CS S-12 Turing Machine Modifications 1. When we added a stack to NFA to get a PDA, we increased computational power
|
|
- Naomi Hutchinson
- 6 years ago
- Views:
Transcription
1 CS S-12 Turing Mchine Modifictions : Extending Turing Mchines When we dded stck to NFA to get PDA, we incresed computtionl power Cn we do the sme thing for Turing Mchines? Tht is, cn we dd some new feture to TMs tht will increse their computtionl power? 12-1: Multi-Trck Tpe Insted of ech tpe loction holding single symol, we dd severl trcks to the tpe Bsed on contents of ll trcks, either move hed left, move hed right, or write new vlues to ny of the trcks c Red/write hed 12-2: Multi-Trck Tpe Cn simulte mutli-trck mchine with stndrd TM Increse the size of the tpe lphet k trcks, ech with n lphet ofnsymols New lphet of sizen k 12-3: Multi-Trck Tpe Red/write hed = = = C= D= E= F= G= H= GEF EH Red/write hed 12-4: Multiple Tpes Severl tpes, with independent red/write heds Rech symol on ech tpe, nd sed on contents of ll tpes:
2 CS S-12 Turing Mchine Modifictions 2 Write or move ech tpe independently Trnsition to new stte Red/write hed Red/write hed c Red/write hed 12-5: Multiple Tpes Crete 2-Tpe Mchine tht dds two numers Convert w;v to w +v (leding zeros OK) Assume tht tpe 1 holds input (nd output), nd tpe 2 strts out with lnks 12-6: Multiple Tpes Crete 2-Tpe Mchine tht dds two numers Convert w;v to w +v (leding zeros OK) Copy first # to second tpe (zeroing out first # on first tpe) Do stndrd ddition, keeping trck of crries. 12-7: Multiple Tpes Crete 2-Tpe Mchine tht dds two numers = R 1, R L 1,2 0 1, L , 0 1,2 L : Multiple Tpes Are k-tpe mchines more powerful thn 1-tpe mchines? 12-9: Multiple Tpes
3 CS S-12 Turing Mchine Modifictions 3 c c 1 c 1 c : Multiple Tpes Ech trnsition from the originl, multi-tpe mchine will require severl trnsitions from the simulted mchine nd ech stte in the multiple-tpe mchine will e represented y set of sttes in the simultion mchine First, need to scn tpe hed to find ll virtul heds, nd rememer wht symol is stored t ech hed loction Use stte to store this informtion Next, scn tpe to implement the ction on ech tpe (moving hed, rewriting symols, etc) Finlly, trnsition to new set of sttes 12-11: 2-Wy Infinite Tpe c d e f g h i 12-12: 2-Wy Infinite Tpe Red/write hed c d e f g h i Red/write hed f g h i * e d c 12-13: 2-Wy Infinite Tpe Red/write hed
4 CS S-12 Turing Mchine Modifictions 4 Mke 2 copies of sttes in originl mchine: One set for top tpe, one set for ottom tpe Top Tpe Sttes Use the top trck Execute s norml When Move Left commnd, nd eginning of tpe symol is on the ottom tpe, move Right insted, switch to Bottom Tpe Sttes 12-14: 2-Wy Infinite Tpe Mke 2 copies of sttes in originl mchine: One set for top tpe, one set for ottom tpe Bottom Tpe Sttes Use the ottom trck Move left on Move Right commnd, move right on Move Left commnd When the eginning of tpe symol is encountered, switch to Top Tpe Sttes 12-15: Simple Computer CPU 3 Registers ( (IR), Progrm Counter (PC), Accumultor (ACC) Opertion: Set IR MEM[PC] Increment PC Execute instruction in IR Repet 12-16: Simple Computer CPU Registers Instruction Register Progrm Counter Accumultor
5 CS S-12 Turing Mchine Modifictions : Simple Computer Instruction Mening 00 HALT Stop Computtion 01 LOAD x ACC MEM[x] 02 LOADI x ACC x 03 STORE x MEM[x] AC 04 ADD x ACC ACC + MEM[x] 05 ADDI x ACC ACC + x 06 SUB x ACC ACC - MEM[x] 07 SUBI x ACC ACC - x 08 JUMP x IP x 09 JZERO x IP xif ACC = 0 10 JGT x IP xif ACC>0 Write progrm tht multiplies two numers (in loctions 1000 & 1001), nd stores the result in : Simple Computer Mchine Code Assemly LOAD STORE LOADI STORE LOAD JZERO SUBI STORE LOAD ADD STORE HALT 12-19: Computers & TMs We cn simulte this computer with multi-tpe Turing mchine: One tpe for ech register (IR, IP, ACC) One tpe for the tpe will e entries of the form<ddress><contents> 12-20: Computers & TMs ddress contents Accumultor : Computers & TMs Opertion: Scn through memory until rech n ddress tht mtches the IP Copy contents of memory t tht ddress to the IR Increment IP Bsed on the instruction code: Copy vlue into IP Copy vlue into Copy vlue into the ACC Do ddition/sutrction
6 CS S-12 Turing Mchine Modifictions : Computers & TMs & & & & & & & Accumultor 12-23: Computers & TMs & & & & & & & Accumultor 12-24: Computers & TMs & & & & & & & Accumultor 12-25: Computers & TMs (LOAD 1000)
7 CS S-12 Turing Mchine Modifictions & & & & & & & Accumultor 12-26: Computers & TMs (LOAD 1000) & & & & & & & Accumultor 12-27: Computers & TMs (LOAD 1000) & & & & & & & Accumultor : Computers & TMs (LOAD 1000)
8 CS S-12 Turing Mchine Modifictions & & & & & & & Accumultor : Computers & TMs & & & & & & & Accumultor : Computers & TMs & & & & & & & Accumultor : Computers & TMs (STORE 1003)
