Push-down Automata = FA + Stack

Size: px
Start display at page:

Download "Push-down Automata = FA + Stack"

Transcription

1 Push-down Automata = FA + Stack

2 PDA Definition A push-down automaton M is a tuple M = (Q,, Γ, δ, q0, F) where Q is a finite set of states is the input alphabet (of terminal symbols, terminals) Γ is the stack alphabet δ: Q x ε x Γ ε P(Q x Γ ε ) is the transition function q0 is the initial state, q0 Q F is a set of final states, F Q

3 PDA intrinsically nondeterministic Definition A push-down automaton M is a tuple M = (Q,, Γ, δ, q0, F) where Q is a finite set of states is the input alphabet (of terminal symbols, terminals) Γ is the stack alphabet δ: Q x ε x Γ ε P(Q x Γ ε ) is the transition function q0 is the initial state, q0 Q F is a set of final states, F Q

4 PDA intrinsically nondeterministic Definition A push-down automaton M is a tuple M = (Q,, Γ, δ, q0, F) where Q is a finite set of states is the input alphabet (of terminal symbols, terminals) Γ is the stack alphabet δ: Q x ε x Γ ε P(Q x Γ ε ) is the transition function q0 is the initial state, q0 Q F is a set of final states, F Q (r,c) δ(q,a,b) means that in a state q, reading input symbol a and popping b from the stack, the PDA may change to state r and push c on the stack

5 PDA Compute via configurations

6 PDA Compute via configurations Given M = (Q,, Γ, δ, q0, F) a configuration of M is an element in Q x * x Γ * an initial configuration is (q0, w, ε).

7 PDA Compute via configurations Given M = (Q,, Γ, δ, q0, F) a configuration of M is an element in Q x * x Γ * an initial configuration is (q0, w, ε). (q,w,u) (r,w1, u1) if and only if w = aw1, u = bu2, and u1 = cu2

8 PDA Compute via configurations Given M = (Q,, Γ, δ, q0, F) a configuration of M is an element in Q x * x Γ * one-step computation an initial configuration is (q0, w, ε). (q,w,u) (r,w1, u1) if and only if w = aw1, u = bu2, and u1 = cu2

9 PDA Compute via configurations Given M = (Q,, Γ, δ, q0, F) a configuration of M is an element in Q x * x Γ * one-step computation an initial configuration is (q0, w, ε). (q,w,u) (r,w1, u1) if and only if w = aw1, u = bu2, and u1 = cu2 Definition The language recognised / accepted by a push-down automaton M = (Q,, Γ, δ, q0, F) is L(M) = {w * (q0, w, ε) * (f, ε, ε) for some f F}

10 PDA Compute via configurations Given M = (Q,, Γ, δ, q0, F) a configuration of M is an element in Q x * x Γ * one-step computation an initial configuration is (q0, w, ε). (q,w,u) (r,w1, u1) if and only if w = aw1, u = bu2, and u1 = cu2 Definition zero-or-more-steps computation The language recognised / accepted by a push-down automaton M = (Q,, Γ, δ, q0, F) is L(M) = {w * (q0, w, ε) * (f, ε, ε) for some f F}

11 PDA vs. CFG Theorem PDA-CFG A language is context-free if and only if it is recognised by a push-down automaton.

12 PDA vs. CFG Theorem PDA-CFG A language is context-free if and only if it is recognised by a push-down automaton. context-free languages generated by CFG recognized by PDA regular languages recognised by FA generated by regular grammars

13 DPDA Definitions

14 DPDA Definitions Two words u, v * are consistent if none is a prefix of the other. Two PDA transitions ((q,a,b),(r,c)) and ((p,d,e),(s,g)) are compatible if a and d, as well as b and e are inconsistent. A PDA M is deterministic if no two different transitions are compatible.

15 DPDA Definitions (r,c) δ(q,a,b) Two words u, v * are consistent if none is a prefix of the other. Two PDA transitions ((q,a,b),(r,c)) and ((p,d,e),(s,g)) are compatible if a and d, as well as b and e are inconsistent. A PDA M is deterministic if no two different transitions are compatible.

16 DPDA Definitions (r,c) δ(q,a,b) Two words u, v * are consistent if none is a prefix of the other. Two PDA transitions ((q,a,b),(r,c)) and ((p,d,e),(s,g)) are compatible if a and d, as well as b and e are inconsistent. A PDA M is deterministic if no two different transitions are can compatible. fire the same time

17 DPDA Definitions (r,c) δ(q,a,b) Two words u, v * are consistent if none is a prefix of the other. Two PDA transitions ((q,a,b),(r,c)) and ((p,d,e),(s,g)) are compatible if a and d, as well as b and e are inconsistent. A PDA M is deterministic if no two different transitions are can compatible. fire the same time Definition A language L is a deterministic context-free language if there exists a DPDA M that recognises L$ = {w$ w L} We say then that M recognises L and write L = L(M).

