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Numerical Solutions for Partial Differential Equations: Problem Solving Using Mathematica (Symbolic and Numeric Computation Series) [Hardcover]

Victor Grigorevich Ganzha (Editor), Evgenii Vasilevich Vorozhtsov (Editor)

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Book Description

Publication Date: September 30, 1996 | ISBN-10: 0849373794 | ISBN-13: 978-0849373794 | Edition: 1

Numerical Solutions for Partial Differential Equations outlines the principles and applications of advanced numberical methods for solving PDEs. It also describes how Mathematica (R) can analyze numerical properties such as stability, approximation, and dispersion.

#outer_postBodyPS { display: none; } #psGradient { display: none; } #psPlaceHolder { display: none; } #psExpand { display: none; } Numerical Solutions for Partial Differential Equations outlines the principles and applications of advanced numberical methods for solving PDEs. It also describes how Mathematica (R) can analyze numerical properties such as stability, approximation, and dispersion.

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Editorial Reviews

Review

:...A completely new edition designed for an era of calculators and handheld computers.
@:- James A. Cargal, Troy State University, Montgomery, Alabama, in The Journal of Undergraduate Mathematics and Its Applications, 1996
@

Product Details

Hardcover: 347 pages
Publisher: CRC-Press; 1 edition (September 30, 1996)
Language: English
ISBN-10: 0849373794
ISBN-13: 978-0849373794
Product Dimensions: 9 x 6 x 1 inches
Shipping Weight: 1.4 pounds (View shipping rates and policies)
Amazon Best Sellers Rank: #2,051,626 in Books (See Top 100 in Books)

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More About the Author

› Visit Amazon's V. G. Ganzha Page

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Inside This Book (learn more)

First Sentence:
The development of the program package Mathematica was initiated by Stephen Wolfram in the 1980s. Read the first page

Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
local approximation study, difference scheme under consideration, specific difference scheme, spatial computational domain, scalar sweeps, attached diskette, nodal scheme, stability region boundary, computing mesh, subsonic part, quadrilateral cells, mathematical physics problems, uniform rectangular grid, discontinuity front, advection speed, numerical boundary conditions, advection equation, nozzle wall, curvilinear grid, explicit difference schemes, square wave test, implicit difference schemes, symbolic algorithm, deviations from the center, triangular cells

Key Phrases - Capitalized Phrases (CAPs): (learn more)
New York, Journal of Computational Physics, Redwood City, Parameter Description, Addison-Wesley Publishing Company, Second Edition, Academic Press, Computational Fluid Dynamics, Novosibirsk State University, Siberian Division, Pacific Grove, Santa Clara

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Citations (learn more)

This book cites 41 books:

Fundamentals of Computational Fluid Dynamics by Patrick J. Roache on 4 pages
Finite Difference Schemes and Partial Differential Equations by John Strikwerda on page 152, page 209, and Back Matter
Differential Equations (Springer series in Soviet mathematics) by A.N. Tikhonov on page 209, and Back Matter
Methods of Numerical Mathematics (Applications of Mathematics 2) by Guriai Ivanovich Marchuk on page 153, and Back Matter
Partial Differential Equations (Applied Mathematical Sciences) (v. 1) by Fritz John on page 152, and page 209

See all 41 books this book cites

4 books cite this book:

Mathematica Navigator: Graphics and Methods of Applied Mathematics by Heikki Ruskeepaa in Back Matter
Conservative Finite Difference Methods on General Grids (Symbolic and Numeric Computation Series) by Mikhail Shashkov in Front Matter
Mathematica Navigator, Second Edition: Mathematics, Statistics, and Graphics by Heikki Ruskeepaa in Back Matter
A Beginner's Guide To Mathematica by David McMahon in Back Matter

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