Positive Properties of Context-Free languages

Size: px
Start display at page:

Download "Positive Properties of Context-Free languages"

Transcription

1 CS 30 - Leture 8 Properties of Cotext Free Graars Fall 008 Review Laguages ad Graars Alphabets, strigs, laguages Regular Laguages Deteriisti Fiite ad Nodeteriisti Autoata Equivalee of NFA ad DFA Regular Expressios Regular Graars Properties of Regular Laguages Laguages that are ot regular ad the pupig lea Cotext Free Laguages Cotext Free Graars Derivatios: leftost, rightost ad derivatio trees Parsig ad abiguity Siplifiatios ad Noral Fors Nodeteriisti Pushdow Autoata Pushdow Autoata ad Cotext Free Graars Deteriisti Pushdow Autoata Pupig Lea for Cotext Free Graars Today: Closure ad Deidable Properties for Cotext Free Laguages Uio Positive Properties of Cotext-Free laguages L L is otext free is otext free Cotext-free laguages are losed uder: Uio L L is otext-free

2 Exaple I geeral: Laguage b Graar S as b λ For otext-free laguages with otext-free graars ad start variables L, L G, G S, S L = { ww R Uio R b { ww S as a bsb S S S λ The graar of the uio has ew start variable L L S S S S ad additioal produtio Coateatio Cotext-free laguages are losed uder: Coateatio Laguage b Exaple Graar S as b λ L is otext free L = { ww R S as a bsb λ L is otext free L L is otext-free Coateatio R b { ww S S S

3 I geeral: For otext-free laguages with otext-free graars ad start variables L, L G, G S, S Star Operatio Cotext-free laguages are losed uder: Star-operatio The graar of the oateatio has ew start variable S ad additioal produtio S S S L L L is otext free * L is otext-free Exaple I geeral: Laguage b Graar S asb λ For otext-free laguage with otext-free graar ad start variable L G S b Star Operatio * S SS λ The graar of the star operatio has ew start variable S ad additioal produtio L* S SS λ 3

4 Itersetio Negative Properties of Cotext-Free Laguages L Cotext-free laguages are ot losed uder: is otext free itersetio L L L is otext free ot eessarily otext-free b Exaple Cotext-free: Cotext-free: b S AC S AB A aab λ A aa λ C C λ B bb λ L b Itersetio NOT otext-free Copleet Cotext-free laguages are ot losed uder: opleet L is otext free L ot eessarily otext-free 4

5 b Exaple Cotext-free: Cotext-free: Copleet NOT otext-free L L = L b b S AC S AB A aab λ A aa λ C C λ B bb λ Itersetio of Cotext-free laguages ad Regular Laguages The itersetio of a otext-free laguage ad a regular laguage is a otext-free laguage ahie ahie for L DFA for otext-free regular L L L otext free regular L L otext-free Costrut a ew ahie that aepts L L siulates i parallel ad 5

6 DFA a, b q q a p p trasitio trasitio DFA λ, b q q p trasitio q, p a, b q, p q, p λ, b q, p trasitio trasitio DFA DFA q 0 p 0 q p p iitial state iitial state fial state fial states q 0, p 0 q, p q, p Iitial state fial states 6

7 Exaple: otext-free * * L = { w w : w = w, w { a, b, w {, d regular * L = { a, DFA a, λ b, λ, λ d, λ a, q λ, λ λ λ, λ λ λ, λ λ 0 q q q3 p 0 otext-free Autoato for: L L = { a : 0 a, λ, λ λ, λ λ λ, λ λ λ, λ λ q0, p 0 q, p 0 q, p0 q 3, p 0 I Geeral: siulates i parallel ad aepts strig w aepts strig if ad oly if w aepts strig w ad L( ) = L( ) L( ) 7

8 Therefore: is L( ) L( ) is otext-free Appliatios of Regular Closure L L is otext-free The itersetio of a otext-free laguage ad a regular laguage is a otext-free laguage A Appliatio of Regular Closure Prove that: b : 00, 0 L L otext free regular Regular Closure L L otext-free is otext-free 8

9 We kow: We also kow: { a b : 0 is otext-free L = { a b is regular * b L = {( a + b) { a is regular { a b otext-free (regular losure) 00 L = {( a + b) { a b { a b L * 00 regular otext-free Aother Appliatio of Regular Closure Prove that: L = { w: a = b = is ot otext-free { a b L = { a b : 00, 0 = L is otext-free 9

10 If L = { w: a = b = is otext-free The (regular losure) L { a * b* * = { a b otext-free regular otext-free Ipossible!!! Deidable Properties of Cotext-Free Laguages Therefore, L is ot otext free ebership Questio: for otext-free graar fid if strig w L(G) G Epty Laguage Questio: for otext-free graar fid if L(G) = G ebership Algoriths: Parsers Exhaustive searh parser CYK parsig algorith Algorith:. Reove useless variables. Chek if start variable is useless S 0

