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Kategorie szczegółowe BISAC

Numerical Solution of Time-Dependent Advection-Diffusion-Reaction Equations

ISBN-13: 9783642057076 / Angielski / Miękka / 2010 / 472 str.

Willem Hundsdorfer;Jan G. Verwer
Numerical Solution of Time-Dependent Advection-Diffusion-Reaction Equations Willem Hundsdorfer, Jan G. Verwer 9783642057076 Springer-Verlag Berlin and Heidelberg GmbH &  - książkaWidoczna okładka, to zdjęcie poglądowe, a rzeczywista szata graficzna może różnić się od prezentowanej.

Numerical Solution of Time-Dependent Advection-Diffusion-Reaction Equations

ISBN-13: 9783642057076 / Angielski / Miękka / 2010 / 472 str.

Willem Hundsdorfer;Jan G. Verwer
cena 806,99 zł
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This book deals with numerical methods for solving partial differential equa- tions (PDEs) coupling advection, diffusion and reaction terms, with a focus on time-dependency. A combined treatment is presented of methods for hy- perbolic problems, thereby emphasizing the one-way wave equation, meth- ods for parabolic problems and methods for stiff and non-stiff ordinary dif- ferential equations (ODEs). With regard to time-dependency we have at- tempted to present the algorithms and the discussion of their properties for the three different types of differential equations in a unified way by using semi-discretizations, i. e., the method of lines, whereby the PDE is trans- formed into an ODE by a suitable spatial discretization. In addition, for hy- perbolic problems we also discuss discretizations that use information based on characteristics. Due to this combination of methods, this book differs substantially from more specialized textbooks that deal exclusively with nu- merical methods for either PDEs or ODEs. We treat integration methods suitable for both classes of problems. This combined treatment offers a clear advantage. On the one hand, in the field of numerical ODEs highly valuable methods and results exist which are of practical use for solving time-dependent PDEs, something which is often not fully exploited by numerical PDE researchers. Although many problems can be solved by Euler's method or the Crank-Nicolson method, better alter- natives are often available which can significantly reduce the computational effort needed to solve practical problems.

Kategorie:
Technologie
Kategorie BISAC:
Technology & Engineering > Engineering (General)
Mathematics > Równania różniczkowe
Mathematics > Systemy liczbowe
Wydawca:
Springer-Verlag Berlin and Heidelberg GmbH &
Seria wydawnicza:
Springer Series in Computational Mathematics
Język:
Angielski
ISBN-13:
9783642057076
Rok wydania:
2010
Dostępne języki:
Angielski
Wydanie:
Softcover Repri
Numer serii:
000139058
Ilość stron:
472
Waga:
1.49 kg
Wymiary:
23.523.5 x 15.5
Oprawa:
Miękka
Wolumenów:
01

From the reviews:

"The numerical solution of time-dependent advection-diffusion-reaction problems draws on different areas of numerical analysis ... . We appreciate that the quite thorough, yet not pedantic, analytic part of the presentation is intimately interwoven with numerical tests and examples which will enable the reader to judge on the relative merits of the various approaches and really aid him in developing proper software for the problem at hand." (H. Mutsham, Monatshefte für Mathematik, Vol. 144 (2), 2005)

"Let me say at the outset that I highly recommend this book to practitioners ... end-users, and those new to the field. One of its strengths is its in-depth presentation of temporal and spatial discretizations and their interaction ... . With each topic, key theoretical results are presented. ... I found the present authors' choice of problems to be one of the highlights of the book." (Peter Moore, SIAM Review, Vol. 46 (3), 2004)

"This excellent research monograph contains a comprehensive discussion of numerical techniques for advection-reaction-diffusion partial differential equations (PDEs). The emphasis is on a method of lines approach, the analysis is careful and complete, and the numerical tests designed to verify the theoretical discussions of stability, convergence, monotonicity, etc. involve solving 'real life' equations. ... As is to be expected in such a carefully prepared monograph, there is an extensive bibliography and a good index. Highly recommended." (Ian Gladwell, Mathematical Reviews, 2004 g)

"The information, densely packed on roughly 450 pages, is abundant though well-structured, smoothly readable, and with emphasis on explanation of key concepts by means of examples that are stripped from unnecessary complications. ... a serious student with a hands-on attitude finds in this book an excellent source for self-studies and investigation. ... It is a valuable contribution to the Springer Series in this field of research." (J. Brandts, Nieuw Archief voor Wiskunde, Vol. 7 (1), 2006)

I Basic Concepts and Discretizations.- II Time Integration Methods.- III Advection-Diffusion Discretizations.- IV Splitting Methods.- V Stabilized Explicit Runge-Kutta Methods.

This book describes numerical methods for partial differential equations (PDEs) coupling advection, diffusion and reaction terms, encompassing methods for hyperbolic, parabolic and stiff and nonstiff ordinary differential equations (ODEs). The emphasis lies on time-dependent transport-chemistry problems, describing e.g. the evolution of concentrations in environmental and biological applications. Along with the common topics of stability and convergence, much attention is paid on how to prevent spurious, negative concentrations and oscillations, both in space and time. Many of the theoretical aspects are illustrated by numerical experiments on models from biology, chemistry and physics. A unified approach is followed by emphasizing the method of lines or semi-discretization. In this regard this book differs substantially from more specialized textbooks which deal exclusively with either PDEs or ODEs. This book treats integration methods suitable for both classes of problems and thus is of interest to PDE researchers unfamiliar with advanced numerical ODE methods, as well as to ODE researchers unaware of the vast amount of interesting results on numerical PDEs. The first chapter provides a self-contained introduction to the field and can be used for an undergraduate course on the numerical solution of PDEs. The remaining four chapters are more specialized and of interest to researchers, practitioners and graduate students from numerical mathematics, scientific computing, computational physics and other computational sciences.



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