JNTUK R19 B Tech CSE 2-2 FLAT Material/ Notes PDF Download

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JNTUK R19 B Tech CSE 2-2 FLAT Material/ Notes PDF Download: Unlock the key to mastering Formal Languages and Automata Theory with JNTUK R19 CSE B Tech 2-2 FLAT study materials. Provide comprehensive resources designed specifically for CSE students, covering essential topics like Regular and Context-Free grammar and Languages. Discover the intricate relationship between Regular Languages and Finite Automata, gaining insights into the design of Automata as Acceptors, Verifiers, and Translators. Explore the connections between Context-Free Languages, Pushdown Automata (PDA), and Turing Machines (TM), unraveling the fundamentals of designing PDAs as acceptors and TMs as calculators. Download the PDF materials effortlessly to access a wealth of knowledge, ensuring a thorough understanding of these critical concepts. Elevate your understanding of Formal Languages and Automata Theory through this meticulously curated material, essential for excelling in your B Tech CSE journey at JNTUK.

JNTUK R19 CSE B Tech 2-2 FLAT Material – Units

Unit 1 Syllabus PDF Download | JNTUK R19 CSE B Tech FLAT Material

Finite Automata: Need of Automata theory, Central Concepts of Automata Theory, Automation, Finite Automation, Transition Systems, Acceptance of a String, DFA, Design of DFAs, NFA, Design of NFA, Equivalence of DFA and NFA, Conversion of NFA into DFA, Finite Automata with Є-Transitions, Minimization of Finite Automata, Finite Automata with output-Mealy and Moore Machines, Applications and Limitation of Finite Automata.

Unit 2 Syllabus PDF Download | JNTUK R19 CSE B Tech FLAT Material

Regular Expressions: Regular Sets, Identity Rules, Equivalence of two RE, Manipulations of REs, Finite Automata and Regular Expressions, Inter Conversion, Equivalence between FA and RE, Pumping Lemma of Regular Sets, Closure Properties of Regular Sets, Grammars, Classification of Grammars, Chomsky Hierarchy Theorem, Right and Left Linear Regular Grammars, Equivalence between RG and FA, Inter Conversion.

Unit 3 Syllabus PDF Download | JNTUK R19 CSE B Tech FLAT Material

Formal Languages: Context Free Grammar, Leftmost and Rightmost Derivations, Parse Trees, Ambiguous Grammars, Simplification of Context Free Grammars-Elimination of Useless Symbols, Є-Productions and Unit Productions, Normal Forms-Chomsky Normal Form and Greibach Normal Form, Pumping Lemma, Closure Properties, Applications of Context-Free Grammars.

Unit 4 Syllabus PDF Download | JNTUK R19 CSE B Tech FLAT Material

Pushdown Automata: Definition, Model, Graphical Notation, Instantaneous Description, Language Acceptance of Pushdown Automata, Design of Pushdown Automata, Deterministic and Non – Deterministic Pushdown Automata, Equivalence of Pushdown Automata and Context Grammars, Conversion, Two Stack Pushdown Automata, Application of Pushdown Automata.

Unit 5 Syllabus PDF Download | JNTUK R19 CSE B Tech FLAT Material

Turning Machine: Definition, Model, Representation of TMs-Instantaneous Descriptions, Transition Tables and Transition Diagrams, Language of a TM, Design of TMs, Types of TMs, Church’s Thesis, Universal and Restricted TM, Decidable and Un-decidable Problems, Halting Problem of TMs, Post’s Correspondence Problem, Modified PCP, Classes of P and NP, NP-Hard and NP-Complete Problems.

JNTUK R19 CSE B Tech CSE FLAT Material – Outcomes

Machine Language Recognition: Machines can be grouped based on their language recognition abilities, crucial for applications like translation and virtual assistants.

Chomsky Hierarchy and Language Types: The Chomsky hierarchy categorizes languages by complexity, offering insights into language structures and rules.

Finite State Machines in Computing: Finite state machines, with finite states and transitions, are used in computing for algorithm design and process modeling.

Deterministic vs. Non-deterministic Machines: Machines can be deterministic (predictable) or non-deterministic (with multiple paths), impacting algorithm efficiency.

Hierarchy of Problems in Computer Science: Computer science problems follow a hierarchy, guiding the classification and solution of computational challenges.

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