11 Ifiite Laguage Questio: Algorith: for otext-free graar fid if is ifiite L(G). Reove useless variables. Reove uit ad produtios λ 3. Create depedey graph for variables 4. If there is a loop i the depedey graph the the laguage is ifiite G Exaple: S AB A acb a B bb bb C BS Depedey graph A S B Ifiite laguage C S AB A acb a B bb bb C BS S AB acbb absbb abbsbbb S abbsbbb ( abb) ( abb) i S( bbb) i S( bbb) Read What s Next Liz Chapter,.,.,.3, (skip.4), 3, 4, 5, 6., 6., (skip 6.3), 7., 7., 7.3, (skip 7.4), 8, ad 9. JFLAP Chapter,., (skip.), 3, 4, 5, 6, 7, (skip 8), 9., 9. Next Leture Topis Fro 9. Turig ahies Quiz 3 i Reitatio o Wedesday / Covers Liz 7., 7., 7.3, (skip 7.4), 8, ad JFLAP 5,6,7 Closed book, but you ay brig oe sheet of 8.5 x ih paper with ay otes you like. Quiz will take the full hour Hoework Hoework Due Today New Hoework Available Friday New Hoework Due Next Thursday

A Turing Machine. The Tape. Languages accepted by Turing Machines. Tape... Read-Write head. Context-Free n Languages. Control Unit.

A Turing Machine. The Tape. Languages accepted by Turing Machines. Tape... Read-Write head. Context-Free n Languages. Control Unit. CS 30 - ecture 9 Turig Machies Fall 2008 eview aguages ad Grammars Alphaets, strigs, laguages egular aguages Determiistic Fiite ad Nodetermiistic Automata Equivalece of NFA ad DFA ad Miimizig a DFA egular

More information

CSE303 Q4 SOLUTIONS. YES/NO questions 1. The set of terminals is always non- empty

CSE303 Q4 SOLUTIONS. YES/NO questions 1. The set of terminals is always non- empty CSE303 Q4 SOLUTIONS YES/NO questios 1. The set of termials is alwas o- empt Justif: Fiite set ca be empt 2. L(G) = {w V : S Gw} Justif: w Σ 3. A regular laguage is cotext-free Justif: 1. A Fiite Automata

More information

CD5080 AUBER RECAPITULATION. Context-Free Languages. Models of Computation, Languages and Automata. S asb. S bsb

CD5080 AUBER RECAPITULATION. Context-Free Languages. Models of Computation, Languages and Automata. S asb. S bsb CD5080 AUBR RCAPIULAION Models of Coputtio, Lguges d Autot Leture 1 Cotext-ree Lguges, CL Pushdow Autot, PDA Pupig Le for CL eleted CL Proles Cotext-ree Lguges Mälrdle Uiversity 00 1 3 Cotext-ree Lguges

More information

PRACTICE FINAL SOLUTIONS

PRACTICE FINAL SOLUTIONS CSE 303 PRACTICE FINAL SOLUTIONS FOR FINAL stud Practice Fial (mius PUMPING LEMMA ad Turig Machies) ad Problems from Q1 Q4, Practice Q1 Q4, ad Midterm ad Practice midterm. I will choose some of these problems

More information

Applications of Regular Closure

Applications of Regular Closure Applictios of Regulr Closure 1 The itersectio of cotext-free lguge d regulr lguge is cotext-free lguge L1 L2 cotext free regulr Regulr Closure L1 L 2 cotext-free 2 Liz 6 th, sectio 8.2, exple 8.7, pge

More information

Context-free grammars and. Basics of string generation methods

Context-free grammars and. Basics of string generation methods Cotext-free grammars ad laguages Basics of strig geeratio methods What s so great about regular expressios? A regular expressio is a strig represetatio of a regular laguage This allows the storig a whole

More information

Properties of Regular Languages. Reading: Chapter 4

Properties of Regular Languages. Reading: Chapter 4 Properties of Regular Laguages Readig: Chapter 4 Topics ) How to prove whether a give laguage is regular or ot? 2) Closure properties of regular laguages 3) Miimizatio of DFAs 2 Some laguages are ot regular

More information

2017 PRACTICE MIDTERM SOLUTIONS

2017 PRACTICE MIDTERM SOLUTIONS CSE303 2017 PRACTICE MIDTERM SOLUTIONS 1 YES/NO questios 1. For a biar relatio R A A, R exists. Justif: defiitio 2. For a biar relatio R A A, R 1 exists. Justif: The set R 1 = {(b, a) : (a, b) R} alwas

More information

CS375 Midterm Exam Solution Set (Fall 2017)

CS375 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

Computability and computational complexity

Computability and computational complexity Computability ad computatioal complexity Lecture 4: Uiversal Turig machies. Udecidability Io Petre Computer Sciece, Åbo Akademi Uiversity Fall 2015 http://users.abo.fi/ipetre/computability/ 21. toukokuu

More information

Automata Theory CS F-08 Context-Free Grammars

Automata Theory CS F-08 Context-Free Grammars Automata Theory CS411-2015F-08 Context-Free Grammars David Galles Department of Computer Science University of San Francisco 08-0: Context-Free Grammars Set of Terminals (Σ) Set of Non-Terminals Set of

More information

Review of CFGs and Parsing I Context-free Languages and Grammars. Winter 2014 Costas Busch - RPI 1

