World Library  
Flag as Inappropriate
Email this Article
 

GAUSS (software)

GAUSS
Developer(s) Aptech Systems
Initial release 1984
Stable release 15 / ?
Operating system Linux, OS X, 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, time-series, optimization and 2D- and 3D-visualization. It was first published in 1984 for MS-DOS and is currently also available for Linux, Mac OS X and Windows.

Contents

  • Examples of Functions Included in Run-Time Library 1
  • GAUSS Applications 2
  • See also 3
  • External links 4

Examples of Functions Included in Run-Time Library

  • GAUSS has several Application Modules as well as functions in its Run-Time Library (i.e., functions that come with GAUSS without extra cost)
    • Qprog — Quadratic programming
    • SqpSolvemt - Sequential quadratic programming
    • QNewton - Quasi-Newton unconstrained optimization
    • EQsolve - Nonlinear equations solver

GAUSS Applications

A range of toolboxes are available for GAUSS at additional cost. See http://www.aptech.com/products/gauss-applications/ 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 thread-safe 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. Unit root and cointegration tests.

See also

External links

  • International homepage
  • GAUSS Mailing List
  • Review of version 7.0
  • Some more links
  • Software for Economists


This article was sourced from Creative Commons Attribution-ShareAlike License; additional terms may apply. World Heritage Encyclopedia content is assembled from numerous content providers, Open Access Publishing, and in compliance with The Fair Access to Science and Technology Research Act (FASTR), Wikimedia Foundation, Inc., Public Library of Science, The Encyclopedia of Life, Open Book Publishers (OBP), PubMed, U.S. National Library of Medicine, National Center for Biotechnology Information, U.S. National Library of Medicine, National Institutes of Health (NIH), U.S. Department of Health & Human Services, and USA.gov, which sources content from all federal, state, local, tribal, and territorial government publication portals (.gov, .mil, .edu). Funding for USA.gov and content contributors is made possible from the U.S. Congress, E-Government Act of 2002.
 
Crowd sourced content that is contributed to World Heritage Encyclopedia is peer reviewed and edited by our editorial staff to ensure quality scholarly research articles.
 
By using this site, you agree to the Terms of Use and Privacy Policy. World Heritage Encyclopedia™ is a registered trademark of the World Public Library Association, a non-profit organization.
 


Copyright © World Library Foundation. All rights reserved. eBooks from Project Gutenberg are sponsored by the World Library Foundation,
a 501c(4) Member's Support Non-Profit Organization, and is NOT affiliated with any governmental agency or department.