GAUSS (software)
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Wikipedia : http://en.wikipedia.org/wiki/GAUSS_(software)Developer(s)  Aptech Systems 

Initial release  1984 
Stable release  19
/ 14 November 2018

Operating system  Linux, macOS, Windows 
Type  programming language 
License  proprietary 
Website  www.aptech.com 
GAUSS is a matrix programming language for mathematics and statistics, developed and marketed by Aptech Systems. Its primary purpose is the solution of numerical problems in statistics, econometrics, timeseries, optimization and 2D and 3Dvisualization. It was first published in 1984 for MSDOS and is currently also available for Linux, macOS and Windows.
Contents
Examples of Functions Included in RunTime Library
 GAUSS has several Application Modules as well as functions in its RunTime Library (i.e., functions that come with GAUSS without extra cost)
 Qprog – Quadratic programming
 SqpSolvemt – Sequential quadratic programming
 QNewton  QuasiNewton unconstrained optimization
 EQsolve  Nonlinear equations solver
GAUSS Applications
A range of toolboxes are available for GAUSS at additional cost. See https://www.aptech.com/products/gaussapplications/ for complete listing of products.
Algorithmic Derivatives  A program for generating GAUSS procedures for computing algorithmic derivatives. 
Constrained Maximum Likelihood MT  Solves the general maximum likelihood problem subject to general constraints on the parameters. 
Constrained Optimization  Solves the nonlinear programming problem subject to general constraints on the parameters. 
CurveFit  Nonlinear curve fitting. 
Descriptive Statistics  Basic sample statistics including means, frequencies and crosstabs. This application is backwards compatible with programs written with Descriptive Statistics 3.1 
Descriptive Statistics MT  Basic sample statistics including means, frequencies and crosstabs. This application is threadsafe and takes advantage of structures. 
Discrete Choice  A statistical package for estimating discrete choice and other models in which the dependent variable is qualitative in some way. 
FANPAC MT  Comprehensive suite of GARCH (Generalized AutoRegressive Conditional Heteroskedastic) models for estimating volatility. 
Linear Programming MT  Solves small and large scale linear programming problems 
Linear Regression MT  Least squares estimation. 
Loglinear Analysis MT  Analysis of categorical data using loglinear analysis. 
Maximum Likelihood MT  Maximum likelihood estimation of the parameters of statistical models. 
Nonlinear Equations MT  Solves systems of nonlinear equations having as many equations as unknowns. 
Optimization  Unconstrained optimization. 
Time Series MT  Exact ML estimation of VARMAX, VARMA, ARIMAX, ARIMA, and ECM models subject to general constraints on the parameters. Panel data estimation. Cointegration and unit root tests. 
See also
External links
 International homepage
 GAUSS Mailing List
 Review of version 7.0
 Some more links
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