18 DPDA Definitions (r,c) δ(q,a,b) Two words u, v * are consistent if none is a prefix of the other. Two PDA transitions ((q,a,b),(r,c)) and ((p,d,e),(s,g)) are compatible if a and d, as well as b and e are inconsistent. A PDA M is deterministic if no two different transitions are can compatible. fire the same time Definition A language L is a deterministic context-free language if there exists a DPDA M that recognises L$ = {w$ w L} We say then that M recognises L and write L = L(M). $ is a fresh symbol, not in

Pushdown Automata (Pre Lecture)

Pushdown Automata (Pre Lecture) Pushdown Automata (Pre Lecture) Dr. Neil T. Dantam CSCI-561, Colorado School of Mines Fall 2017 Dantam (Mines CSCI-561) Pushdown Automata (Pre Lecture) Fall 2017 1 / 41 Outline Pushdown Automata Pushdown

More information

CPS 220 Theory of Computation Pushdown Automata (PDA)

CPS 220 Theory of Computation Pushdown Automata (PDA) CPS 220 Theory of Computation Pushdown Automata (PDA) Nondeterministic Finite Automaton with some extra memory Memory is called the stack, accessed in a very restricted way: in a First-In First-Out fashion

More information

Theory of Computation (IV) Yijia Chen Fudan University

Theory of Computation (IV) Yijia Chen Fudan University Theory of Computation (IV) Yijia Chen Fudan University Review language regular context-free machine DFA/ NFA PDA syntax regular expression context-free grammar Pushdown automata Definition A pushdown automaton

More information

Einführung in die Computerlinguistik

Einführung in die Computerlinguistik Einführung in die Computerlinguistik Context-Free Grammars (CFG) Laura Kallmeyer Heinrich-Heine-Universität Düsseldorf Summer 2016 1 / 22 CFG (1) Example: Grammar G telescope : Productions: S NP VP NP

More information

Pushdown Automata (2015/11/23)

Pushdown Automata (2015/11/23) Chapter 6 Pushdown Automata (2015/11/23) Sagrada Familia, Barcelona, Spain Outline 6.0 Introduction 6.1 Definition of PDA 6.2 The Language of a PDA 6.3 Euivalence of PDA s and CFG s 6.4 Deterministic PDA

More information

Outline. CS21 Decidability and Tractability. Machine view of FA. Machine view of FA. Machine view of FA. Machine view of FA.

Outline. CS21 Decidability and Tractability. Machine view of FA. Machine view of FA. Machine view of FA. Machine view of FA. Outline CS21 Decidability and Tractability Lecture 5 January 16, 219 and Languages equivalence of NPDAs and CFGs non context-free languages January 16, 219 CS21 Lecture 5 1 January 16, 219 CS21 Lecture

More information

CS Pushdown Automata

CS Pushdown Automata Chap. 6 Pushdown Automata 6.1 Definition of Pushdown Automata Example 6.2 L ww R = {ww R w (0+1) * } Palindromes over {0, 1}. A cfg P 0 1 0P0 1P1. Consider a FA with a stack(= a Pushdown automaton; PDA).

More information

1. Draw a parse tree for the following derivation: S C A C C A b b b b A b b b b B b b b b a A a a b b b b a b a a b b 2. Show on your parse tree u,

1. Draw a parse tree for the following derivation: S C A C C A b b b b A b b b b B b b b b a A a a b b b b a b a a b b 2. Show on your parse tree u, 1. Draw a parse tree for the following derivation: S C A C C A b b b b A b b b b B b b b b a A a a b b b b a b a a b b 2. Show on your parse tree u, v, x, y, z as per the pumping theorem. 3. Prove that

More information

Context-Free Languages

Context-Free Languages CS:4330 Theory of Computation Spring 2018 Context-Free Languages Pushdown Automata Haniel Barbosa Readings for this lecture Chapter 2 of [Sipser 1996], 3rd edition. Section 2.2. Finite automaton 1 / 13

More information

CSE 105 THEORY OF COMPUTATION

CSE 105 THEORY OF COMPUTATION CSE 105 THEORY OF COMPUTATION Spring 2016 http://cseweb.ucsd.edu/classes/sp16/cse105-ab/ Today's learning goals Sipser Ch 2 Define push down automata Trace the computation of a push down automaton Design

More information

Pushdown Automata. Notes on Automata and Theory of Computation. Chia-Ping Chen

Pushdown Automata. Notes on Automata and Theory of Computation. Chia-Ping Chen Pushdown Automata Notes on Automata and Theory of Computation Chia-Ping Chen Department of Computer Science and Engineering National Sun Yat-Sen University Kaohsiung, Taiwan ROC Pushdown Automata p. 1

More information

The Pumping Lemma. for all n 0, u 1 v n u 2 L (i.e. u 1 u 2 L, u 1 vu 2 L [but we knew that anyway], u 1 vvu 2 L, u 1 vvvu 2 L, etc.

