CS375: Logic and Theory of Computing
|
|
- Hilary Atkins
- 6 years ago
- Views:
Transcription
1 CS375: Logic and Theory of Computing Fuhua (Frank) Cheng Department of Computer Science University of Kentucky 1
2 Tale of Contents: Week 1: Preliminaries (set algera, relations, functions) (read Chapters 1-4) Weeks 3-6: Regular Languages, Finite Automata (Chapter 11) Weeks 7-9: Context-Free Languages, Pushdown Automata (Chapters 12) Weeks 10-12: Turing Machines (Chapter 13) 2
3 Tale of Contents (conti): Weeks 13-14: Propositional Logic (Chapter 6), Predicate Logic (Chapter 7), Computational Logic (Chapter 9), Algeraic Structures (Chapter 10) 3
4 Question: can we get a most efficient regular expression for a given NFA? Why? as compact as possile YES, in two steps. First, transform the given NFA to a DFA Then, transform the DFA to a minimum-state DFA 4
5 Transforming an NFA into a DFA The Ʌ-closure of a state s, denoted Ʌ(s), is the set consisting of s together with all states that can e reached from s y traversing Ʌ-edges. The Ʌ-closure of a set S of states, denoted Ʌ(S), is the union of the Ʌ-closure of the states in S. Ʌ(0)=? Ʌ(0)= {0, 1, 2} Ʌ({0, 1})= Ʌ(0) U Ʌ(1) = {0, 1, 2} U {1, 2} = {0, 1, 2} 5
6 The same NFA again: ( 0) {0,1, 2} (1) {1, 2} (2) {2} ( ) ({ 1, 2}) } ({0,1, 2}) 6 {1, 2 {0,1, 2}
7 Algorithm: Transform an NFA into a DFA Construct a DFA tale TD from an NFA tale TN as follows: 1. The start state of the DFA is Ʌ(s), where s is the start state of the NFA. 3. A DFA state is final if one of its elements is an NFA final state. 7
8 Example. Given the following NFA. Construct the DFA transition tale TD and write it in simplified form after renumering states. First: Λ(0) {0,3} (1) {1} (2) {2} (3) {3} Start state 8
9 Then, how to get the States of the DFA? 1. Build the tree on the right 2. Identify all distinct nodes 9
10 Then, how to get the States of the DFA? initially 10
11 Example. Given the following NFA. Λ(0) {0,3} (1) {1} (2) {2} (3) {3} T D ({0,3}, a) ( T (0, a) T ( {3}) ({3}) {3} (3, a)) 11 N N
12 Example. Given the following NFA. Λ(0) {0,3} (1) {1} (2) {2} (3) {3} T D ({0,3}, ) ( T N (0, ) T ({0,1} ) ({0,1}) (0) (1) (3, )) {0,3} {1} {0,1,3} 2/9/ N
13 So, we have 13
14 Then, uild the next level of the tree: 14
15 Example. Given the following NFA. Λ(0) {0,3} (1) {1} (2) {2} (3) {3} T D ({3}, a) ( T (3, a)) ({3}) (3) {3} 15 N
16 Example. Given the following NFA. Λ(0) {0,3} (1) {1} (3) {3} T D ({ 3}, ) ( T (3, )) ( ) (2) {2} 16 N
17 So we have the child nodes of {3}. Then find the child nodes of {0, 1, 3} 17
18 Example. Given the following NFA. Λ(0) {0,3} (1) {1} (2) {2} (3) {3} T D ({0,1, 3}, a) ( T N (0, a) T (1, a) T (3, a)) ( {2} {3}) ({2, 3}) (2) (3) {2} {3} {2,3} 18 N N
19 Example. Given the following NFA. Λ(0) {0,3} (1) {1} (2) {2} (3) {3} T D ({0,1, 3}, ) ( T N (0, ) T (1, ) T (3, )) ({0,1} ) ({0,1}) (0) (1) {0,3} {1} {0,1,3} 19 N N