Review of CFGs and Parsing I Context-free Languages and Grammars. Winter 2014 Costas Busch - RPI 1 Review of CFGs d Prsig I Cotext-free Lguges d Grmmrs Witer 2014 Costs Busch - RPI 1 Cotext-Free Lguges { b : { ww } 0} R Regulr Lguges *b* ( b) * Witer 2014 Costs Busch - RPI 2 Cotext-Free Lguges Cotext-Free

More information

Finite Automata. Reading: Chapter 2

Finite Automata. Reading: Chapter 2 Fiite Automata Readig: Chapter 2 Fiite Automato (FA) Iformally, a state diagram that comprehesively captures all possible states ad trasitios that a machie ca take while respodig to a stream or sequece

More information

Homework 4 Solutions. 2. Find context-free grammars for the language L = {a n b m c k : k n + m}. (with n 0,

Homework 4 Solutions. 2. Find context-free grammars for the language L = {a n b m c k : k n + m}. (with n 0, Introduction to Formal Language, Fall 2016 Due: 21-Apr-2016 (Thursday) Instructor: Prof. Wen-Guey Tzeng Homework 4 Solutions Scribe: Yi-Ruei Chen 1. Find context-free grammars for the language L = {a n

More information

Quiz No. 1. ln n n. 1. Define: an infinite sequence A function whose domain is N 2. Define: a convergent sequence A sequence that has a limit

Quiz No. 1. ln n n. 1. Define: an infinite sequence A function whose domain is N 2. Define: a convergent sequence A sequence that has a limit Quiz No.. Defie: a ifiite sequece A fuctio whose domai is N 2. Defie: a coverget sequece A sequece that has a limit 3. Is this sequece coverget? Why or why ot? l Yes, it is coverget sice L=0 by LHR. INFINITE

More information

Sigma notation. 2.1 Introduction

Sigma notation. 2.1 Introduction Sigma otatio. Itroductio We use sigma otatio to idicate the summatio process whe we have several (or ifiitely may) terms to add up. You may have see sigma otatio i earlier courses. It is used to idicate

More information

Introduction to Automata Theory. Reading: Chapter 1

Introduction to Automata Theory. Reading: Chapter 1 Itroductio to Automata Theory Readig: Chapter 1 1 What is Automata Theory? Study of abstract computig devices, or machies Automato = a abstract computig device Note: A device eed ot eve be a physical hardware!

More information

Today in Physics 217: separation of variables IV

Today in Physics 217: separation of variables IV Today i Physics 27: separatio of variables IV Separatio i cylidrical coordiates Exaple of the split cylider (solutio sketched at right) More o orthogoality of trig fuctios ad Fourier s trick V = V V =

More information

Announcements, Nov. 19 th

Announcements, Nov. 19 th Aoucemets, Nov. 9 th Lecture PRS Quiz topic: results Chemical through Kietics July 9 are posted o the course website. Chec agaist Kietics LabChec agaist Kietics Lab O Fial Exam, NOT 3 Review Exam 3 ad

More information

Math 25 Solutions to practice problems

Math 25 Solutions to practice problems Math 5: Advaced Calculus UC Davis, Sprig 0 Math 5 Solutios to practice problems Questio For = 0,,, 3,... ad 0 k defie umbers C k C k =! k!( k)! (for k = 0 ad k = we defie C 0 = C = ). by = ( )... ( k +

More information

Worksheet on Generating Functions

Worksheet on Generating Functions Worksheet o Geeratig Fuctios October 26, 205 This worksheet is adapted from otes/exercises by Nat Thiem. Derivatives of Geeratig Fuctios. If the sequece a 0, a, a 2,... has ordiary geeratig fuctio A(x,

More information

Course 8 Properties of Regular Languages

Course 8 Properties of Regular Languages Course 8 Properties of Regular Laguages The structure ad the cotet of the lecture is based o http://www.eecs.wsu.edu/~aath/cpts37/lectures/idex.htm Topics ) How to prove whether a give laguage is ot regular?

More information

Namely, for regular languages L1. Concatenation. Regular Languages. Star operation L 1. Complement. For regular language L the complement L is regular

Namely, for regular languages L1. Concatenation. Regular Languages. Star operation L 1. Complement. For regular language L the complement L is regular CD5560 FABER For guges, Autot d Modes of Coputtio eture 5 Märde Uiversit 2003 Cotet More Properties of Regur guges (R) Stdrd Represettios of R Eeetr Questios out R No-Regur guges The Pigeohoe Priipe The

More information

CS 154 Formal Languages and Computability Assignment #2 Solutions

CS 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 information

Formal Languages The Pumping Lemma for CFLs

Formal Languages The Pumping Lemma for CFLs Forl Lguges The Pupig Le for CFLs Review: pupig le for regulr lguges Tke ifiite cotext-free lguge Geertes ifiite uer of differet strigs Exple: 3 I derivtio of log strig, vriles re repeted derivtio: 4 Derivtio

More information

Automata Theory Final Exam Solution 08:10-10:00 am Friday, June 13, 2008

Automata Theory Final Exam Solution 08:10-10:00 am Friday, June 13, 2008 Automata Theory Final Exam Solution 08:10-10:00 am Friday, June 13, 2008 Name: ID #: This is a Close Book examination. Only an A4 cheating sheet belonging to you is acceptable. You can write your answers

More information

1. (a) Explain the procedure to convert Context Free Grammar to Push Down Automata.

