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Computational Physics (Fortran Version)

Computational Physics (Fortran Version)

Computational Physics (Fortran Version)
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Computational Physics (Fortran Version) Paperback - 1990

by Steven E. Koonin and Dawn C. Meredith

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Used - Near Fine with no dust jacket

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Boulder, CO: Perseus Group Westview Press: Advanced Book Program. Near Fine with no dust jacket. 1990. 1st Edition; Eighth Printing. Paperback. Very Near Fine in Wraps: a very mild nudge to the upper corner of the rear panel; a hint of wear to the extremities overall; else flawless; the binding is square and secure; the text is clean. Free of creases to the panels. Free of creases to the backstrip. Free of creased or dog-eared pages in the text. Free of any underlining, hi-lighting or marginalia or marks in the text. Free of ownership names, dates, addresses, notations, inscriptions, stamps, or labels. A handsome, nearly-new copy, structurally sound and tightly bound, showing the mildest wear. Very close to 'As New', and could easily pass for such. NOT a Remainder, Book-Club, or Ex-Library. 8vo (8.85 x 6 x 1.3 inches) . Language: English. Weight: 30 ounces. Paperback. ; 8vo 8" - 9" tall; xvi, 639 pages .
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Details

  • Title Computational Physics (Fortran Version)
  • Author Steven E. Koonin and Dawn C. Meredith
  • Binding Paperback
  • Edition 1st Edition; Eighth Printing
  • Condition Used - Near Fine with no dust jacket
  • Pages 656
  • Volumes 1
  • Language ENG
  • Publisher Perseus Group Westview Press: Advanced Book Program, Boulder, CO
  • Publication date 1990
  • Bookseller's Inventory # 58295
  • ISBN 9780201386233 / 0201386232
  • Weight 1.9 lbs (0.86 kg)
  • Dimensions 9 x 6 x 1.32 in (22.86 x 15.24 x 3.35 cm)
  • Category Science
  • Library of Congress Catalogue Number 00000000
  • Dewey Decimal Code 530.150
  • Quantity available 1
  • Bookseller catalogues Science

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Reader reviews for Computational Physics (Fortran Version)

From the publisher

Computational Physics is designed to provide direct experience in the computer modeling of physical systems. Its scope includes the essential numerical techniques needed to "do physics" on a computer. Each of these is developed heuristically in the text, with the aid of simple mathematical illustrations. However, the real value of the book is in the eight Examples and Projects, where the reader is guided in applying these techniques to substantial problems in classical, quantum, or statistical mechanics. These problems have been chosen to enrich the standard physics curriculum at the advanced undergraduate or beginning graduate level. The book will also be useful to physicists, engineers, and chemists interested in computer modeling and numerical techniques. Although the user-friendly and fully documented programs are written in FORTRAN, a casual familiarity with any other high-level language, such as BASIC, PASCAL, or C, is sufficient. The codes in BASIC and FORTRAN are available on the web at http: //www.computationalphysics.info (Please follow the link at the bottom of the page). They are available in zip format, which can be expanded on UNIX, Window, and Mac systems with the proper software. The codes are suitable for use (with minor changes) on any machine with a FORTRAN-77 compatible compiler or BASIC compiler. The FORTRAN graphics codes are available as well. However, as they were originally written to run on the VAX, major modifications must be made to make them run on other machines.

First line

Three numerical operations-differentiation, quadrature, and the finding of roots-are central to most computer modeling of physical systems.

About the author

Steven Koonin is Professor of Theoretical Physics and Provost at California Institute of Technology, where he has been a member of the faculty since 1975. He received his BS in physics from Caltech in 1972 and his Ph.D. in theoretical nuclear physics from MIT in 1975. Dr. Koonin's research interests include the theoretical description of nuclei and atoms. He is the author or co-author of numerous published papers and books, many involving large-scale numerical computation. Dawn Meredith is Associate Professor of Physics at the University of New Hampshire. She received her BA degree in Liberal Arts from St. John's College in Santa Fe, New Mexico and her Ph.D. degree in Physics from the California Institute of Technology. Dr. Meredith's research began in the study of nonlinear dynamics, and now focuses on physics education.
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