GAUSS (software) - AbsoluteAstronomy.com

GAUSS is a matrix programming language

Programming language

A programming language is an artificial language designed to communicate instructions to a machine, particularly a computer. Programming languages can be used to create programs that control the behavior of a machine and/or to express algorithms precisely....

for mathematics

Mathematics

Mathematics is the study of quantity, space, structure, and change. Mathematicians seek out patterns and formulate new conjectures. Mathematicians resolve the truth or falsity of conjectures by mathematical proofs, which are arguments sufficient to convince other mathematicians of their validity...

and statistics

Statistics

Statistics is the study of the collection, organization, analysis, and interpretation of data. It deals with all aspects of this, including the planning of data collection in terms of the design of surveys and experiments....

, developed and marketed by Aptech Systems. Its primary purpose is the solution of numerical problems in statistics

Statistics

, econometrics

Econometrics

Econometrics has been defined as "the application of mathematics and statistical methods to economic data" and described as the branch of economics "that aims to give empirical content to economic relations." More precisely, it is "the quantitative analysis of actual economic phenomena based on...

, time-series, optimization and 2D- and 3D-visualization. It was first published in 1984 for MS-DOS

MS-DOS

MS-DOS is an operating system for x86-based personal computers. It was the most commonly used member of the DOS family of operating systems, and was the main operating system for IBM PC compatible personal computers during the 1980s to the mid 1990s, until it was gradually superseded by operating...

and is currently also available for Linux

Linux

Linux is a Unix-like computer operating system assembled under the model of free and open source software development and distribution. The defining component of any Linux system is the Linux kernel, an operating system kernel first released October 5, 1991 by Linus Torvalds...

, Sun SPARC

SPARC

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, Mac OS X

Mac OS X

Mac OS X is a series of Unix-based operating systems and graphical user interfaces developed, marketed, and sold by Apple Inc. Since 2002, has been included with all new Macintosh computer systems...

and Windows

Microsoft Windows

Microsoft Windows is a series of operating systems produced by Microsoft.Microsoft introduced an operating environment named Windows on November 20, 1985 as an add-on to MS-DOS in response to the growing interest in graphical user interfaces . Microsoft Windows came to dominate the world's personal...

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.

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.

Examples of Functions Included in Run-Time Library

GAUSS Applications

External links

See also