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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. A.
This free software had an earlier incarnation, Macsyma. Developed by Massachusetts Institute of Technology in the 1960s, it was maintained by William Schelter from 1982 to 2001. In 1998, Schelter obtained permission to release Maxima as open-source software under the GNU General Public license and the source code was released later that year ...
Audible has a 30-day free trial available right now. ... The page included a sample program written in BASIC telling the computer how to add two numbers. ... Get the book here: "Source Code: My ...
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.
Recognizing that their Numerical Recipes books were increasingly valued more for their explanatory text than for their code examples, the authors significantly expanded the scope of the book, and significantly rewrote a large part of the text. They continued to include code, still printed in the book, now in C++, for every method discussed. [5]
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.
Similar books for popular audiences (but with a much lighter tone) included Bob Albrecht's My Computer Loves Me When I Speak BASIC (1972), Al Kelley and Ira Pohl's A Book on C (1984), and Dan Gookin's C for Dummies (1994). Beyond language-specific primers, there were numerous books and academic journals that introduced professional programming ...
This is a list of books in computational geometry. There are two major, largely nonoverlapping categories: There are two major, largely nonoverlapping categories: Combinatorial computational geometry , which deals with collections of discrete objects or defined in discrete terms: points, lines, polygons, polytopes, etc., and algorithms of ...
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