Treffer: Quality of LP-based approximations for highly combinatorial problems

Title:
Quality of LP-based approximations for highly combinatorial problems
Source:
CP 2004 : principles and practice of constraint programming (Toronto ON, 27 September - 1 October 2004)Lecture notes in computer science. :377-392
Publisher Information:
Berlin: Springer, 2004.
Publication Year:
2004
Physical Description:
print, 17 ref
Original Material:
INIST-CNRS
Document Type:
Konferenz Conference Paper
File Description:
text
Language:
English
Author Affiliations:
Dpt. of Computer Science, Cornell University, Ithaca, NY 14853, United States
ISSN:
0302-9743
Rights:
Copyright 2004 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Computer science; theoretical automation; systems
Accession Number:
edscal.16177179
Database:
PASCAL Archive

Weitere Informationen

We study the quality of LP-based approximation methods for pure combinatorial problems. We found that the quality of the LP-relaxation is a direct function of the underlying constrainedness of the combinatorial problem. More specifically, we identify a novel phase transition phenomenon in the solution integrality of the relaxation. The solution quality of approximation schemes degrades substantially near phase transition boundaries. Our findings are consistent over a range of LP-based approximation schemes. We also provide results on the extent to which LP relaxations can provide a global perspective of the search space and therefore be used as a heuristic to guide a complete solver.