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UNIT I FINITE AUTOMATA CS6503 Syllabus Theory of Computation Introduction- Basic Mathematical Notation and techniques- Finite State systems – Basic Definitio...

Abisha D•556 views•01:55:58

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UNIT I FINITE AUTOMATA CS6503 Syllabus Theory of Computation Introduction- Basic Mathematical Notation and techniques- Finite State systems – Basic Definitions – Finite Automaton – DFA & NDFA – Finite Automaton with €- moves – Regular Languages- Regular Expression – Equivalence of NFA and DFA – Equivalence of NDFA‟s with and without €-moves – Equivalence of finite Automaton and regular expressions –Minimization of DFA- – Pumping Lemma for Regular sets – Problems based on Pumping Lemma. UNIT II GRAMMARS CS6503 Syllabus Theory of Computation TOC Grammar Introduction– Types of Grammar – Context Free Grammars and Languages– Derivations and Languages – Ambiguity- Relationship between derivation and derivation trees – Simplification of CFG – Elimination of Useless symbols – Unit productions – Null productions – Greiback Normal form – Chomsky normal form – Problems related to CNF and GNF. UNIT III PUSHDOWN AUTOMATA CS6503 Syllabus Theory of Computation Pushdown Automata- Definitions – Moves – Instantaneous descriptions – Deterministic pushdown automata – Equivalence of Pushdown automata and CFL – pumping lemma for CFL – problems based on pumping Lemma. UNIT IV TURING MACHINES CS6503 Syllabus Theory of Computation TOC Definitions of Turing machines – Models – Computable languages and functions –Techniques for Turing machine construction – Multi head and Multi tape Turing Machines – The Halting problem – Partial Solvability – Problems about Turing machine- Chomskian hierarchy of languages. UNIT V UNSOLVABLE PROBLEMS AND COMPUTABLE FUNCTIONS CS6503 THEORY OF COMPUTATION SYLLABUS Unsolvable Problems and Computable Functions – Primitive recursive functions – Recursive and recursively enumerable languages – Universal Turing machine. MEASURING AND CLASSIFYING COMPLEXITY: Tractable and Intractable problems- Tractable and possibly intractable problems – P and NP completeness – Polynomial time reductions.

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