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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 ...
The optimization software will deliver input values in A, the software module realizing f will deliver the computed value f(x). In this manner, a clear separation of concerns is obtained: different optimization software modules can be easily tested on the same function f, or a given optimization software can be used for different functions f.
Statistical software package for exploratory data analysis, dynamic data visualization, statistical modeling, design of experiments, time series forecasting, quality improvement and Six Sigma. Statistical Lab: Yes 2005: May 2, 2011 / 3.81 Systat: Proprietary: No 1979: Statistics SymPy: BSD: Yes 2007: September 14, 2018 / 1.3 Linux, Mac OS X ...
Mathcad's central interface is an interactive notebook in which equations and expressions are created and manipulated in the same graphical format in which they are presented (WYSIWYG). This approach was adopted by systems such as Mathematica, Maple, Macsyma, MATLAB, and Jupyter.
Statistica is a suite of analytics software originally developed by StatSoft and acquired by Dell in March 2014. The software includes an array of data analysis, data management, data visualization, and data mining procedures; as well as a variety of predictive modeling, clustering, classification, and exploratory techniques. [2]
Finite element software for structural, geotechnical, heat transfer and seepage analysis: Intuition Software: 5.11: 2016-01: Proprietary software: Free educational version available [17] Mac OS X, Windows: JCMsuite: Finite element software for the analysis of electromagnetic waves, elasticity and heat conduction: JCMwave GmbH: 5.4.3: 2023-03-09 ...
Maple (software) – The PCA command is used to perform a principal component analysis on a set of data. Mathematica – Implements principal component analysis with the PrincipalComponents command using both covariance and correlation methods. MathPHP – PHP mathematics library with support for PCA.