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Cover

Getting Started with MATLAB

A Quick Introduction for Scientists and Engineers

Seventh Edition

Rudra Pratap

Publication Date - August 2016

ISBN: 9780190602062

320 pages
Paperback
7-1/2 x 9-1/4 inches

In Stock

Retail Price to Students: $59.99

A quick, simple, manual-style introduction to the latest version of MATLAB

Description

MATLAB, a software package for high-performance numerical computation and visualization, is one of the most widely used tools in the engineering field today. Its broad appeal lies in its interactive environment, which features hundreds of built-in functions for technical computation, graphics, and animation. In addition, MATLAB provides easy extensibility with its own high-level programming language.

Enhanced by fun and appealing illustrations, Getting Started with MATLAB: A Quick Introduction for Scientists and Engineers, Seventh Edition, employs a casual, accessible writing style that shows users how to enjoy using MATLAB.

New to this Edition

  • Updated for MATLAB Release 2016a
  • Expanded coverage of applications into three chapters: Algebraic Equations, Data Analysis and Regression, and Differential Equations
  • Streamlined coverage of MATLAB topics

About the Author(s)

Rudra Pratap is Professor of Mechanical Engineering at the Indian Institute of Science.

Previous Publication Date(s)

November 2009
August 2005
November 2001

Reviews

"The figures and examples are the best part of this text. Clear and concise, they convey the material in a meaningful way."--Trevor S. Elliott, University of Tennessee at Chattanooga

"I have tried a number of other introductory MATLAB texts and this book stands out in comparison. After just one hour of sitting with the book and trying out MATLAB, students will feel comfortable using the software."--Shahriar Anwar, Arizona State University

Table of Contents

    1. Introduction
    2. Tutorial Lessons
    3. Interactive Computation
    4. Programming in MATLAB: Scripts and Functions
    5. Graphics
    6. Algebraic Equations
    7. Data Analysis and Regression
    8. Differential Equations
    9. Computer Algebra and The Symbolic Math Toolbox
    10. Errors
    11. Honorable Mentions
    Appendix A The MATLAB Language Reference
    Bibliography
    Index

Related Titles

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