DIGITAL NOTES ON FORMAL LANGUAGES AND AUTOMATA THEORY B.TECH II YEAR - II SEM ( )
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1 DIGITAL NOTES ON FORMAL LANGUAGES AND AUTOMATA THEORY B.TECH II YEAR - II SEM ( ) DEPARTMENT OF INFORMATION TECHNOLOGY MALLA REDDY COLLEGE OF ENGINEERING & TECHNOLOGY (Autonomous Institution UGC, Govt. of India) (Affiliated to JNTUH, Hyderabad, Approved by AICTE - Accredited by NBA & NAAC A Grade - ISO 9001:2015 Certified) Maisammaguda, Dhulapally (Post Via. Hakimpet), Secunderabad , Telangana State, INDIA. Page 1
2 MALLA REDDY COLLEGE OF ENGINEERING & TECHNOLOGY DEPARTMENT OF INFORMATION TECHNOLOGY II Year B.Tech IT II Sem L T /P/D C 4 -/-/3 (R15A0506) Objectives: To teach the student to identify different formal language classes and their relationships To teach the student the theoretical foundation for designing compilers. To teach the student to use the ability of applying logical skills. Teach the student to prove or disprove theorems in automata theory using its properties To teach the student the techniques for information processing. Understand the theory behind engineering applications. UNIT I: Fundamentals: Strings, Alphabet, Language, Operations, Finite state machine, definitions, finite automaton model, acceptance of strings, and languages, FA, transition diagrams and Language recognizers. Finite Automata: Deterministic finite automaton, Non deterministic finite automaton and NFA with Є transitions - Significance, acceptance of languages. Conversions and Equivalence : Equivalence between NFA with and without Є transitions, NFA to DFA conversion, minimization of FSM, equivalence between two FSMs, Finite Automata with output- Moore and Melay machines. UNIT II: Regular Languages: Regular sets, regular expressions, identity rules, Conversion finite Automata for a given regular expressions, Conversion of Finite Automata to Regular expressions. Pumping lemma of regular sets, closure properties of regular sets (proofs not required). UNIT III: Grammar Formalism: Regular grammars-right linear and left linear grammars, equivalence between regular linear grammar and FA, inter conversion, Context free grammar, derivation trees, sentential forms. Right most and leftmost derivation of strings. Context Free Grammars: Ambiguity in context free grammars. Minimisation of Context Free Grammars. Chomsky normal form, Greibach normal form, Pumping Lemma for Context Free Languages. Enumeration of properties of CFL (proofs omitted). UNIT IV: Page 2
3 Push Down Automata: Push down automata, definition, model, acceptance of CFL, Acceptance by final state and acceptance by empty state and its equivalence. Equivalence of CFL and PDA, interconversion. (Proofs not required). Introduction to DCFL and DPDA. LINEAR BOUNDED AUTOMATA(LBA):LBA,context sensitive grammars,cs languages UNIT V: Turing Machine: Turing Machine, definition, model, design of TM, Computable functions, recursively enumerable languages. Church s hypothesis, counter machine, types of Turing machines (proofs not required). Computability Theory: Chomsky hierarchy of languages, linear bounded automata and context sensitive language, LR(0) grammar, decidability of, problems, Universal Turing Machine, undecidability of posts. Correspondence problem, Turing reducibility, Definition of P and NP problems, NP complete and NP hard problems. TEXT BOOKS: 1. Introduction to Automata Theory Languages and Computation. Hopcroft H.E. and Ullman J. D. Pearson Education. 2. Introduction to Theory of Computation - Sipser 2nd edition Thomson REFERENCE BOOKS: 1. Introduction to Computer Theory, Daniel I.A. Cohen, John Wiley. 2. Introduction to languages and the Theory of Computation,John C Martin, TMH 3. Elements of Theory of Computation, Lewis H.P. & Papadimition C.H. Pearson /PHI. 4. Theory of Computer Science and Automata languages and computation -Mishra and Chandrashekaran, 2nd edition, PHI. 5. Theory of Computation, By K.V.N. Sunitha and N.Kalyani Course Outcomes: Student will have the ability to Apply knowledge in designing or enhancing compilers. Design grammars and automata (recognizers) for different language classes. Apply knowledge in developing tools for language processing or text processing. Page 3
4 MALLA REDDY COLLEGE OF ENGINEERING & TECHNOLOGY DEPARTMENT OF INFORMATION TECHNOLOGY INDEX S. No Topic Unit Page no Strings, Alphabet, Language, Operations 2 Finite state machine, Finite Automata: DFA,NFA,With Є transitions Conversions and Equivalence : NFA to DFA conversion, minimization of FSM, equivalence between two FSMs Finite Automata with output Regular Languages: Conversion, Pumping lemma of regular sets Pumping lemma of regular sets FA:RLG,LLG, Sentential forms Context Free Grammars:CNF,GNF Pumping Lemma for Context Free Languages. Enumeration of properties of CFL I II III IV 13 V 14 Equivalence of CFL and PDA, inter conversion Push Down Automata, LBA,CSL Turing Machine: Church s hypothesis, counter machine, types of Turing machines LR(0) grammar, decidability of, problems,utm,p and NP Problems Page 4
5 MALLA REDDY COLLEGE OF ENGINEERING & TECHNOLOGY DEPARTMENT OF INFORMATION TECHNOLOGY UNIT-1 Page 5
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