ENHANCED ALGORITHM FOR COMPUTING CAYLEY’S FIRST HYPERDETERMINANT

Combinatorial hyperdeterminant DET – is the homogeneous polynomial in the entries of a hypermatrix of even number of indices, which is also a unique SL-invariant of minimal degree. It was first studied by Cayley in the middle of 19-th century. Given its fundamental nature, the computation of this polynomial is an important task. For fixed d and a cubical hypermatrix X of length n Barvinok introduced an algorithm of computing hyperdeterminant in 0(2 nd n d-1 ) . Since the problem of deciding whether for the given hypermatrix X the hyperdeterminant DET(X) is equal to zero is NP-hard, it is essential to develop efficient algorithm for computing hyperdeterminant, as the size of problem grows exponentially. We provide enhanced algorithm of computing hyperdeterminant that requires 0(2 n(d-1) n d-1 ) arithmetic operations.

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Publication Details

Journal
Herald of Kazakh-British technical university
Published
2024-10-01
DOI
https://doi.org/10.55452/1998-6688-2024-21-3-58-65
Primary Topic
Tensor decomposition and applications
Type
article
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article

ENHANCED ALGORITHM FOR COMPUTING CAYLEY’S FIRST HYPERDETERMINANT

Alimzhan Amanov
Herald of Kazakh-British technical university
Tensor decomposition and applications
article

ENHANCED ALGORITHM FOR COMPUTING CAYLEY’S FIRST HYPERDETERMINANT

Alimzhan Amanov
article en

Abstract

Combinatorial hyperdeterminant DET – is the homogeneous polynomial in the entries of a hypermatrix of even number of indices, which is also a unique SL-invariant of minimal degree. It was first studied by Cayley in the middle of 19-th century. Given its fundamental nature, the computation of this polynomial is an important task. For fixed d and a cubical hypermatrix X of length n Barvinok introduced an algorithm of computing hyperdeterminant in 0(2 nd n d-1 ) . Since the problem of deciding whether for the given hypermatrix X the hyperdeterminant DET(X) is equal to zero is NP-hard, it is essential to develop efficient algorithm for computing hyperdeterminant, as the size of problem grows exponentially. We provide enhanced algorithm of computing hyperdeterminant that requires 0(2 n(d-1) n d-1 ) arithmetic operations.

Herald of Kazakh-British technical universityVol. 21(3)
Kazakh-British Technical University (KZ)
Openalex Percentile: Top 85%
Tensor decomposition and applications
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