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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

Finite differencing


The first step in our numerical implementation of the solver is to discretize the spatial coordinates into grid points (or nodes). The one-dimensional case is shown in the figure below, where the x coordinate is discretized into Ngrid grid points:

If the distance between the grid points Δ x is constant, it can easily be seen that it is given by L/(Ngrid 1). With this arrangement, the second order derivative of ϕ at x = x0 can then be approximated by an algebraic equation:

(6.9)

where i is then the grid point located at x0. This approximation is said to be of second order accuracy and is considered to be a good approximation for sufficiently small Δ x, or equivalently, for a large number of grid points. Equation (6.9) is called the finite difference approximation to the second order derivative ∂2ϕ/∂x2. It comes from the basic definition of the derivative of a function, so no magic here. See the references listed in the beginning of this chapter, if you are curious.

If we...

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