A fast algorithm to find reduced hyperplane unit cells and solve N-dimensional Bezout identities
Cyril Cayron

TL;DR
This paper introduces an efficient algorithm for identifying minimal hyperplane unit cells and solving N-dimensional Bezout identities, facilitating computations in higher-dimensional lattice problems.
Contribution
It presents a novel fast algorithm to find reduced hyperplane unit cells and solve associated N-dimensional Bezout identities, improving computational efficiency.
Findings
Algorithm efficiently computes minimal hyperplane unit cells.
Method provides all solutions to N-dimensional Bezout identities.
Enhances computational tools for lattice and number theory problems.
Abstract
The paper explains the method to determine a short unit cell attached to any hyperplane given by its integer vector . Equivalently, it gives all the solutions of the -dimensional Bezout identity associated with the coordinates of .
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Taxonomy
TopicsPhotonic and Optical Devices · Nanofabrication and Lithography Techniques · Photonic Crystals and Applications
