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ARPACK, the ARnoldi PACKage, is a numerical software library written in FORTRAN 77 for solving large scale eigenvalue problems in the matrix-free fashion.
The analysis highlights Overview, Related Topics and Entities as prominent areas in the source structure around ARPACK.
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 ARPACK shows recurring relationship patterns in the source. For example, ARPACK → Among, Arnaud, ARPACK-NG, C-translated, Due, Fortran, SciPy, Similarly Another extracted example is ARPACK → Debian, GNU Octave, Official, Rice Universityarpack-ng, Scilab. 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.
scipy software matrices matrix-free numerical library fortran 77 matrix variant gnu octave arnoldi package large fork matlab written solving method
TTTA extracted 21 structured relationships around ARPACK. Examples in this analysis include ARPACK → License → BSD-new and ARPACK → Type → Software library. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| ARPACK | License | BSD-new | 1.00 | infobox |
| ARPACK | Type | Software library | 1.00 | infobox |
| ARPACK | Website | lacsi.rice.edu/software/arpak/ | 1.00 | infobox |
| ARPACK | Written in | FORTRAN 77 | 1.00 | infobox |
| SciPy | instance of | It is used by many popular numerical computing environments | 0.80 | text |
| Mathematica | instance of | It is used by many popular numerical computing environments | 0.80 | text |
| ARPACK | related to External links | Official | 0.60 | section |
| ARPACK | related to External links | Rice Universityarpack-ng | 0.60 | section |
| ARPACK | related to External links | Scilab | 0.60 | section |
| ARPACK | related to External links | GNU Octave | 0.60 | section |
| ARPACK | related to External links | Debian | 0.60 | section |
| ARPACK | related to Fork | Due | 0.60 | section |
The concept neighborhoods around ARPACK bring nearby vocabulary together. In this analysis, examples include Due, Interface and Written. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Bridges highlight paths between different parts of the ARPACK map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around ARPACK to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Overview, Related Topics & Entities, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — ARPACK · EN edition · Analysis: TopicsToTalkAbout