Research any topic before you write.
Find related topics. | Discover entities. | See connections. | Build a topical map.
Macsyma (/ˈmæksɪmə/; "Project MAC's SYmbolic MAnipulator") is one of the oldest general-purpose computer algebra systems still in wide use. It was originally developed from 1968 to 1982 at MIT's Project MAC.
The analysis highlights Companies and Products as prominent areas in the source structure around Macsyma.
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 Macsyma shows recurring relationship patterns in the source. For example, Macsyma → Barry Trager, Bill Dubuque, Carl Engelman, Carl Hoffman, Charles Karney, David, David Barton, Ed Lafferty, Engelman, Fortran, Gail Zacharias, GCD, GCDs, Gosper, Gröbner, Jeff Golden, Joel Moses, John Kulp, July, Knut Korsvold's Another extracted example is Macsyma → At, Berkeley, Berkeley VAX Unix, Caltech, Common Lisp, DOE Macsyma, Energy, Fateman, Fateman's, Franz Lisp, In, Indeed, Lisp Machines, Maclisp, Maxima, MIT, Motorola, National Energy Software Center, NESC, NIL. 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.
symbolics lisp mit 1982 product numerical available market system version development inc maxima richard software sales petti symbolic systems project
TTTA extracted 115 structured relationships around Macsyma. Examples in this analysis include Macsyma → related to Available versions → There and Macsyma → related to Available versions → GPL-licensed. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Macsyma | related to Available versions | There | 0.60 | section |
| Macsyma | related to Available versions | GPL-licensed | 0.60 | section |
| Macsyma | related to Available versions | Maxima | 0.60 | section |
| Macsyma | related to Available versions | DOE Macsyma | 0.60 | section |
| Macsyma | related to Available versions | Common Lisp | 0.60 | section |
| Macsyma | related to Available versions | William Schelter | 0.60 | section |
| Macsyma | related to Available versions | It | 0.60 | section |
| Macsyma | related to Available versions | Downloadable | 0.60 | section |
| Macsyma | related to Available versions | Linux | 0.60 | section |
| Macsyma | related to Available versions | Microsoft Windows | 0.60 | section |
| Macsyma | related to Available versions | Mac OS | 0.60 | section |
| Macsyma | related to Available versions | While | 0.60 | section |
The concept neighborhoods around Macsyma bring nearby vocabulary together. In this analysis, examples include Symbolics, Mit and Lisp. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Macsyma, one of the stronger structural bridges in this analysis connects Macsyma with Development. 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 Macsyma to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Companies & Products, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Macsyma · EN edition · Analysis: TopicsToTalkAbout