Main Goal I basic concepts of automata and process theory regular languages
|
|
- Morris Wells
- 6 years ago
- Views:
Transcription
1 Cure verview Main Gal I baic cncept f autmata and prce thery regular language determinitic finite autmatn DFA nn-determinitic finite autmatn NFA regular exprein finite memry cntext-free language puh-dwn autmatn PDA cntext-free grammar CFG pare tree recurive enumerable language reactive Turing machine rtm claical Turing machine ctm unretricted grammar elf-reference and circularity
2 Cure verview (cnt.) Main Gal II mathematical prf and frmal reaning tutr grup hift t prf at final exam n cheduled tuitin n exercie examinatin interim tet n Chapter 2 (20%) prgramming aignment: Turing machine prgram (20%) participatin tutr grup (10%) final exam (50%) plan learning activitie with peer tudent
3 Mathematical inductin fr each prperty P N and natural number n,k 0: ( P(0) k N: P(k) = P(k +1) ) = n N: P(n) bai P(0) inductin tep P(n+1) inductin hypthei P(n) r k, 0 k n: P(k) thi cure: natural number; in general: well-funded tructure n N: (2n 1) = n 2 fr all n 0, if x 1,x 2,...,x n > 0 then (x 1 x 2... x n ) 1/n (x 1 +x x n )/n 3 n 1 i even
4 Structural inductin (fr tring) fr each prperty P Σ and natural number n,k 0: ( P(ε) a Σ, w Σ : P(w) = P(aw) ) = w Σ : P(w) bai P(ε) inductin tep P(aw) inductin hypthei P(w)
5 A play f tenni game, et, match lve, 15, 30, 40, game winning al require at leat tw cre mre deuce, advantage-in, advantage-ut
6 A tenni autmatn lve 15-lve lve lve 15-all lve lve lve-40 game-in game-ut all deuce adv-in adv-ut
7 A tenni autmatn (cnt.) lve 15-lve lve lve 15-all lve lve lve all game-in game-ut adv-in deuce adv-ut ingle initial tate ne r mre final tate many labeled tranitin
8 A tenni autmatn (cnt.) lve 15-lve lve lve 15-all lve lve lve all game-in game-ut adv-in deuce adv-ut accepted tring like and
9 Clicker quetin 1 Which tring i nt accepted by the tenni autmatn? A. B. C. lve 15-lve lve lve 15-all lve lve lve all game-in game-ut adv-in deuce adv-ut D. all are accepted
10 Determinitic Finite Autmata 2IT70 Finite Autmata and Prce Thery Techniche Univeriteit Eindhven April 18, 2016
11 Determinitic finite autmatn DFA D = (Q, Σ, δ, q 0, F) Q finite et f tate Σ finite alphabet δ : Q Σ Q tranitin functin q 0 Q initial tate F Q et f final tate 2IT70 (2016) Sectin /22
12 The tenni example lve 15-lve lve lve 15-all lve lve lve all game-in game-ut adv-in deuce adv-ut 2IT70 (2016) Sectin /22
13 The tenni example (cnt.) lve 15-lve lve lve 15-all lve lve lve all game-in game-ut adv-in deuce adv-ut et f tate {lve, 15 lve, lve 15,... } game-in, game-ut, deuce, adv-in, adv-ut} alphabet {, } tranitin lve 15 lve, lve lve 15,... initial tate lve et f final tate {game-in, game-ut} 2IT70 (2016) Sectin /22
14 Clicker quetin 3 Why de the fllwing nt repreent a DFA? q 0 0 q 0 1 q 2 A. The alphabet ha mre than 2 letter. B. It accept the empty tring ε. C. It ha a tranitin relatin, but nt a tranitin functin. D. It de repreent a DFA. 2IT70 (2016) Sectin /22
15 ne-tep and multi-tep yield cnfiguratin (q,w) fr tate q and tring w ne-tep yield (q,w) D (q,w ) iff a: w = aw, δ(q,a) = q multi-tep yield (q,w) D (q,w ) iff n 0 w 0,...,w n Σ q 0,...,q n Q : (q,w) = (q 0,w 0 ), (q i 1,w i 1 ) D (q i,w i ), fr i = 1..n (q n,w n ) = (q,w ) (q,w) = (q 0,w 0 ) D (q 1,w 1 ) D D (q n,w n ) = (q,w ) fr uitable n, w 0,...,w n, q 0,...,q n 2IT70 (2016) Sectin /22
16 Anther example DFA b a a,b a q 0 q a 1 q b 2 q 3 b (q 0,abaa) (q 1,baa) (q 0,aa) (q 1,a) (q 2,ε) (q 0,bbaa) (q 0,baa) (q 0,aa) (q 1,a) (q 2,ε) (q 1,aa) (q 2,ε) and (q 1,aaaa) (q 2,ε) (q 0,aab) (q 3,ε), (q 0,baab) (q 3,ε), and (q 0,baaaabaabb) (q 3,ε) 2IT70 (2016) Sectin /22
17 Language accepted by DFA L(D) = {w Σ q F: (q 0,w) D (q,ε)} b a a,b a q 0 q a 1 q b 2 q 3 b accepted language {w {a,b} w ha a ubtring aab} 2IT70 (2016) Sectin /22