The Pumping Lemma. for all n 0, u 1 v n u 2 L (i.e. u 1 u 2 L, u 1 vu 2 L [but we knew that anyway], u 1 vvu 2 L, u 1 vvvu 2 L, etc. The Pumping Lemma For every regular language L, there is a number l 1 satisfying the pumping lemma property: All w L with w l can be expressed as a concatenation of three strings, w = u 1 vu 2, where u

More information

Definition: A grammar G = (V, T, P,S) is a context free grammar (cfg) if all productions in P have the form A x where

Definition: A grammar G = (V, T, P,S) is a context free grammar (cfg) if all productions in P have the form A x where Recitation 11 Notes Context Free Grammars Definition: A grammar G = (V, T, P,S) is a context free grammar (cfg) if all productions in P have the form A x A V, and x (V T)*. Examples Problem 1. Given the

More information

SCHEME FOR INTERNAL ASSESSMENT TEST 3

SCHEME FOR INTERNAL ASSESSMENT TEST 3 SCHEME FOR INTERNAL ASSESSMENT TEST 3 Max Marks: 40 Subject& Code: Automata Theory & Computability (15CS54) Sem: V ISE (A & B) Note: Answer any FIVE full questions, choosing one full question from each

More information

Harvard CS 121 and CSCI E-207 Lecture 10: Ambiguity, Pushdown Automata

Harvard CS 121 and CSCI E-207 Lecture 10: Ambiguity, Pushdown Automata Harvard CS 121 and CSCI E-207 Lecture 10: Ambiguity, Pushdown Automata Salil Vadhan October 4, 2012 Reading: Sipser, 2.2. Another example of a CFG (with proof) L = {x {a, b} : x has the same # of a s and

More information

Accept or reject. Stack

Accept or reject. Stack Pushdown Automata CS351 Just as a DFA was equivalent to a regular expression, we have a similar analogy for the context-free grammar. A pushdown automata (PDA) is equivalent in power to contextfree grammars.

More information

(pp ) PDAs and CFGs (Sec. 2.2)

(pp ) PDAs and CFGs (Sec. 2.2) (pp. 117-124) PDAs and CFGs (Sec. 2.2) A language is context free iff all strings in L can be generated by some context free grammar Theorem 2.20: L is Context Free iff a PDA accepts it I.e. if L is context

More information

Pushdown Automata. Chapter 12

Pushdown Automata. Chapter 12 Pushdown Automata Chapter 12 Recognizing Context-Free Languages We need a device similar to an FSM except that it needs more power. The insight: Precisely what it needs is a stack, which gives it an unlimited

More information

CFGs and PDAs are Equivalent. We provide algorithms to convert a CFG to a PDA and vice versa.

CFGs and PDAs are Equivalent. We provide algorithms to convert a CFG to a PDA and vice versa. CFGs and PDAs are Equivalent We provide algorithms to convert a CFG to a PDA and vice versa. CFGs and PDAs are Equivalent We now prove that a language is generated by some CFG if and only if it is accepted

More information

Introduction to Formal Languages, Automata and Computability p.1/42

Introduction to Formal Languages, Automata and Computability p.1/42 Introduction to Formal Languages, Automata and Computability Pushdown Automata K. Krithivasan and R. Rama Introduction to Formal Languages, Automata and Computability p.1/42 Introduction We have considered

More information

CSE 105 THEORY OF COMPUTATION

CSE 105 THEORY OF COMPUTATION CSE 105 THEORY OF COMPUTATION Spring 2017 http://cseweb.ucsd.edu/classes/sp17/cse105-ab/ Review of CFG, CFL, ambiguity What is the language generated by the CFG below: G 1 = ({S,T 1,T 2 }, {0,1,2}, { S

More information

(pp ) PDAs and CFGs (Sec. 2.2)

(pp ) PDAs and CFGs (Sec. 2.2) (pp. 117-124) PDAs and CFGs (Sec. 2.2) A language is context free iff all strings in L can be generated by some context free grammar Theorem 2.20: L is Context Free iff a PDA accepts it I.e. if L is context

More information

Pushdown Automata: Introduction (2)

Pushdown Automata: Introduction (2) Pushdown Automata: Introduction Pushdown automaton (PDA) M = (K, Σ, Γ,, s, A) where K is a set of states Σ is an input alphabet Γ is a set of stack symbols s K is the start state A K is a set of accepting

More information

60-354, Theory of Computation Fall Asish Mukhopadhyay School of Computer Science University of Windsor

60-354, Theory of Computation Fall Asish Mukhopadhyay School of Computer Science University of Windsor 60-354, Theory of Computation Fall 2013 Asish Mukhopadhyay School of Computer Science University of Windsor Pushdown Automata (PDA) PDA = ε-nfa + stack Acceptance ε-nfa enters a final state or Stack is

More information

Pushdown automata. Twan van Laarhoven. Institute for Computing and Information Sciences Intelligent Systems Radboud University Nijmegen

Pushdown automata. Twan van Laarhoven. Institute for Computing and Information Sciences Intelligent Systems Radboud University Nijmegen Pushdown automata Twan van Laarhoven Institute for Computing and Information Sciences Intelligent Systems Version: fall 2014 T. van Laarhoven Version: fall 2014 Formal Languages, Grammars and Automata

More information

FORMAL LANGUAGES, AUTOMATA AND COMPUTABILITY

FORMAL LANGUAGES, AUTOMATA AND COMPUTABILITY 15-453 FORMAL LANGUAGES, AUTOMATA AND COMPUTABILITY REVIEW for MIDTERM 1 THURSDAY Feb 6 Midterm 1 will cover everything we have seen so far The PROBLEMS will be from Sipser, Chapters 1, 2, 3 It will be

