectral Collocation; 5.6 Polar Coordinates; 5.7 Neumann Problems; 5.8 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 Equation6.5 Spectral Collocation for Heat Equation6.6 Finite Difference 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 Orthogonal 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 Layer9.4 Boundary Integral Methods9.5 Fast Multipole 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; IndexA balanced guide to the essential techniques for solving elliptic partial differential equations Numerical Analysis of Partial Differential Equations provides a comprehensive, self-contained treatment of the quantitative methods used to solve elliptic partial differential equations (PDEs), with a focus on the efficiency as well as the error of the presented methods. The author utilizes coverage of theoretical PDEs, along with the nu merical solution of linear systems and various examples and exercises, to supply readers with an introduction to the essential concepts in the numPure and applied mathematics (John Wiley & Sons : Unnumbered)Differential equations, PartialNumerical solutionsVariational inequalities (Mathematics)Differential equations, PartialNumerical solutions.Variational inequalities (Mathematics)518.64518/.64MAT034000bisacshLui S. H(Shaun H.),1961-985046MiAaPQMiAaPQMiAaPQBOOK9910139600203321Numerical analysis of partial differential equations2250840UNINA01619nam 2200397 450 991041211580332120230822060953.0(CKB)5280000000242824(NjHacI)995280000000242824(EXLCZ)99528000000024282420230822d2019 uy 0engur|||||||||||txtrdacontentcrdamediacrrdacarrierProceedings of the 15th International Symposium on Open Collaboration /organizers, Björn Lundell [and three others]New York :Association for Computing Machinery,2019.1 online resource (197 pages) illustrationsACM Conferences1-4503-6319-9 We are very pleased to host the premier conference on open collaboration research and practice at the University of Skövde, Sweden and thereby promote stimulating discussions and dissemination of results in many areas of open collaboration, including open source, open data, open science, open education, wikis and related social media, Wikipedia, and IT-driven open innovation research.Open learningWeb sitesDesignOpen source softwareOpen learning.Web sitesDesign.Open source software.374.4Lundell BjörnNjHacINjHaclBOOK9910412115803321Proceedings of the 15th International Symposium on Open Collaboration1965670UNINA