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Wolfram Mathematica is a software system with built-in libraries for several areas of technical computing that allows machine learning, statistics, symbolic computation, data manipulation, network analysis, time series analysis, NLP, optimization, plotting functions and various types of data, implementation of algorithms, creation of user interfaces, and interfacing with programs written in ...
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Given a system transforming a set of inputs to output values, described by a mathematical function f, optimization refers to the generation and selection of the best solution from some set of available alternatives, [1] by systematically choosing input values from within an allowed set, computing the value of the function, and recording the best value found during the process.
This is a list of software to create any kind of information graphics: either includes the ability to create one or more infographics from a provided data set; either it is provided specifically for information visualization
Wolfram Research, Inc. (/ ˈ w ʊ l f r əm / WUUL-frəm) is an American multinational company that creates computational technology. Wolfram's flagship product is the technical computing program Wolfram Mathematica, first released on June 23, 1988.
Wolfram Language WolframAlpha ( / ˈ w ʊ l f . r əm -/ WUULf-rəm- ) is an answer engine developed by Wolfram Research . [ 1 ] It is offered as an online service that answers factual queries by computing answers from externally sourced data.
Maple, Mathematica, and several other computer algebra software include arbitrary-precision arithmetic. Mathematica employs GMP for approximate number computation. PARI/GP, an open source computer algebra system that supports arbitrary precision. Qalculate!, an open-source free software arbitrary precision calculator with autocomplete.
Principal component analysis (PCA) is a linear dimensionality reduction technique with applications in exploratory data analysis, visualization and data preprocessing.. The data is linearly transformed onto a new coordinate system such that the directions (principal components) capturing the largest variation in the data can be easily identified.