20 So, we have the child nodes of {0, 1, 3}. Then find child nodes of Φ and {2,3} 20
21 Example. Given the following NFA. Λ(0) {0,3} (1) {1} (2) {2} (3) {3} T D (, a) ( T (, a)) ( ) 21 N
22 Example. Given the following NFA. Λ(0) {0,3} (1) {1} (2) {2} (3) {3} T D (, ) ( T (, )) ( ) 22 N
23 So we have child nodes of Φ now. 23
24 Eventually we would get the following tree: Identify all distinct nodes: 24
25 Then uild the transition tale 25
26 Write in simplified form after renumering the states: 26
27 a 0 2 a a 3 1 a a 5 a, 4 27
28 a a 1 0 a a 3 2 a 5 a, 4 28
29 0 2 a a 3 1 a a 4 a 5 29 a, Language of NFA: *Ʌa*+*a* = *a* + *a* What is the language of the DFA? Ʌ, aa*, *, *a, *aa, *aaa*, *a, *a* = a*, *, *a*, *a* = *a*, *a*
30 Example. Transform the following NFA into a DFA. 30
31 Example. Transform the following NFA into a DFA. First (0) {0, 3} (1) {1} (2) {2} (3) {3} 31
32 Quiz. Transform the following NFA into a DFA. Then, uild the tree 32
33 Example. Transform the following NFA into a DFA. Hence, solution: 33
34 Algorithm: Transform a DFA to a minimum-state DFA 1. Construct the following sequence of sets of possile equivalent pairs of distinct states: where and E E E E k E 0 1 k 1 E0 = {{s, t} s and t are either oth final or oth non-final} i 1 {{ s, t} E i { T ( s, a), T ( t, a)} E or T ( s, a) T ( t, a) for every a A} Ek represents the distinct pairs of equivalent states from which an equivalence relation ~ can e generated. 34 i
35 E0 =? E0 = {{s, t} s & t are either oth final or oth non-final} E0 = { {0,4}, {1,2}, {1,3}, {2,3} } E0 = { {0,0}, {4,4}, {0,4}, {4,0}, {1,1}, {2,2}, {3, 3}, {1,2}, {2,1}, {1,3}, {3,1}, {2,3}, {3,2} } Theoretically 35
36 E1 =? E0 = E i 1 {{ s, t} for every a E i A} { T ( s, a), T ( t, a)} E i or T ( s, a) T ( t, a) To e a pair in Ei+1, s and t must e mapped to the same state or states in the same group in Ei y every a ϵ A. 36
37 E0 = 1 a 2 2 a a 1 4 a 4 E1 = 37
38 E1 = Theoretically, E1 = { {0,0}, {4,4}, {1,1}, {2,2}, {3, 3}, {1,2}, {2,1}, {1,3}, {3,1}, {2,3}, {3,2} } or simply, E1 = { {1,2}, {1,3}, {2,3} } 38
39 E2 =? One-element groups can not e further reduced and the threeelement group will remain the same Hence, E2 = E1 S is partitioned y {0}, {1, 2, 3}, {4}. 39
40 Algorithm: Transform a DFA to a minimum-state DFA 2. The equivalence classes form the states of the minimum state DFA with transition tale Tmin defined y Tmin([s], a) = [T(s, a)]. 3. The start state is the class containing the start state of the given DFA. 4. A final state is any class containing a final state of the given DFA. 40
41 Example. Transform the given DFA into a minimum-state DFA. E2 = E1 E2 = So S is partitioned y {0}, {1, 2, 3}, {4}. 41 The minimum-state DFA has three states: [0], [1], [4].
