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Unformatted text preview: Digital State Machines Regular Expressions & Languages 2/11/12 Veton Këpuska 2 Chapter Outline u Regular Expressions n Basic Regular Expression Patterns n Disjunction, Grouping and Precedence n Examples n Advanced Operators n Regular Expression Substitution, Memory and ELIZA u Summary Regular Expressions (RE) u Algebraic Description of finite state automata. u Regular Expressions can define exactly the same languages that the various forms of automata describe: regular languages. u Regular Expressions (RE) offer a declarative way to express the strings we want to accept – FSA do not! n REs serve as the input language for many systems that process strings: u Search commands such as UNIX grep (egrep, etc.) for finding strings: n WWW Browsers, n Textformatting systems, etc. u Search Systems convert REs into FSA(s) (DFSA or NFSA). n Lexicalanalyzer generators, such as LEX or FLEX. u Compiler, u Language Modeling System in a Speech Recognizer. u Grammar and Spell Checkers. 2/11/12 Veton Këpuska 3 2/11/12 Veton Këpuska 4 FSA, RE and Regular Languages Finite automata Regular languages Regular expressions The Operators of Regular Expressions u Regular Expressions denote languages. n 01*+10*  denotes the language consisting of all strings that are either a: u {0, 01, 011, 0111, 01111,…}, or u {1, 10, 100, 1000, 10000, …} u Operations on Regular Languages that Regular Expressions Represent. Let L, L1 and L2 be regular languages, L={0,1}, L1 = {10, 001, 111} & L2 = { ε , 001}, then 1. The union: L1 ∪ L2, the union or disjunction of L1 and L2. u L1 ∪ L2 = { ε , 10, 001, 111} 2. The concatenation: L1L2 = {xyx L1, y L2}. ∈ ∈ u L1 L2 = {10, 001, 111, 10001, 00001, 111001} 3. The closure (or star, *, or Kleene closure) : L*. u L* = {L0, L1, L2,…, Li,…, L∞} 2/11/12 Veton Këpuska 5 Example u L={0,11}, n L0 = { ε } – independent of what language L is. n L1 = L – represents the choice of one string from L. u {L0, L1} = { ε, 0 , 1 1 } n L2 = { 0 0 , 0 1 1 ,1 1 0 ,1 1 1 1 } n L3 = { 0 0 0 , 0 0 1 1 , 0 1 1 0 , 0 1 1 1 1 ,1 1 0 0 ,1 1 0 1 1 ,1 1 1 1 0 ,1 1 1 1 1 1 } n To compute L* must compute L i for each i (" i ) n L i has 2 i members. n Union of infinite number of terms L i is generally an infinite language (L*) as it is this example. 2/11/12 Veton Këpuska 6 Example u Let L={ ε, 0, 00, 000, …} – a set of strings consisting all zeros. L – is infinite language n L0 = { ε } – independent of what language L is....
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 Fall '10
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 Regular expression, Veton Këpuska, Nori Veton Këpuska

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