9 CS S-12 Turing Mchine Modifictions & & & & & & & Accumultor : Computers & TMs (STORE 1003) & & & & & & & Accumultor : Computers & TMs (STORE 1003) & & & & & & & Accumultor : Computers & TMs (STORE 1003)
10 CS S-12 Turing Mchine Modifictions & & & & & & & Accumultor : Computers & TMs Simple Computer cn e modeled y Turing Mchine Any current mchine cn e modeled in the sme wy y Turing Mchine If there is n lgorithm for it, Turning Mchine cn do it Note tht t this point, we don t cre how long it might tke, just tht it cn e done 12-36: Turing Complete A computtion formlism is Turing Complete if it cn simulte Turing Mchine Turing Complete cn compute nything Of course it might not e convenient 12-37: Non-Determinism Finl extension to Turing Mchines: Non-Determinism Just like non-determinism in NFAs, PDAs String is ccepted y non-deterministic Turing Mchine if there is t lest one computtionl pth tht ccepts 12-38: Non-Determinism A Non-Deterministic Mchine M Decides lnguge L if: All computtionl pths hlt For echw L, t lest one computtionl pth forw ccepts For ll w L, no computtionl pth ccepts 12-39: Non-Determinism A Non-Deterministic Mchine M Semi-Decides lnguge L if: For echw L, t lest one computtionl pth forw hlts nd ccepts For ll w L, no computtionl pth hlts nd ccepts 12-40: Non-Determinism A Non-Deterministic Mchine M Computes Function if:
11 CS S-12 Turing Mchine Modifictions 11 All computtionl pths hlt Every computtionl pth produces the sme result 12-41: Non-Determinism Non-Deterministic TM forl = {w {0,1} : w is composite} (semi-decides is OK) 12-42: Non-Determinism Non-Deterministic TM forl = {w {0,1} : w is composite} 0 0 R R ; R L M MULT M w w 1 1 How could we mke this mchine decide (insted of semi-decide)l? 12-43: Non-Determinism How we cn mke this mchine decide (insted of semi-decide)l First, trnsform w into w w; w Non-deterministiclly modify the second 2w s Multiply the second 2 w s Check to see if the resulting string is w w 12-44: Non-Determinism Are Non-Deterministic Turing Mchines more powerful thn Deterministic Turing mchines? Is there some L which cn e semi-decided y non-deterministic Turing Mchine, which cnnot e semi-decided y Deterministic Turing Mchine? Non-determinism in Finite Automt didn t uy us nything Non-determinism in Push-Down Automt did 12-45: Non-Determinism How to Simulte Non-Deterministic Turing Mchine with Deterministic Turing Mchine 12-46: Non-Determinism How to Simulte Non-Deterministic Turing Mchine with Deterministic Turing Mchine Try one computtionl pth if it sys yes, hlt nd sy yes. Otherwise, try different computtionl pth. Repet until success 12-47: Non-Determinism
12 CS S-12 Turing Mchine Modifictions 12 How to Simulte Non-Deterministic Turing Mchine with Deterministic Turing Mchine Try one computtionl pth if it sys yes, hlt nd sy yes. Otherwise, try different computtionl pth. Repet until success 12-48: Non-Determinism But wht if the first computtionl pth runs forever How to Simulte Non-Deterministic Turing Mchine with Deterministic Turing Mchine Try ll computtionl pths of length 1 Try ll computtionl pths of length 2 Try ll computtionl pths of length 3 If there is hlting configurtion, you will find it eventully. Otherwise, run forever : Non-Determinism Originl Tpe c d e f g Work Tpe c d e f g Control Tpe : Non-Determinism, R R R yes R,,, (,R) (,R) (,R) (,R) (,R) (,R) (,R) (,R) (,R) yes (,R) (,R) (,R) 12-51: Non-Determinism
13 CS S-12 Turing Mchine Modifictions 13 Originl Tpe Work Tpe Control Tpe 1 (,R) (,R) (,R) (,R) (,R) (,R) (,R) (,R) (,R) yes (,R) (,R) (,R) Stte: q : Non-Determinism Originl Tpe Work Tpe Control Tpe : Non-Determinism (,R) (,R) (,R) (,R) (,R) (,R) (,R) (,R) (,R) yes (,R) (,R) (,R) Stte:
14 CS S-12 Turing Mchine Modifictions 14 Originl Tpe Work Tpe Control Tpe 2 (,R) (,R) (,R) (,R) (,R) (,R) (,R) (,R) (,R) yes (,R) (,R) (,R) Stte: q : Non-Determinism Originl Tpe Work Tpe Control Tpe : Non-Determinism (,R) (,R) (,R) (,R) (,R) (,R) (,R) (,R) (,R) yes (,R) (,R) (,R) Stte:
15 CS S-12 Turing Mchine Modifictions 15 Originl Tpe Work Tpe Control Tpe 1 1 (,R) (,R) (,R) (,R) (,R) (,R) (,R) (,R) (,R) yes (,R) (,R) (,R) Stte: q : Non-Determinism Originl Tpe Work Tpe Control Tpe : Non-Determinism (,R) (,R) (,R) (,R) (,R) (,R) (,R) (,R) (,R) yes (,R) (,R) (,R) Stte:
16 CS S-12 Turing Mchine Modifictions 16 Originl Tpe Work Tpe Control Tpe 1 1 (,R) (,R) (,R) (,R) (,R) (,R) (,R) (,R) (,R) yes (,R) (,R) (,R) Stte: 12-58: Non-Determinism Originl Tpe Work Tpe Control Tpe : Non-Determinism (,R) (,R) (,R) (,R) (,R) (,R) (,R) (,R) (,R) yes (,R) (,R) (,R) Stte: q0
17 CS S-12 Turing Mchine Modifictions 17 Originl Tpe Work Tpe Control Tpe 1 2 (,R) (,R) (,R) (,R) (,R) (,R) (,R) (,R) (,R) yes (,R) (,R) (,R) Stte: 12-60: Non-Determinism Originl Tpe Work Tpe Control Tpe : Non-Determinism (,R) (,R) (,R) (,R) (,R) (,R) (,R) (,R) (,R) yes (,R) (,R) (,R) Stte:
