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GNU Octave Beginner's Guide

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

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Product type Paperback
Published in Jun 2011
Publisher Packt
ISBN-13 9781849513326
Length 280 pages
Edition 1st Edition
Languages
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Author (1):
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Jesper Schmidt Hansen Jesper Schmidt Hansen
Author Profile Icon Jesper Schmidt Hansen
Jesper Schmidt Hansen
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Table of Contents (15) Chapters Close

GNU Octave
Credits
About the Author
About the Reviewers
1. www.PacktPub.com
2. Preface
1. Introducing GNU Octave FREE CHAPTER 2. Interacting with Octave: Variables and Operators 3. Working with Octave: Functions and Plotting 4. Rationalizing: Octave Scripts 5. Extensions: Write Your Own Octave Functions 6. Making Your Own Package: A Poisson Equation Solver 7. More Examples: Data Analysis 8. Need for Speed: Optimization and Dynamically Linked Functions Pop quiz - Answers

Time for action - using lsode for numerical integration


  1. 1. Since we have an autonomous system, we can simply use the function given in Code Listing 5.5 as input to lsode. First,we specify the time vector array to contain 200 elements equally spaced from 0 to 50 as well as the initial condition:

octave:26>global_b = 1; t = linespace(0,50,200); init = [0.4 0.2];
  1. 2. Next we call lsode to obtain a numerical solution to the Sel'kov model:

octave:27> x = lsode("selkov", init, t);
  1. 3. Now, the output variable x contains the solutions to x1 and x2 in a column-wise manner, meaning column one is the solution for x1 and column two for x2. We can then plot the columns versus the time vector array, for example:

2See http://www.netlib.org/alliant/ode/prog/lsode.f

octave:28> plot(t, x(:,1), "-r", "linewidth", 5, t, x(:,2), "-b", "linewidth", 5);
  1. 4. The result (or something close to it, depending on your plotting program) is shown in the left-hand side window in the figure below.

    If we repeat Commands...

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