More information

Intro to Theory of Computation

Intro to Theory of Computation Intro to Theory of Computation LECTURE 7 Last time: Proving a language is not regular Pushdown automata (PDAs) Today: Context-free grammars (CFG) Equivalence of CFGs and PDAs Sofya Raskhodnikova 1/31/2016

More information

C6.2 Push-Down Automata

C6.2 Push-Down Automata Theory of Computer Science April 5, 2017 C6. Context-free Languages: Push-down Automata Theory of Computer Science C6. Context-free Languages: Push-down Automata Malte Helmert University of Basel April

More information

Fundamentele Informatica II

Fundamentele Informatica II Fundamentele Informatica II Answer to selected exercises 5 John C Martin: Introduction to Languages and the Theory of Computation M.M. Bonsangue (and J. Kleijn) Fall 2011 5.1.a (q 0, ab, Z 0 ) (q 1, b,

More information

Foundations of Informatics: a Bridging Course

Foundations of Informatics: a Bridging Course Foundations of Informatics: a Bridging Course Week 3: Formal Languages and Semantics Thomas Noll Lehrstuhl für Informatik 2 RWTH Aachen University noll@cs.rwth-aachen.de http://www.b-it-center.de/wob/en/view/class211_id948.html

More information

C2.1 Regular Grammars

C2.1 Regular Grammars Theory of Computer Science March 22, 27 C2. Regular Languages: Finite Automata Theory of Computer Science C2. Regular Languages: Finite Automata Malte Helmert University of Basel March 22, 27 C2. Regular

More information

C2.1 Regular Grammars

C2.1 Regular Grammars Theory of Computer Science March 6, 26 C2. Regular Languages: Finite Automata Theory of Computer Science C2. Regular Languages: Finite Automata Malte Helmert University of Basel March 6, 26 C2. Regular

More information

Pushdown Automata. We have seen examples of context-free languages that are not regular, and hence can not be recognized by finite automata.

Pushdown Automata. We have seen examples of context-free languages that are not regular, and hence can not be recognized by finite automata. Pushdown Automata We have seen examples of context-free languages that are not regular, and hence can not be recognized by finite automata. Next we consider a more powerful computation model, called a

More information

UNIT-VI PUSHDOWN AUTOMATA

UNIT-VI PUSHDOWN AUTOMATA Syllabus R09 Regulation UNIT-VI PUSHDOWN AUTOMATA The context free languages have a type of automaton that defined them. This automaton, called a pushdown automaton, is an extension of the nondeterministic

More information

Harvard CS 121 and CSCI E-207 Lecture 10: CFLs: PDAs, Closure Properties, and Non-CFLs

Harvard CS 121 and CSCI E-207 Lecture 10: CFLs: PDAs, Closure Properties, and Non-CFLs Harvard CS 121 and CSCI E-207 Lecture 10: CFLs: PDAs, Closure Properties, and Non-CFLs Harry Lewis October 8, 2013 Reading: Sipser, pp. 119-128. Pushdown Automata (review) Pushdown Automata = Finite automaton

More information

Homework. Context Free Languages. Announcements. Before We Start. Languages. Plan for today. Final Exam Dates have been announced.

Homework. Context Free Languages. Announcements. Before We Start. Languages. Plan for today. Final Exam Dates have been announced. Homework Context Free Languages PDAs and CFLs Homework #3 returned Homework #4 due today Homework #5 Pg 169 -- Exercise 4 Pg 183 -- Exercise 4c,e,i (use JFLAP) Pg 184 -- Exercise 10 Pg 184 -- Exercise

More information

CS 455/555: Finite automata

CS 455/555: Finite automata CS 455/555: Finite automata Stefan D. Bruda Winter 2019 AUTOMATA (FINITE OR NOT) Generally any automaton Has a finite-state control Scans the input one symbol at a time Takes an action based on the currently

More information

Theory of Computation (I) Yijia Chen Fudan University

Theory of Computation (I) Yijia Chen Fudan University Theory of Computation (I) Yijia Chen Fudan University Instructor Yijia Chen Homepage: http://basics.sjtu.edu.cn/~chen Email: yijiachen@fudan.edu.cn Textbook Introduction to the Theory of Computation Michael

More information

Theory of Computation Turing Machine and Pushdown Automata

Theory of Computation Turing Machine and Pushdown Automata Theory of Computation Turing Machine and Pushdown Automata 1. What is a Turing Machine? A Turing Machine is an accepting device which accepts the languages (recursively enumerable set) generated by type

More information

PUSHDOWN AUTOMATA (PDA)

PUSHDOWN AUTOMATA (PDA) PUSHDOWN AUTOMATA (PDA) FINITE STATE CONTROL INPUT STACK (Last in, first out) input pop push ε,ε $ 0,ε 0 1,0 ε ε,$ ε 1,0 ε PDA that recognizes L = { 0 n 1 n n 0 } Definition: A (non-deterministic) PDA

More information

October 6, Equivalence of Pushdown Automata with Context-Free Gramm

October 6, Equivalence of Pushdown Automata with Context-Free Gramm Equivalence of Pushdown Automata with Context-Free Grammar October 6, 2013 Motivation Motivation CFG and PDA are equivalent in power: a CFG generates a context-free language and a PDA recognizes a context-free