18 CS S-12 Turing Mchine Modifictions 18 Originl Tpe Work Tpe Control Tpe 2 1 (,R) (,R) (,R) (,R) (,R) (,R) (,R) (,R) (,R) yes (,R) (,R) (,R) Stte: q : Non-Determinism Originl Tpe Work Tpe Control Tpe : Non-Determinism (,R) (,R) (,R) (,R) (,R) (,R) (,R) (,R) (,R) yes (,R) (,R) (,R) Stte:
19 CS S-12 Turing Mchine Modifictions 19 Originl Tpe Work Tpe Control Tpe 2 1 (,R) (,R) (,R) (,R) (,R) (,R) (,R) (,R) (,R) yes (,R) (,R) (,R) Stte: 12-64: Non-Determinism Originl Tpe Work Tpe Control Tpe : Non-Determinism (,R) (,R) (,R) (,R) (,R) (,R) (,R) (,R) (,R) yes (,R) (,R) (,R) Stte: q0
20 CS S-12 Turing Mchine Modifictions 20 Originl Tpe Work Tpe Control Tpe (,R) (,R) (,R) (,R) (,R) (,R) (,R) (,R) (,R) yes (,R) (,R) (,R) Stte: q : Non-Determinism Originl Tpe Work Tpe Control Tpe : Non-Determinism (,R) (,R) (,R) (,R) (,R) (,R) (,R) (,R) (,R) yes (,R) (,R) (,R) Stte:
21 CS S-12 Turing Mchine Modifictions 21 Originl Tpe Work Tpe Control Tpe (,R) (,R) (,R) (,R) (,R) (,R) (,R) (,R) (,R) yes (,R) (,R) (,R) Stte: 12-68: Non-Determinism Originl Tpe Work Tpe Control Tpe : Non-Determinism (,R) (,R) (,R) (,R) (,R) (,R) (,R) (,R) (,R) yes (,R) (,R) (,R) Stte:
22 CS S-12 Turing Mchine Modifictions 22 Originl Tpe Work Tpe Control Tpe (,R) (,R) (,R) (,R) (,R) (,R) (,R) (,R) (,R) yes (,R) (,R) (,R) Stte: 12-70: Non-Determinism Originl Tpe Work Tpe Control Tpe : Non-Determinism (,R) (,R) (,R) (,R) (,R) (,R) (,R) (,R) (,R) yes (,R) (,R) (,R) Stte:
23 CS S-12 Turing Mchine Modifictions 23 Originl Tpe Work Tpe Control Tpe : Turing Mchines (,R) (,R) (,R) (,R) (,R) (,R) (,R) (,R) (,R) yes (,R) (,R) (,R) Stte: yes Some Turing Mchine review prolems: Crete Turing Mchine tht semi-decides the lnguge L = ll strings over {, } with t lest s mny s s s 12-73: Turing Mchines Crete Turing Mchine tht semi-decides the lngugel=ll strings over{, } with t lest s mny s s s R, yes X L R X L 12-74: Turing Mchines Some Turing Mchine review prolems: Crete Turing Mchine tht computes the function lgx, wherex is inry numer 12-75: Turing Mchines Some Turing Mchine review prolems: Crete Turing Mchine tht computes the function lgx, wherex is inry numer
24 CS S-12 Turing Mchine Modifictions : Turing Mchines Set result to 0 While x 2, dividexy 2, nd dd one to the result Crete Turing Mchine tht computes the function lgx, wherexis inry numer 0 R R0L L YR 0 1 R 1 R M INC L L R M LeftShift 12-77: Turing Mchines 0,1 Crete Turing Mchine tht computes the function lgx, wherexis inry numer Set mrker for shifting t end of computtion Eliminte leding zeroes Initilize result to 0 0 R R0L L YR 0 1 R 1 R M INC L R M LeftShift 0,1 Blnk out MSB 12-78: Turing Mchines M LeftShift Increment Result R x=0,1 ZL Y R x R Z R x=0,1 L Y
Automata Theory CS S-12 Turing Machine Modifications
Automata Theory CS411-2015S-12 Turing Machine Modifications David Galles Department of Computer Science University of San Francisco 12-0: Extending Turing Machines When we added a stack to NFA to get a
More informationThis lecture covers Chapter 8 of HMU: Properties of CFLs
This lecture covers Chpter 8 of HMU: Properties of CFLs Turing Mchine Extensions of Turing Mchines Restrictions of Turing Mchines Additionl Reding: Chpter 8 of HMU. Turing Mchine: Informl Definition B
More informationAssignment 1 Automata, Languages, and Computability. 1 Finite State Automata and Regular Languages
Deprtment of Computer Science, Austrlin Ntionl University COMP2600 Forml Methods for Softwre Engineering Semester 2, 206 Assignment Automt, Lnguges, nd Computility Smple Solutions Finite Stte Automt nd
More informationChapter 2 Finite Automata
Chpter 2 Finite Automt 28 2.1 Introduction Finite utomt: first model of the notion of effective procedure. (They lso hve mny other pplictions). The concept of finite utomton cn e derived y exmining wht
More information1 Nondeterministic Finite Automata
1 Nondeterministic Finite Automt Suppose in life, whenever you hd choice, you could try oth possiilities nd live your life. At the end, you would go ck nd choose the one tht worked out the est. Then you
More informationDesigning finite automata II
Designing finite utomt II Prolem: Design DFA A such tht L(A) consists of ll strings of nd which re of length 3n, for n = 0, 1, 2, (1) Determine wht to rememer out the input string Assign stte to ech of
More informationFirst Midterm Examination
Çnky University Deprtment of Computer Engineering 203-204 Fll Semester First Midterm Exmintion ) Design DFA for ll strings over the lphet Σ = {,, c} in which there is no, no nd no cc. 2) Wht lnguge does
More informationSection: Other Models of Turing Machines. Definition: Two automata are equivalent if they accept the same language.
