GNU Octave Beginner's Guide

• 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

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.

• The easiest way to use GNU Octave's power and flexibility for data analysis
• Work with GNU Octave's interpreter – 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