42 Example. Transform the given DFA into a minimum-state DFA. Tmin([s], a) = [T(s, a)] Tmin([0], a) = [T(0, a)] = [1] Tmin([0], ) = [T(0, )] = [4] Tmin([1], a) = [T(1, a)] = [2] = [1] 2/9/
43 Example. Transform the given DFA into a minimum-state DFA. 43
44 Example. Transform the given DFA into a minimum-state DFA. Question: What regular expression equality arises from the two DFAs? Answer: a + aa + (aaa + aa + a)(a + )* = a(a + )*. 44
45 Prove : a + aa + (aaa + aa + a)(a + )* = a(a + )* LHS = a + aa +aa(a + )(a + )* + a(a + )* = a + aa + aa(a + ) + + a(a + )* = a + aa( Ʌ + (a + ) + ) + a(a + )* = a + aa(a + )* + a(a + )* = a + a(a + )(a + )* = a + a(a + ) + = a(ʌ + (a + ) + ) = a (a + )* = RHS 45
46 Question: Is the following DFA a minimum-state DFA? E0 = Answer. No. Use the minimum-state algorithm. E0 = {{0, 1}}, E1 = {{0, 1}} = E0. The partition is the whole set of states {0, 1} = [0]. Therefore, we have 46
47 Question: Is the following DFA a minimum-state DFA? c c a S 0 a,c E0 = c 1 a a,c 5 2 a 4 3 a 47 c
48 Question: Is the following DFA a minimum-state DFA? a S 0 a,c E0 = c c E1 c =? 1 0 c 3 a 2 a,c 1 c 1 5 c 5 5 a 4 3 a 48 c
49 Question: Is the following DFA a minimum-state DFA? a S 0 a,c E0 = c c E1 c =? a 2 a,c a 4 3 a 49 c
50 Question: Is the following DFA a minimum-state DFA? S E1 = 0 a c a,c a c 1 5 a,c 3 a 50 c 2 c a 4 E2 =? E2 = E1 The minimumstate DFA has 4 states : [0], [1], [2], [3]. Answer: NO
51 Example. S = {0, 1, 2, 3, 4, 5} : states of a DFA 0 : start state ; 2, 5 : final states. The equivalence relation on S for a minimum-state DFA is generated y the following set of equivalent pairs of states: {{0, 1}, {0, 4}, {1, 4}, {2, 5}} Write down the states of the minimum-state DFA 51
52 Example. S = {0, 1, 2, 3, 4, 5} : states of a DFA 0 : start state ; 2, 5 : final states. Equivalent pairs of states: {{0,1}, {0,4}, {1,4}, {2,5}} E0 = So, states of the minimum-state DFA: {0, 1, 4}, {3}, {2, 5} 52
53 End of Regular Language and Finite Automata III 53
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 informationCS375: Logic and Theory of Computing
CS375: Logic and Theory of Computing Fuhua (Frank) Cheng Department of Computer Science University of Kentucky 1 Table of Contents: Week 1: Preliminaries (set algebra, relations, functions) (read Chapters
More informationCS375: Logic and Theory of Computing
CS375: Logic and Theory of Computing Fuhua (Frank) Cheng Department of Computer Science University of Kentucky 1 Table of Contents: Week 1: Preliminaries (set algebra, relations, functions) (read Chapters
More informationCS375: Logic and Theory of Computing
CS375: Logic nd Theory of Computing Fuhu (Frnk) Cheng Deprtment of Computer Science University of Kentucky 1 Tle of Contents: Week 1: Preliminries (set lger, reltions, functions) (red Chpters 1-4) Weeks
More informationCS375 Midterm Exam Solution Set (Fall 2017)
CS375 Midterm Exam Solution Set (Fall 2017) Closed book & closed notes October 17, 2017 Name sample 1. (10 points) (a) Put in the following blank the number of strings of length 5 over A={a, b, c} that
More informationCS375: Logic and Theory of Computing
CS375: Logic nd Theory of Computing Fuhu (Frnk) Cheng Deprtment of Computer Science University of Kentucky 1 Tble of Contents: Week 1: Preliminries (set lgebr, reltions, functions) (red Chpters 1-4) Weeks
More informationSri vidya college of engineering and technology
Unit I FINITE AUTOMATA 1. Define hypothesis. The formal proof can be using deductive proof and inductive proof. The deductive proof consists of sequence of statements given with logical reasoning in order
More informationTheory of Computation
Theory of Computation COMP363/COMP6363 Prerequisites: COMP4 and COMP 6 (Foundations of Computing) Textbook: Introduction to Automata Theory, Languages and Computation John E. Hopcroft, Rajeev Motwani,
More informationCOM364 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 informationClosure under the Regular Operations
September 7, 2013 Application of NFA Now we use the NFA to show that collection of regular languages is closed under regular operations union, concatenation, and star Earlier we have shown this closure
More informationCSE 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 informationCS 154 Formal Languages and Computability Assignment #2 Solutions
CS 154 Formal Languages and Computability Assignment #2 Solutions Department of Computer Science San Jose State University Spring 2016 Instructor: Ron Mak www.cs.sjsu.edu/~mak Assignment #2: Question 1
More informationCSE 105 Homework 1 Due: Monday October 9, Instructions. should be on each page of the submission.
