A First Course in Scientific Computing: Symbolic, Graphic, and Numeric Modeling Using Maple, Java, Mathematica, and Fortran90

Awards:   Commended for Choice Magazine Outstanding Reference/Academic Book Award 2005. Runner-up for Choice Magazine Outstanding Reference/Academic Book Award 2005. Short-listed for Choice Magazine Outstanding Reference/Academic Book Award 2005 Short-listed for Choice's Outstanding Academic Titles 2005 (United States) Shortlisted for Choice Magazine Outstanding Reference/Academic Book Award 2005.
Author:   Rubin Landau
Publisher:   Princeton University Press
Edition:   with CD-ROM
ISBN:  

9780691121833


Pages:   512
Publication Date:   01 May 2005
Format:   Hardback
Availability:   Temporarily unavailable   Availability explained
The supplier advises that this item is temporarily unavailable. It will be ordered for you and placed on backorder. Once it does come back in stock, we will ship it out to you.

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A First Course in Scientific Computing: Symbolic, Graphic, and Numeric Modeling Using Maple, Java, Mathematica, and Fortran90


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Awards

  • Commended for Choice Magazine Outstanding Reference/Academic Book Award 2005.
  • Runner-up for Choice Magazine Outstanding Reference/Academic Book Award 2005.
  • Short-listed for Choice Magazine Outstanding Reference/Academic Book Award 2005
  • Short-listed for Choice's Outstanding Academic Titles 2005 (United States)
  • Shortlisted for Choice Magazine Outstanding Reference/Academic Book Award 2005.

Overview

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.

Full Product Details

Author:   Rubin Landau
Publisher:   Princeton University Press
Imprint:   Princeton University Press
Edition:   with CD-ROM
Dimensions:   Width: 17.80cm , Height: 3.40cm , Length: 25.40cm
Weight:   1.049kg
ISBN:  

9780691121833


ISBN 10:   0691121834
Pages:   512
Publication Date:   01 May 2005
Audience:   Professional and scholarly ,  College/higher education ,  Professional & Vocational ,  Tertiary & Higher Education
Format:   Hardback
Publisher's Status:   Active
Availability:   Temporarily unavailable   Availability explained
The supplier advises that this item is temporarily unavailable. It will be ordered for you and placed on backorder. Once it does come back in stock, we will ship it out to you.
Language:   English

Table of Contents

Reviews

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


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


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


Author Information

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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