18 Clicker quetin 2 Which language i the language accepted by thi autmatn? ee a a e b b b b a e a A. {a,b,aba,bab} B. {a(bb) n n 0} {b(aa) n n 0} C. {w {a,b} # a (w) i dd} D. {w {a,b} # a (w)+# b (w) i dd} 2IT70 (2016) Sectin /22
19 Path et DFA D, tate q pathet D (q) = {w Σ (q 0,w) D (q,ε)} even a a dd pathet D (even) = {a n n 0, n even} pathet D (dd) = {a n n 0, n dd} 2IT70 (2016) Sectin /22
20 Yet anther example DFA 0 0,1 q 0 1 q 1 1 q 2 0 L = {w {0,1} w ha n ubtring 11} tate pathet regular exprein q 0 n ubtring 11 and n lat ymbl 1 0 (10 + ) q 1 n ubtring 11 and lat ymbl 1 0 (10 + ) 1 q 2 ubtring 11 (0+1) 11(0+1) regular exprein will be explained later 2IT70 (2016) Sectin /22
21 Anther example DFA (rev.) ee a e tate pathet a ee {w # a (w) even, # b (w) even} b b b b e {w # a (w) dd, # b (w) even} a e {w # a (w) even, # b (w) dd} e a {w # a (w) dd, # b (w) dd} L(D) = pathet D (e) pathet D (e) = {w # a (w) dd, # b (w) even} {w # a (w) even, # b (w) dd} = {w # a (w)+# b (w) dd} = {w w dd} 2IT70 (2016) Sectin /22
22 Language accepted by DFA (reviited) b a a,b a q 0 q a 1 q b 2 q 3 b tate pathet q 0 {w n ubtring aa, nt ending in a} q 1 {w n ubtring aa, ending in a} q 2 {w ending in aa} q 3 {w ubtring aab } accepted language {w {a,b} w ha a ubtring aab } 2IT70 (2016) Sectin /22
AC68 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 informationThe Pumping Lemma (cont.) 2IT70 Finite Automata and Process Theory
The Pumping Lemma (cont.) 2IT70 Finite Automata and Process Theory Technische Universiteit Eindhoven May 4, 2016 The Pumping Lemma theorem if L Σ is a regular language then m > 0 : w L, w m : x,y,z : w
More informationFinite Automata. Human-aware Robo.cs. 2017/08/22 Chapter 1.1 in Sipser
Finite Autmata 2017/08/22 Chapter 1.1 in Sipser 1 Last time Thery f cmputatin Autmata Thery Cmputability Thery Cmplexity Thery Finite autmata Pushdwn autmata Turing machines 2 Outline fr tday Finite autmata
More informationChapter Summary. Mathematical Induction Strong Induction Recursive Definitions Structural Induction Recursive Algorithms
Chapter 5 1 Chapter Summary Mathematical Inductin Strng Inductin Recursive Definitins Structural Inductin Recursive Algrithms Sectin 5.1 3 Sectin Summary Mathematical Inductin Examples f Prf by Mathematical
More informationIntro to Theory of Computation
Intro to Theory of Computation LECTURE 14 Last time Turing Machine Variants Church-Turing Thesis Today Universal TM Decidable languages Designing deciders Sofya Raskhodnikova 3/1/2016 Sofya Raskhodnikova;
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 informationTuring Machines. Human-aware Robotics. 2017/10/17 & 19 Chapter 3.2 & 3.3 in Sipser Ø Announcement:
Turing Machines Human-aware Rbtics 2017/10/17 & 19 Chapter 3.2 & 3.3 in Sipser Ø Annuncement: q q q q Slides fr this lecture are here: http://www.public.asu.edu/~yzhan442/teaching/cse355/lectures/tm-ii.pdf
More informationMore Properties of Regular Languages
More Properties of Regular anguages 1 We have proven Regular languages are closed under: Union Concatenation Star operation Reverse 2 Namely, for regular languages 1 and 2 : Union 1 2 Concatenation Star
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 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 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 information6.8 The Post Correspondence Problem
6.8. THE POST CORRESPONDENCE PROBLEM 423 6.8 The Post Correspondence Problem The Post correspondence problem (due to Emil Post) is another undecidable problem that turns out to be a very helpful tool for
More information1. Provide two valid strings in the languages described by each of the following regular expressions, with alphabet Σ = {0,1,2}.