CSE 5 Homework Due: Monday October 9, 7 Instructions Upload a single file to Gradescope for each group. should be on each page of the submission. All group members names and PIDs Your assignments in this
More informationCS5371 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 informationCS 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 informationComputational Models: Class 3
Computational Models: Class 3 Benny Chor School of Computer Science Tel Aviv University November 2, 2015 Based on slides by Maurice Herlihy, Brown University, and modifications by Iftach Haitner and Yishay
More informationFinite Automata Part Two
Finite Automata Part Two DFAs A DFA is a Deterministic Finite Automaton A DFA is defined relative to some alphabet Σ. For each state in the DFA, there must be exactly one transition defined for each symbol
More information2017/08/31 Chapter 1.2 & 1.3 in Sipser Ø Announcement:
Regular Expressions Human-aware and Robo.cs Operations 2017/08/31 Chapter 1.2 & 1.3 in Sipser Ø Announcement: q q q q Many thanks to students who have responded so far! There is still time to respond to
More informationFinite Automata and Languages
CS62, IIT BOMBAY Finite Automata and Languages Ashutosh Trivedi Department of Computer Science and Engineering, IIT Bombay CS62: New Trends in IT: Modeling and Verification of Cyber-Physical Systems (2
More informationSt.MARTIN S ENGINEERING COLLEGE Dhulapally, Secunderabad
St.MARTIN S ENGINEERING COLLEGE Dhulapally, Secunderabad-500 014 Subject: FORMAL LANGUAGES AND AUTOMATA THEORY Class : CSE II PART A (SHORT ANSWER QUESTIONS) UNIT- I 1 Explain transition diagram, transition
More informationTDDD65 Introduction to the Theory of Computation
TDDD65 Introduction to the Theory of Computation Lecture 2 Gustav Nordh, IDA gustav.nordh@liu.se 2012-08-31 Outline - Lecture 2 Closure properties of regular languages Regular expressions Equivalence of
More informationCS 208: Automata Theory and Logic
CS 28: Automata Theory and Logic b a a start A x(la(x) y(x < y) L b (y)) B b Department of Computer Science and Engineering, Indian Institute of Technology Bombay of 32 Nondeterminism Alternation 2 of
More informationIntroduction 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 informationModels of Computation. by Costas Busch, LSU
Models of Computation by Costas Busch, LSU 1 Computation CPU memory 2 temporary memory input memory CPU output memory Program memory 3 Example: f ( x) x 3 temporary memory input memory Program memory compute
More informationCS 4120 Lecture 3 Automating lexical analysis 29 August 2011 Lecturer: Andrew Myers. 1 DFAs
CS 42 Lecture 3 Automating lexical analysis 29 August 2 Lecturer: Andrew Myers A lexer generator converts a lexical specification consisting of a list of regular expressions and corresponding actions into
More informationTheory of Computation Lecture 1. Dr. Nahla Belal
Theory of Computation Lecture 1 Dr. Nahla Belal Book The primary textbook is: Introduction to the Theory of Computation by Michael Sipser. Grading 10%: Weekly Homework. 30%: Two quizzes and one exam. 20%:
More informationIntroduction 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 informationFurther discussion of Turing machines
Further discussion of Turing machines In this lecture we will discuss various aspects of decidable and Turing-recognizable languages that were not mentioned in previous lectures. In particular, we will
More informationAC68 FINITE AUTOMATA & FORMULA LANGUAGES DEC 2013
Q.2 a. Prove by mathematical induction n 4 4n 2 is divisible by 3 for n 0. Basic step: For n = 0, n 3 n = 0 which is divisible by 3. Induction hypothesis: Let p(n) = n 3 n is divisible by 3. Induction
More informationCS 301. Lecture 18 Decidable languages. Stephen Checkoway. April 2, 2018
CS 301 Lecture 18 Decidable languages Stephen Checkoway April 2, 2018 1 / 26 Decidable language Recall, a language A is decidable if there is some TM M that 1 recognizes A (i.e., L(M) = A), and 2 halts
More informationFORMAL 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 informationCSE 105 THEORY OF COMPUTATION
CSE 105 THEORY OF COMPUTATION Spring 2017 http://cseweb.ucsd.edu/classes/sp17/cse105-ab/ Today's learning goals Sipser Ch 1.4 Explain the limits of the class of regular languages Justify why the Pumping
More informationCS 154, Lecture 3: DFA NFA, Regular Expressions
CS 154, Lecture 3: DFA NFA, Regular Expressions Homework 1 is coming out Deterministic Finite Automata Computation with finite memory Non-Deterministic Finite Automata Computation with finite memory and
More informationPlan for Today and Beginning Next week (Lexical Analysis)
Plan for Today and Beginning Next week (Lexical Analysis) Regular Expressions Finite State Machines DFAs: Deterministic Finite Automata Complications NFAs: Non Deterministic Finite State Automata From
More informationTHEORY 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 informationIntroduction: Computer Science is a cluster of related scientific and engineering disciplines concerned with the study and application of computations. These disciplines range from the pure and basic scientific
More informationWhat we have done so far
What we have done so far DFAs and regular languages NFAs and their equivalence to DFAs Regular expressions. Regular expressions capture exactly regular languages: Construct a NFA from a regular expression.
