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[1]杜立智,陈和平,符海东.NP完全问题研究及前景剖析[J].武汉工程大学学报,2015,37(10):73-78.[doi:10. 3969/j. issn. 1674-2869. 2015. 10. 014]
 ,NP-complete problem and its future[J].Journal of Wuhan Institute of Technology,2015,37(10):73-78.[doi:10. 3969/j. issn. 1674-2869. 2015. 10. 014]
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《武汉工程大学学报》[ISSN:1674-2869/CN:42-1779/TQ]

卷:
37
期数:
2015年10期
页码:
73-78
栏目:
机电与信息工程
出版日期:
2015-10-31

文章信息/Info

Title:
NP-complete problem and its future
文章编号:
1674-2869(2015)10-0073-06
作者:
杜立智陈和平符海东
武汉科技大学计算机科学与技术学院,湖北 武汉 430065
Author(s):
DU Li-zhiCHEN He-pingFU Hai-dong
College of Computer Science and Technology, Wuhan University of Science and Technology, Wuhan 430065, China
关键词:
确定性图灵机非确定性图灵机NP完全问题
Keywords:
deterministic turing machinenondeterministic turing machineNP-complete problem
分类号:
TP3-0
DOI:
10. 3969/j. issn. 1674-2869. 2015. 10. 014
文献标志码:
A
摘要:
P vs. NP是理论计算机领域最重要的课题之一,而其中的核心是NP完全问题. 由于该问题所涉及的概念复杂抽象,对它们的理解存在不少谬误,许多已发表的研究论文都包含着这些谬误. 主要是:NP、NP完全概念理解谬误,确定性及非确定性图灵机的概念模糊不清,P与NP关系的误读,NP问题研究方向的误导等. 本文分析了这些谬误,并揭示了相关概念的实质. 通过不同角度多方位分析,对NP完全问题可能的解决途径和研究方向,提供了启发式思路.
Abstract:
P versus NP is one of the most important problems in theoretical computer science. Because the concepts about it are very abstract and complicated, some scholars and students in computer science often misunderstand them. A lot of published papers contain these misunderstandings. The main problems are: the defaults in understanding the concepts of NP and NPC, unclearly understanding the concepts of deterministic turing machine and non-deterministic turing machine, misreading the relationship of P and NP and misleading in the study direction of NP, etc. Of all these concepts, the core concept is the NP-complete problem. In this paper, we analyzed the misunderstandings. By deeply studying the definitions, we revealed their essence. Specially, by analyzing a lot of questions in different fields, we gave some heuristic strain of thoughts for the possible ways to solve the NP-complete problem and the possible directions to study it.

参考文献/References:

[1] ARORA S, BARAK B. Complexity Theory: A Modern Approach Cambridge University Press[M].Cambridge,2009[2] AARONSON S. Is P versus NP formally independent[J]. Bulletin of the European Association for Theoretical Computer Science,2003,81(10):109-136.[3] 杜丁柱,葛可一,王洁.计算复杂性导引[M].北京:高等教育出版社,2002:35-57.DU ing-zhu,Ge Keyi,Wang Jie.Introduction to Computing Complexity[M].Peking:High Education Press,2002:35-57.(in Chinese)[4] SARTAJ Sahni,Data Structures,Algorithms,and Applications in C++[M]. McGraw-Hill,1998. [5] COOK S A. The complexity of theorem proving procedures[M]. Proceedings of Third Annual ACM Symposium, New York: on Theory of Computing, Association for Computing Machinery,1971:151-158.[6] KARP R M. Reducibility among combinatorial problems[M]. Miller R E, Thatcher J W Plenum Press, Complexity of Computer Computations,New York:1972:85-104.[7] LANCE Fortnow. The Status of the P Versus NP Problem[J].Communications of the ACM,2010,52(9):78-86.[8] 朱丽君, 陈金芳. 大数据下中文期刊论文被引分析[J].武汉工程大学学报,2015,37(5):74-78. ZHU Li-jun,CHEN Jin-fang.Citation analysis on Chinese Periodicals Under big data[J]. Journal of Wuhan Institute of Technology,2015,37(5):74-78.(in Chinese) [9] 付 敏, 戴祖旭,王道蓬.压缩编码的上下文树构造算法[J].武汉工程大学学报,2015,37(4):51-55. Fu Min,Dai Zuxue,WANG Dao-peng. Context tree algorithm based on compression encoding[J]. Journal of Wuhan Institute of Technology,2015,37(4):51-55.(in Chinese)[10] 殷秀叶.大数据环境下的相似重复记录检测方法[J].武汉工程大学学报,2014,36(9):66-69. YIN Xiu ye.Method for detecting approximately duplicate database records in big data environment[J].Journal of Wuhan Institute of Technology,2014(9):66-69.(in Chinese)[11] POSA L. Hamiltonian circuits in random graphs[J]. Discrete Math,1976(14):359-364.

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备注/Memo

备注/Memo:
收稿日期:2015-08-17基金项目:湖北省自然科学基金项目(2014CFC1121)作者简介:杜立智(1964-),男,湖北黄冈人,副教授,硕士. 研究方向:计算机算法;计算数学;计算复杂性.
更新日期/Last Update: 2015-11-16