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A First Course in Computational Physics, Second Edition

Author(s): Paul L. DeVries, Miami University, Ohio
Javier E. Hasbun, PhD, University of West Georgia
Details:
  • ISBN-13: 9780763773144
  • Hardcover    433 pages      © 2011
Price: International Sales $143.95 US List
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Overview

Computers and computation are extremely important components of physics and should be integral parts of a physicist’s education. Furthermore, computation physics is reshaping the way calculations are made in all areas of physics. Intended for the physics and engineering students who have completed the introductory physics course, A First Course in Computational Physics, Second Edition covers the different types of computational problems using MATLAB with exercises developed around problems of physical interest.

Topics such as root finding, Newton-Cotes integration, and ordinary differential equations are included and presented in the context of physics problems. A few topics rarely seen at this level such as computerized tomography, are also included. Within each chapter, the student is led from relatively elementary problems and simple numerical approaches through derivations of more complex and sophisticated methods, often culminating in the solution to problems of significant difficulty. The goal is to demonstrate how numerical methods are used to solve the problems that physicists face.

An Instructor's Manual is available.  Request instructor access below in the "Resources" section.

Look to the Samples tab below to read the review published in Computing in Science & Engineering magazine, March/April 2011 (Vol. 13, No. 2) © 2011 IEEE, Published by the IEEE Computer Society.

ShowKey Features

  • Completely revised and updated to reflect the use of MATLAB
  • Second Edition includes new sections on chaos, and more examples in the areas of classical mechanics and quantum mechanics
  • Discusses computerized tomography, a topic that is rarely seen at this level
  • Contains many more examples of code, which the text refers to as fragments
  • Accompanying CD-ROM contains code fragments that are solutions to the end of chapter exercises (MATLAB files) and an appendix featuring the draContours function
  • Instructor Resources include complete solutions to all the exercises and comments regarding the various exercises

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ShowTable of Contents

  Chapter 1  Introduction
  Chapter 2  Functions and Roots
  Chapter 3  Interpolation and Approximation
  Chapter 4  Numerical Integration
  Chapter 5  Ordinary Differential Equations
  Chapter 6  Fourier Analysis
  Chapter 7  Partial Differential Equations
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ShowAbout the Author(s)

Paul L. DeVries-Miami University, Ohio

Paul L. DeVries received his Ph.D. from the University of Texas at Austin, and is currently a Professor of Physics at MiamiUniversity in Oxford, OhioHe is actively involved with liberal education and the Honors program, and regularly teaches courses in Astronomy, and the History of Astronomy, to liberal arts students.  However, his primary interests are in computational physics, including image analysis, and in teaching the art of computational physics to the next generation of physicists.

 

Javier E. Hasbun, PhD-University of West Georgia

Javier E. Hasbun has a PhD in physics from the State University of New York at Albany. He is a professor of physics at the University of West Georgia where he has been teaching physics for the past 15 years. He is a member of the American Physical Society, Sigma Xi Scientific Research Soceity, and the Georgia Academy of Science. He has over 30 publications in professional journals and over 70 presentations dealing with teaching and/or research in physics.

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ShowReviews

  • Now in a newly updated and expanded second edition, and enhanced for the student with an accompanying CD, an appendix, and an index, "A First Course In Computational Physics" is an ideal and highly recommended curriculum textbook.

    -Midwest Book Review

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ShowAppropriate Courses

This text is ideal for courses titled Computational Physics, Classical Mechanics, Electricity and Magnetism, Optics, Quantum Mechanics, Solid State Physics, and courses within the Engineering Dept. where the computational techniques are used to solve problems.

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ShowSamples & Additional Resources

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ShowResources

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