Autour de nouvelles notions pour l'analyse des algorithmes d'approximation : de la structure de NPO à la structure des instances
Marc Demange; Vangelis Paschos
RAIRO - Operations Research (2010)
- Volume: 36, Issue: 4, page 311-350
- ISSN: 0399-0559
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topDemange, Marc, and Paschos, Vangelis. "Autour de nouvelles notions pour l'analyse des algorithmes d'approximation : de la structure de NPO à la structure des instances." RAIRO - Operations Research 36.4 (2010): 311-350. <http://eudml.org/doc/105276>.
@article{Demange2010,
abstract = {
This paper is the continuation of the paper “Autour
de nouvelles notions pour l'analyse des
algorithmes d'approximation: Formalisme unifié et classes
d'approximation” where a new formalism for polynomial
approximation and its basic tools allowing an “absolute”
(individual) evaluation the approximability properties of
NP-hard problems have been presented and discussed. In
order to be used for exhibiting a structure for the
class NPO (the optimization problems of NP),
these tools must be enriched with an “instrument” allowing
comparisons between approximability properties of different
problems (these comparisons must be independent on any specific
approximation result of the problems concerned). This instrument
is the approximability-preserving reductions. We show how to
integrate them in the formalism presented and propose the
definition of a new reduction unifying, under a specific point of
view a great number of existing ones. This new reduction allows
also to widen the use of the reductions, restricted until now
either between versions of a problem, or between problems, in
order to enhance structural relations between frameworks. They
allow, for example, to study how standard-approximation properties
of a problem transform into differential-approximation ones (for
the same problem, or for another one). Finally, we apply the
several concepts introduced to the study of the structure (and
hardness) of the instances of a problem. This point of view seems
particurarly fruitful for a better apprehension of the hardness of
certain problems and of the mechanisms for the design of efficient
solutions for them.
},
author = {Demange, Marc, Paschos, Vangelis},
journal = {RAIRO - Operations Research},
keywords = {Complexité; difficulté intrinsèque; analyse des algorithmes et des problèmes; algorithmes d'approximation},
language = {eng},
month = {3},
number = {4},
pages = {311-350},
publisher = {EDP Sciences},
title = {Autour de nouvelles notions pour l'analyse des algorithmes d'approximation : de la structure de NPO à la structure des instances},
url = {http://eudml.org/doc/105276},
volume = {36},
year = {2010},
}
TY - JOUR
AU - Demange, Marc
AU - Paschos, Vangelis
TI - Autour de nouvelles notions pour l'analyse des algorithmes d'approximation : de la structure de NPO à la structure des instances
JO - RAIRO - Operations Research
DA - 2010/3//
PB - EDP Sciences
VL - 36
IS - 4
SP - 311
EP - 350
AB -
This paper is the continuation of the paper “Autour
de nouvelles notions pour l'analyse des
algorithmes d'approximation: Formalisme unifié et classes
d'approximation” where a new formalism for polynomial
approximation and its basic tools allowing an “absolute”
(individual) evaluation the approximability properties of
NP-hard problems have been presented and discussed. In
order to be used for exhibiting a structure for the
class NPO (the optimization problems of NP),
these tools must be enriched with an “instrument” allowing
comparisons between approximability properties of different
problems (these comparisons must be independent on any specific
approximation result of the problems concerned). This instrument
is the approximability-preserving reductions. We show how to
integrate them in the formalism presented and propose the
definition of a new reduction unifying, under a specific point of
view a great number of existing ones. This new reduction allows
also to widen the use of the reductions, restricted until now
either between versions of a problem, or between problems, in
order to enhance structural relations between frameworks. They
allow, for example, to study how standard-approximation properties
of a problem transform into differential-approximation ones (for
the same problem, or for another one). Finally, we apply the
several concepts introduced to the study of the structure (and
hardness) of the instances of a problem. This point of view seems
particurarly fruitful for a better apprehension of the hardness of
certain problems and of the mechanisms for the design of efficient
solutions for them.
LA - eng
KW - Complexité; difficulté intrinsèque; analyse des algorithmes et des problèmes; algorithmes d'approximation
UR - http://eudml.org/doc/105276
ER -
References
top- L. Alfandari, Approximation de problèmes de couverture et de partitionnement de graphes, Ph.D. Thesis. LAMSADE, Université Paris-Dauphine (1999).
- N. Alon et N. Kahale, Approximating the independence number via the θ-function. Math. Programming (1998).
- T. Andreæ et H.-J. Bandelt, Performance guarantees for approximation algorithms depending on parametrized triangle inequalities. SIAM J. Discrete Math.8 (1995) 1-16.
- G. Ausiello, P. Crescenzi, G. Gambosi, V. Kann, A. Marchetti-Spaccamela et M. Protasi, Complexity and approximation. Combinatorial optimization problems and their approximability properties. Springer, Heidelberg (1999).
- G. Ausiello, P. Crescenzi et M. Protasi, Approximate solutions of NP optimization problems. Theoret. Comput. Sci.150 (1995) 1-55.
- G. Ausiello, A. D'Atri et M. Protasi, Structure preserving reductions among convex optimization problems. J. Comput. System Sci.21 (1980) 136-153.
- M.A. Bender et C. Chekuri, Performance guarantees for the TSP with a parametrized triangle inequality, dans Proc. WADS'99. Springer, Lecture Notes in Comput. Sci. 1663 (1999) 80-85.
- C. Berge, Graphs and hypergraphs. North Holland, Amsterdam (1973).
- P. Berman et J. Hartmanis, On isomorphisms and density of np and other complete sets. SIAM J. Comput.6 (1977) 305-322.