1. Provide two valid strings in the languages described by each of the following regular expressions, with alphabet Σ = {0,1,2}. (a) 0(010) 1 (b) (21 10) 0012 Examples: 001, 001222, 21001, 10001, 210012,
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 informationWhat languages are Turing-decidable? What languages are not Turing-decidable? Is there a language that isn t even Turingrecognizable?
} We ll now take a look at Turing Machines at a high level and consider what types of problems can be solved algorithmically and what types can t: What languages are Turing-decidable? What languages are
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 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 3.3, 4.1 State and use the Church-Turing thesis. Give examples of decidable problems.
More information60-354, 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 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 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 informationComputational 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 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 information(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 informationFinite Automata Theory and Formal Languages TMV026/TMV027/DIT321 Responsible: Ana Bove
Finite Automata Theory and Formal Languages TMV026/TMV027/DIT321 Responsible: Ana Bove Tuesday 28 of May 2013 Total: 60 points TMV027/DIT321 registration VT13 TMV026/DIT321 registration before VT13 Exam
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 informationReducability. Sipser, pages
Reducability Sipser, pages 187-214 Reduction Reduction encodes (transforms) one problem as a second problem. A solution to the second, can be transformed into a solution to the first. We expect both transformations
More informationTheoretical Computer Science
Theoretical Computer Science Zdeněk Sawa Department of Computer Science, FEI, Technical University of Ostrava 17. listopadu 15, Ostrava-Poruba 708 33 Czech republic September 22, 2017 Z. Sawa (TU Ostrava)
More informationChapter 6: NFA Applications
Chapter 6: NFA Applications Implementing NFAs The problem with implementing NFAs is that, being nondeterministic, they define a more complex computational procedure for testing language membership. To
More informationFinite Universes. L is a fixed-length language if it has length n for some
Finite Universes Finite Universes When the universe is finite (e.g., the interval 0, 2 1 ), all objects can be encoded by words of the same length. A language L has length n 0 if L =, or every word of
More informationCS F-15 Undecidiability 1
CS411-2015F-15 Undecidiability 1 15-0: Univeral TM Turing Machine are Hard Wired Addition machine only add 0 n 1 n 2 n machine only determine if a tring i in the language0 n 1 n 2 n Have een one Programmable
More informationINSTITUTE OF AERONAUTICAL ENGINEERING
INSTITUTE OF AERONAUTICAL ENGINEERING DUNDIGAL 500 043, HYDERABAD COMPUTER SCIENCE AND ENGINEERING TUTORIAL QUESTION BANK Course Name : FORMAL LANGUAGES AND AUTOMATA THEORY Course Code : A40509 Class :
More informationAC68 FINITE AUTOMATA & FORMULA LANGUAGES JUNE 2014
Q.2 a. Show by using Mathematical Induction that n i= 1 i 2 n = ( n + 1) ( 2 n + 1) 6 b. Define language. Let = {0; 1} denote an alphabet. Enumerate five elements of the following languages: (i) Even binary
More informationCPS 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 informationTheory Bridge Exam Example Questions
Theory Bridge Exam Example Questions Annotated version with some (sometimes rather sketchy) answers and notes. This is a collection of sample theory bridge exam questions. This is just to get some idea
More informationDecidable and undecidable languages
The Chinese University of Hong Kong Fall 2011 CSCI 3130: Formal languages and automata theory Decidable and undecidable languages Andrej Bogdanov http://www.cse.cuhk.edu.hk/~andrejb/csc3130 Problems about
More informationEinführung 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 informationMapping Reducibility. Human-aware Robotics. 2017/11/16 Chapter 5.3 in Sipser Ø Announcement:
Mapping Reducibility 2017/11/16 Chapter 5.3 in Sipser Ø Announcement: q Slides for this lecture are here: http://www.public.asu.edu/~yzhan442/teaching/cse355/lectures/mapping.pdf 1 Last time Reducibility
