Wolfram Mathematica Wikipedia. Wolfram Mathematica. Mathematica 8. 0. Linux frontend. DevelopersWolfram Research. Initial release. June 2. Stable release. 11. September 1. 4, 2. Sept 1. 4, 2. 01. Written in. Wolfram Language,3CC, Java and Mathematica4Platform. occurrence of search term weighted by field name, summary, keywords, description, author, maintainer. What is a cell array Edit. A cell is a flexible type of variable that can hold any type of variable. A cell array is simply an array of those cells. Windows 7, 8, 1. OS, Linux, Raspbian, online service. 5 All platforms support 6. Available in. English, Chinese, Japanese. Type. Computer algebra, numerical computations, information visualization, statistics, user interface creation. License. Proprietary. Websitewww. wolfram. Wolfram Mathematica usually termed Mathematica, Mathematica software suite is a mathematical symbolic computation program, sometimes termed a computer algebra system or program, used in many scientific, engineering, mathematical, and computing fields. It was conceived by Stephen Wolfram and is developed by Wolfram Research of Champaign, Illinois. 78 The Wolfram Language is the programming language used in Mathematica. 9FeatureseditFeatures of Wolfram Mathematica include 1. Libraries of mathematical elementary functions and special functions. Support for complex number, arbitrary precision arithmetic, interval arithmetic, and symbolic computation. Matrix and data manipulation tools including support for sparse arrays. D and 3. D data, function and geo visualization and animation tools. Solvers for systems of equations, diophantine equations, ordinary differential equations ODEs, partial differential equations PDEs, differential algebraic equations DAEs, delay differential equations DDEs, stochastic differential equations SDEs, and recurrence relations. Finite element analysis including 2. D and 3. D adaptive mesh generation. Numeric and symbolic tools for discrete and continuous calculus including continuous and discrete integral transforms. Constrained and unconstrained local and global optimization. Multivariate statistics libraries including fitting, hypothesis testing, and probability and expectation calculations on over 1. Support for censored data, temporal data, time series, and unit based data.
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