Our systems are now restored following recent technical disruption, and we’re working hard to catch up on publishing. We apologise for the inconvenience caused. Find out more

Recommended product

Popular links

Popular links


Mathematica ® in the Laboratory

Mathematica ® in the Laboratory

Mathematica ® in the Laboratory

Samuel Dick, Royal Greenwich Observatory, Cambridge
Alfred Riddle, Macallan Consulting, California
Douglas Stein, Addison Wesley Interactive
May 1997
Available
Paperback
9780521499064
$84.00
USD
Paperback
USD
Hardback

    Mathematica in the Laboratory is a hands-on guide that demonstrates how to acquire and analyze experimental data with Mathematica. It explains how Mathematica can be used to visualize and analyze newly-taken or historical data, compare theory with experiment, and control data acquisition equipment. It provides practical examples that can be taken directly or adapted to suit a particular application. The book lucidly explains how Mathematica can provide a truly unified data-handling environment and will be of value to anyone who collects and analyzes experimental data, including astronomers, biologists, chemists, mathematicians, geologists, physicists, and engineers.

    • Shows how Mathematica can be used for instrument control and data acquisition, as well as data assessment and analysis
    • Fully compatible with version 3.0 of Mathematica
    • Provides many worked examples that can be used 'as is' or as the starting point for specific applications
    • Dick and Riddle are authors of 'Applied Electronic Engineering with Mathematica'; Stein was one of the developers of Mathematica

    Reviews & endorsements

    "Recommended for those who want to use Mathematica in the context of a working scientific laboratory." S.J. Colley, Choice

    See more reviews

    Product details

    May 1997
    Hardback
    9780521581370
    340 pages
    260 × 184 × 23 mm
    0.85kg
    127 b/w illus. 5 tables
    Available

    Table of Contents

    • 1. Importing data from files
    • 2. Visualizing data
    • 3. Data analysis
    • 4. Generating test data
    • 5. Exporting data
    • 6. Introduction to instrument control and data acquisition
    • 7. Understanding MathLink
    • 8. Interfacing I: a simple serial link
    • 9. Interfacing II: more advanced links
    • 10. Interface hardware design
    • Appendix.
      Authors
    • Samuel Dick , Royal Greenwich Observatory, Cambridge
    • Alfred Riddle , Macallan Consulting, California
    • Douglas Stein , Addison Wesley Interactive