Some Results on Tape-Bounded Turing Machines

Author:

Hopcroft J. E.1,Ullman J. D.2

Affiliation:

1. Cornell University, Ithaca, New York and Bell Telephone Laboratories, Inc., Murray Hill, New Jersey

2. Bell Telephone Laboratories, Inc., Murray Hill, New Jersey

Abstract

Classes of tape-bounded Turing machines similar to the on-line and off-line Turing machines, but without the restrictions that each machine halt and be deterministic, are studied. It is shown that the lower bounds on tape complexity of [1] depend on neither the halting assumption nor determinism. The existence of a dense hierarchy of complexity classes likewise does not depend on the halting assumption, and it is shown that below log n tape complexity there exists a dense hierarchy of complexity classes for two-way nondeterministic devices. It is also shown that the complexity classes of one-way, nondeterministic machines below linear large complexity are not closed under complementation and are larger that the corresponding deterministic complexity class.

Publisher

Association for Computing Machinery (ACM)

Subject

Artificial Intelligence,Hardware and Architecture,Information Systems,Control and Systems Engineering,Software

Reference3 articles.

1. Memory bounds for the recognition of context free and context sensitive languages;LEWIS P. M.;Ibid.,1965

2. Finite Automata and Their Decision Problems

Cited by 78 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Uniquely human intelligence arose from expanded information capacity;Nature Reviews Psychology;2024-04-02

2. Push Complexity: Optimal Bounds and Unary Inputs;Lecture Notes in Computer Science;2024

3. Deciding Knowledge Problems Modulo Classes of Permutative Theories;Lecture Notes in Computer Science;2024

4. Two-Way Non-Uniform Finite Automata;International Journal of Foundations of Computer Science;2022-12-12

5. Minimal Size of Counters for (Real-Time) Multicounter Automata;Fundamenta Informaticae;2021-08-04

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3