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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 written in 1980 and was first published in 1984 for MS-DOS. It has since become…
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Explore the main themes, entities and connections around GAUSS (software). Start with the topic map, then use the sections below for research and deeper semantic analysis.
Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Browse the full topic structure. Each item opens a new analysis centered on that subject.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
See the strongest relationship patterns around the current topic before diving into the raw triples.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
gauss statistics programming linux macos windows language aptech systems 1984 optimization available links mathematics econometrics time-series ms-dos matrix developed marketed
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| GAUSS (software) | Developer | Aptech Systems | 1.00 | infobox |
| GAUSS (software) | License | proprietary | 1.00 | infobox |
| GAUSS (software) | Operating system | Linux, macOS, Windows | 1.00 | infobox |
| GAUSS (software) | Release | 1984; 42 years ago (1984) | 1.00 | infobox |
| GAUSS (software) | Stable release | 22.1.0 / 10 March 2022; 4 years ago (2022-03-10) | 1.00 | infobox |
| GAUSS (software) | Type | programming language | 1.00 | infobox |
| GAUSS (software) | Website | www.aptech.com | 1.00 | infobox |
These clusters group vocabulary that occurs around closely connected concepts in the source material.
Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.