More informationParsing Regular Expressions and Regular Grammars
Regular Expressions and Regular Grammars Laura Heinrich-Heine-Universität Düsseldorf Sommersemester 2011 Regular Expressions (1) Let Σ be an alphabet The set of regular expressions over Σ is recursively
More informationLet P(n) be a statement about a non-negative integer n. Then the principle of mathematical induction is that P(n) follows from
1. Define automata? ANNA UNIVERSITY, CHENNAI B.E/B.Tech DEGREE EXAMINATION APR/MAY 2008 Fifth Semester Computer Science and Engineering CS1303-Theory of Computation Part-A An automaton is an abstract computing
More informationExam 1 CSU 390 Theory of Computation Fall 2007
Exam 1 CSU 390 Theory of Computation Fall 2007 Solutions Problem 1 [10 points] Construct a state transition diagram for a DFA that recognizes the following language over the alphabet Σ = {a, b}: L 1 =
More informationAutomata Theory CS F-04 Non-Determinisitic Finite Automata
Automata Theory CS411-2015F-04 Non-Determinisitic Finite Automata David Galles Department of Computer Science University of San Francisco 04-0: Non-Determinism A Deterministic Finite Automata s transition
More informationFinite Automata Theory and Formal Languages TMV027/DIT321 LP4 2018
Finite Automata Theory and Formal Languages TMV027/DIT321 LP4 2018 Lecture 14 Ana Bove May 14th 2018 Recap: Context-free Grammars Simplification of grammars: Elimination of ǫ-productions; Elimination of
More informationLecture 11 Context-Free Languages
Lecture 11 Context-Free Languages COT 4420 Theory of Computation Chapter 5 Context-Free Languages n { a b : n n { ww } 0} R Regular Languages a *b* ( a + b) * Example 1 G = ({S}, {a, b}, S, P) Derivations:
More informationVTU QUESTION BANK. Unit 1. Introduction to Finite Automata. 1. Obtain DFAs to accept strings of a s and b s having exactly one a.
VTU QUESTION BANK Unit 1 Introduction to Finite Automata 1. Obtain DFAs to accept strings of a s and b s having exactly one a.(5m )( Dec-2014) 2. Obtain a DFA to accept strings of a s and b s having even
More informationCSCI 2200 Foundations of Computer Science Spring 2018 Quiz 3 (May 2, 2018) SOLUTIONS
CSCI 2200 Foundations of Computer Science Spring 2018 Quiz 3 (May 2, 2018) SOLUTIONS 1. [6 POINTS] For language L 1 = {0 n 1 m n, m 1, m n}, which string is in L 1? ANSWER: 0001111 is in L 1 (with n =
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 informationCSE 105 THEORY OF COMPUTATION. Spring 2018 review class
CSE 105 THEORY OF COMPUTATION Spring 2018 review class Today's learning goals Summarize key concepts, ideas, themes from CSE 105. Approach your final exam studying with confidence. Identify areas to focus
More informationDeterministic 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 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 informationMidterm Exam 2 CS 341: Foundations of Computer Science II Fall 2018, face-to-face day section Prof. Marvin K. Nakayama
Midterm Exam 2 CS 341: Foundations of Computer Science II Fall 2018, face-to-face day section Prof. Marvin K. Nakayama Print family (or last) name: Print given (or first) name: I have read and understand
More informationFORMAL LANGUAGES, AUTOMATA AND COMPUTABILITY
15-453 FORMAL LANGUAGES, AUTOMATA AND COMPUTABILITY Chomsky Normal Form and TURING MACHINES TUESDAY Feb 4 CHOMSKY NORMAL FORM A context-free grammar is in Chomsky normal form if every rule is of the form:
More informationWhat is this course about?
What is this course about? Examining the power of an abstract machine What can this box of tricks do? What is this course about? Examining the power of an abstract machine Domains of discourse: automata
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 informationFall, 2017 CIS 262. Automata, Computability and Complexity Jean Gallier Solutions of the Practice Final Exam
Fall, 2017 CIS 262 Automata, Computability and Complexity Jean Gallier Solutions of the Practice Final Exam December 6, 2017 Problem 1 (10 pts). Let Σ be an alphabet. (1) What is an ambiguous context-free
More informationFormal Languages and Automata
Formal Languages and Automata 5 lectures for 2016-17 Computer Science Tripos Part IA Discrete Mathematics by Ian Leslie c 2014,2015 AM Pitts; 2016,2017 IM Leslie (minor tweaks) What is this course about?