More informationCS Lecture 28 P, NP, and NP-Completeness. Fall 2008
CS 301 - Lecture 28 P, NP, and NP-Completeness Fall 2008 Review Languages and Grammars Alphabets, strings, languages Regular Languages Deterministic Finite and Nondeterministic Automata Equivalence of
More informationCS 121, Section 2. Week of September 16, 2013
CS 121, Section 2 Week of September 16, 2013 1 Concept Review 1.1 Overview In the past weeks, we have examined the finite automaton, a simple computational model with limited memory. We proved that DFAs,
More informationLecture 3: Nondeterministic Finite Automata
Lecture 3: Nondeterministic Finite Automata September 5, 206 CS 00 Theory of Computation As a recap of last lecture, recall that a deterministic finite automaton (DFA) consists of (Q, Σ, δ, q 0, F ) where
More informationComputational Models - Lecture 3
Slides modified by Benny Chor, based on original slides by Maurice Herlihy, Brown University. p. 1 Computational Models - Lecture 3 Equivalence of regular expressions and regular languages (lukewarm leftover
More informationFoundations 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 informationAutomata Theory. Lecture on Discussion Course of CS120. Runzhe SJTU ACM CLASS
Automata Theory Lecture on Discussion Course of CS2 This Lecture is about Mathematical Models of Computation. Why Should I Care? - Ways of thinking. - Theory can drive practice. - Don t be an Instrumentalist.
More informationFORMAL LANGUAGES, AUTOMATA AND COMPUTATION
FORMAL LANGUAGES, AUTOMATA AND COMPUTATION IDENTIFYING NONREGULAR LANGUAGES PUMPING LEMMA Carnegie Mellon University in Qatar (CARNEGIE MELLON UNIVERSITY IN QATAR) SLIDES FOR 15-453 LECTURE 5 SPRING 2011
More informationCS154, Lecture 13: P vs NP
CS154, Lecture 13: P vs NP The EXTENDED Church-Turing Thesis Everyone s Intuitive Notion of Efficient Algorithms Polynomial-Time Turing Machines More generally: TM can simulate every reasonable model of
More informationTheory 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 informationCS Lecture 29 P, NP, and NP-Completeness. k ) for all k. Fall The class P. The class NP
CS 301 - Lecture 29 P, NP, and NP-Completeness Fall 2008 Review Languages and Grammars Alphabets, strings, languages Regular Languages Deterministic Finite and Nondeterministic Automata Equivalence of
More informationChapter 6. Properties of Regular Languages
Chapter 6 Properties of Regular Languages Regular Sets and Languages Claim(1). The family of languages accepted by FSAs consists of precisely the regular sets over a given alphabet. Every regular set is
More informationTheory of Computation
Theory of Computation Dr. Sarmad Abbasi Dr. Sarmad Abbasi () Theory of Computation 1 / 38 Lecture 21: Overview Big-Oh notation. Little-o notation. Time Complexity Classes Non-deterministic TMs The Class
More informationComputability Theory
CS:4330 Theory of Computation Spring 2018 Computability Theory Decidable Languages Haniel Barbosa Readings for this lecture Chapter 4 of [Sipser 1996], 3rd edition. Section 4.1. Decidable Languages We
More informationCS154, Lecture 13: P vs NP
CS154, Lecture 13: P vs NP The EXTENDED Church-Turing Thesis Everyone s Intuitive Notion of Efficient Algorithms Polynomial-Time Turing Machines More generally: TM can simulate every reasonable model of
More informationCSE 105 THEORY OF COMPUTATION
CSE 105 THEORY OF COMPUTATION "Winter" 2018 http://cseweb.ucsd.edu/classes/wi18/cse105-ab/ Today's learning goals Sipser Ch 4.1 Explain what it means for a problem to be decidable. Justify the use of encoding.
