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Exact Algorithms and Complexity

机译:精确算法和复杂性

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摘要

Over the past couple of decades, a series of exact exponential-time algorithms have been developed with improved run times for a number of problems including IndependentSet, k-SAT, and k-colorability using a variety of algorithmic techniques such as backtracking, dynamic programming, and inclusion-exclusion. The series of improvements are typically in the form of better exponents compared to exhaustive search. These improvements prompt several questions, chief among them is whether we can expect continued improvements in the exponent. Is there a limit beyond which one should not expect improvement? If we assume NP ≠P or other appropriate complexity statement, what can we say about the likely exact complexities of various NP-complete problems?
机译:在过去的几十年中,已经开发出一系列精确的指数时间算法,并使用多种算法技术(例如回溯,动态编程)改善了运行时间,从而解决了许多问题,包括IndependentSet,k-SAT和k可着色性,以及包含-排除。与详尽搜索相比,一系列改进通常采用更好的指数形式。这些改进引发了几个问题,其中主要是我们是否可以期望指数不断改进。有没有一个极限不能超过预期的改善?如果我们假设NP≠P或其他适当的复杂度陈述,那么对于各种NP完全问题的可能确切复杂度,我们能说什么?

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