1. (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 information

A string of not-so-obvious statements about correlation in the data. (This refers to the mechanical calculation of correlation in the data.

A string of not-so-obvious statements about correlation in the data. (This refers to the mechanical calculation of correlation in the data. STAT-UB.003 NOTES for Wedesday 0.MAY.0 We will use the file JulieApartet.tw. We ll give the regressio of Price o SqFt, show residual versus fitted plot, save residuals ad fitted. Give plot of (Resid, Price,

More information

Lecture 11 Context-Free Languages

Lecture 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 information

CS Lecture 28 P, NP, and NP-Completeness. Fall 2008

CS 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 information

Simplification of CFG and Normal Forms. Wen-Guey Tzeng Computer Science Department National Chiao Tung University

Simplification of CFG and Normal Forms. Wen-Guey Tzeng Computer Science Department National Chiao Tung University Simplification of CFG and Normal Forms Wen-Guey Tzeng Computer Science Department National Chiao Tung University Normal Forms We want a cfg with either Chomsky or Greibach normal form Chomsky normal form

More information

Simplification of CFG and Normal Forms. Wen-Guey Tzeng Computer Science Department National Chiao Tung University

Simplification of CFG and Normal Forms. Wen-Guey Tzeng Computer Science Department National Chiao Tung University Simplification of CFG and Normal Forms Wen-Guey Tzeng Computer Science Department National Chiao Tung University Normal Forms We want a cfg with either Chomsky or Greibach normal form Chomsky normal form

More information

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.

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. 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 information

SECTION 1.5 : SUMMATION NOTATION + WORK WITH SEQUENCES

SECTION 1.5 : SUMMATION NOTATION + WORK WITH SEQUENCES SECTION 1.5 : SUMMATION NOTATION + WORK WITH SEQUENCES Read Sectio 1.5 (pages 5 9) Overview I Sectio 1.5 we lear to work with summatio otatio ad formulas. We will also itroduce a brief overview of sequeces,

More information

Recitation 4: Converting Grammars to Chomsky Normal Form, Simulation of Context Free Languages with Push-Down Automata, Semirings

Recitation 4: Converting Grammars to Chomsky Normal Form, Simulation of Context Free Languages with Push-Down Automata, Semirings Recitation 4: Converting Grammars to Chomsky Normal Form, Simulation of Context Free Languages with Push-Down Automata, Semirings 11-711: Algorithms for NLP October 10, 2014 Conversion to CNF Example grammar

More information

CS Lecture 29 P, NP, and NP-Completeness. k ) for all k. Fall The class P. The class NP

CS 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 information

6.4 Binomial Coefficients

6.4 Binomial Coefficients 64 Bioial Coefficiets Pascal s Forula Pascal s forula, aed after the seveteeth-cetury Frech atheaticia ad philosopher Blaise Pascal, is oe of the ost faous ad useful i cobiatorics (which is the foral ter

More information

42 Dependence and Bases

42 Dependence and Bases 42 Depedece ad Bases The spa s(a) of a subset A i vector space V is a subspace of V. This spa ay be the whole vector space V (we say the A spas V). I this paragraph we study subsets A of V which spa V

More information

Grammars and Context Free Languages

Grammars and Context Free Languages Grammars and Context Free Languages H. Geuvers and A. Kissinger Institute for Computing and Information Sciences Version: fall 2015 H. Geuvers & A. Kissinger Version: fall 2015 Talen en Automaten 1 / 23

More information

CS A Term 2009: Foundations of Computer Science. Homework 2. By Li Feng, Shweta Srivastava, and Carolina Ruiz.

CS A Term 2009: Foundations of Computer Science. Homework 2. By Li Feng, Shweta Srivastava, and Carolina Ruiz. CS3133 - A Term 2009: Foundations of Computer Science Prof. Carolina Ruiz Homework 2 WPI By Li Feng, Shweta Srivastava, and Carolina Ruiz Chapter 4 Problem 1: (10 Points) Exercise 4.3 Solution 1: S is

More information

Computability and computational complexity

Computability and computational complexity Computability ad computatioal complexity Lecture 12: O P vs NP Io Petre Computer Sciece, Åbo Akademi Uiversity Fall 2015 http://users.abo.fi/ipetre/computability/ December 9, 2015 http://users.abo.fi/ipetre/computability/

More information

Mathematical Description of Discrete-Time Signals. 9/10/16 M. J. Roberts - All Rights Reserved 1

Mathematical Description of Discrete-Time Signals. 9/10/16 M. J. Roberts - All Rights Reserved 1 Mathematical Descriptio of Discrete-Time Sigals 9/10/16 M. J. Roberts - All Rights Reserved 1 Samplig ad Discrete Time Samplig is the acquisitio of the values of a cotiuous-time sigal at discrete poits

