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

This book fills an important niche for the undergraduate by providing a well-organized, well-written introduction to a subject usually addressed in books for graduate students. Its problem-based approach to programming in Maple and Java, using common physics problems in a multitude of areas such as mechanisms, electromagnetism, and relativity, is very effective method of instruction. -- Gregory Moses, University of Wisconsin-Madison This easy-to-follow book is novel in being a hands-on workbook rather than a standard textbook. Importantly, it integrates scientific examples with a discussion of programming techniques and algorithm design. By having the student read it while sitting down at the computer, it offers immediate feedback. It is also unusual in using and comparing two very different approaches, Maple and Java. -- Jan Tobochnik, Kalamazoo College, coauthor of "An Introduction to Computer Simulation Methods" and Editor of the "American Journal of Physics"

About the Author
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."

Reviews
One of Choice's Outstanding Academic Titles for 2005 "Essential... Rubin Landau offers a practical introduction to the world of scientific computing or numerical analysis. He introduces not only the concepts of numerical analysis, but also more importantly the tools that can be used to perform scientific computing... The presentation is particularly useful because real-life examples with real code and results are included."--Choice "Not only is [this book] 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."--Mathematical Reviews "The contents can be taught in lab-based courses at the undergraduate level. Much of the material covered is usually addressed in separate books. Therefore, the book is also suitable for independent study by graduate students and professional who wish to learn one or more of the languages in a comprehensive way with the emphasis kept on problem-solving."--Frits Agterberg, Computers and Geosciences "The colloquial and tutorial approach might help alleviate the many practical problems associated with incorporating computational applications into a more traditional lecture environment. The text provides many concrete and programming examples in action and illustrates how much you can accomplish with a few well-chosen tools... [S]tudents impressed with the text's workbook style and reference book quality will add it to their bookshelves and return to it often."--Michael Jay Schillaci, IEEE Computing in Science and Engineering


Awards
Short-listed for Choice Magazine Outstanding Reference/Academic Book Award 2005.



Book Information
ISBN 9780691121833
Author Rubin Landau
Format Hardback
Page Count 512
Imprint Princeton University Press
Publisher Princeton University Press
Weight(grams) 1049g