Automata Theory | GATE Solved Questions

Automata Theory App is a classroom notes & handbook on Automata theory subject for Information technology (IT), Computer Science engineering, discrete mathematics & Mathematics students. It is part of engineering education which brings important topics, notes, news & blog on the subject. Automata Theory plays a major role in the theory of computation, compiler construction, artificial intelligence, parsing and formal verification. Automata theory is faster learning of the subject and quick revisions of the topics. Also get the hottest international engineering & technology news on your app powered by Google news feeds. We have customized it so that you get regular updates on subject from international/national colleges, universities, research, industry, applications, engineering, tech, articles & innovation. Automata Theory is a branch of computer science that deals with designing abstract selfpropelled computing devices that follow a predetermined sequence of operations automatically. An automaton with a finite number of states is called a Finite Automaton. This is a brief and concise Learn Automata Theory Full that introduces the fundamental concepts of Finite Automata, Regular Languages, and Pushdown Automata before moving onto Turing machines and Decidability. This Automata Theory App has a good balance between theory and mathematical rigor. The readers are expected to have a basic understanding of discrete mathematical structures. Some of topics Covered in Automata theory are: 1. Introduction to automata theory and Formal Languages 2. Finite automata 3. Deterministic finite state automaton (DFA) 4. Sets 5. Relations and Functions 6. Asymptotic Behavior of Functions 7. Grammar 8. Graphs 9. Languages 10. Nondeterministic finite automaton 11. Strings and Languages 12. Boolean Logic 13. Orders for Strings 14. Operations on languages 15. Kleene Star, ‘∗’ 16. Homomorphism 17. Machines 18. The power of DFAs 19. Machine types that accept non-regular languages 20. Equivalence of NFA and DFA 21. Regular Expressions 22. Regular Expressions and Languages 23. Building Regular Expressions 24. NFAs to Regular Expression 25. Two-way Finite Automata 26. Finite Automata with Output 27. Properties of regular sets (Languages) 28. Pumping Lemma 29. Closure properties of regular languages 30. Myhill-Nerode Theorem-1 31. Introduction to Context-Free Grammars 32. Conversion of Left-linear Grammar into Right-Linear Grammar 33. Derivation Tree 34. Parsing 35. Ambiguity 36. Simplification of CFG 37. Normal Forms 38. Greibach Normal Form 39. Pushdown Automata 40. Transition Functions for NPDA 41. Execution of NPDA 42. Relation between pda and context free language 43. CFG to NPDA 44. NPDA to CFG 45. Properties of context-free languages 46. Proof of Pumping Lemma 47. Usage of Pumping Lemma 48. dicision Algorithms 49. Turing Machine 50. Programming a Turing Machine 51. Turing Machines as Transducers 52. Complete language and functions 53. Modification of turing machines 54. Church-turing thesis 55. Enumerating Strings in a Language 56. Halting Problem 57. Rice's Theorem 58. Context sensitive grammar and languages 59. The chomsky hirarchy 60. Unrestricted grammar 61. Introduction to Complexity Theory 62. polynomial time algorithm 63. boolean satisfiablity 64. Additional NP problem 65. Formal systems 66. Composition and recursion 67. Ackermann's theorem 68. Propositions 69. Exampleof Non Deterministic Finite Automata 70. Conversion of NFA to DFA 71. Connectives 72. Tautology, Contradiction and Contingency 73. Logical Identities 74. Logical inference 75. Predicates and quantifiers 76. Quantifiers and logical operators 77. Normal forms 78. Mealy and moore Machine 79. Myhill-Nerode theorem 80. Decision algorithms 81. NFA Questions 82. Binary Relation Basics 83. Transitive, and Related Notions 84. Equivalence (Preorder plus Symmetry) 85. The Power Relation between Machines 86. Dealing with Recursion