More information

Solutions to Final Exam Review Problems

Solutions to Final Exam Review Problems . Let f(x) 4+x. Solutios to Fial Exam Review Problems Math 5C, Witer 2007 (a) Fid the Maclauri series for f(x), ad compute its radius of covergece. Solutio. f(x) 4( ( x/4)) ( x/4) ( ) 4 4 + x. Sice the

More information

9.3 Power Series: Taylor & Maclaurin Series

9.3 Power Series: Taylor & Maclaurin Series 9.3 Power Series: Taylor & Maclauri Series If is a variable, the a ifiite series of the form 0 is called a power series (cetered at 0 ). a a a a a 0 1 0 is a power series cetered at a c a a c a c a c 0

More information

Applications in Linear Algebra and Uses of Technology

Applications in Linear Algebra and Uses of Technology 1 TI-89: Let A 1 4 5 6 7 8 10 Applicatios i Liear Algebra ad Uses of Techology,adB 4 1 1 4 type i: [1,,;4,5,6;7,8,10] press: STO type i: A type i: [4,-1;-1,4] press: STO (1) Row Echelo Form: MATH/matrix

More information

Section 11.8: Power Series

Section 11.8: Power Series Sectio 11.8: Power Series 1. Power Series I this sectio, we cosider geeralizig the cocept of a series. Recall that a series is a ifiite sum of umbers a. We ca talk about whether or ot it coverges ad i

More information

Statistics for Applications Fall Problem Set 7

Statistics for Applications Fall Problem Set 7 18.650. Statistics for Applicatios Fall 016. Proble Set 7 Due Friday, Oct. 8 at 1 oo Proble 1 QQ-plots Recall that the Laplace distributio with paraeter λ > 0 is the cotiuous probaλ bility easure with

More information

Web Appendix O - Derivations of the Properties of the z Transform

Web Appendix O - Derivations of the Properties of the z Transform M. J. Roberts - 2/18/07 Web Appedix O - Derivatios of the Properties of the z Trasform O.1 Liearity Let z = x + y where ad are costats. The ( z)= ( x + y )z = x z + y z ad the liearity property is O.2

More information

CS161: Algorithm Design and Analysis Handout #10 Stanford University Wednesday, 10 February 2016

CS161: Algorithm Design and Analysis Handout #10 Stanford University Wednesday, 10 February 2016 CS161: Algorithm Desig ad Aalysis Hadout #10 Staford Uiversity Wedesday, 10 February 2016 Lecture #11: Wedesday, 10 February 2016 Topics: Example midterm problems ad solutios from a log time ago Sprig

More information

Finite Automata Theory and Formal Languages TMV027/DIT321 LP4 2018

Finite 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 information

Lecture 12 Simplification of Context-Free Grammars and Normal Forms

Lecture 12 Simplification of Context-Free Grammars and Normal Forms Lecture 12 Simplification of Context-Free Grammars and Normal Forms COT 4420 Theory of Computation Chapter 6 Normal Forms for CFGs 1. Chomsky Normal Form CNF Productions of form A BC A, B, C V A a a T

More information

B = B is a 3 4 matrix; b 32 = 3 and b 2 4 = 3. Scalar Multiplication

B = B is a 3 4 matrix; b 32 = 3 and b 2 4 = 3. Scalar Multiplication MATH 37 Matrices Dr. Neal, WKU A m matrix A = (a i j ) is a array of m umbers arraged ito m rows ad colums, where a i j is the etry i the ith row, jth colum. The values m are called the dimesios (or size)

More information

MIXED REVIEW of Problem Solving

MIXED REVIEW of Problem Solving MIXED REVIEW of Problem Solvig STATE TEST PRACTICE classzoe.com Lessos 2.4 2.. MULTI-STEP PROBLEM A ball is dropped from a height of 2 feet. Each time the ball hits the groud, it bouces to 70% of its previous

More information

Honors Algebra 2 Summer Assignment

Honors Algebra 2 Summer Assignment Hoors Algera Summer Assigmet Dear Future Hoors Algera Studet, Cogratulatios o your erollmet i Hoors Algera! Below you will fid the summer assigmet questios. It is assumed that these cocepts, alog with

More information

Physical Chemistry I for Biochemists. Lecture 2 (1/12/11) Yoshitaka Ishii. Gas Ch. 1 Non-Ideal Gas (Ch 1 & Raff p21-41) Announcement

Physical Chemistry I for Biochemists. Lecture 2 (1/12/11) Yoshitaka Ishii. Gas Ch. 1 Non-Ideal Gas (Ch 1 & Raff p21-41) Announcement Physical Cheistry I for Biocheists Che340 Lecture (1/1/11) Yoshitaka Ishii Gas Ch. 1 No-Ideal Gas (Ch 1 & Raff p1-41) Aouceet HW 1 is due et Wedesday before the class (Fid HW1 at the web site) Attedace

More information

Grammars and Context Free Languages

Grammars and Context Free Languages Grammars and Context Free Languages H. Geuvers and J. Rot Institute for Computing and Information Sciences Version: fall 2016 H. Geuvers & J. Rot Version: fall 2016 Talen en Automaten 1 / 24 Outline Grammars

