Interior-Point Algorithms for Linear-Programming Decoding

TL;DR

This paper explores efficient interior-point algorithms tailored for solving the linear programming problems involved in linear-programming decoding, aiming to improve decoding efficiency.

Contribution

It presents optimized implementations of interior-point algorithms specifically designed for the linear programs in decoding applications.

Findings

Enhanced decoding speed with new algorithm implementations

Reduced computational complexity in linear-programming decoding

Demonstrated effectiveness on benchmark decoding problems

Abstract

Interior-point algorithms constitute a very interesting class of algorithms for solving linear-programming problems. In this paper we study efficient implementations of such algorithms for solving the linear program that appears in the linear-programming decoder formulation.