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Introduction to Numerical Ordinary and Partial Differential Equations Using MATLAB (Pure and Applied Mathematics: A Wiley Series of Texts, Monographs and Tracts)
 
 
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Introduction to Numerical Ordinary and Partial Differential Equations Using MATLAB (Pure and Applied Mathematics: A Wiley Series of Texts, Monographs and Tracts) [Hardcover]

Alexander Stanoyevitch (Author)

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Book Description

0471697389 978-0471697381 December 31, 2004 1
Learn how to solve complex differential equations using MATLAB®

Introduction to Numerical Ordinary and Partial Differential Equations Using MATLAB® teaches readers how to numerically solve both ordinary and partial differential equations with ease. This innovative publication brings together a skillful treatment of MATLAB and programming alongside theory and modeling. By presenting these topics in tandem, the author enables and encourages readers to perform their own computer experiments, leading them to a more profound understanding of differential equations.

The text consists of three parts:

  • Introduction to MATLAB and numerical preliminaries, which introduces readers to the software and itsgraphical capabilities and shows how to use it to write programs
  • Ordinary Differential Equations
  • Partial Differential Equations

All the tools needed to master using MATLAB to solve differential equations are provided and include:

  • "Exercises for the Reader" that range from routine computations to more advanced conceptual and theoretical questions (solutions appendix included)
  • Illustrative examples, provided throughout the text, that demonstrate MATLAB's powerful ability to solve differential equations
  • Explanations that are rigorous, yet written in a very accessible, user-friendly style
  • Access to an FTP site that includes downloadable files of all the programs developed in the text

This textbook can be tailored for courses in numerical differential equations and numerical analysis as well as traditional courses in ordinary and/or partial differential equations. All the material has been classroom-tested over the course of many years, with the result that any self-learner with an understanding of basic single-variable calculus can master this topic. Systematic use is made of MATLAB's superb graphical capabilities to display and analyze results. An extensive chapter on the finite element method covers enough practical aspects (including mesh generation) to enable the reader to numerically solve general elliptic boundary value problems. With its thorough coverage of analytic concepts, geometric concepts, programs and algorithms, and applications, this is an unsurpassed pedagogical tool.


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Editorial Reviews

Review

"…reading it is a pleasure. In summary, here is an excellent, readable introduction to the elementary theory and practice of numerical mathematics." (CHOICE, September 2005)

From the Back Cover

Learn how to solve complex differential equations using MATLAB®

Introduction to Numerical Ordinary and Partial Differential Equations Using MATLAB® teaches readers how to numerically solve both ordinary and partial differential equations with ease. This innovative publication brings together a skillful treatment of MATLAB and programming alongside theory and modeling. By presenting these topics in tandem, the author enables and encourages readers to perform their own computer experiments, leading them to a more profound understanding of differential equations.

The text consists of three parts:

  • Introduction to MATLAB and numerical preliminaries, which introduces readers to the software and itsgraphical capabilities and shows how to use it to write programs
  • Ordinary Differential Equations
  • Partial Differential Equations

All the tools needed to master using MATLAB to solve differential equations are provided and include:

  • "Exercises for the Reader" that range from routine computations to more advanced conceptual and theoretical questions (solutions appendix included)
  • Illustrative examples, provided throughout the text, that demonstrate MATLAB's powerful ability to solve differential equations
  • Explanations that are rigorous, yet written in a very accessible, user-friendly style
  • Access to an FTP site that includes downloadable files of all the programs developed in the text

This textbook can be tailored for courses in numerical differential equations and numerical analysis as well as traditional courses in ordinary and/or partial differential equations. All the material has been classroom-tested over the course of many years, with the result that any self-learner with an understanding of basic single-variable calculus can master this topic. Systematic use is made of MATLAB's superb graphical capabilities to display and analyze results. An extensive chapter on the finite element method covers enough practical aspects (including mesh generation) to enable the reader to numerically solve general elliptic boundary value problems. With its thorough coverage of analytic concepts, geometric concepts, programs and algorithms, and applications, this is an unsurpassed pedagogical tool.


Product Details


More About the Author

Alexander Stanoyevitch is a professor at California State University-Dominguez Hills. He completed his doctorate in mathematical analysis at the University of Michigan, Ann Arbor, and has held academic positions at the University of Hawaii and the University of Guam. Dr. Stanoyevitch has taught many upper-level classes to mathematics and computer science students, has published several articles in leading mathematical journals, and has been an invited speaker at numerous lectures and conferences in the United States, Europe, and Asia. His research interests include areas of both pure and applied mathematics.

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Inside This Book (learn more)
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
symbolic toolbox, other numerical methods, fractal geometry, power sums, quadratic basis functions, interior grid values, nonlinear shooting method, chopped floating point arithmetic, blocklike domain, following heat problem, next exercise for the reader, submain diagonal, rounded floating point arithmetic, discrete compatibility condition, chopped arithmetic, plot triangulations, toolbox capabilities, final numerical solution, ghost nodes, eig function, subplot command, rounded arithmetic, back substitution algorithm, interior grid points, unit roundoff
Key Phrases - Capitalized Phrases (CAPs): (learn more)
The Finite Element Method, Differential Equations, Use Taylor, Error Analysis, Basic Concepts of Numerical Analysis, Redo Exercise, Monte Carlo, United States, Repeat Exercise, Number Theory, Use Newton, Logical Control Flow, The Basics, Writing Good Programs, The Collatz Problem, Use the Runge-Kutta, Three-Dimensional Graphics, Tutorial Introduction, The Sierpinski Carpet, Karl Weierstrass, Euler Error, San Francisco, The von Koch, Two-Dimensional First-Order Systems, Error Cap
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Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
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