Numerical Models for Differential Problems
(Sprache: Englisch)
This introduction to the basic concepts for numerical modeling of partial differential equations covers classical elliptic, parabolic and hyperbolic linear equations and many others. It provides numerous physical examples of the equations.
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Produktinformationen zu „Numerical Models for Differential Problems “
This introduction to the basic concepts for numerical modeling of partial differential equations covers classical elliptic, parabolic and hyperbolic linear equations and many others. It provides numerous physical examples of the equations.
Klappentext zu „Numerical Models for Differential Problems “
In this text, we introduce the basic concepts for the numerical modelling of partial differential equations. We consider the classical elliptic, parabolic and hyperbolic linear equations, but also the diffusion, transport, and Navier-Stokes equations, as well as equations representing conservation laws, saddle-point problems and optimal control problems. Furthermore, we provide numerous physical examples which underline such equations. In particular, we discuss the algorithmic and computer implementation aspects and provide a number of easy-to-use programs. The text does not require any previous advanced mathematical knowledge of partial differential equations: the absolutely essential concepts are reported in a preliminary chapter. It is therefore suitable for students of bachelor and master courses in scientific disciplines, and recommendable to those researchers in the academic and extra-academic domain who want to approach this interesting branch of applied mathematics.
Inhaltsverzeichnis zu „Numerical Models for Differential Problems “
Introduction.- 1 A brief survey on partial differential equations.- 2 Elliptic equations.- 3 The Galerkin finite element method for elliptic problems.- 4 Spectral methods.- 5 Diffusion-transport-reaction equations.- 6 Parabolic equations.- 7 Finite differences for hyperbolic equations.- 8 Finite elements and spectral methods for hyperbolic equations.- 9 Nonlinear hyperbolic problems.- 10 The Navier-Stokes equations.- 11 Finite element programming.- 12 Generation of 1D and 2D grids.- 13 The finite volume method.- 14 Domain decomposition method.- 15 Optimal control problems for partial differential equations.- 16 Reduced basis methods.- 17 Appendix A: Elements of functional analysis.- 18 Appendix B: Solution of algebraic systems.
Autoren-Porträt von Alfio Quarteroni
The Author is Professor and Director of the Chair of Modelling and Scientific Computing (CMCS) at the Institute of Analysis and Scientific Computing of EPFL, Lausanne (Switzerland), since 1998, Professor of Numerical Analysis at the Politecnico di Milano (Italy) since 1989, and Scientific Director of MOX, since 2002. Author of 22 books published with Springer, and of about 200 papers published in refereed international Journals, Conference Proceedings and Magazines, Alfio Quarteroni is actually one of the strongest and reliable mathematicians in the world in the field of Modelling and SC.
Bibliographische Angaben
- Autor: Alfio Quarteroni
- 2012, 3rd corr. printing 2012 of 1st ed. 2009., 601 Seiten, Maße: 16,2 x 3,7 cm, Kartoniert (TB), Englisch
- Verlag: Springer
- ISBN-10: 8847010705
- ISBN-13: 9788847010703
Sprache:
Englisch
Rezension zu „Numerical Models for Differential Problems “
From the reviews:"This book contains the basic concepts for the approximation of differential equations which arise in the mathematical modeling of real life applications. ... it can be used as a textbook for graduate-level courses. Moreover, the interested reader can find a lot of information on the various aspects of the numerical approximation of differential problems, so that it can also be used as a starting point for the study of more specific topics in this field." (Lucia Gastaldi, Mathematical Reviews, Issue 2010 h)
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