More informationCSE 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 1.4 Give an example of a non-regular language Outline two strategies for proving
More informationTribhuvan University Institute of Science and Technology Micro Syllabus
Tribhuvan University Institute of Science and Technology Micro Syllabus Course Title: Discrete Structure Course no: CSC-152 Full Marks: 80+20 Credit hours: 3 Pass Marks: 32+8 Nature of course: Theory (3
More informationHarvard CS 121 and CSCI E-207 Lecture 4: NFAs vs. DFAs, Closure Properties
Harvard CS 121 and CSCI E-207 Lecture 4: NFAs vs. DFAs, Closure Properties Salil Vadhan September 13, 2012 Reading: Sipser, 1.2. How to simulate NFAs? NFA accepts w if there is at least one accepting computational
More informationSeptember 11, Second Part of Regular Expressions Equivalence with Finite Aut
Second Part of Regular Expressions Equivalence with Finite Automata September 11, 2013 Lemma 1.60 If a language is regular then it is specified by a regular expression Proof idea: For a given regular language
More informationTheory 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 informationFORMAL LANGUAGES, AUTOMATA AND COMPUTABILITY
5-453 FORMAL LANGUAGES, AUTOMATA AND COMPUTABILITY NON-DETERMINISM and REGULAR OPERATIONS THURSDAY JAN 6 UNION THEOREM The union of two regular languages is also a regular language Regular Languages Are
More informationT (s, xa) = T (T (s, x), a). The language recognized by M, denoted L(M), is the set of strings accepted by M. That is,
Recall A deterministic finite automaton is a five-tuple where S is a finite set of states, M = (S, Σ, T, s 0, F ) Σ is an alphabet the input alphabet, T : S Σ S is the transition function, s 0 S is the
More informationIntroduction 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 informationEquivalence of DFAs and NFAs
CS 172: Computability and Complexity Equivalence of DFAs and NFAs It s a tie! DFA NFA Sanjit A. Seshia EECS, UC Berkeley Acknowledgments: L.von Ahn, L. Blum, M. Blum What we ll do today Prove that DFAs
More informationCS 133 : Automata Theory and Computability
CS 133 : Automata Theory and Computability Lecture Slides 1 Regular Languages and Finite Automata Nestine Hope S. Hernandez Algorithms and Complexity Laboratory Department of Computer Science University
More informationContext-Free Grammars and Languages. Reading: Chapter 5
Context-Free Grammars and Languages Reading: Chapter 5 1 Context-Free Languages The class of context-free languages generalizes the class of regular languages, i.e., every regular language is a context-free
More informationTopics in Timed Automata
1/32 Topics in Timed Automata B. Srivathsan RWTH-Aachen Software modeling and Verification group 2/32 Timed Automata A theory of timed automata R. Alur and D. Dill, TCS 94 2/32 Timed Automata Language
More informationAutomata and Formal Languages - CM0081 Finite Automata and Regular Expressions
Automata and Formal Languages - CM0081 Finite Automata and Regular Expressions Andrés Sicard-Ramírez Universidad EAFIT Semester 2018-2 Introduction Equivalences DFA NFA -NFA RE Finite Automata and Regular
More information1. (a) Explain the procedure to convert Context Free Grammar to Push Down Automata.
Code No: R09220504 R09 Set No. 2 II B.Tech II Semester Examinations,December-January, 2011-2012 FORMAL LANGUAGES AND AUTOMATA THEORY Computer Science And Engineering Time: 3 hours Max Marks: 75 Answer
More informationCSE 2001: Introduction to Theory of Computation Fall Suprakash Datta
CSE 2001: Introduction to Theory of Computation Fall 2013 Suprakash Datta datta@cse.yorku.ca Office: CSEB 3043 Phone: 416-736-2100 ext 77875 Course page: http://www.eecs.yorku.ca/course/2001 9/10/2013
More informationAutomata Theory. CS F-10 Non-Context-Free Langauges Closure Properties of Context-Free Languages. David Galles
Automata Theory CS411-2015F-10 Non-Context-Free Langauges Closure Properties of Context-Free Languages David Galles Department of Computer Science University of San Francisco 10-0: Fun with CFGs Create
More informationNondeterministic 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 informationRegular Expressions. Definitions Equivalence to Finite Automata
Regular Expressions Definitions Equivalence to Finite Automata 1 RE s: Introduction Regular expressions are an algebraic way to describe languages. They describe exactly the regular languages. If E is
More informationPushdown 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 informationTheory of computation: initial remarks (Chapter 11)
Theory of computation: initial remarks (Chapter 11) For many purposes, computation is elegantly modeled with simple mathematical objects: Turing machines, finite automata, pushdown automata, and such.
