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＜電子ブック＞
Adaptive Multilevel Solution of Nonlinear Parabolic PDE Systems : Theory, Algorithm, and Applications / by Jens Lang
(Lecture Notes in Computational Science and Engineering. ISSN:21977100 ; 16)

版	1st ed. 2001.
出版者	(Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer)
出版年	2001
本文言語	英語
大きさ	XII, 162 p. 52 illus : online resource
著者標目	*Lang, Jens author SpringerLink (Online service)
件　名	LCSH:Computer science LCSH:Mathematical analysis LCSH:Numerical analysis FREE:Theory of Computation FREE:Analysis FREE:Numerical Analysis
一般注記	I Introduction -- II The Continuous Problem and Its Discretization in Time -- III Convergence of the Discretization in Time and Space -- IV Computational Error Estimation -- V Towards an Effective Algorithm. Practical Issues -- VI Illustrative Numerical Tests -- VII Applications from Computational Sciences -- Appendix A. Advanced Tools from Functional Analysis -- §1. Gelfand Triple -- §2. Sesquilinear Forms and Bounded Operators in Hilbert Spaces -- §3. Unbounded Operators in Hilbert Spaces -- §4. Analytic Semigroups -- §5. Vectorial Functions Defined on Real Intervals -- Appendix B. Consistency and Stability of Rosenbrock Methods -- §1. Order Conditions -- §2. The Stability Function -- §3. The Property ‘Stiffly Accurate’ -- Appendix C. Coefficients of Selected Rosenbrock Methods -- Appendix D. Color Plates -- Table of Notations This book deals with the adaptive numerical solution of parabolic partial differential equations (PDEs) arising in many branches of applications. It illustrates the interlocking of numerical analysis, the design of an algorithm and the solution of practical problems. In particular, a combination of Rosenbrock-type one-step methods and multilevel finite elements is analysed. Implementation and efficiency issues are discussed. Special emphasis is put on the solution of real-life applications that arise in today's chemical industry, semiconductor-device fabrication and health care. The book is intended for graduate students and researchers who are either interested in the theoretical understanding of instationary PDE solvers or who want to develop computer codes for solving complex PDEs HTTP:URL=https://doi.org/10.1007/978-3-662-04484-1

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