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Applied Mathematica: Getting Started, Getting It Done
Authors

William T. Shaw
Organization: King's College, University of London
Department: Department of Mathematics
URL: http://www.mth.kcl.ac.uk/staff/w_shaw.html
Jason Tigg
Organization: Merril Lynch Europe Ltd.
Book information

Publisher: Addison-Wesley
Copyright year: 1994
ISBN: 020154217X
Medium: Paperback
Pages: 432
Out of print?: Y
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Contents

Getting a Quick Start | Importing Data into Mathematica | Organizing Information in Mathematica | Visualizing Data in Two Dimensions | Processing Information in Mathematica | Visualizing Data in Three or More Dimensions | Exporting Results from Mathematica | Different Programming Styles | Important Built-in Structures | Function Definitions | Procedural Methods | Rule-Based Schemes and Iteration | Contexts and Packages | Increased Efficiency | Case Studies: Robust Regression, Transform Calculus, Time Series Analysis, Probabilistic System Assessment, Visualization of the Mandelbrot Set, Maximum Entropy Reconstruction, Digital Image Reconstruction
Description

Shows how to solve complex, practical problems in engineering, finance, environmental engineering, and image processing. Provides a quick start for scientists and engineers.

The electronic supplements contains the longer code sections from this book, including specialized graphics, several MathLink examples (including C code and template files), and some extended data analysis examples.
Subjects

*Applied Mathematics
*Mathematica Technology > Programming
Keywords

Electronic Supplements, Mathematica books, applied, Mathematica, publications, business, finance, economics, college courseware, graduate courseware, data analysis, general utilities, general utilities, life sciences, Pure mathematics, applied mathematics, engineering, physics, programming, mathlink, fractals, examples
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Chap04.nb (273.6 KB) - Visualizing data in two dimensions
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Chap07.nb (22.3 KB) - Exporting results from Mathematica
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Chap14.nb (6.7 KB) - Increased efficiency
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Chap15.nb (132.2 KB) - Robust regression: an application of Mathematica to data analysis
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Chap17.nb (931.7 KB) - Time series snalysis
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Chap18.nb (134.1 KB) - Probabilistic system assessment
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Chap19.nb (50.3 KB) - Visualization of the mandelbrot set
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README.nb (4.6 KB) - Author's comments

Files specific to Mathematica 2.2 version:
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Chap04.ma (123.6 KB) - Visualizing data in two dimensions
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Chap07.ma (14.1 KB) - Exporting results from Mathematica
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Chap14.ma (6.4 KB) - Increased efficiency
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Chap15.ma (53.9 KB) - Robust regression: an application of Mathematica to data analysis
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Chap17.ma (796.6 KB) - Time series snalysis
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Chap18.ma (56.3 KB) - Probabilistic system assessment
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Chap19.ma (37.6 KB) - Visualization of the mandelbrot set
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README.ma (4.8 KB) - Author's comments