Dynamic Programming for the Subset Sum Problem

IF 1 Q1 MATHEMATICS Formalized Mathematics Pub Date : 2020-04-01 DOI:10.2478/forma-2020-0007
H. Fujiwara, Hokuto Watari, Hiroaki Yamamoto
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引用次数: 1

Abstract

Summary The subset sum problem is a basic problem in the field of theoretical computer science, especially in the complexity theory [3]. The input is a sequence of positive integers and a target positive integer. The task is to determine if there exists a subsequence of the input sequence with sum equal to the target integer. It is known that the problem is NP-hard [2] and can be solved by dynamic programming in pseudo-polynomial time [1]. In this article we formalize the recurrence relation of the dynamic programming.
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子集和问题的动态规划
子集和问题是理论计算机科学领域,特别是复杂性理论中的一个基本问题[3]。输入是一个正整数序列和一个目标正整数。任务是确定输入序列是否存在求和等于目标整数的子序列。已知该问题为NP-hard[2],可在伪多项式时间内通过动态规划求解[1]。本文形式化了动态规划的递归关系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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Formalized Mathematics
Formalized Mathematics MATHEMATICS-
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期刊介绍: Formalized Mathematics is to be issued quarterly and publishes papers which are abstracts of Mizar articles contributed to the Mizar Mathematical Library (MML) - the basis of a knowledge management system for mathematics.
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