First Course in Scientific Computing by Rubin H. Landau
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First Course in Scientific Computing
By Rubin H. Landau

A First Course in Scientific Computing

Symbolic, Graphic, and Numeric Modeling Using Maple, Java, Mathematica, and Fortran90

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Format: Hardback

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First Course in Scientific Computing by Rubin H. Landau

Book Awards

  • Shortlisted for Choice Magazine Outstanding Reference/Academic Book Award 2005.

Book Description

This book offers a new approach to introductory scientific computing. It aims to make students comfortable using computers to do science, to provide them with the computational tools and knowledge they need throughout their college careers and into their professional careers, and to show how all the pieces can work together. Rubin Landau introduces the requisite mathematics and computer science in the course of realistic problems, from energy use to the building of skyscrapers to projectile motion with drag. He is attentive to how each discipline uses its own language to describe the same concepts and how computations are concrete instances of the abstract. Landau covers the basics of computation, numerical analysis, and programming from a computational science perspective. The first part of the printed book uses the problem-solving environment Maple as its context, with the same material covered on the accompanying CD as both Maple and Mathematica programs; the second part uses the compiled language Java, with equivalent materials in Fortran90 on the CD; and the final part presents an introduction to LaTeX replete with sample files. Providing the essentials of computing, with practical examples, A First Course in Scientific Computing adheres to the principle that science and engineering students learn computation best while sitting in front of a computer, book in hand, in trial-and-error mode. Not only is it an invaluable learning text and an essential reference for students of mathematics, engineering, physics, and other sciences, but it is also a consummate model for future textbooks in computational science and engineering courses. * A broad spectrum of computing tools and examples that can be used throughout an academic career * Practical computing aimed at solving realistic problems * Both symbolic and numerical computations * A multidisciplinary approach: science + math + computer science * Maple and Java in the book itself; Mathematica, Fortran90, Maple and Java on the accompanying CD in an interactive workbook format

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Book Details

ISBN: 9780691121833
ISBN-10: 0691121834
Format: Hardback
(254mm x 178mm x 33mm)
Pages: 512
Imprint: Princeton University Press
Publisher: Princeton University Press
Publish Date: 11-Apr-2005
Country of Publication: United States

Books By Author Rubin H. Landau

Computational Physics by Rubin H. Landau Computational Physics, Paperback (July 2015)

The use of computation and simulation has become an essential part of the scientific process. Being able to transform a theory into an algorithm requires significant theoretical insight, detailed physical and mathematical understanding, and a working level of competency in programming.

Survey of Computational Physics by Rubin H. Landau Survey of Computational Physics, Hardback (June 2008)

Presenting a survey of key topics in computational physics, this work includes discussions of visualization tools, wavelet analysis, molecular dynamics, and computational fluid dynamics. It also includes a CD-ROM with supplementary materials, including Java, Fortran, and C programs.

Quantum Mechanics II by Rubin H. Landau Quantum Mechanics II, Paperback (December 1995)

This revised and updated textbook has been designed for advanced quantum physics courses. It includes discussion of scattering and integral quantum mechanics, relativistic quantum mechanics, quantum fields and many-body theory.

» View all books by Rubin H. Landau

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Author Biography - Rubin H. Landau

Rubin H. Landau is Distinguished Professor of Physics and Director of the Computational Physics Program at Oregon State University. He is the lead author of "Computational Physics: Problem Solving with Computers; A Scientist's and Engineer's Guide to Workstations and Supercomputers;" and "Quantum Mechanics II: A Second Course in Quantum Theory."

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