More information

Analytic Theory of Probabilities

Analytic Theory of Probabilities Aalytic Theory of Probabilities PS Laplace Book II Chapter II, 4 pp 94 03 4 A lottery beig composed of umbered tickets of which r exit at each drawig, oe requires the probability that after i drawigs all

More information

STK4011 and STK9011 Autumn 2016

STK4011 and STK9011 Autumn 2016 STK4 ad STK9 Autum 6 ypothesis testig Covers (most of) the followig material from hapter 8: Setio 8. Setios 8.. ad 8..3 Setio 8.3. Setio 8.3. (util defiitio 8.3.6) Ørulf Borga Departmet of Mathematis Uiversity

More information

If a subset E of R contains no open interval, is it of zero measure? For instance, is the set of irrationals in [0, 1] is of measure zero?

If a subset E of R contains no open interval, is it of zero measure? For instance, is the set of irrationals in [0, 1] is of measure zero? 2 Lebesgue Measure I Chapter 1 we defied the cocept of a set of measure zero, ad we have observed that every coutable set is of measure zero. Here are some atural questios: If a subset E of R cotais a

More information

Properties of Context-Free Languages

Properties of Context-Free Languages Properties of Context-Free Languages 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

More information

Chapter 8 Hypothesis Testing

Chapter 8 Hypothesis Testing Chapter 8 for BST 695: Speial Topis i Statistial Theory Kui Zhag, Chapter 8 Hypothesis Testig Setio 8 Itrodutio Defiitio 8 A hypothesis is a statemet about a populatio parameter Defiitio 8 The two omplemetary

More information

MEI STRUCTURED MATHEMATICS FURTHER CONCEPTS FOR ADVANCED MATHEMATICS, FP1. Practice Paper FP1-B

MEI STRUCTURED MATHEMATICS FURTHER CONCEPTS FOR ADVANCED MATHEMATICS, FP1. Practice Paper FP1-B MEI Mathematics i Educatio ad Idustry MEI STRUCTURED MATHEMATICS FURTHER CONCEPTS FOR ADVANCED MATHEMATICS, FP Practice Paper FP-B Additioal materials: Aswer booklet/paper Graph paper MEI Examiatio formulae

More information

COSE212: Programming Languages. Lecture 1 Inductive Definitions (1)

COSE212: Programming Languages. Lecture 1 Inductive Definitions (1) COSE212: Programming Languages Lecture 1 Inductive Definitions (1) Hakjoo Oh 2017 Fall Hakjoo Oh COSE212 2017 Fall, Lecture 1 September 4, 2017 1 / 9 Inductive Definitions Inductive definition (induction)

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

Concordia University Department of Computer Science & Software Engineering

Concordia University Department of Computer Science & Software Engineering Concordia University Department of Computer Science & Software Engineering COMP 335/4 Theoretical Computer Science Winter 2015 Assignment 3 1. In each case, what language is generated by CFG s below. Justify

More information

Ma/CS 6a Class 22: Power Series

Ma/CS 6a Class 22: Power Series Ma/CS 6a Class 22: Power Series By Ada Sheffer Power Series Mooial: ax i. Polyoial: a 0 + a 1 x + a 2 x 2 + + a x. Power series: A x = a 0 + a 1 x + a 2 x 2 + Also called foral power series, because we

More information

Ma 530 Introduction to Power Series

Ma 530 Introduction to Power Series Ma 530 Itroductio to Power Series Please ote that there is material o power series at Visual Calculus. Some of this material was used as part of the presetatio of the topics that follow. What is a Power

More information

Lecture 11: Pseudorandom functions

Lecture 11: Pseudorandom functions COM S 6830 Cryptography Oct 1, 2009 Istructor: Rafael Pass 1 Recap Lecture 11: Pseudoradom fuctios Scribe: Stefao Ermo Defiitio 1 (Ge, Ec, Dec) is a sigle message secure ecryptio scheme if for all uppt

More information

On Modeling On Minimum Description Length Modeling. M-closed

On Modeling On Minimum Description Length Modeling. M-closed O Modelig O Miiu Descriptio Legth Modelig M M-closed M-ope Do you believe that the data geeratig echais really is i your odel class M? 7 73 Miiu Descriptio Legth Priciple o-m-closed predictive iferece

More information

CS 70 Second Midterm 7 April NAME (1 pt): SID (1 pt): TA (1 pt): Name of Neighbor to your left (1 pt): Name of Neighbor to your right (1 pt):

CS 70 Second Midterm 7 April NAME (1 pt): SID (1 pt): TA (1 pt): Name of Neighbor to your left (1 pt): Name of Neighbor to your right (1 pt): CS 70 Secod Midter 7 April 2011 NAME (1 pt): SID (1 pt): TA (1 pt): Nae of Neighbor to your left (1 pt): Nae of Neighbor to your right (1 pt): Istructios: This is a closed book, closed calculator, closed

More information

Axioms of Measure Theory

Axioms of Measure Theory MATH 532 Axioms of Measure Theory Dr. Neal, WKU I. The Space Throughout the course, we shall let X deote a geeric o-empty set. I geeral, we shall ot assume that ay algebraic structure exists o X so that

