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Pages in category "Articles with example MATLAB/Octave code" The following 40 pages are in this category, out of 40 total. This list may not reflect recent changes .
MATLAB allows matrix manipulations, plotting of functions and data, implementation of algorithms, creation of user interfaces, and interfacing with programs written in other languages. Although MATLAB is intended primarily for numeric computing, an optional toolbox uses the MuPAD symbolic engine allowing access to symbolic computing abilities.
The GNU Data Language is a free alternative. ILNumerics.Net, a C# math library that brings numeric computing functions for science, engineering and financial analysis to the .NET Framework. KPP generates Fortran 90, FORTRAN 77, C, or Matlab code for the integration of ordinary differential equations (ODEs) resulting from chemical reaction ...
The code examples used in the book are taken from real-life software and uses C to illustrate basic concepts. Excerpts from prominent open-source code systems like the Apache Web server, the hsqldb Java relational database engine, the NetBSD Unix distribution, the Perl language, the Tomcat application server, and the X Window System are presented.
GNU Octave is a scientific programming language for scientific computing and numerical computation.Octave helps in solving linear and nonlinear problems numerically, and for performing other numerical experiments using a language that is mostly compatible with MATLAB.
Source code is written in one or more programming languages. The purpose of programming is to find a sequence of instructions that will automate performing a specific task or solving a given problem. The purpose of programming is to find a sequence of instructions that will automate performing a specific task or solving a given problem.
The books are also gaining some popularity for classroom use [citation needed] because of their novel approach to their subject matters. The official web site for the Head First series has forums for each book as well as code downloads and sample chapters. They include: Head First Agile (ISBN 978-1449314330) by Andrew Stellman and Jennifer Greene
(A preface note in “Examples" mentions that the main book was also published in 1985, but the official note in that book says 1986.) Supplemental editions followed with code in Pascal, BASIC, and C. Numerical Recipes took, from the start, an opinionated editorial position at odds with the conventional wisdom of the numerical analysis community: