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Introduction to Partial Differential Equations with MATLAB (Applied and Numerical Harmonic Analysis)
 
 

Introduction to Partial Differential Equations with MATLAB (Applied and Numerical Harmonic Analysis) (Hardcover)

by Jeffery M. Cooper (Author) "In this section we will introduce some ideas and notations which we will use often in the study of partial differential equations ..." (more)
2.0 out of 5 stars  See all reviews (1 customer review)
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Product details

  • Hardcover: 560 pages
  • Publisher: Birkhauser; 1st ed. 1998. Corr. 2nd printing edition (1 Nov 2000)
  • Language English
  • ISBN-10: 0817639675
  • ISBN-13: 978-0817639679
  • Product Dimensions: 24.1 x 15.5 x 3.8 cm
  • Average Customer Review: 2.0 out of 5 stars  See all reviews (1 customer review)
  • Amazon.co.uk Sales Rank: 368,260 in Books (See Bestsellers in Books)

    Popular in these categories:

    #37 in  Books > Science & Nature > Mathematics > Numbers > Number Systems
    #64 in  Books > Science & Nature > Engineering & Technology > Production, Manufacturing & Operational > Modelling, Prototypes & Simulations
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  • See Complete Table of Contents

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Product Description

Review

"Cooper's book stands out among a host of PDE works. It not only adequately treats traditional core partial differential equation methods but also integrates analytic solutions with numerical schemes through the implementation of MATLAB routines. As an application-oriented book that provides the basic definitions, theorems, and analyses of the solutions, it contains the core topics needed for a sound background in partial differential equations.... One of the book's excellent features is the availability of illustrative and challenging problems, some of which have been cast in the form of MATLAB projects. Such features undoubtedly make this a suitable work for a laboratory component of an introductory PDEs course. Recommended. Undergraduates through faculty." a "Choice


Product Description

The subject of partial differential equations has an unchanging core of material but is constantly expanding and evolving. Introduction to Partial Differential Equations with MATLAB is a careful integration of traditional core topics with modern topics, taking full advantage of the computational power of MATLAB to enhance the learning experience. This advanced text/reference is an introduction to partial differential equations covering the traditional topics within a modern context. To provide an up-to-date treatment, techniques of numerical computation have been included with carefully selected nonlinear topics, including nonlinear first order equations. Each equation studied is placed in the appropriate physical context. The analytical aspects of solutions are discussed in an integrated fashion with extensive examples and exercises, both analytical and computational. The book is excellent for classroom use and can be used for self-study purposes. Topic and Features: • Nonlinear equations including nonlinear conservation laws; • Dispersive wave equations and the Schrodinger equation; • Numerical methods for each core equation including finite difference methods, finite element methods, and the fast Fourier transform; • Extensive use of MATLAB programs in exercise sets. MATLAB m files for numerical and graphics programs available by ftp from this web site. This text/reference is an excellent resources designed to introduce advanced students in mathematics, engineering and sciences to partial differential equations. It is also suitable as a self-study resource for professionals and practitioners.

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In this section we will introduce some ideas and notations which we will use often in the study of partial differential equations. Read the first page
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Introduction to Partial Differential Equations with MATLAB (Applied and Numerical Harmonic Analysis)
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2.0 out of 5 stars An excellent rough draft of a textbook., 22 Dec 1998
By A Customer
Cooper's book does some things quite well. While most courses on PDE's are reduced to repetitive applications of separation of variables and Fourier series, Cooper offers a new approach. He goes by equation rather than by technique, and introduces nonlinear equations and numerical methods very early. Separation of variables and Fourier series do not come up until Chapter 4. The first chapter, which reviews elements of analysis, is a very good reference. MATLAB is well incorporated throughout the text.

The reason I do not rate this book more highly is that the writing is unbelievably sloppy. There are at least five typos per chapter, usually more. Crucial things, like Green's first identity, are misprinted. There are dozens of typos in the answers in the back, which makes it very hard to check your work.

Judging just by the content, this is a very good book. However, the misprints in the math (to say nothing of those in the text) are so severe that I would not recommend buying it until a better-proofread edition comes out.

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