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SLATEC Common Mathematical Library is a FORTRAN 77 library of over 1,400 general purpose mathematical and statistical routines. The code was developed at US government research laboratories and is therefore public domain software.
The analysis highlights History, Project history and current status and Contents as prominent areas in the source structure around SLATEC.
Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.
Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. 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.
The extracted context around SLATEC shows recurring relationship patterns in the source. For example, SLATEC → CML, FORTRAN, In, July, Lawrence Livermore National Laboratory, National Bureau, Netlib, Oak Ridge National Laboratory, Since, SLATEC Common Mathematical Library, Standards, Subcommittee, The Another extracted example is SLATEC → BLAS, Each, EISPACK, FFTPACK, FORTRAN, LINPACK, QUADPACK, Some, The. Use these groups to spot repeated connection types before inspecting the individual relationships.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
mathematical library fortran us government laboratories also subpackages common code software laboratory information centers three current netlib acronym sandia provide
TTTA extracted 33 structured relationships around SLATEC. Examples in this analysis include SLATEC → related to Contents → Each and SLATEC → related to Contents → Some. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| SLATEC | related to Contents | Each | 0.60 | section |
| SLATEC | related to Contents | Some | 0.60 | section |
| SLATEC | related to Contents | FORTRAN | 0.60 | section |
| SLATEC | related to Contents | BLAS | 0.60 | section |
| SLATEC | related to Contents | EISPACK | 0.60 | section |
| SLATEC | related to Contents | FFTPACK | 0.60 | section |
| SLATEC | related to Contents | LINPACK | 0.60 | section |
| SLATEC | related to Contents | QUADPACK | 0.60 | section |
| SLATEC | related to Contents | The | 0.60 | section |
| SLATEC | related to External links | NetlibSLATEC | 0.60 | section |
| SLATEC | related to External links | GAMS | 0.60 | section |
| SLATEC | related to Further reading | Walter | 0.60 | section |
The concept neighborhoods around SLATEC bring nearby vocabulary together. In this analysis, examples include Code, Information and Netlib. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For SLATEC, one of the stronger structural bridges in this analysis connects SLATEC with Overview. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around SLATEC to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Project history and current status & Contents, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — SLATEC · EN edition · Analysis: TopicsToTalkAbout