EISPACK
E1192509
UNEXPLORED
EISPACK is a numerical software library written in Fortran for computing eigenvalues and eigenvectors of matrices, widely used before being superseded by LAPACK.
All labels observed (1)
| Label | Occurrences |
|---|---|
| EISPACK canonical | 3 |
How this entity was disambiguated
This entity first appeared as the object of triple T16076553 — 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: EISPACK Context triple: [LINPACK, relatedTo, EISPACK]
-
A.
LINPACK
LINPACK is a widely used benchmark and software library for performing numerical linear algebra computations, particularly solving systems of linear equations.
-
B.
arpack
arpack is a numerical software library for efficiently computing a few eigenvalues and eigenvectors of large sparse matrices, commonly used in scientific computing and machine learning.
-
C.
ELL (ELLPACK)
ELL (ELLPACK) is a sparse matrix storage format that stores each row with a fixed number of nonzero elements, enabling efficient and regular memory access patterns on parallel architectures like GPUs.
-
D.
Jacobi eigenvalue algorithm
The Jacobi eigenvalue algorithm is an iterative numerical method for computing all eigenvalues and eigenvectors of a real symmetric matrix by applying a sequence of orthogonal similarity transformations.
-
E.
LAPACK
LAPACK is a widely used software library that provides highly optimized routines for numerical linear algebra operations such as solving systems of equations, eigenvalue problems, and singular value decompositions.
- 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: EISPACK Target entity description: EISPACK is a numerical software library written in Fortran for computing eigenvalues and eigenvectors of matrices, widely used before being superseded by LAPACK.
-
A.
LINPACK
LINPACK is a widely used benchmark and software library for performing numerical linear algebra computations, particularly solving systems of linear equations.
-
B.
arpack
arpack is a numerical software library for efficiently computing a few eigenvalues and eigenvectors of large sparse matrices, commonly used in scientific computing and machine learning.
-
C.
ELL (ELLPACK)
ELL (ELLPACK) is a sparse matrix storage format that stores each row with a fixed number of nonzero elements, enabling efficient and regular memory access patterns on parallel architectures like GPUs.
-
D.
Jacobi eigenvalue algorithm
The Jacobi eigenvalue algorithm is an iterative numerical method for computing all eigenvalues and eigenvectors of a real symmetric matrix by applying a sequence of orthogonal similarity transformations.
-
E.
LAPACK
LAPACK is a widely used software library that provides highly optimized routines for numerical linear algebra operations such as solving systems of equations, eigenvalue problems, and singular value decompositions.
- F. None of above. chosen
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.