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A new approach to address Subset Sum problem

机译:解决子集总和问题的新方法

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摘要

In this paper, Subset Sum problem (Non Polynomial Complete problem) and analysis of its two solutions is discussed. These solutions are the Dynamic Solution algorithm and the Randomized algorithm. Dynamic Solution is a sound and complete algorithm that can be used to determine satisfiability and unsatisfiability with certainty. Randomized Algorithm can determine satisfiablity as well as the solution if it finds a solution, but it cannot guarantee to find a solution even if there exists one. However, Randomized Algorithm is much faster than iterative algorithm and also finds the solution, which makes it more practical. In addition, analogy between these two algorithms and two other algorithms namely PL-Resolution and Walk-Sat algorithms for 3-CNF SAT problem, which is also NPC problem is discussed and the performance of Randomized Algorithm and WalkSAT Algorithm is acceptable if the problem is not so complex.
机译:本文讨论了子集和问题(非多项式完全问题)及其两个解决方案的分析。这些解决方案是动态解决方案算法和随机算法。动态解决方案是一种健全而完整的算法,可用于确定可满足性和不可满足性。随机算法可以在找到解的情况下确定满意度以及解,但是即使存在,也不能保证找到一个解。然而,随机算法比迭代算法要快得多,并且还能找到解决方案,这使其更实用。另外,将这两种算法与另外两种算法(即3-CNF SAT问题的PL-Resolution和Walk-Sat算法,也称为NPC问题)进行类比,如果问题出在以下方面,则可以接受Randomized Algorithm和WalkSAT算法的性能没那么复杂。

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