Several solutions are available for deploying applications written in Mathematica: Also, version 8 can generate C code, which is automatically compiled by a system C compiler, such as Intel C++ Compiler or compiler of Visual Studio 2010. Support for CUDA and OpenCL GPU hardware was added in 2010.
#MATHEMATICA 7 NOTEBOOK IN MATHEMATICA 10 WINDOWS#
In 2002, gridMathematica was introduced to allow user level parallel programming on heterogeneous clusters and multiprocessor systems and in 2008 parallel computing technology was included in all Mathematica licenses including support for grid technology such as Windows HPC Server 2008, Microsoft Compute Cluster Server and Sun Grid. In addition Mathematica is supported by third party specialist acceleration hardware such as ClearSpeed. This release included CPU specific optimized libraries. Version 5.2 (2005) added automatic multi-threading when computations are performed on multi-core computers. In recent years, the capabilities for high-performance computing have been extended with the introduction of packed arrays (version 4, 1999) and sparse matrices (version 5, 2003), and by adopting the GNU Multi-Precision Library to evaluate high-precision arithmetic. Mathematica also includes a command line front end.
#MATHEMATICA 7 NOTEBOOK IN MATHEMATICA 10 CODE#
It provides project-based code development tools for Mathematica, including revision management, debugging, profiling, and testing. They include the Wolfram Workbench, an Eclipse based IDE, introduced in 2006. The standard front end is used by default, but alternative front ends are available. The front end includes development tools such as a debugger, input completion and automatic syntax coloring. This allows conversion to other formats such as TeX or XML. Notebooks and their contents are represented as Mathematica expressions that can be created, modified or analysed by Mathematica programs. Documents can be presented in a slideshow environment for presentations. Most standard word processing capabilities are supported, but there is only one level of "undo."ĭocuments can be structured using a hierarchy of cells, which allow for outlining and sectioning of a document and support automatic numbering index creation. All contents and formatting can be generated algorithmically or interactively edited. The front end, designed by Theodore Gray, provides a GUI, which allows the creation and editing of Notebook documents containing program code with prettyprinting, formatted text together with results including typeset mathematics, graphics, GUI components, tables, and sounds. The kernel interprets expressions (Mathematica code) and returns result expressions. Mathematica is split into two parts, the kernel and the front end. Using both "free-form linguistic input" (a natural language user interface) and Mathematica language in notebook when connected to the Internet.NET, C++, FORTRAN, CUDA, OpenCL and http based systems Technical word processing including formula editing and automated report generating.Database collection for mathematical, scientific, and socio-economic information and access to WolframAlpha data and computations.Import and export filters for data, images, video, sound, CAD, GIS, document and biomedical formats.Continuous and discrete integral transforms.Libraries for wavelet analysis on sounds, images and data.Tools for financial calculations including bonds, annuities, derivatives, options etc.Data mining tools such as cluster analysis, sequence alignment and pattern matching.Tools for text mining including regular expressions and semantic analysis.Tools for visualizing and analysing graphs.Tools for image processing and morphological image processing including image recognition.Toolkit for adding user interfaces to calculations and applications.Programming language supporting procedural, functional and object oriented constructs.Constrained and unconstrained local and global optimization.Multivariate statistics libraries including fitting, hypothesis testing, and probability and expectation calculations on over 100 distributions.Numeric and symbolic tools for discrete and continuous calculus.Solvers for systems of equations, diophantine equations, ODEs, PDEs, DAEs, DDEs and recurrence relations.2D and 3D data and function visualization and animation tools.Support for complex number, arbitrary precision, interval arithmetic and symbolic computation.Matrix and data manipulation tools including support for sparse arrays.Elementary mathematical function library.Wolfram Knowledgebase Curated computable knowledge powering Wolfram|Alpha.Dini's surface plotted with adjustable parameters Wolfram Universal Deployment System Instant deployment across cloud, desktop, mobile, and more. Wolfram Data Framework Semantic framework for real-world data.
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