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Quasi-polynomial growth

In theoretical computer science, a function is said to exhibit quasi-polynomial growth when it has an upper bound of the form

for some constant , as expressed using big O notation. That is, it is bounded by an exponential function of a polylogarithmic function. This generalizes the polynomials and the functions of polynomial growth, for which one can take . A function with quasi-polynomial growth is also said to be quasi-polynomially bounded.[1]

Quasi-polynomial growth has been used in the analysis of algorithms to describe certain algorithms whose computational complexity is not polynomial, but is substantially smaller than exponential. In particular, algorithms whose worst-case running times exhibit quasi-polynomial growth are said to take quasi-polynomial time.[2] As well as time complexity, some algorithms require quasi-polynomial space complexity,[3] use a quasi-polynomial number of parallel processors,[4] can be expressed as algebraic formulas of quasi-polynomial size[2] or have a quasi-polynomial competitive ratio.[5] In some other cases, quasi-polynomial growth is used to model restrictions on the inputs to a problem that, when present, lead to good performance from algorithms on those inputs.[1] It can also bound the size of the output for some problems; for instance, for the shortest path problem with linearly varying edge weights, the number of distinct solutions can be quasipolynomial.[6][7]

Beyond theoretical computer science, quasi-polynomial growth bounds have also been used in mathematics, for instance in partial results on the Hirsch conjecture for the diameter of polytopes in polyhedral combinatorics,[8] or relating the sizes of cliques and independent sets in certain classes of graphs.[9] However, in polyhedral combinatorics and enumerative combinatorics, a different meaning of the same word also is used, for the quasi-polynomials, functions that generalize polynomials by having periodic coefficients.[10]

References edit

  1. ^ a b Ackermann, Heiner; Newman, Alantha; Röglin, Heiko; Vöcking, Berthold (2007), "Decision-making based on approximate and smoothed Pareto curves", Theoretical Computer Science, 378 (3): 253–270, doi:10.1016/j.tcs.2007.02.034, MR 2325290
  2. ^ a b von zur Gathen, Joachim (1987), "Feasible arithmetic computations: Valiant's hypothesis", Journal of Symbolic Computation, 4 (2): 137–172, doi:10.1016/S0747-7171(87)80063-9, MR 0922386
  3. ^ Fearnley, John; Jain, Sanjay; de Keijzer, Bart; Schewe, Sven; Stephan, Frank; Wojtczak, Dominik (2019), "An ordered approach to solving parity games in quasi-polynomial time and quasi-linear space", Int. J. Softw. Tools Technol. Transf., 21 (3): 325–349, arXiv:1703.01296, doi:10.1007/S10009-019-00509-3
  4. ^ Fenner, Stephen; Gurjar, Rohit; Thierauf, Thomas (2021), "Bipartite perfect matching is in quasi-NC", SIAM Journal on Computing, 50 (3): 218–235, arXiv:1601.06319, doi:10.1137/16M1097870, MR 4277935
  5. ^ Bosek, Bartlomiej; Krawczyk, Tomasz (2010), "The sub-exponential upper bound for on-line chain partitioning", 51th Annual IEEE Symposium on Foundations of Computer Science, FOCS 2010, October 23-26, 2010, Las Vegas, Nevada, USA, IEEE Computer Society, pp. 347–354, doi:10.1109/FOCS.2010.40
  6. ^ Carstensen, Patricia June (1983), The complexity of some problems in parametric linear and combinatorial programming, Doctoral dissertation, University of Michigan, ProQuest 303275648
  7. ^ Barth, Florian; Funke, Stefan; Proissl, Claudius (2022), "An upper bound on the number of extreme shortest paths in arbitrary dimensions", in Chechik, Shiri; Navarro, Gonzalo; Rotenberg, Eva; Herman, Grzegorz (eds.), 30th Annual European Symposium on Algorithms, ESA 2022, September 5-9, 2022, Berlin/Potsdam, Germany, LIPIcs, vol. 244, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, pp. 14:1–14:12, doi:10.4230/LIPICS.ESA.2022.14
  8. ^ Kalai, Gil; Kleitman, Daniel J. (1992), "A quasi-polynomial bound for the diameter of graphs of polyhedra", Bulletin of the American Mathematical Society, New Series, 26 (2): 315–316, doi:10.1090/S0273-0979-1992-00285-9, MR 1130448
  9. ^ Pilipczuk, Marek; Sokołowski, Michał (2023), "Graphs of bounded twin-width are quasi-polynomially  -bounded", Journal of Combinatorial Theory, Series B, 161: 382–406, arXiv:2202.07608, doi:10.1016/j.jctb.2023.02.006, MR 4568111
  10. ^ McAllister, Tyrrell B.; Woods, Kevin M. (2005), "The minimum period of the Ehrhart quasi-polynomial of a rational polytope", Journal of Combinatorial Theory, Series A, 109 (2): 345–352, arXiv:math/0310255, doi:10.1016/j.jcta.2004.08.006, MR 2121031

