SparseArrays
E96220
SparseArrays is a Julia standard library module that provides data structures and operations for efficiently working with sparse matrices and related linear algebra.
All labels observed (2)
| Label | Occurrences |
|---|---|
| SparseArrays canonical | 1 |
| SparseVector | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T815772 — 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: SparseArrays Context triple: [Julia, hasStandardLibrary, SparseArrays]
-
A.
Ulam sequence
The Ulam sequence is an integer sequence starting with 1 and 2 in which each subsequent term is the smallest integer that can be written uniquely as the sum of two distinct earlier terms.
-
B.
NumPy
NumPy is a fundamental Python library that provides efficient multi-dimensional arrays and numerical computing tools widely used in scientific computing and data analysis.
-
C.
Minkowski sum
The Minkowski sum is a fundamental operation in geometry and convex analysis that combines two sets by adding every vector in one set to every vector in the other, widely used in areas such as optimization, robotics, and computational geometry.
-
D.
The Big Operator
The Big Operator is a 1959 American crime drama film starring Mickey Rooney as a corrupt union boss, notable for featuring Maila Nurmi in a supporting role.
-
E.
Surreal numbers
Surreal numbers are a class of numbers introduced by John H. Conway that form an extensive ordered field encompassing the real numbers, infinite quantities, and infinitesimals within a unified framework.
- 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: SparseArrays Target entity description: SparseArrays is a Julia standard library module that provides data structures and operations for efficiently working with sparse matrices and related linear algebra.
-
A.
Ulam sequence
The Ulam sequence is an integer sequence starting with 1 and 2 in which each subsequent term is the smallest integer that can be written uniquely as the sum of two distinct earlier terms.
-
B.
NumPy
NumPy is a fundamental Python library that provides efficient multi-dimensional arrays and numerical computing tools widely used in scientific computing and data analysis.
-
C.
Minkowski sum
The Minkowski sum is a fundamental operation in geometry and convex analysis that combines two sets by adding every vector in one set to every vector in the other, widely used in areas such as optimization, robotics, and computational geometry.
-
D.
The Big Operator
The Big Operator is a 1959 American crime drama film starring Mickey Rooney as a corrupt union boss, notable for featuring Maila Nurmi in a supporting role.
-
E.
Surreal numbers
Surreal numbers are a class of numbers introduced by John H. Conway that form an extensive ordered field encompassing the real numbers, infinite quantities, and infinitesimals within a unified framework.
- F. None of above. chosen
Statements (49)
| Predicate | Object |
|---|---|
| instanceOf | Julia standard library module ⓘ |
| category |
linear algebra library
ⓘ
numerical computing library ⓘ |
| definesType |
Bidiagonal
ⓘ
BlockBandedMatrix ⓘ Diagonal ⓘ SparseMatrixCSC ⓘ SparseArrays self-linksurface differs ⓘ
surface form:
SparseVector
SymTridiagonal ⓘ Tridiagonal ⓘ |
| documentationURL | https://docs.julialang.org/en/v1/stdlib/SparseArrays/ ⓘ |
| exportsFunction |
dropzeros!
ⓘ
findnz ⓘ issparse ⓘ nnz ⓘ sparse ⓘ spdiagm ⓘ spzeros ⓘ |
| goal |
efficient computation with sparse linear algebra
ⓘ
efficient storage of sparse data ⓘ |
| hostLanguage |
Julia
ⓘ
surface form:
Julia language runtime
|
| introducedInVersion |
Julia
ⓘ
surface form:
Julia 0.4
|
| license | MIT License ⓘ |
| optimizedFor | matrices with many zeros ⓘ |
| partOf | Julia Base distribution ⓘ |
| programmingLanguage | Julia ⓘ |
| provides |
linear algebra operations for sparse matrices
ⓘ
sparse matrix data structures ⓘ sparse vector data structures ⓘ |
| supports |
Boolean sparse matrices
ⓘ
CSC sparse matrices ⓘ complex sparse matrices ⓘ compressed sparse column format ⓘ integer sparse matrices ⓘ real sparse matrices ⓘ |
| supportsOperation |
adjoint of sparse matrices
ⓘ
broadcasting with sparse arrays ⓘ conversion between sparse and dense matrices ⓘ elementwise arithmetic on sparse arrays ⓘ factorization of sparse matrices ⓘ finding nonzero indices ⓘ matrix-matrix multiplication for sparse matrices ⓘ matrix-vector multiplication for sparse matrices ⓘ norms of sparse vectors and matrices ⓘ solving sparse linear systems ⓘ sparse matrix construction from triplets ⓘ sparse matrix indexing ⓘ transpose of sparse matrices ⓘ |
| uses | 1-based indexing ⓘ |
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: SparseArrays Description of subject: SparseArrays is a Julia standard library module that provides data structures and operations for efficiently working with sparse matrices and related linear algebra.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.
this entity surface form:
SparseVector