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Mathematica :a practical approachby Nancy Blachman
Synopses & Reviews
Mathematica is a software program that provides the means for solving mathematical problems commonly faced by scientists, engineers, and mathematicians. This guide is designed to help professionals use Mathematica to simplify such tasks as finding appropriate commands, manipulating expressions, visualizing functions and data, writing functions and packages, and importing and exporting data. Though written with the new user in mind, it contains information of interest to those who have experience with the program, including research scientists and engineers and mathematicians.
Includes bibliographical references (p. 309-311) and index.
About the Author
NANCY BLACHMAN is one of the nation's leading Mathematica trainers. In 1989, after working at Wolfram Research Inc., Ms. Blachman founded her own company, Variable Symbols, Inc., to provide both individual and group training in Mathematica to scientists and engineers. She teaches classes in Mathematica at Stanford University and is an invited speaker at conference and workshops on Mathematica. She has written four popular Mathematica books. She holds degrees in mathematics, operations research, and computer science from the University of Birmingham (UK), the University of California at Berkeley, and Stanford University.
COLIN WILLIAMS has used Mathematica intensively since 1990 and has given numerous Mathematica tutorials to banks and engineering research labs. He recently co-wrote CalcLabs with Mathematica with Nancy Blachman, and Explorations in Quantum Computing with Scott Clearwater. Colin also teaches Mathematica at Stanford University. Colin holds a Ph.D. is artificial intelligence and advanced degrees in physics and atmospheric dynamics. He was a research scientist at Xerox PARC and a former research assistant to Prof. Stephen Hawking of Cambridge University.
Table of Contents
1. Introduction to Mathematica.
2. Numerical Capabilities.
3. Algebraic or Symbolic Capabilities.
5. Getting Around.
6. Lists, Matrices, and Vectors.
8. Data Types.
9. Wiring Functions.
10. Local Variable and Procedural Programming.
11. Pattern Matching.
12. Anonymous (Pure) Functions.
13. Traps, Pitfalls and Debugging.
14. Input and Output.
Answers to Exercises.
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