More information

CISC4090: Theory of Computation

CISC4090: Theory of Computation CISC4090: Theory of Computation Chapter 2 Context-Free Languages Courtesy of Prof. Arthur G. Werschulz Fordham University Department of Computer and Information Sciences Spring, 2014 Overview In Chapter

More information

Inf2A: Converting from NFAs to DFAs and Closure Properties

Inf2A: Converting from NFAs to DFAs and Closure Properties 1/43 Inf2A: Converting from NFAs to DFAs and Stuart Anderson School of Informatics University of Edinburgh October 13, 2009 Starter Questions 2/43 1 Can you devise a way of testing for any FSM M whether

More information

Classes and conversions

Classes and conversions Classes and conversions Regular expressions Syntax: r = ε a r r r + r r Semantics: The language L r of a regular expression r is inductively defined as follows: L =, L ε = {ε}, L a = a L r r = L r L r

More information

Pushdown Automata (PDA) The structure and the content of the lecture is based on

Pushdown Automata (PDA) The structure and the content of the lecture is based on Pushdown Automata (PDA) The structure and the content of the lecture is based on http://www.eecs.wsu.edu/~ananth/cpts317/lectures/index.htm 1 Excursion: Previous lecture n Context-free grammar G=(V,T,P,S),

More information

Equivalence of CFG s and PDA s

Equivalence of CFG s and PDA s Equivalence of CFG s and PDA s Mridul Aanjaneya Stanford University July 24, 2012 Mridul Aanjaneya Automata Theory 1/ 53 Recap: Pushdown Automata A PDA is an automaton equivalent to the CFG in language-defining

More information

COM364 Automata Theory Lecture Note 2 - Nondeterminism

COM364 Automata Theory Lecture Note 2 - Nondeterminism COM364 Automata Theory Lecture Note 2 - Nondeterminism Kurtuluş Küllü March 2018 The FA we saw until now were deterministic FA (DFA) in the sense that for each state and input symbol there was exactly

More information

5 Context-Free Languages

5 Context-Free Languages CA320: COMPUTABILITY AND COMPLEXITY 1 5 Context-Free Languages 5.1 Context-Free Grammars Context-Free Grammars Context-free languages are specified with a context-free grammar (CFG). Formally, a CFG G

More information

Lecture 17: Language Recognition

Lecture 17: Language Recognition Lecture 17: Language Recognition Finite State Automata Deterministic and Non-Deterministic Finite Automata Regular Expressions Push-Down Automata Turing Machines Modeling Computation When attempting to

More information

input tape head moves current state a a

input tape head moves current state a a CPS 140 - Mathematical Foundations of CS Dr. S. Rodger Section: Pushdown Automata (Ch. 3.3-3.4) (handout) Pushdown Automata ADFA=(K,,,q 0,F) input tape a a b b a b tape head head moves current state 0

More information

Theory of Computation (VI) Yijia Chen Fudan University

Theory of Computation (VI) Yijia Chen Fudan University Theory of Computation (VI) Yijia Chen Fudan University Review Forced handles Definition A handle h of a valid string v = xhy is a forced handle if h is the unique handle in every valid string xhŷ where

More information

Computational Models - Lecture 5 1

Computational Models - Lecture 5 1 Computational Models - Lecture 5 1 Handout Mode Iftach Haitner and Yishay Mansour. Tel Aviv University. April 10/22, 2013 1 Based on frames by Benny Chor, Tel Aviv University, modifying frames by Maurice

More information

Rumination on the Formal Definition of DPDA

Rumination on the Formal Definition of DPDA Rumination on the Formal Definition of DPDA In the definition of DPDA, there are some parts that do not agree with our intuition. Let M = (Q, Σ, Γ, δ, q 0, Z 0, F ) be a DPDA. According to the definition,

More information

CISC 4090 Theory of Computation

CISC 4090 Theory of Computation 9/2/28 Stereotypical computer CISC 49 Theory of Computation Finite state machines & Regular languages Professor Daniel Leeds dleeds@fordham.edu JMH 332 Central processing unit (CPU) performs all the instructions

More information

Pushdown Automata. Pushdown Automata. Pushdown Automata. Pushdown Automata. Pushdown Automata. Pushdown Automata. The stack

Pushdown Automata. Pushdown Automata. Pushdown Automata. Pushdown Automata. Pushdown Automata. Pushdown Automata. The stack A pushdown automata (PDA) is essentially: An NFA with a stack A move of a PDA will depend upon Current state of the machine Current symbol being read in Current symbol popped off the top of the stack With

More information

CS 154, Lecture 2: Finite Automata, Closure Properties Nondeterminism,

CS 154, Lecture 2: Finite Automata, Closure Properties Nondeterminism, CS 54, Lecture 2: Finite Automata, Closure Properties Nondeterminism, Why so Many Models? Streaming Algorithms 0 42 Deterministic Finite Automata Anatomy of Deterministic Finite Automata transition: for

More information

Introduction to the Theory of Computation. Automata 1VO + 1PS. Lecturer: Dr. Ana Sokolova.

Introduction to the Theory of Computation. Automata 1VO + 1PS. Lecturer: Dr. Ana Sokolova. Introduction to the Theory of Computation Automata 1VO + 1PS Lecturer: Dr. Ana Sokolova http://cs.uni-salzburg.at/~anas/ Setup and Dates Lectures and Instructions 23.10. 3.11. 17.11. 24.11. 1.12. 11.12.

