@article{ZNSL_2012_399_a1,
author = {E. A. Hirsch and D. M. Itsykson and V. O. Nikolaenko and A. V. Smal},
title = {Optimal heuristic algorithms for the image of an injective function},
journal = {Zapiski Nauchnykh Seminarov POMI},
pages = {15--31},
year = {2012},
volume = {399},
language = {en},
url = {http://geodesic.mathdoc.fr/item/ZNSL_2012_399_a1/}
}
TY - JOUR AU - E. A. Hirsch AU - D. M. Itsykson AU - V. O. Nikolaenko AU - A. V. Smal TI - Optimal heuristic algorithms for the image of an injective function JO - Zapiski Nauchnykh Seminarov POMI PY - 2012 SP - 15 EP - 31 VL - 399 UR - http://geodesic.mathdoc.fr/item/ZNSL_2012_399_a1/ LA - en ID - ZNSL_2012_399_a1 ER -
E. A. Hirsch; D. M. Itsykson; V. O. Nikolaenko; A. V. Smal. Optimal heuristic algorithms for the image of an injective function. Zapiski Nauchnykh Seminarov POMI, Computational complexity theory. Part X, Tome 399 (2012), pp. 15-31. http://geodesic.mathdoc.fr/item/ZNSL_2012_399_a1/
[1] A. Bogdanov, L. Trevisan, “Average-case complexity”, Foundation and Trends in Theoretical Computer Science, 2:1 (2006), 1–106 | DOI | MR
[2] Y. Chen, J. Flum, M. Müller, “Hard instances of algorithms and proof systems”, Electronic Colloquium on Computational Complexity, 2011, 11-085 | MR
[3] O. Goldreich, Foundation of Cryptography: Basic Tools, Cambridge University Press, 1995 | MR
[4] O. Goldreich, A. Wigderson, “Tiny families of functions with random properties: A quality-size trade-off for hashing”, Random Structures Algorithms, 11:4 (1997), 315–343 | 3.0.CO;2-1 class='badge bg-secondary rounded-pill ref-badge extid-badge'>DOI | MR | Zbl
[5] E. A. Hirsch, D. Itsykson, I. Monakov, A. Smal, “On optimal heuristic randomized semidecision procedures, with applications to proof complexity and cryptography”, Theory of Computing Systems, 2012 (to appear)
[6] E. A. Hirsch, “Optimal acceptors and optimal proof systems”, TAMC, Lect. Notes Computer Sci., 6108, 2010, 28–39 | DOI | MR | Zbl
[7] J. Krajíček, P. Pudlák, “Propositional proof systems, the consistency of first order theories and the complexity of computations”, J. Symbolic Logic, 54:3 (1989), 1063–1079 | DOI | MR | Zbl
[8] L. A. Levin, “Universal sequential search problems”, Problems Information Transmission, 9 (1973), 265–266 | MR
[9] C. McDiarmid, “Concentration”, Algorithms Combinatorics, 16, Springer-Verlag, 1998, 195–248 | DOI | MR | Zbl
[10] J. Messner, “On optimal algorithms and optimal proof systems”, Proceedings of the 16th Symposium on Theoretical Aspects of Computer Science, Lect. Notes Computer Sci., 1563, 1999, 361–372 | MR
[11] H. Monroe, “Speedup for natural problems and noncomputability”, Theor. Computer Sci., 412:4–5 (2011), 478–481 | DOI | MR | Zbl
[12] Z. Sadowski, “On an optimal deterministic algorithm for SAT”, Proceedings of CSL' 98, Lect. Notes Computer Sci., 1584, Springer, 1999, 179-187 | DOI | MR | Zbl