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Introduction to Mathematical Programming-Based Error-Correction Decoding

Information Theory 2015-09-04 v1 math.IT

Abstract

Decoding error-correctiong codes by methods of mathematical optimization, most importantly linear programming, has become an important alternative approach to both algebraic and iterative decoding methods since its introduction by Feldman et al. At first celebrated mainly for its analytical powers, real-world applications of LP decoding are now within reach thanks to most recent research. This document gives an elaborate introduction into both mathematical optimization and coding theory as well as a review of the contributions by which these two areas have found common ground.

Keywords

Cite

@article{arxiv.1509.01117,
  title  = {Introduction to Mathematical Programming-Based Error-Correction Decoding},
  author = {Michael Helmling},
  journal= {arXiv preprint arXiv:1509.01117},
  year   = {2015}
}

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LaTeX sources maintained here: https://github.com/supermihi/lpdintro

R2 v1 2026-06-22T10:48:27.746Z