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GNU Octave Beginner's Guide

GNU Octave Beginner's Guide: Become a proficient Octave user by learning this high-level scientific numerical tool from the ground up

By Jesper Schmidt Hansen
$28.99 $19.99
Book Jun 2011 280 pages 1st Edition
eBook
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eBook
$28.99 $19.99
Print
$48.99
Subscription
$15.99 Monthly

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Product Details


Publication date : Jun 21, 2011
Length 280 pages
Edition : 1st Edition
Language : English
ISBN-13 : 9781849513326
Category :
toc View table of contents toc Preview Book

Key benefits

  • The easiest way to use GNU Octave's power and flexibility for data analysis
  • Work with GNU Octave's interpreter ‚Äì declare and control mathematical objects like vectors and matrices
  • Rationalize your scripts and control program flow
  • Extend GNU Octave and implement your own functionality
  • Get to know the vast built-in functionality that GNU Octave has to offer
  • Build your own GNU Octave toolbox package to solve complex problems
  • Learn Octave the simple way, with real-world examples and plenty of screenshots provided throughout the book

Description

Today, scientific computing and data analysis play an integral part in most scientific disciplines ranging from mathematics and biology to imaging processing and finance. With GNU Octave you have a highly flexible tool that can solve a vast number of such different problems as complex statistical analysis and dynamical system studies.The GNU Octave Beginner's Guide gives you an introduction that enables you to solve and analyze complicated numerical problems. The book is based on numerous concrete examples and at the end of each chapter you will find exercises to test your knowledge. It's easy to learn GNU Octave, with the GNU Octave Beginner's Guide to hand.Using real-world examples the GNU Octave Beginner's Guide will take you through the most important aspects of GNU Octave. This practical guide takes you from the basics where you are introduced to the interpreter to a more advanced level where you will learn how to build your own specialized and highly optimized GNU Octave toolbox package. The book starts by introducing you to work variables like vectors and matrices, demonstrating how to perform simple arithmetic operations on these objects before explaining how to use some of the simple functionality that comes with GNU Octave, including plotting. It then goes on to show you how to write new functionality into GNU Octave and how to make a toolbox package to solve your specific problem. Finally, it demonstrates how to optimize your code and link GNU Octave with C and C++ code enabling you to solve even the most computationally demanding tasks. After reading GNU Octave Beginner's Guide you will be able to use and tailor GNU Octave to solve most numerical problems and perform complicated data analysis with ease.

What you will learn

Work with the Octave interpreter Declare and control different variable types Use arithmetic operations between variables Use logical operations Control the program flow Write scripts Implement new functions Perform complex data analysis Write your own toolbox package Optimize your code

What do you get with eBook?

Feature icon Instant access to your Digital eBook purchase
Feature icon Download this book in EPUB and PDF formats
Feature icon Access this title in our online reader with advanced features
Feature icon DRM FREE - Read whenever, wherever and however you want
Buy Now

Product Details


Publication date : Jun 21, 2011
Length 280 pages
Edition : 1st Edition
Language : English
ISBN-13 : 9781849513326
Category :

Table of Contents

15 Chapters
GNU Octave Packt Packt
Credits Packt Packt
About the Author Packt Packt
About the Reviewers Packt Packt
www.PacktPub.com Packt Packt
Preface Packt Packt
Introducing GNU Octave Packt Packt
Interacting with Octave: Variables and Operators Packt Packt
Working with Octave: Functions and Plotting Packt Packt
Rationalizing: Octave Scripts Packt Packt
Extensions: Write Your Own Octave Functions Packt Packt
Making Your Own Package: A Poisson Equation Solver Packt Packt
More Examples: Data Analysis Packt Packt
Need for Speed: Optimization and Dynamically Linked Functions Packt Packt
Pop quiz - Answers Packt Packt
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