More information

Tutorial F n F n 1

Tutorial F n F n 1 (CS 207) Discrete Structures July 30, 203 Tutorial. Prove the followig properties of Fiboacci umbers usig iductio, where Fiboacci umbers are defied as follows: F 0 =0,F =adf = F + F 2. (a) Prove that P

More information

Lesson 10: Limits and Continuity

Lesson 10: Limits and Continuity www.scimsacademy.com Lesso 10: Limits ad Cotiuity SCIMS Academy 1 Limit of a fuctio The cocept of limit of a fuctio is cetral to all other cocepts i calculus (like cotiuity, derivative, defiite itegrals

More information

CS 133 : Automata Theory and Computability

CS 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 information

COSE212: Programming Languages. Lecture 1 Inductive Definitions (1)

COSE212: Programming Languages. Lecture 1 Inductive Definitions (1) COSE212: Programming Languages Lecture 1 Inductive Definitions (1) Hakjoo Oh 2018 Fall Hakjoo Oh COSE212 2018 Fall, Lecture 1 September 5, 2018 1 / 10 Inductive Definitions Inductive definition (induction)

More information

Define a Markov chain on {1,..., 6} with transition probability matrix P =

Define a Markov chain on {1,..., 6} with transition probability matrix P = Pla Group Work 0. The title says it all Next Tie: MCMC ad Geeral-state Markov Chais Midter Exa: Tuesday 8 March i class Hoework 4 due Thursday Uless otherwise oted, let X be a irreducible, aperiodic Markov

More information

Exercises 1 Sets and functions

Exercises 1 Sets and functions Exercises 1 Sets ad fuctios HU Wei September 6, 018 1 Basics Set theory ca be made much more rigorous ad built upo a set of Axioms. But we will cover oly some heuristic ideas. For those iterested studets,

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

Infinite Series. Definition. An infinite series is an expression of the form. Where the numbers u k are called the terms of the series.

Infinite Series. Definition. An infinite series is an expression of the form. Where the numbers u k are called the terms of the series. Ifiite Series Defiitio. A ifiite series is a expressio of the form uk = u + u + u + + u + () 2 3 k Where the umbers u k are called the terms of the series. Such a expressio is meat to be the result of

More information

Discrete-Time Signals and Systems. Discrete-Time Signals and Systems. Signal Symmetry. Elementary Discrete-Time Signals.

Discrete-Time Signals and Systems. Discrete-Time Signals and Systems. Signal Symmetry. Elementary Discrete-Time Signals. Discrete-ime Sigals ad Systems Discrete-ime Sigals ad Systems Dr. Deepa Kudur Uiversity of oroto Referece: Sectios. -.5 of Joh G. Proakis ad Dimitris G. Maolakis, Digital Sigal Processig: Priciples, Algorithms,

More information

Recurrence Relations

Recurrence Relations Recurrece Relatios Aalysis of recursive algorithms, such as: it factorial (it ) { if (==0) retur ; else retur ( * factorial(-)); } Let t be the umber of multiplicatios eeded to calculate factorial(). The

More information

ECE-S352 Introduction to Digital Signal Processing Lecture 3A Direct Solution of Difference Equations

ECE-S352 Introduction to Digital Signal Processing Lecture 3A Direct Solution of Difference Equations ECE-S352 Itroductio to Digital Sigal Processig Lecture 3A Direct Solutio of Differece Equatios Discrete Time Systems Described by Differece Equatios Uit impulse (sample) respose h() of a DT system allows

More information

Long-term Memory Review CRT PRACTICE 8 th Grade: MONDAY REVIEW STATE STANDARDS AND 2.8.2

Long-term Memory Review CRT PRACTICE 8 th Grade: MONDAY REVIEW STATE STANDARDS AND 2.8.2 CRT PRACTICE 8 th Grade: MONDAY REVIEW Word Bak: use these words to fill i the blaks for Questio 1. Words may be used oce, more tha oce, or ot at all. sequece series factor term equatio expressio 1) A()

More information

Theory of Computation - Module 3

Theory of Computation - Module 3 Theory of Computation - Module 3 Syllabus Context Free Grammar Simplification of CFG- Normal forms-chomsky Normal form and Greibach Normal formpumping lemma for Context free languages- Applications of

More information

CSE 105 Homework 1 Due: Monday October 9, Instructions. should be on each page of the submission.

CSE 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 information

Define and Use Sequences and Series

Define and Use Sequences and Series . a., A..A; P..A, P..B TEKS Defie ad Use Sequeces ad Series Before You idetified ad wrote fuctios. Now You will recogize ad write rules for umber patters. Why? So you ca fid agle measures, as i Ex.. Key

More information

Calculus 2 - D. Yuen Final Exam Review (Version 11/22/2017. Please report any possible typos.)

Calculus 2 - D. Yuen Final Exam Review (Version 11/22/2017. Please report any possible typos.) Calculus - D Yue Fial Eam Review (Versio //7 Please report ay possible typos) NOTE: The review otes are oly o topics ot covered o previous eams See previous review sheets for summary of previous topics

More information

You may work in pairs or purely individually for this assignment.

