Numeric Analysis. Gnuplot 4.2 Tutorial. Department of Civil and Environmental Engineering Edmund T.
Pratt School of Engineering Duke University - Box 90287, Durham, NC 27708-0287 1. INSTALLING AND STARTING GNUPLOT - version 4.2 Gnuplot is a free, command-driven, interactive, function and data plotting program. Pre-compiled executeables and source code for Gnuplot 4.2.4 may be downloaded for OS X, Windows, OS2, DOS, and Linux. On Windows, unzip gp424win32.zip into an appropriate directory, (e.g.
Instructions for installing on OS X are here. On Unix, Linux and OS X systems start Gnuplot by simply opening a terminal and typing: gnuplot For help on any topic type help followed by the name of the topic. In general, any mathematical expression accepted by C, FORTRAN, Pascal, or BASIC may be plotted. The supported functions include: The supported operators in Gnuplot are the same as the corresponding operators in the C programming language, except that most operators accept integer, real, and complex arguments.
Math-slacko.sfs. Octave Programming Tutorial. From the Octave website: Octave is a high-level language, primarily intended for numerical computations.
It provides a convenient command line interface for solving linear and nonlinear problems numerically, and for performing other numerical experiments using a language that is mostly compatible with Matlab. It may also be used as a batch-oriented language.Octave has extensive tools for solving common numerical linear algebra problems, finding the roots of non-linear equations, integrating ordinary functions, manipulating polynomials, and integrating ordinary differential and differential-algebraic equations. It is easily extensible and customizable via user-defined functions written in Octave's own language, or using dynamically loaded modules written in C++, C, Fortran, or other languages.
The purpose of this collection of tutorials is to get you through most (and eventually all) of the available Octave functionality from a basic level. The available tutorials are in any order. Octave Forge - Browse /Octave Forge Packages/Individual Package Releases at SourceForge.net. An R Introduction to Statistics. Maxima Tutorial. Preliminary version from Feb 15, 2005; revised Aug 28, 2005.
Distribution is encouraged, comments are welcome and should be mailed to the editor. Editor: Boris.Gaertner@gmx.net This tutorial covers the use of Maxima. Apart from own material, it uses - in modified form - material from the homepage of William F. Schelter (see: the late maintainer of Maxima. Where to Start: If you do not have a copy of Maxima, but want to have one, you should read the download information. For a first try of Maxima, you may wish to try the examples in First Steps with Maxima. The use of a computer algebra program is not always easy. Other Resources for Self-Assessment A script "Maxima Guide for Calculus Students" (in PDF) can be downloaded from the internet page of Moses Glasner: Mathematics. R and Matlab programming. Statistics (Programming Tools) Computer Engineering. Math Software. Computer Science.