Large time asymptotics for solutions of nonlinear partial differential equations /

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Bibliographic Details
Author / Creator:Sachdev, P. L.
Imprint:New York : Springer, c2010.
Description:1 online resource (viii, 235 p.) : ill.
Language:English
Series:Springer monographs in mathematics
Springer monographs in mathematics.
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/8892404
Hidden Bibliographic Details
Other authors / contributors:Rao, Ch. Srinivasa (Chidella Srinivasa)
ISBN:9780387878096 (e-isbn)
0387878092 (e-isbn)
9780387878089
0387878084
Notes:Description based on print version record.
Summary:A large number of physical phenomena are modeled by nonlinear partial differential equations, subject to appropriate initial/boundary conditions. This title presents the constructive mathematical techniques. It deals with the asymptotic methods which include self-similarity, balancing argument, and matched asymptotic expansions.
Other form:Print version: Sachdev, P.L. Large time asymptotics for solutions of nonlinear partial differential equations. New York : Springer, c2010 9780387878089 0387878084
Description
Summary:

A large number of physical phenomena are modeled by nonlinear partial

differential equations, subject to appropriate initial/ boundary conditions; these

equations, in general, do not admit exact solution. The present monograph gives

constructive mathematical techniques which bring out large time behavior of

solutions of these model equations. These approaches, in conjunction with modern

computational methods, help solve physical problems in a satisfactory manner. The

asymptotic methods dealt with here include self-similarity, balancing argument,

and matched asymptotic expansions. The physical models discussed in some detail

here relate to porous media equation, heat equation with absorption, generalized

Fisher's equation, Burgers equation and its generalizations. A chapter each is

devoted to nonlinear diffusion and fluid mechanics. The present book will be found

useful by applied mathematicians, physicists, engineers and biologists, and would

considerably help understand diverse natural phenomena.

Physical Description:1 online resource (viii, 235 p.) : ill.
ISBN:9780387878096
0387878092
9780387878089
0387878084