You may work in pairs or purely individually for this assignment. CS 04 Problem Solvig i Computer Sciece OOC Assigmet 6: Recurreces You may work i pairs or purely idividually for this assigmet. Prepare your aswers to the followig questios i a plai ASCII text file or

More information

St.MARTIN S ENGINEERING COLLEGE Dhulapally, Secunderabad

St.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 information

Matrix Algebra 2.2 THE INVERSE OF A MATRIX Pearson Education, Inc.

Matrix Algebra 2.2 THE INVERSE OF A MATRIX Pearson Education, Inc. 2 Matrix Algebra 2.2 THE INVERSE OF A MATRIX MATRIX OPERATIONS A matrix A is said to be ivertible if there is a matrix C such that CA = I ad AC = I where, the idetity matrix. I = I I this case, C is a

More information

Automated Proofs for Some Stirling Number Identities

Automated Proofs for Some Stirling Number Identities Autoated Proofs for Soe Stirlig Nuber Idetities Mauel Kauers ad Carste Scheider Research Istitute for Sybolic Coputatio Johaes Kepler Uiversity Altebergerstraße 69 A4040 Liz, Austria Subitted: Sep 1, 2007;

More information

CSCI-6971 Lecture Notes: Stochastic processes

CSCI-6971 Lecture Notes: Stochastic processes CSCI-6971 Lecture Notes: Stochastic processes Kristopher R. Beevers Departet of Coputer Sciece Resselaer Polytechic Istitute beevek@cs.rpi.edu February 2, 2006 1 Overview Defiitio 1.1. A stochastic process

More information

( ) = p and P( i = b) = q.

( ) = p and P( i = b) = q. MATH 540 Radom Walks Part 1 A radom walk X is special stochastic process that measures the height (or value) of a particle that radomly moves upward or dowward certai fixed amouts o each uit icremet of

More information

Announcements. Introduction to String Matching. String Matching. String Matching. String Matching. String Matching

Announcements. Introduction to String Matching. String Matching. String Matching. String Matching. String Matching Itroductio to 15211 Fudametal Data Structures ad Algorithms Peter Lee April 22, 2003 Aoucemets Quiz #4 available after class today! available util Wedesday midight Homework 6 is out! Due o May??, 11:59pm

More information

Sets. Sets. Operations on Sets Laws of Algebra of Sets Cardinal Number of a Finite and Infinite Set. Representation of Sets Power Set Venn Diagram

Sets. Sets. Operations on Sets Laws of Algebra of Sets Cardinal Number of a Finite and Infinite Set. Representation of Sets Power Set Venn Diagram Sets MILESTONE Sets Represetatio of Sets Power Set Ve Diagram Operatios o Sets Laws of lgebra of Sets ardial Number of a Fiite ad Ifiite Set I Mathematical laguage all livig ad o-livig thigs i uiverse

More information

Course Material. CS Lecture 1 Deterministic Finite Automata. Grading and Policies. Workload. Website:http://www.cs.colostate.

Course Material. CS Lecture 1 Deterministic Finite Automata. Grading and Policies. Workload. Website:http://www.cs.colostate. Course Mteril CS 301 - Lecture 1 Determiistic Fiite Automt Fll 2008 Wesite:http://www.cs.colostte.edu/~cs301 Syllus, Outlie, Grdig Policies Homework d Slides Istructor: D Mssey Office hours: 2-3pm Tues

More information

A Simple Optimum-Time FSSP Algorithm for Multi-Dimensional Cellular Automata

A Simple Optimum-Time FSSP Algorithm for Multi-Dimensional Cellular Automata A Simple Optimum-Time FSSP Algorithm for Multi-Dimesioal Cellular Automata HIROSHI UMEO Uiversity of Osaka Electro-Commuicatio umeo@cyt.osakac.ac.jp KINUO NISHIDE Uiversity of Osaka Electro-Commuicatio

More information

Lecture 2: April 3, 2013

Lecture 2: April 3, 2013 TTIC/CMSC 350 Mathematical Toolkit Sprig 203 Madhur Tulsiai Lecture 2: April 3, 203 Scribe: Shubhedu Trivedi Coi tosses cotiued We retur to the coi tossig example from the last lecture agai: Example. Give,

More information

EXAMPLE CFG. L = {a 2n : n 1 } L = {a 2n : n 0 } S asa aa. L = {a n b : n 0 } L = {a n b : n 1 } S asb ab S 1S00 S 1S00 100

EXAMPLE CFG. L = {a 2n : n 1 } L = {a 2n : n 0 } S asa aa. L = {a n b : n 0 } L = {a n b : n 1 } S asb ab S 1S00 S 1S00 100 EXAMPLE CFG L = {a 2n : n 1 } L = {a 2n : n 0 } S asa aa S asa L = {a n b : n 0 } L = {a n b : n 1 } S as b S as ab L { a b : n 0} L { a b : n 1} S asb S asb ab n 2n n 2n L {1 0 : n 0} L {1 0 : n 1} S

More information