Section: Other Models of Turing Mchines Definition: Two utomt re equivlent if they ccept the sme lnguge. Turing Mchines with Sty Option Modify δ, Theorem Clss of stndrd TM s is equivlent to clss of TM
More informationCS 373, Spring Solutions to Mock midterm 1 (Based on first midterm in CS 273, Fall 2008.)
CS 373, Spring 29. Solutions to Mock midterm (sed on first midterm in CS 273, Fll 28.) Prolem : Short nswer (8 points) The nswers to these prolems should e short nd not complicted. () If n NF M ccepts
More informationFormal languages, automata, and theory of computation
Mälrdlen University TEN1 DVA337 2015 School of Innovtion, Design nd Engineering Forml lnguges, utomt, nd theory of computtion Thursdy, Novemer 5, 14:10-18:30 Techer: Dniel Hedin, phone 021-107052 The exm
More informationCS 275 Automata and Formal Language Theory
CS 275 Automt nd Forml Lnguge Theory Course Notes Prt II: The Recognition Problem (II) Chpter II.6.: Push Down Automt Remrk: This mteril is no longer tught nd not directly exm relevnt Anton Setzer (Bsed
More informationFormal Language and Automata Theory (CS21004)
Forml Lnguge nd Automt Forml Lnguge nd Automt Theory (CS21004) Khrgpur Khrgpur Khrgpur Forml Lnguge nd Automt Tle of Contents Forml Lnguge nd Automt Khrgpur 1 2 3 Khrgpur Forml Lnguge nd Automt Forml Lnguge
More informationRegular expressions, Finite Automata, transition graphs are all the same!!
CSI 3104 /Winter 2011: Introduction to Forml Lnguges Chpter 7: Kleene s Theorem Chpter 7: Kleene s Theorem Regulr expressions, Finite Automt, trnsition grphs re ll the sme!! Dr. Neji Zgui CSI3104-W11 1
More informationNondeterminism and Nodeterministic Automata
Nondeterminism nd Nodeterministic Automt 61 Nondeterminism nd Nondeterministic Automt The computtionl mchine models tht we lerned in the clss re deterministic in the sense tht the next move is uniquely
More informationNon Deterministic Automata. Linz: Nondeterministic Finite Accepters, page 51
Non Deterministic Automt Linz: Nondeterministic Finite Accepters, pge 51 1 Nondeterministic Finite Accepter (NFA) Alphbet ={} q 1 q2 q 0 q 3 2 Nondeterministic Finite Accepter (NFA) Alphbet ={} Two choices
More information1. For each of the following theorems, give a two or three sentence sketch of how the proof goes or why it is not true.
York University CSE 2 Unit 3. DFA Clsses Converting etween DFA, NFA, Regulr Expressions, nd Extended Regulr Expressions Instructor: Jeff Edmonds Don t chet y looking t these nswers premturely.. For ech
More informationCSCI 340: Computational Models. Kleene s Theorem. Department of Computer Science
CSCI 340: Computtionl Models Kleene s Theorem Chpter 7 Deprtment of Computer Science Unifiction In 1954, Kleene presented (nd proved) theorem which (in our version) sttes tht if lnguge cn e defined y ny
More informationinput tape head moves current state
CPS 140 - Mthemticl Foundtions of CS Dr. Susn Rodger Section: Finite Automt (Ch. 2) (lecture notes) Things to do in clss tody (Jn. 13, 2004): ffl questions on homework 1 ffl finish chpter 1 ffl Red Chpter
More informationWorked out examples Finite Automata
Worked out exmples Finite Automt Exmple Design Finite Stte Automton which reds inry string nd ccepts only those tht end with. Since we re in the topic of Non Deterministic Finite Automt (NFA), we will
More informationConvert the NFA into DFA
Convert the NF into F For ech NF we cn find F ccepting the sme lnguge. The numer of sttes of the F could e exponentil in the numer of sttes of the NF, ut in prctice this worst cse occurs rrely. lgorithm:
More informationRegular Expressions (RE) Regular Expressions (RE) Regular Expressions (RE) Regular Expressions (RE) Kleene-*
Regulr Expressions (RE) Regulr Expressions (RE) Empty set F A RE denotes the empty set Opertion Nottion Lnguge UNIX Empty string A RE denotes the set {} Alterntion R +r L(r ) L(r ) r r Symol Alterntion
More information5.1 Definitions and Examples 5.2 Deterministic Pushdown Automata
CSC4510 AUTOMATA 5.1 Definitions nd Exmples 5.2 Deterministic Pushdown Automt Definitions nd Exmples A lnguge cn be generted by CFG if nd only if it cn be ccepted by pushdown utomton. A pushdown utomton
More informationCS103B Handout 18 Winter 2007 February 28, 2007 Finite Automata
CS103B ndout 18 Winter 2007 Ferury 28, 2007 Finite Automt Initil text y Mggie Johnson. Introduction Severl childrens gmes fit the following description: Pieces re set up on plying ord; dice re thrown or
More informationNon-Deterministic Finite Automata. Fall 2018 Costas Busch - RPI 1
Non-Deterministic Finite Automt Fll 2018 Costs Busch - RPI 1 Nondeterministic Finite Automton (NFA) Alphbet ={} q q2 1 q 0 q 3 Fll 2018 Costs Busch - RPI 2 Nondeterministic Finite Automton (NFA) Alphbet
More informationFirst Midterm Examination
24-25 Fll Semester First Midterm Exmintion ) Give the stte digrm of DFA tht recognizes the lnguge A over lphet Σ = {, } where A = {w w contins or } 2) The following DFA recognizes the lnguge B over lphet
More informationPart 5 out of 5. Automata & languages. A primer on the Theory of Computation. Last week was all about. a superset of Regular Languages
Automt & lnguges A primer on the Theory of Computtion Lurent Vnbever www.vnbever.eu Prt 5 out of 5 ETH Zürich (D-ITET) October, 19 2017 Lst week ws ll bout Context-Free Lnguges Context-Free Lnguges superset
