Computer classification of linear codes based on lattice point enumeration and integer linear programming

Kurz S (2024)


Publication Language: English

Publication Status: Submitted

Publication Type: Unpublished / Preprint

Future Publication Type: Article in Edited Volumes

Publication year: 2024

Series: Lecture Notes in Computer Science

Abstract

Linear codes play a central role in coding theory and have applications in several branches of mathematics. For error correction purposes the minimum Hamming distance should be as large as possible. Linear codes related to applications in Galois Geometry often require a certain divisibility of the occurring weights. In this paper  we present an algorithmic framework for the classification of linear codes over finite fields with restricted sets of weights. The underlying algorithms are based on lattice point enumeration and integer linear programming. We present new enumeration and non-existence results for projective two-weight codes, divisible codes, and additive GF(4)-codes.

Authors with CRIS profile

How to cite

APA:

Kurz, S. (2024). Computer classification of linear codes based on lattice point enumeration and integer linear programming. (Unpublished, Submitted).

MLA:

Kurz, Sascha. Computer classification of linear codes based on lattice point enumeration and integer linear programming. Unpublished, Submitted. 2024.

BibTeX: Download