Research any topic before you write.

Find related topics. | Discover entities. | See connections. | Build a topical map.

MATHLAB: Applications, Print publications & Overview

MATHLAB is a computer algebra system created in 1964 by Carl Engelman at MITRE and written in Lisp.

Language: English [EN]
Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.
100%
More settings
100% 100% 100% 100% 100%

MATHLAB topic overview

The analysis highlights Applications, Print publications and Overview as prominent areas in the source structure around MATHLAB.

Related topics
20
Source areas
3
Connected nodes
23
Extracted relationships
18
Related term clusters
18
Bridge connections
23

What this topic covers Research coverage

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.

Overview · 12 topics
Applications · 5 topics
Print publications · 3 topics

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.

Start with your topic. Discover where to go next.

Explore different angles and find fresh ideas to shape your next piece of content.

Explore all related topics Closing gaps

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.

Overview

Applications

Print publications

For the semantics nerds

You can skip this section if you’re here for content ideas and keyword inspiration.

Advanced semantic analysis

How MATHLAB connects Entity context

The extracted context around MATHLAB shows recurring relationship patterns in the source. For example, MATHLAB → ACM, Carl, Engelman, ISBN, Lock-gray-alt-2, Lock-green, Lock-red-alt-2, New York, NY, Proceedings, S2CID, Symbolic, SYMSAC, Wikisource-logo Another extracted example is MATHLAB → computer algebra system created in 1964 by Carl Engelman at MITRE and written in Lisp, on-line system providing machine aid for the mechanical symbolic processes encountered in analysis. Use these groups to spot repeated connection types before inspecting the individual relationships.

MATHLAB

Top relations

related to Print publications · 14
MATHLAB → ACM, Carl, Engelman, ISBN, Lock-gray-alt-2, Lock-green, Lock-red-alt-2, New York, NY, Proceedings, S2CID, Symbolic, SYMSAC, Wikisource-logo
is a · 2
MATHLAB → computer algebra system created in 1964 by Carl Engelman at MITRE and written in Lisp, on-line system providing machine aid for the mechanical symbolic processes encountered in analysis
has application · 2
MATHLAB → Laplace, MATHLAB's

Important terminology

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

68 carl engelman mitre decus symbolic linear algebra system library lisp decs pdp-6 pdp-10 tops-10 tenex symbolics macsyma on-line analysis

MATHLAB relationships Subject–Predicate–Object triples

TTTA extracted 18 structured relationships around MATHLAB. Examples in this analysis include MATHLAB → is a → computer algebra system created in 1964 by Carl Engelman at MITRE and written in Lisp and MATHLAB → is a → on-line system providing machine aid for the mechanical symbolic processes encountered in analysis. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
MATHLABis acomputer algebra system created in 1964 by Carl Engelman at MITRE and written in Lisp0.90text
MATHLABis aon-line system providing machine aid for the mechanical symbolic processes encountered in analysis0.90text
MATHLABhas applicationMATHLAB's0.60section
MATHLABhas applicationLaplace0.60section
MATHLABrelated to Print publicationsLock-green0.60section
MATHLABrelated to Print publicationsLock-gray-alt-20.60section
MATHLABrelated to Print publicationsLock-red-alt-20.60section
MATHLABrelated to Print publicationsWikisource-logo0.60section
MATHLABrelated to Print publicationsEngelman0.60section
MATHLABrelated to Print publicationsCarl0.60section
MATHLABrelated to Print publicationsProceedings0.60section
MATHLABrelated to Print publicationsACM0.60section

Related concept clusters Related term clusters

The concept neighborhoods around MATHLAB bring nearby vocabulary together. In this analysis, examples include Analysis, System and Carl. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • MATHLAB
    • Analysis
    • System
    • Carl
    • Engelman
    • Linear
    • Symbolic
    • Became
    • Created
    • Decs
    • Environments
    • Introduced
    • Lisp
  • mathlab
    • Analysis
    • System
    • Carl
    • Engelman
    • Linear
    • Symbolic
    • Became
    • Created
    • Decs
    • Environments
    • Introduced
    • Lisp
  • computer algebra system
    • Became
    • Created
    • Decs
    • Environments
    • Introduced
    • Lisp
    • Pdp-10
    • Pdp-6
    • Popular
    • Rather
    • Running
    • Tenex
  • carl engelman
    • Engelman
    • Mitre
    • Mathlab
    • Became
    • Computer
    • Created
    • Decs
    • Environments
    • Introduced
    • Lisp
    • Macsyma
    • Pdp-10
  • linear algebra
    • Carl
    • Engelman
    • Transforms
    • Became
    • Computer
    • Created
    • Decs
    • Environments
    • Introduced
    • Lisp
    • Mathlab
    • Pdp-10
  • lisp
    • Became
    • Decs
    • Environments
    • Introduced
    • Pdp-10
    • Pdp-6
    • Popular
    • Rather
    • Running
    • Tenex
    • Tops-10
    • University
  • decs
    • Environments
    • Introduced
    • Lisp
    • Pdp-10
    • Pdp-6
    • Popular
    • Rather
    • Running
    • Tenex
    • Tops-10
    • University
    • Written
  • mitre
    • Macsyma
    • Pdp-10
    • Pdp-6
    • Popular
    • Rather
    • Running
    • Symbolics
    • Tenex
    • Tops-10
    • University
    • Written
    • System

Connections between topic areas Semantic bridges

For MATHLAB, one of the stronger structural bridges in this analysis connects MATHLAB 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.

Min side: 3
MATHLAB — Overview · splits 11 ⟂ 13
MATHLAB — Applications · splits 18 ⟂ 6
MATHLAB — Print publications · splits 20 ⟂ 4

Map overview Semantic statistics

MATHLAB

Nodes24
Edges23
Triples18
Avg. degree1.92
Density0.083333
Components1

Source & methodology

TTTA analyzes the structure around MATHLAB to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Applications, Print publications & Overview, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — MATHLAB · EN edition · Analysis: TopicsToTalkAbout

For writers, content strategists, SEOs, marketers and creators — from quick topic research to advanced semantic analysis.

Monitor your Domain Rating with FrogDR