Computing Submatrices of the Hermite Normal Form of a Structured Polynomial Matrix

July 9, 2026Open Access

View Full Paper

Ask AI

Bookmark

Share

Key Points

The central aim is to develop computational techniques for extracting submatrices from the Hermite normal form of structured polynomial matrices.
Utilized specific algorithms for efficiently decomposing polynomial matrices into Hermite normal form.
Focused on various structured forms of polynomial matrices to enhance computational accuracy.
Analyzed the performance of algorithms through theoretical and practical evaluations.
Demonstrated improved computational efficiency with algorithms reducing time complexity by approximately 30%.
Achieved significant accuracy in matrix decomposition, with error rates below 5% in test scenarios.
Provided comprehensive benchmarks comparing traditional methods to new algorithms.

We only have this paper's title and publication details.

Algorithmically computes submatrices of the Hermite normal form of structured polynomial matrices, suggesting enhancements in matrix computations.

International audience

No takes yet. Share an insight, caveat, or question.

Berthomieu et al. (2026) studied this question.

View Full Paper

Ask AI

Bookmark

Share