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Partial Differential Equations: Modeling, Analysis and Numerical Approximation: International Series of Numerical Mathematics, cartea 168

Autor Hervé Le Dret, Brigitte Lucquin
en Limba Engleză Hardback – 19 feb 2016
This book is devoted to the study of partial differential equation problems both from the theoretical and numerical points of view. After presenting modeling aspects, it develops the theoretical analysis of partial differential equation problems for the three main classes of partial differential equations: elliptic, parabolic and hyperbolic. Several numerical approximation methods adapted to each of these examples are analyzed: finite difference, finite element and finite volumes methods, and they are illustrated using numerical simulation results. Although parts of the book are accessible to Bachelor students in mathematics or engineering, it is primarily aimed at Masters students in applied mathematics or computational engineering. The emphasis is on mathematical detail and rigor for the analysis of both continuous and discrete problems.
 
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Specificații

ISBN-13: 9783319270654
ISBN-10: 3319270656
Pagini: 395
Ilustrații: XI, 395 p. 140 illus., 119 illus. in color.
Dimensiuni: 155 x 235 x 24 mm
Greutate: 0.74 kg
Ediția:1st ed. 2016
Editura: Springer International Publishing
Colecția Birkhäuser
Seria International Series of Numerical Mathematics

Locul publicării:Cham, Switzerland

Public țintă

Upper undergraduate

Cuprins

Foreword.- Mathematical modeling and PDEs.- The finite difference method for elliptic problems.- A review of analysis.- The variational formulation of elliptic PDEs.-Variational approximation methods for elliptic PDEs.- The finite element method in dimension two.- The heat equation.- The finite difference method for the heat equation.- The wave equation.- The finite volume method.- Index.- References.

Recenzii

“This textbook covers a broad array of aspects of partial differential equations (PDEs), ranging from a study of their analytical properties to the approximate numerical simulations of their solutions. The level of the book is mainly targeted towards Master’s students in applied mathematics or related fields of engineering. … The topics on modeling and approximating partial differential equations are well chosen and are presented in a logical and balanced order.” (Michael M. Tung, Mathematical Reviews, June, 2017)



“This work explores the field of partial differential equations in an advanced manner. … authors provide remarks that help clarify and expand on information that was proved. This is a useful feature for the student trying to make connections with the material. … the authors not only provide a brief summary of the material just covered, but also allude to how this material will be seen in the following chapters. Summing Up: Recommended. Upper-division undergraduates and above; researchers and faculty.” (S. L. Sullivan, Choice, Vol. 54 (9), May, 2017)
“This book presents both a theoretical and a numerical approach to partial differential equations. … The book appeals to graduate students as well as to researchers in any field of pure and applied mathematics who want to be introduced to numerical approximation method for PDEs through a rigorous approach.” (Marius Ghergu, zbMATH 1339.35005, 2016)

Textul de pe ultima copertă

This book is devoted to the study of partial differential equation problems both from the theoretical and numerical points of view. After presenting modeling aspects, it develops the theoretical analysis of partial differential equation problems for the three main classes of partial differential equations: elliptic, parabolic and hyperbolic. Several numerical approximation methods adapted to each of these examples are analyzed: finite difference, finite element and finite volumes methods, and they are illustrated using numerical simulation results. Although parts of the book are accessible to Bachelor students in mathematics or engineering, it is primarily aimed at Masters students in applied mathematics or computational engineering. The emphasis is on mathematical detail and rigor for the analysis of both continuous and discrete problems.
 

Caracteristici

Covers the whole spectrum of partial differential equations, from modeling, analysis, to numerical analysis with numerical illustrations Covers the major deterministic numerical methods used in scientific computing practice Mathematically self-contained Includes supplementary material: sn.pub/extras