More informationComputational Models - Lecture 4
Computational Models - Lecture 4 Regular languages: The Myhill-Nerode Theorem Context-free Grammars Chomsky Normal Form Pumping Lemma for context free languages Non context-free languages: Examples Push
More informationDeterministic Finite Automaton (DFA)
1 Lecture Overview Deterministic Finite Automata (DFA) o accepting a string o defining a language Nondeterministic Finite Automata (NFA) o converting to DFA (subset construction) o constructed from a regular
More informationPushdown 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 informationDeterministic Finite Automata (DFAs)
Algorithms & Models of Computation CS/ECE 374, Fall 27 Deterministic Finite Automata (DFAs) Lecture 3 Tuesday, September 5, 27 Sariel Har-Peled (UIUC) CS374 Fall 27 / 36 Part I DFA Introduction Sariel
More informationCPSC 421: Tutorial #1
CPSC 421: Tutorial #1 October 14, 2016 Set Theory. 1. Let A be an arbitrary set, and let B = {x A : x / x}. That is, B contains all sets in A that do not contain themselves: For all y, ( ) y B if and only
More informationCS 154. Finite Automata, Nondeterminism, Regular Expressions
CS 54 Finite Automata, Nondeterminism, Regular Expressions Read string left to right The DFA accepts a string if the process ends in a double circle A DFA is a 5-tuple M = (Q, Σ, δ, q, F) Q is the set
More informationComputational Models - Lecture 3 1
Computational Models - Lecture 3 1 Handout Mode Iftach Haitner and Yishay Mansour. Tel Aviv University. March 13/18, 2013 1 Based on frames by Benny Chor, Tel Aviv University, modifying frames by Maurice
More informationRegular Languages. Kleene Theorem I. Proving Kleene Theorem. Kleene Theorem. Proving Kleene Theorem. Proving Kleene Theorem
Regular Languages Kleene Theorem I Today we continue looking at our first class of languages: Regular languages Means of defining: Regular Expressions Machine for accepting: Finite Automata Kleene Theorem
More informationModels of Computation I: Finite State Automata
Models of Computation I: Finite State Automata COMP1600 / COMP6260 Dirk Pattinson Australian National University Semester 2, 2017 Catch Up / Drop in Lab When Fridays, 15.00-17.00 Where N335, CSIT Building
More informationVisibly Linear Dynamic Logic
Visibly Linear Dynamic Logic Joint work with Alexander Weinert (Saarland University) Martin Zimmermann Saarland University September 8th, 2016 Highlights Conference, Brussels, Belgium Martin Zimmermann
More informationGEETANJALI INSTITUTE OF TECHNICAL STUDIES, UDAIPUR I
GEETANJALI INSTITUTE OF TECHNICAL STUDIES, UDAIPUR I Internal Examination 2017-18 B.Tech III Year VI Semester Sub: Theory of Computation (6CS3A) Time: 1 Hour 30 min. Max Marks: 40 Note: Attempt all three
More informationCSCE 551: Chin-Tser Huang. University of South Carolina
CSCE 551: Theory of Computation Chin-Tser Huang huangct@cse.sc.edu University of South Carolina Church-Turing Thesis The definition of the algorithm came in the 1936 papers of Alonzo Church h and Alan
More informationCS5371 Theory of Computation. Lecture 9: Automata Theory VII (Pumping Lemma, Non-CFL)
CS5371 Theory of Computation Lecture 9: Automata Theory VII (Pumping Lemma, Non-CFL) Objectives Introduce Pumping Lemma for CFL Apply Pumping Lemma to show that some languages are non-cfl Pumping Lemma
More informationRegular languages, regular expressions, & finite automata (intro) CS 350 Fall 2018 gilray.org/classes/fall2018/cs350/
Regular languages, regular expressions, & finite automata (intro) CS 350 Fall 2018 gilray.org/classes/fall2018/cs350/ 1 L = {hello, bonjour, konnichiwa, } Σ = {a, b, c,, y, z}!2 Σ = {a, b, c,, y, z} Σ*
More informationCS Automata, Computability and Formal Languages
