Automata Theory | GATE Solved

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 Languages2. Finite automata3. Deterministic finite state automaton (DFA)4. Sets5. Relations and Functions6. Asymptotic Behavior of Functions7. Grammar8. Graphs9. Languages10. Nondeterministic finite automaton11. Strings and Languages12. Boolean Logic13. Orders for Strings14. Operations on languages15. Kleene Star, ‘∗’16. Homomorphism17. Machines18. The power of DFAs19. Machine types that accept non-regular languages20. Equivalence of NFA and DFA21. Regular Expressions22. Regular Expressions and Languages23. Building Regular Expressions24. NFAs to Regular Expression25. Two-way Finite Automata26. Finite Automata with Output27. Properties of regular sets (Languages)28. Pumping Lemma29. Closure properties of regular languages30. Myhill-Nerode Theorem-131. Introduction to Context-Free Grammars32. Conversion of Left-linear Grammar into Right-Linear Grammar33. Derivation Tree34. Parsing35. Ambiguity36. Simplification of CFG37. Normal Forms38. Greibach Normal Form39. Pushdown Automata40. Transition Functions for NPDA41. Execution of NPDA42. Relation between pda and context free language43. CFG to NPDA44. NPDA to CFG45. Properties of context-free languages46. Proof of Pumping Lemma47. Usage of Pumping Lemma48. dicision Algorithms49. Turing Machine50. Programming a Turing Machine51. Turing Machines as Transducers52. Complete language and functions53. Modification of turing machines54. Church-turing thesis55. Enumerating Strings in a Language56. Halting Problem57. Rices Theorem58. Context sensitive grammar and languages59. The chomsky hirarchy60. Unrestricted grammar61. Introduction to Complexity Theory62. polynomial time algorithm63. boolean satisfiablity64. Additional NP problem65. Formal systems66. Composition and recursion67. Ackermanns theorem68. Propositions69. Exampleof Non Deterministic Finite Automata70. Conversion of NFA to DFA71. Connectives72. Tautology, Contradiction and Contingency73. Logical Identities74. Logical inference75. Predicates and quantifiers76. Quantifiers and logical operators77. Normal forms78. Mealy and moore Machine79. Myhill-Nerode theorem80. Decision algorithms81. NFA Questions82. Binary Relation Basics83. Transitive, and Related Notions84. Equivalence (Preorder plus Symmetry)85. The Power Relation between Machines86. Dealing with Recursion