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GNU Octave Beginner's Guide

GNU Octave Beginner's Guide

By : Jesper Schmidt Hansen
4.2 (19)
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GNU Octave Beginner's Guide

GNU Octave Beginner's Guide

4.2 (19)
By: Jesper Schmidt Hansen

Overview of this book

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.
Table of Contents (15 chapters)
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GNU Octave
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface

Chapter 8. Need for Speed: Optimization and Dynamically Linked Functions

As we have seen a few times already, as long as you vectorize your code1 and use Octave's built-in functionality, there is little you can do to make your code run significantly faster. This is the way it should be. Octave is primarily designed for scientists and engineers, and they should worry about the science, not how to tweak the code for it to perform better. Sometimes, however, you can end up with numerical problems that are not easy or even impossible to vectorize or where no built-in functionality exists. In this chapter, you will see what possibilities you have in these situations.

The chapter is divided into two parts explaining the two main approaches you can consider, namely:

  1. 1. Optimizing the Octave code.

  2. 2. Implementing the code in a lower level programming language like C or C++ and linking this to Octave's workspace using Octave's C++ library and interface.

It should be mentioned that Octave has no profiler...

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