More informationa,b a 1 a 2 a 3 a,b 1 a,b a,b 2 3 a,b a,b a 2 a,b CS Determinisitic Finite Automata 1
CS4 45- Determinisitic Finite Automt -: Genertors vs. Checkers Regulr expressions re one wy to specify forml lnguge String Genertor Genertes strings in the lnguge Deterministic Finite Automt (DFA) re nother
More informationRecursively Enumerable and Recursive. Languages
Recursively Enumerble nd Recursive nguges 1 Recll Definition (clss 19.pdf) Definition 10.4, inz, 6 th, pge 279 et S be set of strings. An enumertion procedure for Turing Mchine tht genertes ll strings
More informationNon Deterministic Automata. Formal Languages and Automata - Yonsei CS 1
Non Deterministic Automt Forml Lnguges nd Automt - Yonsei CS 1 Nondeterministic Finite Accepter (NFA) We llow set of possible moves insted of A unique move. Alphbet = {} Two choices q 1 q2 Forml Lnguges
More information12.1 Nondeterminism Nondeterministic Finite Automata. a a b ε. CS125 Lecture 12 Fall 2014
CS125 Lecture 12 Fll 2014 12.1 Nondeterminism The ide of nondeterministic computtions is to llow our lgorithms to mke guesses, nd only require tht they ccept when the guesses re correct. For exmple, simple
More informationFinite Automata. Informatics 2A: Lecture 3. John Longley. 22 September School of Informatics University of Edinburgh
Lnguges nd Automt Finite Automt Informtics 2A: Lecture 3 John Longley School of Informtics University of Edinburgh jrl@inf.ed.c.uk 22 September 2017 1 / 30 Lnguges nd Automt 1 Lnguges nd Automt Wht is
More informationDeterministic Finite Automata
Finite Automt Deterministic Finite Automt H. Geuvers nd J. Rot Institute for Computing nd Informtion Sciences Version: fll 2016 J. Rot Version: fll 2016 Tlen en Automten 1 / 21 Outline Finite Automt Finite
More informationCSCI 340: Computational Models. Transition Graphs. Department of Computer Science
CSCI 340: Computtionl Models Trnsition Grphs Chpter 6 Deprtment of Computer Science Relxing Restrints on Inputs We cn uild n FA tht ccepts only the word! 5 sttes ecuse n FA cn only process one letter t
More informationSome Theory of Computation Exercises Week 1
Some Theory of Computtion Exercises Week 1 Section 1 Deterministic Finite Automt Question 1.3 d d d d u q 1 q 2 q 3 q 4 q 5 d u u u u Question 1.4 Prt c - {w w hs even s nd one or two s} First we sk whether
More informationCS415 Compilers. Lexical Analysis and. These slides are based on slides copyrighted by Keith Cooper, Ken Kennedy & Linda Torczon at Rice University
CS415 Compilers Lexicl Anlysis nd These slides re sed on slides copyrighted y Keith Cooper, Ken Kennedy & Lind Torczon t Rice University First Progrmming Project Instruction Scheduling Project hs een posted
More informationFinite Automata-cont d
Automt Theory nd Forml Lnguges Professor Leslie Lnder Lecture # 6 Finite Automt-cont d The Pumping Lemm WEB SITE: http://ingwe.inghmton.edu/ ~lnder/cs573.html Septemer 18, 2000 Exmple 1 Consider L = {ww
More informationConverting Regular Expressions to Discrete Finite Automata: A Tutorial
Converting Regulr Expressions to Discrete Finite Automt: A Tutoril Dvid Christinsen 2013-01-03 This is tutoril on how to convert regulr expressions to nondeterministic finite utomt (NFA) nd how to convert
More informationTuring Machines Part One
Turing Mchines Prt One Wht problems cn we solve with computer? Regulr Lnguges CFLs Lnguges recognizble by ny fesible computing mchine All Lnguges Tht sme drwing, to scle. All Lnguges The Problem Finite
More informationCHAPTER 1 Regular Languages. Contents. definitions, examples, designing, regular operations. Non-deterministic Finite Automata (NFA)
Finite Automt (FA or DFA) CHAPTER Regulr Lnguges Contents definitions, exmples, designing, regulr opertions Non-deterministic Finite Automt (NFA) definitions, equivlence of NFAs DFAs, closure under regulr
More informationIntermediate Math Circles Wednesday, November 14, 2018 Finite Automata II. Nickolas Rollick a b b. a b 4
Intermedite Mth Circles Wednesdy, Novemer 14, 2018 Finite Automt II Nickols Rollick nrollick@uwterloo.c Regulr Lnguges Lst time, we were introduced to the ide of DFA (deterministic finite utomton), one
More informationFinite Automata. Informatics 2A: Lecture 3. Mary Cryan. 21 September School of Informatics University of Edinburgh
Finite Automt Informtics 2A: Lecture 3 Mry Cryn School of Informtics University of Edinburgh mcryn@inf.ed.c.uk 21 September 2018 1 / 30 Lnguges nd Automt Wht is lnguge? Finite utomt: recp Some forml definitions
More information12.1 Nondeterminism Nondeterministic Finite Automata. a a b ε. CS125 Lecture 12 Fall 2016
CS125 Lecture 12 Fll 2016 12.1 Nondeterminism The ide of nondeterministic computtions is to llow our lgorithms to mke guesses, nd only require tht they ccept when the guesses re correct. For exmple, simple
More informationAUTOMATA AND LANGUAGES. Definition 1.5: Finite Automaton
25. Finite Automt AUTOMATA AND LANGUAGES A system of computtion tht only hs finite numer of possile sttes cn e modeled using finite utomton A finite utomton is often illustrted s stte digrm d d d. d q
More informationTM M ... TM M. right half left half # # ...
