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Wolfram Mathematica

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Wolfram Mathematica
NameWolfram Mathematica
DeveloperWolfram Research
Released23 June 1988
Latest release version14.0
Latest release date09 January 2024
Programming languageWolfram Language, C++, Java
Operating systemWindows, macOS, Linux, Raspberry Pi OS
GenreComputer algebra system, computational software
LicenseProprietary software
Websitehttps://www.wolfram.com/mathematica/

Wolfram Mathematica. It is a comprehensive technical computing system developed by Stephen Wolfram and his company, Wolfram Research. First launched in 1988, it integrates capabilities for symbolic and numeric computation, advanced visualization, and a high-level programming language. The system is widely used across scientific, engineering, mathematical, and computing fields for research, education, and commercial applications.

Overview

The system is built around the Wolfram Language, a multi-paradigm programming language that serves as its unified foundation. It is renowned for its ability to handle a vast array of computational tasks, from solving complex differential equations to generating interactive 3D graphics. Its notebook interface, which seamlessly mixes executable code, formatted text, and dynamic graphics, has influenced many other computational tools. The software is a cornerstone product of Wolfram Research, which also maintains resources like Alpha and publishes the Wolfram Demonstrations Project.

Features and capabilities

Core functionalities include sophisticated symbolic computation, enabling manipulation of mathematical expressions in algebraic form. It possesses extensive numerical computation power for tasks like linear algebra, numerical integration, and solving partial differential equations. The system includes a vast, continuously curated collection of built-in data on topics from chemical elements to financial derivatives. Its visualization tools can produce publication-quality plots, charts, and complex geometric renderings. Additional capabilities cover machine learning, image processing, and connectivity with hardware like the Raspberry Pi and Arduino.

Language and system

The underlying Wolfram Language is a symbolic, knowledge-based language that treats everything as a symbolic expression. This design allows for a high level of abstraction and integration with the system's vast built-in knowledge base. The language supports multiple programming paradigms, including functional programming, procedural programming, and rule-based programming. The interactive notebook environment, pioneered by this system, allows for reproducible computational documents. The architecture is designed for scalability, supporting parallel computing on multicore processors and distributed grids like the Wolfram Cloud.

Applications and uses

In academia and research, it is employed for mathematical modeling, theoretical physics, and analyzing data from experiments at institutions like CERN. Engineers use it for control systems design, signal processing, and computational fluid dynamics. It serves as an educational tool in universities worldwide for teaching concepts in calculus, linear algebra, and computer science. Commercial applications include financial modeling, risk analysis, and software development for companies in sectors like aerospace and biotechnology. Its algorithms power computational knowledge queries in the Alpha engine.

History and development

The project was initiated by Stephen Wolfram in 1986, leading to the first commercial version released on June 23, 1988. Early development was heavily influenced by Wolfram's earlier work on SMP (symbolic manipulation program) and his research in cellular automata, leading to his book A New Kind of Science. Major milestones include the introduction of the notebook interface in 1988, the creation of the Wolfram Language as a defined entity in 2013, and the launch of the Wolfram Cloud platform. Continuous development at Wolfram Research headquarters in Champaign, Illinois, has expanded its capabilities with each annual release, integrating emerging fields like neural networks and blockchain technology. Category:Computer algebra systems Category:Proprietary software Category:Wolfram Research Category:Numerical programming languages Category:1988 software