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 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 information(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 informationPushdown 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 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 informationChap. 4,5 Review. Algorithms created in proofs from prior chapters
Chap. 4,5 Review Algorithms created in proofs from prior chapters (p. 55) Theorem 1.39: NFA to DFA (p. 67) Lemma 1.55: Regex to NFA (p. 69) Lemma 1.60: DFA to regex (through GNFA) (p. 112) Lemma 2.21:
More informationChapter 3: Cluster Analysis
Chapter 3: Cluster Analysis } 3.1 Basic Cncepts f Clustering 3.1.1 Cluster Analysis 3.1. Clustering Categries } 3. Partitining Methds 3..1 The principle 3.. K-Means Methd 3..3 K-Medids Methd 3..4 CLARA
More informationThe Post Correspondence Problem; Applications to Undecidability Results
Chapter 8 The Post Correspondence Problem; Applications to Undecidability Results 8.1 The Post Correspondence Problem The Post correspondence problem (due to Emil Post) is another undecidable problem that
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 4.2 Trace high-level descriptions of algorithms for computational problems. Use
More information2.1 Solution. E T F a. E E + T T + T F + T a + T a + F a + a
. Solution E T F a E E + T T + T F + T a + T a + F a + a E E + T E + T + T T + T + T F + T + T a + T + T a + F + T a + a + T a + a + F a + a + a E T F ( E) ( T ) ( F) (( E)) (( T )) (( F)) (( a)) . Solution
More informationIntro to Theory of Computation
Intro to Theory of Computation LECTURE 15 Last time Decidable languages Designing deciders Today Designing deciders Undecidable languages Diagonalization Sofya Raskhodnikova 3/1/2016 Sofya Raskhodnikova;
More informationContext Free Languages. Automata Theory and Formal Grammars: Lecture 6. Languages That Are Not Regular. Non-Regular Languages
Context Free Languages Automata Theory and Formal Grammars: Lecture 6 Context Free Languages Last Time Decision procedures for FAs Minimum-state DFAs Today The Myhill-Nerode Theorem The Pumping Lemma Context-free
More informationCSE 311: Foundations of Computing. Lecture 23: Finite State Machine Minimization & NFAs
CSE : Foundations of Computing Lecture : Finite State Machine Minimization & NFAs State Minimization Many different FSMs (DFAs) for the same problem Take a given FSM and try to reduce its state set by
More informationECS 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 informationCSE 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 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 informationChomsky Normal Form and TURING MACHINES. TUESDAY Feb 4
Chomsky Normal Form and TURING MACHINES TUESDAY Feb 4 CHOMSKY NORMAL FORM A context-free grammar is in Chomsky normal form if every rule is of the form: A BC A a S ε B and C aren t start variables a is
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 informationCDM Parsing and Decidability
CDM Parsing and Decidability 1 Parsing Klaus Sutner Carnegie Mellon Universality 65-parsing 2017/12/15 23:17 CFGs and Decidability Pushdown Automata The Recognition Problem 3 What Could Go Wrong? 4 Problem:
More informationIntro to Theory of Computation
Intro to Theory of Computation LECTURE 9 Last time: Converting a PDA to a CFG Pumping Lemma for CFLs Today: Pumping Lemma for CFLs Review of CFGs/PDAs Sofya Raskhodnikova 2/9/2016 Sofya Raskhodnikova;
More informationRegents Chemistry Period Unit 3: Atomic Structure. Unit 3 Vocabulary..Due: Test Day
Name Skills: 1. Interpreting Mdels f the Atm 2. Determining the number f subatmic particles 3. Determine P, e-, n fr ins 4. Distinguish istpes frm ther atms/ins Regents Chemistry Perid Unit 3: Atmic Structure
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 Summarize key concepts, ideas, themes from CSE 105. Approach your final exam studying with
More informationSection 14.1 Computability then else
Section 14.1 Computability Some problems cannot be solved by any machine/algorithm. To prove such statements we need to effectively describe all possible algorithms. Example (Turing machines). Associate
More informationCSE 355 Homework Two Solutions
CSE 355 Homework Two Solution Due 2 Octoer 23, tart o cla Pleae note that there i more than one way to anwer mot o thee quetion. The ollowing only repreent a ample olution. () Let M e the DFA with tranition
More informationCpSc 421 Final Exam December 15, 2006
