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Survey of Some Recent Near Polynomial Time Results for Parity Games

机译:关于奇偶校验游戏的一些近期多项式时间结果的调查

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In this talk we will describe a Quasi Polynomial time algorithm for parity games given by Calude et al (STOC 2017). The runtime for the algorithm is O(n~((log)(m)+6)), where n is the number of nodes and m is the number of colours (priorities). The parameterised parity game - with n nodes and m distinct colours is proven to be in the class of fixed parameter tractable problems (FPT) when parameterised over m. The corresponding runtime is O(n~5 +g(m)), where g(m) can be taken to be m~(m+6). We will also discuss the next developments in the field which improved the above algorithm by making it simultaneously in near linear space by Jurdzinski and Lazic (LICS 2017) and Fearnley et al (SPIN 2017). Recently, Lehtinen (LICS 2018) introduced the notion of register index complexity and showed that this is logarithmic in the number of nodes; furthermore, a game with register index complexity k, the parity game can be solved in time m~(O(k)) . n~(O(1)) which provides another quasipolynomial time algorithm for parity games.
机译:在这谈话中,我们将描述Calude等人给出的奇偶校验游戏的准多项式时间算法(STOC 2017)。算法的运行时是O(n〜((log)(m)+6)),其中n是节点的数量,m是颜色的数量(优先级)。参数化奇偶校验游戏 - 使用N节点和M个不同颜色的分明颜色被证明是在COMPORY中参数化的固定参数毫无手术问题(FPT)。相应的运行时是O(n〜5 + g(m)),其中g(m)可以被认为是m〜(m + 6)。我们还将讨论该领域的下一个发展,通过Jurdzinski和Lickic(Lics 2017)和Gearnley等(Spin 2017)在近在线性空间中同时进行上述算法。最近,LEHTINEN(2018年LICS)引入了寄存器索引复杂性的概念,并显示了该节点数量的对数;此外,具有寄存器索引复杂度K的游戏,可以在时间m〜(o(k))中解决奇偶校验游戏。 n〜(1))为奇偶校验游戏提供另一种QuasioIioMoMialial算法。

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