quasi, polynomial, growth, this, article, about, growth, rate, that, exponential, polylogarithmic, function, polynomials, with, periodically, varying, coefficients, quasi, polynomial, theoretical, computer, science, function, displaystyle, said, exhibit, quasi. This article is about a growth rate that is exponential in a polylogarithmic function For polynomials with periodically varying coefficients see quasi polynomial In theoretical computer science a function f n displaystyle f n is said to exhibit quasi polynomial growth when it has an upper bound of the formf n 2O log n c displaystyle f n 2 O bigl log n c bigr for some constant c displaystyle c as expressed using big O notation That is it is bounded by an exponential function of a polylogarithmic function This generalizes the polynomials and the functions of polynomial growth for which one can take c 1 displaystyle c 1 A function with quasi polynomial growth is also said to be quasi polynomially bounded 1 Quasi polynomial growth has been used in the analysis of algorithms to describe certain algorithms whose computational complexity is not polynomial but is substantially smaller than exponential In particular algorithms whose worst case running times exhibit quasi polynomial growth are said to take quasi polynomial time 2 As well as time complexity some algorithms require quasi polynomial space complexity 3 use a quasi polynomial number of parallel processors 4 can be expressed as algebraic formulas of quasi polynomial size 2 or have a quasi polynomial competitive ratio 5 In some other cases quasi polynomial growth is used to model restrictions on the inputs to a problem that when present lead to good performance from algorithms on those inputs 1 It can also bound the size of the output for some problems for instance for the shortest path problem with linearly varying edge weights the number of distinct solutions can be quasipolynomial 6 7 Beyond theoretical computer science quasi polynomial growth bounds have also been used in mathematics for instance in partial results on the Hirsch conjecture for the diameter of polytopes in polyhedral combinatorics 8 or relating the sizes of cliques and independent sets in certain classes of graphs 9 However in polyhedral combinatorics and enumerative combinatorics a different meaning of the same word also is used for the quasi polynomials functions that generalize polynomials by having periodic coefficients 10 References edit a b Ackermann Heiner Newman Alantha Roglin Heiko Vocking Berthold 2007 Decision making based on approximate and smoothed Pareto curves Theoretical Computer Science 378 3 253 270 doi 10 1016 j tcs 2007 02 034 MR 2325290 a b von zur Gathen Joachim 1987 Feasible arithmetic computations Valiant s hypothesis Journal of Symbolic Computation 4 2 137 172 doi 10 1016 S0747 7171 87 80063 9 MR 0922386 Fearnley John Jain Sanjay de Keijzer Bart Schewe Sven Stephan Frank Wojtczak Dominik 2019 An ordered approach to solving parity games in quasi polynomial time and quasi linear space Int J Softw Tools Technol Transf 21 3 325 349 arXiv 1703 01296 doi 10 1007 S10009 019 00509 3 Fenner Stephen Gurjar Rohit Thierauf Thomas 2021 Bipartite perfect matching is in quasi NC SIAM Journal on Computing 50 3 218 235 arXiv 1601 06319 doi 10 1137 16M1097870 MR 4277935 Bosek Bartlomiej Krawczyk Tomasz 2010 The sub exponential upper bound for on line chain partitioning 51th Annual IEEE Symposium on Foundations of Computer Science FOCS 2010 October 23 26 2010 Las Vegas Nevada USA IEEE Computer Society pp 347 354 doi 10 1109 FOCS 2010 40 Carstensen Patricia June 1983 The complexity of some problems in parametric linear and combinatorial programming Doctoral dissertation University of Michigan ProQuest 303275648 Barth Florian Funke Stefan Proissl Claudius 2022 An upper bound on the number of extreme shortest paths in arbitrary dimensions in Chechik Shiri Navarro Gonzalo Rotenberg Eva Herman Grzegorz eds 30th Annual European Symposium on Algorithms ESA 2022 September 5 9 2022 Berlin Potsdam Germany LIPIcs vol 244 Schloss Dagstuhl Leibniz Zentrum fur Informatik pp 14 1 14 12 doi 10 4230 LIPICS ESA 2022 14 Kalai Gil Kleitman Daniel J 1992 A quasi polynomial bound for the diameter of graphs of polyhedra Bulletin of the American Mathematical Society New Series 26 2 315 316 doi 10 1090 S0273 0979 1992 00285 9 MR 1130448 Pilipczuk Marek Sokolowski Michal 2023 Graphs of bounded twin width are quasi polynomially x displaystyle chi nbsp bounded Journal of Combinatorial Theory Series B 161 382 406 arXiv 2202 07608 doi 10 1016 j jctb 2023 02 006 MR 4568111 McAllister Tyrrell B Woods Kevin M 2005 The minimum period of the Ehrhart quasi polynomial of a rational polytope Journal of Combinatorial Theory Series A 109 2 345 352 arXiv math 0310255 doi 10 1016 j jcta 2004 08 006 MR 2121031 Retrieved from https en wikipedia org w index php title Quasi polynomial growth amp oldid 1210315996, wikipedia, wiki, book, books, library,

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