CpSc 421 Final Exam December 15, 2006 Do problem zero and six of problems 1 through 9. If you write down solutions for more that six problems, clearly indicate those that you want graded. Note that problems
More informationApplication Of Mealy Machine And Recurrence Relations In Cryptography
Applicatin Of Mealy Machine And Recurrence Relatins In Cryptgraphy P. A. Jytirmie 1, A. Chandra Sekhar 2, S. Uma Devi 3 1 Department f Engineering Mathematics, Andhra University, Visakhapatnam, IDIA 2
More informationRecap from Last Time
Regular Expressions Recap from Last Time Regular Languages A language L is a regular language if there is a DFA D such that L( D) = L. Theorem: The following are equivalent: L is a regular language. There
More informationThe machines in the exercise work as follows:
Tik-79.148 Spring 2001 Introduction to Theoretical Computer Science Tutorial 9 Solution to Demontration Exercie 4. Contructing a complex Turing machine can be very laboriou. With the help of machine chema
More informationSolution Scoring: SD Reg exp.: a(a
MA/CSSE 474 Exam 3 Winter 2013-14 Name Solution_with explanations Section: 02(3 rd ) 03(4 th ) 1. (28 points) For each of the following statements, circle T or F to indicate whether it is True or False.
More informationForeword. Grammatical inference. Examples of sequences. Sources. Example of problems expressed by sequences Switching the light
Foreword Vincent Claveau IRISA - CNRS Rennes, France In the course of the course supervised symbolic machine learning technique concept learning (i.e. 2 classes) INSA 4 Sources s of sequences Slides and
More informationLecture 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 informationSection 1 (closed-book) Total points 30
CS 454 Theory of Computation Fall 2011 Section 1 (closed-book) Total points 30 1. Which of the following are true? (a) a PDA can always be converted to an equivalent PDA that at each step pops or pushes
More informationNote: In any grammar here, the meaning and usage of P (productions) is equivalent to R (rules).
Note: In any grammar here, the meaning and usage of P (productions) is equivalent to R (rules). 1a) G = ({R, S, T}, {0,1}, P, S) where P is: S R0R R R0R1R R1R0R T T 0T ε (S generates the first 0. R generates
More informationContext 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 informationV Honors Theory of Computation
V22.0453-001 Honors Theory of Computation Problem Set 3 Solutions Problem 1 Solution: The class of languages recognized by these machines is the exactly the class of regular languages, thus this TM variant
More informationContext-Free Grammars. 2IT70 Finite Automata and Process Theory
Context-Free Grammars 2IT70 Finite Automata and Process Theory Technische Universiteit Eindhoven May 18, 2016 Generating strings language L 1 = {a n b n n > 0} ab L 1 if w L 1 then awb L 1 production rules
More informationCOMP/MATH 300 Topics for Spring 2017 June 5, Review and Regular Languages
COMP/MATH 300 Topics for Spring 2017 June 5, 2017 Review and Regular Languages Exam I I. Introductory and review information from Chapter 0 II. Problems and Languages A. Computable problems can be expressed
More informationNODIA 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 informationFunctions on languages:
MA/CSSE 474 Final Exam Notation and Formulas page Name (turn this in with your exam) Unless specified otherwise, r,s,t,u,v,w,x,y,z are strings over alphabet Σ; while a, b, c, d are individual alphabet
More informationAn automaton with a finite number of states is called a Finite Automaton (FA) or Finite State Machine (FSM).
Automata The term "Automata" is derived from the Greek word "αὐτόματα" which means "self-acting". An automaton (Automata in plural) is an abstract self-propelled computing device which follows a predetermined
More information5/10/16. Grammar. Automata and Languages. Today s Topics. Grammars Definition A grammar G is defined as G = (V, T, P, S) where:
Grammar Automata and Languages Grammar Prof. Mohamed Hamada oftware Engineering Lab. The University of Aizu Japan Regular Grammar Context-free Grammar Context-sensitive Grammar Left-linear Grammar right-linear
More informationTheory 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 informationacs-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 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 informationPush-Down Automata and Context-Free Languages
Chapter 3 Push-Down Automata and Context-Free Languages In the previous chapter, we studied finite automata, modeling computers without memory. In the next chapter, we study a general model of computers
More information