SparseMatrixCSC
E440652
SparseMatrixCSC is a Julia data type representing sparse matrices stored in compressed sparse column (CSC) format for efficient memory use and linear algebra operations.
All labels observed (2)
| Label | Occurrences |
|---|---|
| SparseMatrixCSC canonical | 2 |
| CSC (Compressed Sparse Column) | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T4443257 — 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: SparseMatrixCSC Context triple: [SparseArrays, definesType, SparseMatrixCSC]
-
A.
SparseArrays
SparseArrays is a Julia standard library module that provides data structures and operations for efficiently working with sparse matrices and related linear algebra.
-
B.
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.
-
C.
cuSPARSE
cuSPARSE is NVIDIA’s GPU-accelerated library providing high-performance sparse linear algebra routines for CUDA applications.
-
D.
LinearAlgebra
LinearAlgebra is Julia’s standard library module providing core functionality for vectors, matrices, and advanced linear algebra operations.
-
E.
SCIP
SCIP is the ICAO airport code for Mataveri International Airport, the main air gateway to Easter Island in Chile.
- 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: SparseMatrixCSC Target entity description: SparseMatrixCSC is a Julia data type representing sparse matrices stored in compressed sparse column (CSC) format for efficient memory use and linear algebra operations.
-
A.
SparseArrays
SparseArrays is a Julia standard library module that provides data structures and operations for efficiently working with sparse matrices and related linear algebra.
-
B.
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.
-
C.
cuSPARSE
cuSPARSE is NVIDIA’s GPU-accelerated library providing high-performance sparse linear algebra routines for CUDA applications.
-
D.
LinearAlgebra
LinearAlgebra is Julia’s standard library module providing core functionality for vectors, matrices, and advanced linear algebra operations.
-
E.
SCIP
SCIP is the ICAO airport code for Mataveri International Airport, the main air gateway to Easter Island in Chile.
- F. None of above. chosen
Statements (47)
| Predicate | Object |
|---|---|
| instanceOf |
Julia data type
ⓘ
sparse matrix type ⓘ |
| abbreviationOf | CSC ⓘ |
| belongsToModule | SparseArrays ⓘ |
| columnIndexing | 1-based ⓘ |
| compatibleWith | SuiteSparse-based solvers ⓘ |
| constructedWithFunction |
sparse
ⓘ
sprand ⓘ spzeros ⓘ |
| defaultSparseFormatInJulia | true ⓘ |
| designedFor |
efficient memory use
ⓘ
linear algebra operations ⓘ |
| field |
colptr
ⓘ
m ⓘ n ⓘ nzval ⓘ rowval ⓘ |
| fieldMeaning |
colptr stores column pointers
ⓘ
m is the number of rows ⓘ n is the number of columns ⓘ nzval stores nonzero values ⓘ rowval stores row indices of nonzeros ⓘ |
| memoryEfficiencyReason | stores only nonzero entries ⓘ |
| nonzeroPattern | defined by rowval and colptr ⓘ |
| optimizedFor |
column-oriented operations
ⓘ
sparse linear algebra ⓘ |
| parameter |
Ti
ⓘ
Tv ⓘ |
| parameterMeaning |
Ti is integer index type
ⓘ
Tv is element type ⓘ |
| represents | sparse matrix ⓘ |
| rowIndexing | 1-based ⓘ |
| storedIn | compressed column format ⓘ |
| supertypeOf | SparseMatrixCSC{Tv,Ti} ⓘ |
| supportsElementType |
Complex numbers
ⓘ
Real numbers ⓘ arbitrary Julia numeric types ⓘ |
| supportsOperation |
conjugate transpose
ⓘ
factorization ⓘ iteration over nonzeros ⓘ linear system solve ⓘ matrix-matrix multiplication ⓘ matrix-vector multiplication ⓘ slicing ⓘ transpose ⓘ |
| usedIn |
Julia programming language
ⓘ
linked to:
Julia
|
| usesStorageFormat | compressed sparse column ⓘ |
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: SparseMatrixCSC Description of subject: SparseMatrixCSC is a Julia data type representing sparse matrices stored in compressed sparse column (CSC) format for efficient memory use and linear algebra operations.
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.
linked to: SparseMatrixCSC