CPS 140 - Mthemticl Foundtions of CS Dr. S. Rodger Section: Other Models of Turing Mchines èhndoutè Deænition: Two utomt re equivlent if they ccept the sme lnguge. We will demonstrte equivlence etween
More informationCMPSCI 250: Introduction to Computation. Lecture #31: What DFA s Can and Can t Do David Mix Barrington 9 April 2014
CMPSCI 250: Introduction to Computtion Lecture #31: Wht DFA s Cn nd Cn t Do Dvid Mix Brrington 9 April 2014 Wht DFA s Cn nd Cn t Do Deterministic Finite Automt Forml Definition of DFA s Exmples of DFA
More information80 CHAPTER 2. DFA S, NFA S, REGULAR LANGUAGES. 2.6 Finite State Automata With Output: Transducers
80 CHAPTER 2. DFA S, NFA S, REGULAR LANGUAGES 2.6 Finite Stte Automt With Output: Trnsducers So fr, we hve only considered utomt tht recognize lnguges, i.e., utomt tht do not produce ny output on ny input
More informationCSC 473 Automata, Grammars & Languages 11/9/10
CSC 473 utomt, Grmmrs & Lnguges 11/9/10 utomt, Grmmrs nd Lnguges Discourse 06 Decidbility nd Undecidbility Decidble Problems for Regulr Lnguges Theorem 4.1: (embership/cceptnce Prob. for DFs) = {, w is
More informationCISC 4090 Theory of Computation
9/6/28 Stereotypicl computer CISC 49 Theory of Computtion Finite stte mchines & Regulr lnguges Professor Dniel Leeds dleeds@fordhm.edu JMH 332 Centrl processing unit (CPU) performs ll the instructions
More informationNon-Deterministic Finite Automata
Non-Deterministic Finite Automt http://users.comlb.ox.c.uk/luke. ong/teching/moc/nf2up.pdf 1 Nondeterministic Finite Automton (NFA) Alphbet ={} q1 q2 2 Alphbet ={} Two choices q1 q2 3 Alphbet ={} Two choices
More informationNFAs continued, Closure Properties of Regular Languages
Algorithms & Models of Computtion CS/ECE 374, Fll 2017 NFAs continued, Closure Properties of Regulr Lnguges Lecture 5 Tuesdy, Septemer 12, 2017 Sriel Hr-Peled (UIUC) CS374 1 Fll 2017 1 / 31 Regulr Lnguges,
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 informationChapter Five: Nondeterministic Finite Automata. Formal Language, chapter 5, slide 1
Chpter Five: Nondeterministic Finite Automt Forml Lnguge, chpter 5, slide 1 1 A DFA hs exctly one trnsition from every stte on every symol in the lphet. By relxing this requirement we get relted ut more
More informationCMSC 330: Organization of Programming Languages
CMSC 330: Orgniztion of Progrmming Lnguges Finite Automt 2 CMSC 330 1 Types of Finite Automt Deterministic Finite Automt (DFA) Exctly one sequence of steps for ech string All exmples so fr Nondeterministic
More informationTypes of Finite Automata. CMSC 330: Organization of Programming Languages. Comparing DFAs and NFAs. NFA for (a b)*abb.
CMSC 330: Orgniztion of Progrmming Lnguges Finite Automt 2 Types of Finite Automt Deterministic Finite Automt () Exctly one sequence of steps for ech string All exmples so fr Nondeterministic Finite Automt
More informationLexical Analysis Finite Automate
Lexicl Anlysis Finite Automte CMPSC 470 Lecture 04 Topics: Deterministic Finite Automt (DFA) Nondeterministic Finite Automt (NFA) Regulr Expression NFA DFA A. Finite Automt (FA) FA re grph, like trnsition
More informationTypes of Finite Automata. CMSC 330: Organization of Programming Languages. Comparing DFAs and NFAs. Comparing DFAs and NFAs (cont.) Finite Automata 2
CMSC 330: Orgniztion of Progrmming Lnguges Finite Automt 2 Types of Finite Automt Deterministic Finite Automt () Exctly one sequence of steps for ech string All exmples so fr Nondeterministic Finite Automt
More informationHomework 3 Solutions
CS 341: Foundtions of Computer Science II Prof. Mrvin Nkym Homework 3 Solutions 1. Give NFAs with the specified numer of sttes recognizing ech of the following lnguges. In ll cses, the lphet is Σ = {,1}.
More informationExercises Chapter 1. Exercise 1.1. Let Σ be an alphabet. Prove wv = w + v for all strings w and v.
1 Exercises Chpter 1 Exercise 1.1. Let Σ e n lphet. Prove wv = w + v for ll strings w nd v. Prove # (wv) = # (w)+# (v) for every symol Σ nd every string w,v Σ. Exercise 1.2. Let w 1,w 2,...,w k e k strings,
More information1. For each of the following theorems, give a two or three sentence sketch of how the proof goes or why it is not true.
York University CSE 2 Unit 3. DFA Clsses Converting etween DFA, NFA, Regulr Expressions, nd Extended Regulr Expressions Instructor: Jeff Edmonds Don t chet y looking t these nswers premturely.. For ech
More informationLet's start with an example:
Finite Automt Let's strt with n exmple: Here you see leled circles tht re sttes, nd leled rrows tht re trnsitions. One of the sttes is mrked "strt". One of the sttes hs doule circle; this is terminl stte
More informationNFA DFA Example 3 CMSC 330: Organization of Programming Languages. Equivalence of DFAs and NFAs. Equivalence of DFAs and NFAs (cont.