Automata, Computability and Formal Languages Luc Longpré faculty.utep.edu/longpre 1 - Pg 1 Slides : version 3.1 version 1 A. Tapp version 2 P. McKenzie, L. Longpré version 2.1 D. Gehl version 2.2 M. Csűrös,
More informationDeterministic Finite Automata
Deterministic Finite Automata COMP2600 Formal Methods for Software Engineering Katya Lebedeva Australian National University Semester 2, 2016 Slides by Ranald Clouston and Katya Lebedeva. COMP 2600 Deterministic
More informationFormal Language and Automata Theory (CS21004)
Theory (CS21004) Announcements The slide is just a short summary Follow the discussion and the boardwork Solve problems (apart from those we dish out in class) Table of Contents 1 2 3 Patterns A Pattern
More informationQuestion Bank UNIT I
Siddhivinayak Technical Campus School of Engineering & Research Technology Department of computer science and Engineering Session 2016-2017 Subject Name- Theory of Computation Subject Code-4KS05 Sr No.
More informationTheory of Computation (Classroom Practice Booklet Solutions)
Theory of Computation (Classroom Practice Booklet Solutions) 1. Finite Automata & Regular Sets 01. Ans: (a) & (c) Sol: (a) The reversal of a regular set is regular as the reversal of a regular expression
More informationLet us first give some intuitive idea about a state of a system and state transitions before describing finite automata.
Finite Automata Automata (singular: automation) are a particularly simple, but useful, model of computation. They were initially proposed as a simple model for the behavior of neurons. The concept of a
More informationCS 322 D: Formal languages and automata theory
CS 322 D: Formal languages and automata theory Tutorial NFA DFA Regular Expression T. Najla Arfawi 2 nd Term - 26 Finite Automata Finite Automata. Q - States 2. S - Alphabets 3. d - Transitions 4. q -
More informationChapter 5. Finite Automata
Chapter 5 Finite Automata 5.1 Finite State Automata Capable of recognizing numerous symbol patterns, the class of regular languages Suitable for pattern-recognition type applications, such as the lexical
More informationPumping Lemma for CFLs
Pumping Lemma for CFLs v y s Here we go again! Intuition: If L is CF, then some CFG G produces strings in L If some string in L is very long, it will have a very tall parse tree If a parse tree is taller
More informationLanguages. A language is a set of strings. String: A sequence of letters. Examples: cat, dog, house, Defined over an alphabet:
Languages 1 Languages A language is a set of strings String: A sequence of letters Examples: cat, dog, house, Defined over an alphaet: a,, c,, z 2 Alphaets and Strings We will use small alphaets: Strings
More informationClarifications from last time. This Lecture. Last Lecture. CMSC 330: Organization of Programming Languages. Finite Automata.
CMSC 330: Organization of Programming Languages Last Lecture Languages Sets of strings Operations on languages Finite Automata Regular expressions Constants Operators Precedence CMSC 330 2 Clarifications
More informationCSE 2001: Introduction to Theory of Computation Fall Suprakash Datta
CSE 2001: Introduction to Theory of Computation Fall 2012 Suprakash Datta datta@cse.yorku.ca Office: CSEB 3043 Phone: 416-736-2100 ext 77875 Course page: http://www.cs.yorku.ca/course/2001 9/6/2012 CSE
More informationTheory of computation: initial remarks (Chapter 11)
Theory of computation: initial remarks (Chapter 11) For many purposes, computation is elegantly modeled with simple mathematical objects: Turing machines, finite automata, pushdown automata, and such.
More information컴파일러입문 제 3 장 정규언어
컴파일러입문 제 3 장 정규언어 목차 3.1 정규문법과정규언어 3.2 정규표현 3.3 유한오토마타 3.4 정규언어의속성 Regular Language Page 2 정규문법과정규언어 A study of the theory of regular languages is often justified by the fact that they model the lexical
More information