doi:10.1016/j.entcs.2008.03.011
Copyright © 2008 Elsevier B.V. All rights reserved.
Complexity of Operators on Compact Sets
Xishun Zhao1, 4, a,
and Norbert Müller1, 5, b, 
aInstitute of Logic and Cognition, Sun Yat-Sen University, 510275 Guangzhou, P.R. China
bFB IV, Abteilung Informatik, Universität Trier, D-54286 Trier, Germany
Available online 20 March 2008.
Abstract
Based on oracle Turing machines, we investigate the computational complexity of operators on compact sets. For the projection and convex hull we are able to show exponential upper and lower bounds as well as a connection to the P=NP problem for special settings.
Keywords: Oracle Turing machines; compact sets; operator complexity; projection; convex hull
References
Braverman, M., Computational Complexity of Euclidean Sets: Hyperbolic Julia Sets Are Poly-time Computable, Master Thesis, University of Toronto, 2004.
Braverman, M., On the Complexity of Real Functions, Proceedings of the 46th Annual IEEE Symposium on Foundations of Computer Science (FOCS) (2005), 155–164.
A.W. Chou and K. Ko, On the complexity of finding paths in a two-dimensional domain I: shortest paths,
Math. Logic Quart. 50 (2004), pp. 551–572 preliminary version in Proc. Internat. Conf. on Computability and Complexity in Analysis, Hagen, Germany, 2003.
View Record in Scopus |
Cited By in Scopus (8)
K. Ko, Complexity Theory of Real Functions, Birkhäuser, Boston (1991).
K. Ko and H. Friedman, Computational complexity of real functions, Theoret. Comput. Sci. 20 (1982), pp. 323–352.
J.F. Traub, G.W. Wasilkowski and H. Wozniakowski, Information, Uncertainty, Complexity, Addison-Wesley, New York (1983).
J.F. Traub, G.W. Wasilkowski and H. Wozniakowski, Information-Based Complexity, Academic Press, New York (1988).
Rettinger, R. & K. Weihrauch, The Computational Complexity of Some Julia Sets, in STOC03, San Diego, California, USA, 2003.
K. Weihrauch, Computable Analysis: An Introduction, Springer (2000).
K. Weihrauch, Computable Complexity on Computable Metric Spaces, Math. Logic Quarterly 49 (1) (2003), pp. 3–21.
1 The authors would like to thank Professor Klaus Weihrauch for his useful comments and suggestions to write this paper, and the anonymous referees for many valuable hints and corrections.
4 Research was partially supported by the NSFC projects under Grant No. 60573011, 10410638 and a MOE project under grant number 05JJD72040122
5 Research was partially supported by the DFG project 446 CHV 113/240/0-1