NFA DFA Exmple 3 CMSC 330: Orgniztion of Progrmming Lnguges NFA {B,D,E {A,E {C,D {E Finite Automt, con't. R = { {A,E, {B,D,E, {C,D, {E 2 Equivlence of DFAs nd NFAs Any string from {A to either {D or {CD
More informationLecture 08: Feb. 08, 2019
4CS4-6:Theory of Computtion(Closure on Reg. Lngs., regex to NDFA, DFA to regex) Prof. K.R. Chowdhry Lecture 08: Fe. 08, 2019 : Professor of CS Disclimer: These notes hve not een sujected to the usul scrutiny
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 informationCompiler Design. Fall Lexical Analysis. Sample Exercises and Solutions. Prof. Pedro C. Diniz
University of Southern Cliforni Computer Science Deprtment Compiler Design Fll Lexicl Anlysis Smple Exercises nd Solutions Prof. Pedro C. Diniz USC / Informtion Sciences Institute 4676 Admirlty Wy, Suite
More informationThe University of Nottingham SCHOOL OF COMPUTER SCIENCE A LEVEL 2 MODULE, SPRING SEMESTER LANGUAGES AND COMPUTATION ANSWERS
The University of Nottinghm SCHOOL OF COMPUTER SCIENCE LEVEL 2 MODULE, SPRING SEMESTER 2016 2017 LNGUGES ND COMPUTTION NSWERS Time llowed TWO hours Cndidtes my complete the front cover of their nswer ook
More informationMore on automata. Michael George. March 24 April 7, 2014
More on utomt Michel George Mrch 24 April 7, 2014 1 Automt constructions Now tht we hve forml model of mchine, it is useful to mke some generl constructions. 1.1 DFA Union / Product construction Suppose
More informationJava II Finite Automata I
Jv II Finite Automt I Bernd Kiefer Bernd.Kiefer@dfki.de Deutsches Forschungszentrum für künstliche Intelligenz Finite Automt I p.1/13 Processing Regulr Expressions We lredy lerned out Jv s regulr expression
More informationNon-deterministic Finite Automata
Non-deterministic Finite Automt From Regulr Expressions to NFA- Eliminting non-determinism Rdoud University Nijmegen Non-deterministic Finite Automt H. Geuvers nd J. Rot Institute for Computing nd Informtion
More informationCS 330 Formal Methods and Models Dana Richards, George Mason University, Spring 2016 Quiz Solutions
CS 330 Forml Methods nd Models Dn Richrds, George Mson University, Spring 2016 Quiz Solutions Quiz 1, Propositionl Logic Dte: Ferury 9 1. (4pts) ((p q) (q r)) (p r), prove tutology using truth tles. p
More informationCMSC 330: Organization of Programming Languages. DFAs, and NFAs, and Regexps (Oh my!)
CMSC 330: Orgniztion of Progrmming Lnguges DFAs, nd NFAs, nd Regexps (Oh my!) CMSC330 Spring 2018 Types of Finite Automt Deterministic Finite Automt (DFA) Exctly one sequence of steps for ech string All
More informationTheory of Computation Regular Languages. (NTU EE) Regular Languages Fall / 38
Theory of Computtion Regulr Lnguges (NTU EE) Regulr Lnguges Fll 2017 1 / 38 Schemtic of Finite Automt control 0 0 1 0 1 1 1 0 Figure: Schemtic of Finite Automt A finite utomton hs finite set of control
More informationNormal Forms for Context-free Grammars
Norml Forms for Context-free Grmmrs 1 Linz 6th, Section 6.2 wo Importnt Norml Forms, pges 171--178 2 Chomsky Norml Form All productions hve form: A BC nd A vrile vrile terminl 3 Exmples: S AS S AS S S
More informationCS 301. Lecture 04 Regular Expressions. Stephen Checkoway. January 29, 2018
CS 301 Lecture 04 Regulr Expressions Stephen Checkowy Jnury 29, 2018 1 / 35 Review from lst time NFA N = (Q, Σ, δ, q 0, F ) where δ Q Σ P (Q) mps stte nd n lphet symol (or ) to set of sttes We run n NFA
More informationCS 311 Homework 3 due 16:30, Thursday, 14 th October 2010
CS 311 Homework 3 due 16:30, Thursdy, 14 th Octoer 2010 Homework must e sumitted on pper, in clss. Question 1. [15 pts.; 5 pts. ech] Drw stte digrms for NFAs recognizing the following lnguges:. L = {w
More informationContext-Free Grammars and Languages
Context-Free Grmmrs nd Lnguges (Bsed on Hopcroft, Motwni nd Ullmn (2007) & Cohen (1997)) Introduction Consider n exmple sentence: A smll ct ets the fish English grmmr hs rules for constructing sentences;
More information1.4 Nonregular Languages
74 1.4 Nonregulr Lnguges The number of forml lnguges over ny lphbet (= decision/recognition problems) is uncountble On the other hnd, the number of regulr expressions (= strings) is countble Hence, ll
More information5. (±±) Λ = fw j w is string of even lengthg [ 00 = f11,00g 7. (11 [ 00)± Λ = fw j w egins with either 11 or 00g 8. (0 [ ffl)1 Λ = 01 Λ [ 1 Λ 9.
Regulr Expressions, Pumping Lemm, Right Liner Grmmrs Ling 106 Mrch 25, 2002 1 Regulr Expressions A regulr expression descries or genertes lnguge: it is kind of shorthnd for listing the memers of lnguge.
