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FreeMat: Overview, Related Topics & Entities

FreeMat is a free open-source numerical computing environment and programming language, similar to MATLAB and GNU Octave. In addition to supporting many MATLAB functions and some IDL functionality, it features a codeless interface to external C, C++, and Fortran code, further parallel distributed algorithm development (via MPI), and has plotting and 3D…

Language: English [EN]
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FreeMat topic overview

The analysis highlights Overview, Related Topics and Entities as prominent areas in the source structure around FreeMat.

Related topics
14
Source areas
1
Connected nodes
15
Extracted relationships
9
Concept neighborhoods
15
Bridge connections
15

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 · 14 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.

Key facts & relationships

High-confidence facts extracted from structured source data. Use them as anchors for further research.

Developer
Samit Basu
License
GPL, older: MIT
Operating system
Cross-platform (Linux, macOS, Windows)
Repository
svn.code.sf.net/p/freemat/code/
Stable release
4.2 / June 30, 2013; 13 years ago (2013-06-30)
Type
Technical computing

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

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

How FreeMat connects Entity context

The extracted context around FreeMat shows recurring relationship patterns in the source. For example, FreeMat → Samit Basu Another extracted example is FreeMat → GPL, older: MIT. Use these groups to spot repeated connection types before inspecting the individual relationships.

FreeMat

Top relations

Developer · 1
FreeMat → Samit Basu
License · 1
FreeMat → GPL, older: MIT
Operating system · 1
FreeMat → Cross-platform (Linux, macOS, Windows)
Repository · 1
FreeMat → svn.code.sf.net/p/freemat/code/
Stable release · 1
FreeMat → 4.2 / June 30, 2013; 13 years ago (2013-06-30)
Type · 1
FreeMat → Technical computing
Website · 1
FreeMat → freemat.sourceforge.net
Written in · 1
FreeMat → Assembly language, C, C++, Fortran, Qt
is a · 1
FreeMat → free open-source numerical computing environment and programming language

Important terminology

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

Important terminology

matlab fortran computing language code free open-source idl mpi 3d moderated numerical environment programming similar gnu octave addition supporting many

FreeMat relationships Subject–Predicate–Object triples

TTTA extracted 9 structured relationships around FreeMat. Examples in this analysis include FreeMat → Developer → Samit Basu and FreeMat → License → GPL, older: MIT. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
FreeMatDeveloperSamit Basu1.00infobox
FreeMatLicenseGPL, older: MIT1.00infobox
FreeMatOperating systemCross-platform (Linux, macOS, Windows)1.00infobox
FreeMatRepositorysvn.code.sf.net/p/freemat/code/1.00infobox
FreeMatStable release4.2 / June 30, 2013; 13 years ago (2013-06-30)1.00infobox
FreeMatTypeTechnical computing1.00infobox
FreeMatWebsitefreemat.sourceforge.net1.00infobox
FreeMatWritten inAssembly language, C, C++, Fortran, Qt1.00infobox
FreeMatis afree open-source numerical computing environment and programming language0.90text

Related concept clusters Concept neighborhoods

The concept neighborhoods around FreeMat bring nearby vocabulary together. In this analysis, examples include Computing, Language and Open-source. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • matlab
    • 3d
    • Addition
    • Algorithm
    • Codeless
    • Development
    • Distributed
    • External
    • Features
    • Functionality
    • Functions
    • Gnu
    • Idl
  • 3d
    • Addition
    • Algorithm
    • Capabilities
    • Codeless
    • Development
    • Distributed
    • External
    • Features
    • Functionality
    • Functions
    • Idl
    • Interface
  • fortran
    • Code
    • Algorithm
    • Capabilities
    • Development
    • Distributed
    • Functionality
    • Functions
    • Idl
    • Interface
    • Many
    • Mpi
    • Parallel
  • parallel distributed algorithm development
    • Algorithm
    • Capabilities
    • Codeless
    • Development
    • Distributed
    • External
    • Features
    • Functionality
    • Functions
    • Idl
    • Interface
    • Many
  • idl
    • Algorithm
    • Capabilities
    • Codeless
    • Development
    • Distributed
    • External
    • Features
    • Functionality
    • Interface
    • Many
    • Mpi
    • Parallel
  • free
    • Computing
    • Freemat
    • Language
    • Open-source
    • Environment
    • Gnu
    • Numerical
    • Octave
    • Programming
    • Similar
    • Code
    • Fortran
  • numerical computing
    • Free
    • Freemat
    • Gnu
    • Language
    • Octave
    • Open-source
    • Programming
    • Similar
    • Environment
    • Matlab
    • Numerical
    • Code
  • FreeMat
    • Computing
    • Language
    • Open-source
    • Environment
    • Gnu
    • Numerical
    • Octave
    • Programming
    • Similar
    • Code
    • Fortran
    • Matlab

Connections between topic areas Semantic bridges

Bridges highlight paths between different parts of the FreeMat map and can reveal research angles that are easy to miss in a flat list.

Min side: 3

Map overview Semantic statistics

FreeMat

Nodes16
Edges15
Triples9
Avg. degree1.88
Density0.125
Components1

Source & methodology

TTTA analyzes the structure around FreeMat 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 — FreeMat · EN edition · Analysis: TopicsToTalkAbout

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