- H.-J. Böckenhauer, J. Hromkovic, R. Klasing, S. Seibert et W. Unger, Towards the notion of stability of approximation algorithms and the traveling salesman problem, Report 31, Electr. Colloq. Computational Comp. (1999).
- height 2pt depth -1.6pt width 23pt, Approximation algorithms for the TSP with sharpened triangle inequality. Inform. Process. Lett.75 (2000) 133-138.
- height 2pt depth -1.6pt width 23pt, An improved lower bound on the approximability of metric TSP and approximation algorithms for the TSP with sharpened triangle inequality, dans Proc. STACS'00. Springer, Lecture Notes in Comput. Sci. (2000) 382-394.
- H.-J. Böckenhauer et S. Seibert, Improved lower bounds on the approximability of the traveling salesman problem. RAIRO: Theoret. Informatics Appl.34 (2000) 213-255.
- B.B. Boppana et M.M. Halldórsson, Approximating maximum independent sets by excluding subgraphs. BIT32 (1992) 180-196.
- N. Creignou, Temps linéaire et problèmes NP-complets, Ph.D. Thesis. Université de Caen (1993).
- P. Crescenzi, A short guide to approximation preserving reductions, dans Proc. Conference on Computational Complexity (1997) 262-273.
- P. Crescenzi, V. Kann, R. Silvestri et L. Trevisan, Structure in approximation classes, Technical Report TR96-066, Electronic Colloquium on Computational Complexity (1996). Available on www_address: http://www.eccc.uni-trier.de/eccc/
- P. CRESCENZI ET A. PANCONESI, Completeness in approximation classes. SIAM J. Comput. (1991).
- M. Demange, P. Grisoni et V.T. Paschos, Differential approximation algorithms for some combinatorial optimization problems. Theoret. Comput. Sci.209 (1998) 107-122.
- M. Demange, J. Monnot et V.T. Paschos, Bridging gap between standard and differential polynomial approximation: The case of bin-packing. Appl. Math. Lett.12 (1999) 127-133.
- height 2pt depth -1.6pt width 23pt, Maximizing the number of unused bins. Found. Comput. Decision Sci.26 (2001) 169-186.
- M. Demange et V.T. Paschos, Valeurs extrémales d'un problème d'optimisation combinatoire et approximation polynomiale. Math. Inf. Sci. Humaines135 (1996) 51-66.
- height 2pt depth -1.6pt width 23pt, Towards a general formal framework for polynomial approximation. Cahier du LAMSADE177. LAMSADE, Université Paris-Dauphine (2001).
- height 2pt depth -1.6pt width 23pt, Autour de nouvelles notions pour l'analyse des algorithmes d'approximation : formalisme unifié et classes d'approximation. RAIRO: Oper. Res.36 (2002) 237-277.
- U. Feige et J. Kilian, Zero knowledge and the chromatic number, dans Proc. Conference on Computational Complexity (1996) 278-287.
- M.R. Garey et D.S. Johnson, Computers and intractability. A guide to the theory of NP-completeness. W. H. Freeman, San Francisco (1979).
- M.M. Halldórsson, Approximating the minimum maximal independence number. Inform. Process. Lett.46 (1993) 169-172.
- height 2pt depth -1.6pt width 23pt, Approximations via partitioning, JAIST Research Report IS-RR-95-0003F. Japan Advanced Institute of Science and Technology, Japan (1995).
- J. Håstad, Clique is hard to approximate within n1-ε. Acta Math.182 (1999) 105-142.
- D.S. Hochbaum, Approximation algorithms for NP-hard problems. PWS, Boston (1997).
- D.S. Johnson, Approximation algorithms for combinatorial problems. J. Comput. System Sci.9 (1974) 256-278.
- V. Kann, Polynomially bounded problems that are hard to approximate. Nordic J. Comput.1 (1994) 317-331.
- D. Karger, R. Motwani et M. Sudan, Approximate graph coloring by semidefinite programming. J. Assoc. Comput. Mach.45 (1998) 246-265.
- R.M. Karp, Reducibility among combinatorial problems, dans Complexity of computer computations, édité par R.E. Miller et J.W. Thatcher, Plenum Press, New York (1972) 85-103.
- S. Khanna, R. Motwani, M. Sudan et U. Vazirani, On syntactic versus computational views of approximability. SIAM J. Comput.28 (1998) 164-191.
- J. Lorenzo, Approximation des solutions et des valeurs des problèmes NP-complets, Thèse de Doctorat. CERMSEM, Université Paris I (en préparation).
- N. Lynch et J. Lipton, On structure preserving reductions. SIAM J. Comput.7 (1978) 119-126.
- J. Monnot, Familles critiques d'instances et approximation polynomiale, Ph.D. Thesis. LAMSADE, Université Paris-Dauphine (1998).
- G.L. Nemhauser, L.A. Wolsey et M.L. Fischer, An analysis of approximations for maximizing submodular set functions. Math. Programming14 (1978) 265-294.
- P. Orponen et H. Mannila, On approximation preserving reductions: Complete problems and robust measures, Tech. Rep. C-1987-28. Dept. of Computer Science, University of Helsinki, Finland (1987).
- C.H. Papadimitriou et K. Steiglitz, Combinatorial optimization: Algorithms and complexity. Prentice Hall, New Jersey (1981).
- C.H. Papadimitriou et M. Yannakakis, Optimization, approximation and complexity classes. J. Comput. System Sci.43 (1991) 425-440.
- A. Paz et S. Moran, Non deterministic polynomial optimization problems and their approximations. Theoret. Comput. Sci.15 (1981) 251-277.
- H.U. Simon, On approximate solutions for combinatorial optimization problems. SIAM J. Discrete Math.3 (1990) 294-310.
- V. Vazirani, Approximation algorithms. Springer, Heidelberg (2001).
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