More informationCS 330 Formal Methods and Models
CS 330 Forml Methods nd Models Dn Richrds, George Mson University, Spring 2017 Quiz Solutions Quiz 1, Propositionl Logic Dte: Ferury 2 1. Prove ((( p q) q) p) is tutology () (3pts) y truth tle. p q p q
More informationLanguages & Automata
Lnguges & Automt Dr. Lim Nughton Lnguges A lnguge is sed on n lphet which is finite set of smols such s {, } or {, } or {,..., z}. If Σ is n lphet, string over Σ is finite sequence of letters from Σ, (strings
More informationTheory of Computation Regular Languages
Theory of Computtion Regulr Lnguges Bow-Yw Wng Acdemi Sinic Spring 2012 Bow-Yw Wng (Acdemi Sinic) Regulr Lnguges Spring 2012 1 / 38 Schemtic of Finite Automt control 0 0 1 0 1 1 1 0 Figure: Schemtic of
More informationFormal Languages and Automata
Moile Computing nd Softwre Engineering p. 1/5 Forml Lnguges nd Automt Chpter 2 Finite Automt Chun-Ming Liu cmliu@csie.ntut.edu.tw Deprtment of Computer Science nd Informtion Engineering Ntionl Tipei University
More informationCSC 311 Theory of Computation
CSC 11 Theory of Computtion Tutoril on DFAs, NFAs, regulr expressions, regulr grmmr, closure of regulr lnguges, context-free grmmrs, non-deterministic push-down utomt, Turing mchines,etc. Tutoril 2 Second
More informationAnatomy of a Deterministic Finite Automaton. Deterministic Finite Automata. A machine so simple that you can understand it in less than one minute
Victor Admchik Dnny Sletor Gret Theoreticl Ides In Computer Science CS 5-25 Spring 2 Lecture 2 Mr 3, 2 Crnegie Mellon University Deterministic Finite Automt Finite Automt A mchine so simple tht you cn
More informationFundamentals of Computer Science
Fundmentls of Computer Science Chpter 3: NFA nd DFA equivlence Regulr expressions Henrik Björklund Umeå University Jnury 23, 2014 NFA nd DFA equivlence As we shll see, it turns out tht NFA nd DFA re equivlent,
More informationFinite Automata Theory and Formal Languages TMV027/DIT321 LP4 2018
Finite Automt Theory nd Forml Lnguges TMV027/DIT321 LP4 2018 Lecture 10 An Bove April 23rd 2018 Recp: Regulr Lnguges We cn convert between FA nd RE; Hence both FA nd RE ccept/generte regulr lnguges; More
More informationNon-deterministic Finite Automata
Non-deterministic Finite Automt Eliminting non-determinism Rdoud University Nijmegen Non-deterministic Finite Automt H. Geuvers nd T. vn Lrhoven Institute for Computing nd Informtion Sciences Intelligent
More informationHomework 4. 0 ε 0. (00) ε 0 ε 0 (00) (11) CS 341: Foundations of Computer Science II Prof. Marvin Nakayama
CS 341: Foundtions of Computer Science II Prof. Mrvin Nkym Homework 4 1. UsetheproceduredescriedinLemm1.55toconverttheregulrexpression(((00) (11)) 01) into n NFA. Answer: 0 0 1 1 00 0 0 11 1 1 01 0 1 (00)
More informationMinimal DFA. minimal DFA for L starting from any other
Miniml DFA Among the mny DFAs ccepting the sme regulr lnguge L, there is exctly one (up to renming of sttes) which hs the smllest possile numer of sttes. Moreover, it is possile to otin tht miniml DFA
More informationFinite-State Automata: Recap
Finite-Stte Automt: Recp Deepk D Souz Deprtment of Computer Science nd Automtion Indin Institute of Science, Bnglore. 09 August 2016 Outline 1 Introduction 2 Forml Definitions nd Nottion 3 Closure under
More informationNFAs and Regular Expressions. NFA-ε, continued. Recall. Last class: Today: Fun:
CMPU 240 Lnguge Theory nd Computtion Spring 2019 NFAs nd Regulr Expressions Lst clss: Introduced nondeterministic finite utomt with -trnsitions Tody: Prove n NFA- is no more powerful thn n NFA Introduce
More informationCS5371 Theory of Computation. Lecture 20: Complexity V (Polynomial-Time Reducibility)
CS5371 Theory of Computtion Lecture 20: Complexity V (Polynomil-Time Reducibility) Objectives Polynomil Time Reducibility Prove Cook-Levin Theorem Polynomil Time Reducibility Previously, we lernt tht if
More informationNON-DETERMINISTIC FSA
Tw o types of non-determinism: NON-DETERMINISTIC FS () Multiple strt-sttes; strt-sttes S Q. The lnguge L(M) ={x:x tkes M from some strt-stte to some finl-stte nd ll of x is proessed}. The string x = is
More informationLexical Analysis Part III
Lexicl Anlysis Prt III Chpter 3: Finite Automt Slides dpted from : Roert vn Engelen, Florid Stte University Alex Aiken, Stnford University Design of Lexicl Anlyzer Genertor Trnslte regulr expressions to
More informationGrammar. Languages. Content 5/10/16. Automata and Languages. Regular Languages. Regular Languages
5//6 Grmmr Automt nd Lnguges Regulr Grmmr Context-free Grmmr Context-sensitive Grmmr Prof. Mohmed Hmd Softwre Engineering L. The University of Aizu Jpn Regulr Lnguges Context Free Lnguges Context Sensitive
More informationCSCI FOUNDATIONS OF COMPUTER SCIENCE
1 CSCI- 2200 FOUNDATIONS OF COMPUTER SCIENCE Spring 2015 My 7, 2015 2 Announcements Homework 9 is due now. Some finl exm review problems will be posted on the web site tody. These re prcqce problems not
More informationNFAs continued, Closure Properties of Regular Languages
lgorithms & Models of omputtion S/EE 374, Spring 209 NFs continued, losure Properties of Regulr Lnguges Lecture 5 Tuesdy, Jnury 29, 209 Regulr Lnguges, DFs, NFs Lnguges ccepted y DFs, NFs, nd regulr expressions
More informationHarvard University Computer Science 121 Midterm October 23, 2012
Hrvrd University Computer Science 121 Midterm Octoer 23, 2012 This is closed-ook exmintion. You my use ny result from lecture, Sipser, prolem sets, or section, s long s you quote it clerly. The lphet is
More informationTuring Machines Part One
Turing Mchines Prt One Hello Hello Condensed Condensed Slide Slide Reders! Reders! Tody s Tody s lecture lecture consists consists lmost lmost exclusively exclusively of of nimtions nimtions of of Turing
More informationDecidability. Models of Computation 1
Decidbility We investigte the power of lgorithms to solve problems. We demonstrte tht certin problems cn be solved lgorithmiclly nd others cnnot. Our objective is to explore the limits of lgorithmic solvbility.
More informationHomework Solution - Set 5 Due: Friday 10/03/08
CE 96 Introduction to the Theory of Computtion ll 2008 Homework olution - et 5 Due: ridy 10/0/08 1. Textook, Pge 86, Exercise 1.21. () 1 2 Add new strt stte nd finl stte. Mke originl finl stte non-finl.
More information