AbstractMatrix
E440651
AbstractMatrix is a core Julia type that defines the generic interface and behavior for all two-dimensional array and matrix-like structures in the LinearAlgebra ecosystem.
All labels observed (1)
| Label | Occurrences |
|---|---|
| AbstractMatrix canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T4443249 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AbstractMatrix Context triple: [LinearAlgebra, supportsDataType, AbstractMatrix]
-
A.
LinearAlgebra
LinearAlgebra is Julia’s standard library module providing core functionality for vectors, matrices, and advanced linear algebra operations.
-
B.
Matrix
Matrix is a professional haircare and hair color brand widely used in salons and owned by the cosmetics company L'Oréal.
-
C.
Matrix
The Matrix is a vast, sentient data repository and virtual reality construct on Gallifrey that stores the knowledge, memories, and consciousness of Time Lords in the Doctor Who universe.
-
D.
Cauchy matrix
A Cauchy matrix is a structured matrix whose entries are defined by the reciprocals of pairwise differences of two sequences, widely used in numerical analysis, interpolation, and algebra.
-
E.
Jacobi matrix
A Jacobi matrix is a tridiagonal matrix, often symmetric, that arises in numerical analysis and mathematical physics, particularly in the study of orthogonal polynomials and eigenvalue problems.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: AbstractMatrix Target entity description: AbstractMatrix is a core Julia type that defines the generic interface and behavior for all two-dimensional array and matrix-like structures in the LinearAlgebra ecosystem.
-
A.
LinearAlgebra
LinearAlgebra is Julia’s standard library module providing core functionality for vectors, matrices, and advanced linear algebra operations.
-
B.
Matrix
Matrix is a professional haircare and hair color brand widely used in salons and owned by the cosmetics company L'Oréal.
-
C.
Matrix
The Matrix is a vast, sentient data repository and virtual reality construct on Gallifrey that stores the knowledge, memories, and consciousness of Time Lords in the Doctor Who universe.
-
D.
Cauchy matrix
A Cauchy matrix is a structured matrix whose entries are defined by the reciprocals of pairwise differences of two sequences, widely used in numerical analysis, interpolation, and algebra.
-
E.
Jacobi matrix
A Jacobi matrix is a tridiagonal matrix, often symmetric, that arises in numerical analysis and mathematical physics, particularly in the study of orthogonal polynomials and eigenvalue problems.
- F. None of above. chosen
Statements (48)
| Predicate | Object |
|---|---|
| instanceOf | abstract type in Julia ⓘ |
| belongsToEcosystem | Julia LinearAlgebra ecosystem ⓘ |
| definedInModule | Base ⓘ |
| definesInterfaceFor |
matrix-like structures
ⓘ
two-dimensional arrays ⓘ |
| dimensionality | two-dimensional ⓘ |
| documentationURL | https://docs.julialang.org/en/v1/base/arrays/#Base.AbstractMatrix ⓘ |
| elementTypeParameter | T ⓘ |
| introducedInVersion | Julia 0.x (before 1.0, exact version unspecified) ⓘ |
| programmingLanguage | Julia ⓘ |
| rank | 2 ⓘ |
| subtypeOf | AbstractArray{T,2} ⓘ |
| supertypeOf |
AbstractQ
ⓘ
AbstractSparseMatrixCSC ⓘ AbstractStructuredMatrix ⓘ AbstractTriangular ⓘ Adjoint ⓘ Array{T,2} ⓘ Bidiagonal ⓘ Diagonal ⓘ Hermitian ⓘ LowerTriangular ⓘ Matrix ⓘ SparseMatrixCSC ⓘ SubArray{T,2} ⓘ Symmetric ⓘ Transpose ⓘ Tridiagonal ⓘ UniformScaling ⓘ UnitLowerTriangular ⓘ UnitUpperTriangular ⓘ UpperTriangular ⓘ |
| supportsOperation |
addition
ⓘ
axes ⓘ broadcast ⓘ copy ⓘ getindex ⓘ iterate ⓘ linear algebra factorizations (via LinearAlgebra) ⓘ matrix multiplication ⓘ scalar multiplication ⓘ setindex! (for mutable subtypes) ⓘ similar ⓘ size ⓘ subtraction ⓘ |
| typeParameter | T ⓘ |
| usedFor |
linear algebra computations
ⓘ
matrix-like data structures ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: AbstractMatrix Description of subject: AbstractMatrix is a core Julia type that defines the generic interface and behavior for all two-dimensional array and matrix-like structures in the LinearAlgebra ecosystem.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.