More information

Finite Automata. Seungjin Choi

Finite Automata. Seungjin Choi Finite Automata Seungjin Choi Department of Computer Science and Engineering Pohang University of Science and Technology 77 Cheongam-ro, Nam-gu, Pohang 37673, Korea seungjin@postech.ac.kr 1 / 28 Outline

More information

DM17. Beregnelighed. Jacob Aae Mikkelsen

DM17. Beregnelighed. Jacob Aae Mikkelsen DM17 Beregnelighed Jacob Aae Mikkelsen January 12, 2007 CONTENTS Contents 1 Introduction 2 1.1 Operations with languages...................... 2 2 Finite Automata 3 2.1 Regular expressions/languages....................

More information

CS481F01 Prelim 2 Solutions

CS481F01 Prelim 2 Solutions CS481F01 Prelim 2 Solutions A. Demers 7 Nov 2001 1 (30 pts = 4 pts each part + 2 free points). For this question we use the following notation: x y means x is a prefix of y m k n means m n k For each of

More information

HKN CS/ECE 374 Midterm 1 Review. Nathan Bleier and Mahir Morshed

HKN CS/ECE 374 Midterm 1 Review. Nathan Bleier and Mahir Morshed HKN CS/ECE 374 Midterm 1 Review Nathan Bleier and Mahir Morshed For the most part, all about strings! String induction (to some extent) Regular languages Regular expressions (regexps) Deterministic finite

More information

CPS 220 Theory of Computation

CPS 220 Theory of Computation CPS 22 Theory of Computation Review - Regular Languages RL - a simple class of languages that can be represented in two ways: 1 Machine description: Finite Automata are machines with a finite number of

More information

MA/CSSE 474 Theory of Computation

MA/CSSE 474 Theory of Computation MA/CSSE 474 Theory of Computation CFL Hierarchy CFL Decision Problems Your Questions? Previous class days' material Reading Assignments HW 12 or 13 problems Anything else I have included some slides online

More information

ECS 120: Theory of Computation UC Davis Phillip Rogaway February 16, Midterm Exam

ECS 120: Theory of Computation UC Davis Phillip Rogaway February 16, Midterm Exam ECS 120: Theory of Computation Handout MT UC Davis Phillip Rogaway February 16, 2012 Midterm Exam Instructions: The exam has six pages, including this cover page, printed out two-sided (no more wasted

More information

THEORY OF COMPUTATION (AUBER) EXAM CRIB SHEET

THEORY OF COMPUTATION (AUBER) EXAM CRIB SHEET THEORY OF COMPUTATION (AUBER) EXAM CRIB SHEET Regular Languages and FA A language is a set of strings over a finite alphabet Σ. All languages are finite or countably infinite. The set of all languages

More information

MTH401A Theory of Computation. Lecture 17

MTH401A Theory of Computation. Lecture 17 MTH401A Theory of Computation Lecture 17 Chomsky Normal Form for CFG s Chomsky Normal Form for CFG s For every context free language, L, the language L {ε} has a grammar in which every production looks

More information

Introduction to the Theory of Computation. Automata 1VO + 1PS. Lecturer: Dr. Ana Sokolova.

Introduction to the Theory of Computation. Automata 1VO + 1PS. Lecturer: Dr. Ana Sokolova. Introduction to the Theory of Computation Automata 1VO + 1PS Lecturer: Dr. Ana Sokolova http://cs.uni-salzburg.at/~anas/ Setup and Dates Lectures Tuesday 10:45 pm - 12:15 pm Instructions Tuesday 12:30

More information

Nondeterministic Finite Automata

Nondeterministic Finite Automata Nondeterministic Finite Automata Not A DFA Does not have exactly one transition from every state on every symbol: Two transitions from q 0 on a No transition from q 1 (on either a or b) Though not a DFA,

More information

Pushdown Automata. Reading: Chapter 6

Pushdown Automata. Reading: Chapter 6 Pushdown Automata Reading: Chapter 6 1 Pushdown Automata (PDA) Informally: A PDA is an NFA-ε with a infinite stack. Transitions are modified to accommodate stack operations. Questions: What is a stack?

More information

Part 4 out of 5 DFA NFA REX. Automata & languages. A primer on the Theory of Computation. Last week, we showed the equivalence of DFA, NFA and REX

Part 4 out of 5 DFA NFA REX. Automata & languages. A primer on the Theory of Computation. Last week, we showed the equivalence of DFA, NFA and REX Automata & languages A primer on the Theory of Computation Laurent Vanbever www.vanbever.eu Part 4 out of 5 ETH Zürich (D-ITET) October, 12 2017 Last week, we showed the equivalence of DFA, NFA and REX

More information

CS311 Computational Structures More about PDAs & Context-Free Languages. Lecture 9. Andrew P. Black Andrew Tolmach

CS311 Computational Structures More about PDAs & Context-Free Languages. Lecture 9. Andrew P. Black Andrew Tolmach CS311 Computational Structures More about PDAs & Context-Free Languages Lecture 9 Andrew P. Black Andrew Tolmach 1 Three important results 1. Any CFG can be simulated by a PDA 2. Any PDA can be simulated

