The GAUSS Mathematical and Statistical System is a fast matrix programming language widely used by scientists, engineers, statisticians, biometricians, econometricians, and financial analysts.
Designed for computationally intensive tasks, the GAUSS system is ideally suited for the researcher who does not have the time required to develop programs in C or FORTRAN but finds that most statistical or mathematical "packages" are not flexible or powerful enough to perform complicated analysis or to work on large problems.
Whatever mathematical tool or language you are now using, you'll find that GAUSS can greatly increase your productivity!
Comprehensive Environment for Modeling and Analysis
GAUSS is a complete analysis environment suitable for performing quick calculations, complex analysis of millions of data points, or anything in between. Whether you are new to computerized analysis or a seasoned programmer, the GAUSS family of products combine to offer you an easy to learn environment that is powerful and versatile enough for virtually any numerical task. Since its introduction in 1984, GAUSS has been a standard for serious number crunching and complex modeling of large-scale data.
Worldwide acceptance and use in government, industry and the academic community is a firm testament to its power and versatility. The GAUSS System can be described several ways: It is an exceptionally efficient number cruncher, a comprehensive programming language, and an interactive analysis environment. GAUSS may be the only numerical tool you will ever need.
Interactive and Fast
For simple problems GAUSS provides a fully interactive environment for exploring data, creating scenarios and analyzing results. For more complex tasks, you can write programs and save them to disk. GAUSS is exceptionally fast, providing performance comparable to compiled C or FORTRAN programs. And unlike other math packages, GAUSS's speed is equally impressive when working with problems of very large scale.
Straightforward and Efficient
While many GAUSS users never find a need to program extensively, for those who do, GAUSS provides a natural and logical environment that is easy to learn and powerful to use. At the core of GAUSS is an efficient programming language adequate for doing even the most sophisticated analysis. The basic unit ofanalysis in GAUSS is a matrix, resulting in a syntax closely resembling common mathematical expressions. Since matrix operations are assumed, most of the looping required by other languages is eliminated. The Data Translation Loop allows transformations on variables in a data set by directly using the variable names in expressions. This streamlines data transformations and makes for shorter, more readable programs. GAUSS's Source Level Debugger greatly simplifies program development. With all of the features you would expect in a dedicated debugging system, you can quickly identify and solve program logic errors at run time.
Additionally, GAUSS handles complex numbers automatically and seamlessly. You don't have to keep track of the real and imaginary parts of a matrix. Complex numbers are handled automatically, that greatly simplifies programming for engineering and other tasks that require working with complex numbers.
The Language
As a complete programming language, the GAUSS system is both flexible and powerful. Immediately available to the GAUSS user is a wide variety of statistical, mathematical and matrix handling routines. GAUSS can be used either interactively for short one-off commands or by creating large programs consisting of several files and libraries of functions, or anything in between.
Visualization and Presentation
GAUSS's high resolution Publication Quality Graphics gives you powerful ways to visually analyze your data and present your findings. A wide choice of graphing options are available to you, including 2D, 3D, surface, contour, polar and log graphs, as well as bar graphs, histograms, box graphs and more. Graphs can be placed in individual overlapping or tiled windows on a single page. You can export graphics files in a number of popular formats, including WMF, HP-GL/2, PostScript and EPS formats, for use in page layout and presentation packages, and GAUSS includes support for a wide range of output devices, including most of the latest printers and plotters.
The Tools You Need
GAUSS has over 400 mathematical functions built in, including LAPACK, EISPACK and BLAS routines, factorizations, decompositions, eigenvalues, distributions and equation solving functions, to provide you with all the tools you need to solve your most difficult problems. You can easily customize or add to the GAUSS function library, and optional modules provide access to many other specialized capabilities.
The GAUSS Run-Time Module (GRTM) allows users to distribute GAUSS applications that they have written to people who do not have GAUSS. Developers distribute a compiled file to end users along with the GRTM. This is available with GAUSS at no extra charge.
Other important features include: data import/export compatibility with many popular spreadsheets and databases, long period random number generators, built-in functions for efficiently handling sparse data, and a Foreign Language Interface for incorporating your favorite compiled C and FORTRAN programs directly into GAUSS programs.
Features and Enhancements in GAUSS 11
GAUSS 11 features a completely redesigned graphical user interface with many new and powerful features. Here is a partial list:- Modern design
- New Command History Window
- Autocomplete for GAUSS functions
- Function parameter tooltips
- Data preview tooltips
- Multiple monitor support
- Intuitive Navigation
- GAUSS will remember your layout from session to session
New Functions
New Functions |
|
|---|---|
| Function Name | Description |
|
rndMTu
|
Mersenne-Twister uniform random number generator.
|
|
cdfBetaInv
|
Inverse cumulative distribution function for the beta distribution.
|
|
cdfBinomial
|
CDF for the binomial distribution.
|
|
cdfBinomialInv
|
Inverse CDF for the binomial distribution.
|
|
cdfFncInv
|
Inverse CDF for the non-central F distribution.
|
|
cdfNegBinomial
|
CDF for the negative binomial distribution. |
|
cdfNegBinomialInv
|
Inverse CDF for the negative binomial distribution. |
|
cdfPoisson
|
CDF for the Poisson distribution. |
|
cdfPoissonInv
|
Inverse CDF for the Poisson distribution. |
|
erfInv
|
Inverse Error Function. |
|
erfcInv
|
Inverse Complimentary Error Function. |
Improved Functions: Speed and Accuracy
Probability and Statistics- cdfBeta
- cdfChinc
- cdfFnc
- cdfn
- cdfni
- cdfTnc
- erf
- erfc
- chol
- eig, eigh, eigv, eighv
- inv, invpd
- lapgEigh, lapgEighv, lapgEig, lapEighb, lapEighvb, lapEighi, lapEighvi
- linear solve with "/" operator
- lu
- matrix multiply
- moment
- ols
- olsqr
