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Bibliographic Details
Main Author: Hofman, Radoslaw
Format: Preprint
Published: 2006
Subjects:
Online Access:https://arxiv.org/abs/cs/0611008
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author Hofman, Radoslaw
author_facet Hofman, Radoslaw
contents This article discusses ability of Linear Programming models to be used as solvers of NP-complete problems. Integer Linear Programming is known as NP-complete problem, but non-integer Linear Programming problems can be solved in polynomial time, what places them in P class. During past three years there appeared some articles using LP to solve NP-complete problems. This methods use large number of variables (O(n^9)) solving correctly almost all instances that can be solved in reasonable time. Can they solve infinitively large instances? This article gives answer to this question.
format Preprint
id arxiv_https___arxiv_org_abs_cs_0611008
institution arXiv
publishDate 2006
record_format arxiv
spellingShingle Why Linear Programming cannot solve large instances of NP-complete problems in polynomial time
Hofman, Radoslaw
Computational Complexity
Discrete Mathematics
Data Structures and Algorithms
Numerical Analysis
F.1; F.2
This article discusses ability of Linear Programming models to be used as solvers of NP-complete problems. Integer Linear Programming is known as NP-complete problem, but non-integer Linear Programming problems can be solved in polynomial time, what places them in P class. During past three years there appeared some articles using LP to solve NP-complete problems. This methods use large number of variables (O(n^9)) solving correctly almost all instances that can be solved in reasonable time. Can they solve infinitively large instances? This article gives answer to this question.
title Why Linear Programming cannot solve large instances of NP-complete problems in polynomial time
topic Computational Complexity
Discrete Mathematics
Data Structures and Algorithms
Numerical Analysis
F.1; F.2
url https://arxiv.org/abs/cs/0611008