More information

Part I: Definitions and Properties

Part I: Definitions and Properties Turing Machines Part I: Definitions and Properties Finite State Automata Deterministic Automata (DFSA) M = {Q, Σ, δ, q 0, F} -- Σ = Symbols -- Q = States -- q 0 = Initial State -- F = Accepting States

More information

Everything You Always Wanted to Know About Parsing

Everything You Always Wanted to Know About Parsing Everything You Always Wanted to Know About Parsing Part V : LR Parsing University of Padua, Italy ESSLLI, August 2013 Introduction Parsing strategies classified by the time the associated PDA commits to

More information

Nondeterministic Finite Automata

Nondeterministic Finite Automata Nondeterministic Finite Automata Lecture 6 Section 2.2 Robb T. Koether Hampden-Sydney College Mon, Sep 5, 2016 Robb T. Koether (Hampden-Sydney College) Nondeterministic Finite Automata Mon, Sep 5, 2016

More information

Computability and Complexity

Computability and Complexity Computability and Complexity Push-Down Automata CAS 705 Ryszard Janicki Department of Computing and Software McMaster University Hamilton, Ontario, Canada janicki@mcmaster.ca Ryszard Janicki Computability

More information

Computational Models: Class 5

Computational Models: Class 5 Computational Models: Class 5 Benny Chor School of Computer Science Tel Aviv University March 27, 2019 Based on slides by Maurice Herlihy, Brown University, and modifications by Iftach Haitner and Yishay

More information

Everything You Always Wanted to Know About Parsing

Everything You Always Wanted to Know About Parsing Everything You Always Wanted to Know About Parsing Part IV : Parsing University of Padua, Italy ESSLLI, August 2013 Introduction First published in 1968 by Jay in his PhD dissertation, Carnegie Mellon

More information

TAFL 1 (ECS-403) Unit- IV. 4.1 Push Down Automata. 4.2 The Formal Definition of Pushdown Automata. EXAMPLES for PDA. 4.3 The languages of PDA

TAFL 1 (ECS-403) Unit- IV. 4.1 Push Down Automata. 4.2 The Formal Definition of Pushdown Automata. EXAMPLES for PDA. 4.3 The languages of PDA TAFL 1 (ECS-403) Unit- IV 4.1 Push Down Automata 4.2 The Formal Definition of Pushdown Automata EXAMPLES for PDA 4.3 The languages of PDA 4.3.1 Acceptance by final state 4.3.2 Acceptance by empty stack

More information

Please give details of your answer. A direct answer without explanation is not counted.

Please give details of your answer. A direct answer without explanation is not counted. Please give details of your answer. A direct answer without explanation is not counted. Your answers must be in English. Please carefully read problem statements. During the exam you are not allowed to

More information

CS375: Logic and Theory of Computing

CS375: Logic and Theory of Computing CS375: Logic and Theory of Computing Fuhua (Frank) Cheng Department of Computer Science University of Kentucky 1 Tale of Contents: Week 1: Preliminaries (set alger relations, functions) (read Chapters

More information

Theory of Computation

Theory of Computation Fall 2002 (YEN) Theory of Computation Midterm Exam. Name:... I.D.#:... 1. (30 pts) True or false (mark O for true ; X for false ). (Score=Max{0, Right- 1 2 Wrong}.) (1) X... If L 1 is regular and L 2 L

More information

Theory of Languages and Automata

Theory of Languages and Automata Theory of Languages and Automata Chapter 1- Regular Languages & Finite State Automaton Sharif University of Technology Finite State Automaton We begin with the simplest model of Computation, called finite

More information

Automata Theory (2A) Young Won Lim 5/31/18

Automata Theory (2A) Young Won Lim 5/31/18 Automata Theory (2A) Copyright (c) 2018 Young W. Lim. Permission is granted to copy, distribute and/or modify this document under the terms of the GNU Free Documentation License, Version 1.2 or any later

More information

Section: Pushdown Automata

Section: Pushdown Automata Section: Pushdown Automata Ch. 7 - Pushdown Automata ADFA=(Q,Σ,δ,q 0,F) input tape a a b b a b tape head head moves current state 0 1 1 Modify DFA by adding a stack. New machine is called Pushdown Automata

More information

Automata Theory - Quiz II (Solutions)

Automata Theory - Quiz II (Solutions) Automata Theory - Quiz II (Solutions) K. Subramani LCSEE, West Virginia University, Morgantown, WV {ksmani@csee.wvu.edu} 1 Problems 1. Induction: Let L denote the language of balanced strings over Σ =

More information

Automata and Languages

Automata and Languages Automata and Languages Prof. Mohamed Hamada Software Engineering Lab. The University of Aizu Japan Nondeterministic Finite Automata with empty moves (-NFA) Definition A nondeterministic finite automaton

More information

cse303 ELEMENTS OF THE THEORY OF COMPUTATION Professor Anita Wasilewska

cse303 ELEMENTS OF THE THEORY OF COMPUTATION Professor Anita Wasilewska cse303 ELEMENTS OF THE THEORY OF COMPUTATION Professor Anita Wasilewska LECTURE 14 SMALL REVIEW FOR FINAL SOME Y/N QUESTIONS Q1 Given Σ =, there is L over Σ Yes: = {e} and L = {e} Σ Q2 There are uncountably

