'Tape head' diaporamas de présentation

Turing Machines and Computability

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Turing Machines (TM)

Non-Recursively Enumerable Languages. Recursively Enumerable Languages. Recursive Languages. Context-Free Languages. Regular Languages. Turing Machines (TM). Generalize the class of CFLs:. Non-Recursively Enumerable Languages. Recursively Enumerable Languages. Recursive Languages.

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Basic Concepts and Formal Language theory

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Theory: Models of Computation

Readings: Chapter 11 & Chapter 3.6 of [SG] Content: What is a Model Model of Computation Model of a Computing Agent Model of an Algorithm TM Program Examples Computability (Church-Turing Thesis) Computational Complexity of Problems. Theory: Models of Computation.

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Turing Machines

Turing Machines. Zeph Grunschlag. Agenda. Turing Machines Alan Turing Motivation Church-Turing Thesis Definitions Computation TM Configuration Recognizers vs. Deciders. Alan Turing. Alan Turing was one of the founding fathers of CS.

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Turing Machine

Turing Machine. Turing machine.

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Theory of Automata By: Imran ul haq : 2424 Zeshan Ali: 2416 Ali Usman : 2436

Turing machines. Theory of Automata By: Imran ul haq : 2424 Zeshan Ali: 2416 Ali Usman : 2436 Sakhawat Ali: 2411 Mudassar Salfi : 2427 . Origin of Turing machines. Theory of Turing Machines first introduced by Alan Matheson Turing and Emil Post in 1930s and 1940s . .

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Regular Expressions & Automata

Regular Expressions & Automata. Nelson Padua-Perez Bill Pugh Department of Computer Science University of Maryland, College Park. Overview. Regular expressions Notation Patterns Java support Automata Languages Finite State Machines Turing Machines Computability.

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CS5371 Theory of Computation

CS5371 Theory of Computation. Lecture 10: Computability Theory I (Turing Machine). Objectives. Introduce the Turing Machine (TM) Proposed by Alan Turing in 1936 finite-state control + infinitely long tape A stronger computing device than the DFA or PDA. What is a TM?.

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PART III

PART III. Turing Machines and Effective Computability. PART III Chapter 1. Turing Machines. Turing machines. the most powerful automata (> FAs and PDAs ) invented by Turing in 1936 can compute any function normally considered computable Turing-Church Theses:

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PART III

PART III. Turing Machines and Effective Computability. PART III Chapter 1. Turing Machines. Turing machines. the most powerful automata (> FAs and PDAs ) invented by Turing in 1936 can compute any function normally considered computable Turing-Church Theses:

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CSE 105 Theory of Computation

CSE 105 Theory of Computation. Alexander Tsiatas Spring 2012. Theory of Computation Lecture Slides by Alexander Tsiatas is licensed under a Creative Commons Attribution- NonCommercial - ShareAlike 3.0 Unported License. Based on a work at http://peerinstruction4cs.org.

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CSCI 2670 Introduction to Theory of Computing

CSCI 2670 Introduction to Theory of Computing. October 4, 2005. Agenda. Last week Turing machines This week Sections 3.2 & 3.3 Variants of Turing machines and the definition of algorithm. Announcements. Homework due next Tuesday 3.7, 3.15 b & c, 3.16 d

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PART III

PART III. Turing Machines and Effective Computability. PART III Chapter 1. Turing Machines. Turing machines. the most powerful automata (> FAs and PDAs ) invented by Turing in 1936 can compute any function normally considered computable Turing-Church Theses:

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CSI 3104 /Winter 2006 : Introduction to Formal Languages Chapter 19: Turing Machines

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Computer Viruses Theory and Experiments

Computer Viruses Theory and Experiments By Dr. Frederick B. Cohen Presented by Jose Andre Morales Background Originally written in 1984 Published in Computers and Security, Vol. 6, pp. 22-35 Appeared in DOD/NBS 7 th Conference on Computer Security

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PART III

PART III. Turing Machines and Effective Computability. PART III Chapter 1. Turing Machines. Turing machines. the most powerful automata (> FAs and PDAs ) invented by Turing in 1936 can compute any function normally considered computable Turing-Church Theses:

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Computability and Complexity

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Computability and Complexity

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Multitape Turing Machines

Multitape Turing Machines. TM - Tape Head can Stay (TMS). Modify definition of transition function: ? : Q x ? ? Q x ? x {L, R, S } Claim 1: If L is the language of some TM M then ? TMS M S such that L = L( M S ) If M decides L then ? TMS M S that decides L

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