More information

Deterministic Finite Automata. Non deterministic finite automata. Non-Deterministic Finite Automata (NFA) Non-Deterministic Finite Automata (NFA)

Deterministic Finite Automata. Non deterministic finite automata. Non-Deterministic Finite Automata (NFA) Non-Deterministic Finite Automata (NFA) Deterministic Finite Automata Non deterministic finite automata Automata we ve been dealing with have been deterministic For every state and every alphabet symbol there is exactly one move that the machine

More information

Introduction to Theory of Computing

Introduction to Theory of Computing CSCI 2670, Fall 2012 Introduction to Theory of Computing Department of Computer Science University of Georgia Athens, GA 30602 Instructor: Liming Cai www.cs.uga.edu/ cai 0 Lecture Note 3 Context-Free Languages

More information

CSE 105 THEORY OF COMPUTATION

CSE 105 THEORY OF COMPUTATION CSE 105 THEORY OF COMPUTATION Spring 2016 http://cseweb.ucsd.edu/classes/sp16/cse105-ab/ Today's learning goals Sipser Ch 3.3, 4.1 State and use the Church-Turing thesis. Give examples of decidable problems.

More information

Context Free Languages (CFL) Language Recognizer A device that accepts valid strings. The FA are formalized types of language recognizer.

Context Free Languages (CFL) Language Recognizer A device that accepts valid strings. The FA are formalized types of language recognizer. Context Free Languages (CFL) Language Recognizer A device that accepts valid strings. The FA are formalized types of language recognizer. Language Generator: Context free grammars are language generators,

More information

NODIA AND COMPANY. GATE SOLVED PAPER Computer Science Engineering Theory of Computation. Copyright By NODIA & COMPANY

NODIA AND COMPANY. GATE SOLVED PAPER Computer Science Engineering Theory of Computation. Copyright By NODIA & COMPANY No part of this publication may be reproduced or distributed in any form or any means, electronic, mechanical, photocopying, or otherwise without the prior permission of the author. GATE SOLVED PAPER Computer

More information

Recitation 2 - Non Deterministic Finite Automata (NFA) and Regular OctoberExpressions

Recitation 2 - Non Deterministic Finite Automata (NFA) and Regular OctoberExpressions Recitation 2 - Non Deterministic Finite Automata (NFA) and Regular Expressions Orit Moskovich Gal Rotem Tel Aviv University October 28, 2015 Recitation 2 - Non Deterministic Finite Automata (NFA) and Regular

More information

Chapter 3. Regular grammars

Chapter 3. Regular grammars Chapter 3 Regular grammars 59 3.1 Introduction Other view of the concept of language: not the formalization of the notion of effective procedure, but set of words satisfying a given set of rules Origin

More information

CS5371 Theory of Computation. Lecture 7: Automata Theory V (CFG, CFL, CNF)

CS5371 Theory of Computation. Lecture 7: Automata Theory V (CFG, CFL, CNF) CS5371 Theory of Computation Lecture 7: Automata Theory V (CFG, CFL, CNF) Announcement Homework 2 will be given soon (before Tue) Due date: Oct 31 (Tue), before class Midterm: Nov 3, (Fri), first hour

More information

(b) If G=({S}, {a}, {S SS}, S) find the language generated by G. [8+8] 2. Convert the following grammar to Greibach Normal Form G = ({A1, A2, A3},

(b) If G=({S}, {a}, {S SS}, S) find the language generated by G. [8+8] 2. Convert the following grammar to Greibach Normal Form G = ({A1, A2, A3}, Code No: 07A50501 R07 Set No. 2 III B.Tech I Semester Examinations,MAY 2011 FORMAL LANGUAGES AND AUTOMATA THEORY Computer Science And Engineering Time: 3 hours Max Marks: 80 Answer any FIVE Questions All

More information

Undecidable Problems and Reducibility

Undecidable Problems and Reducibility University of Georgia Fall 2014 Reducibility We show a problem decidable/undecidable by reducing it to another problem. One type of reduction: mapping reduction. Definition Let A, B be languages over Σ.

More information

acs-07: Decidability Decidability Andreas Karwath und Malte Helmert Informatik Theorie II (A) WS2009/10

acs-07: Decidability Decidability Andreas Karwath und Malte Helmert Informatik Theorie II (A) WS2009/10 Decidability Andreas Karwath und Malte Helmert 1 Overview An investigation into the solvable/decidable Decidable languages The halting problem (undecidable) 2 Decidable problems? Acceptance problem : decide

More information

Properties of Context Free Languages

Properties of Context Free Languages 1 Properties of Context Free Languages Pallab Dasgupta, Professor, Dept. of Computer Sc & Engg 2 Theorem: CFLs are closed under concatenation If L 1 and L 2 are CFLs, then L 1 L 2 is a CFL. Proof: 1. Let

More information

Theory of Computation

Theory of Computation Theory of Computation Lecture #10 Sarmad Abbasi Virtual University Sarmad Abbasi (Virtual University) Theory of Computation 1 / 43 Lecture 10: Overview Linear Bounded Automata Acceptance Problem for LBAs

More information