Theory of computation from basics

Name: Theory of computation from basics
Rating: 4.5 (158 reviews)

Finite autometa and Regular language

Created byShaifali Gupta

Last updated 5/2020

English

English [Auto],

What you'll learn

Theory of Computation - Computer Science Engineering 4th semester subject notes
Autometa
Deterministic finite Autometa, Non Deterministic Finite Autometa, Epsilon NFA with examples, Acceptebility of a string by DFA, Conversion from DFA to NFA

Course content

1 section • 7 lectures • 1h 39m total length

Introduction10:10
What is Autometa.
Finite Automet Definition
Types of Autometa.
Formal definition of DFA , DFA with examples.22:11
DFA technical definition with example.
DFA examples with solution for practice and exam purpose.
Acceptability of a String by given Autometa15:11
Analyze how a deterministic finite automaton accepts a string by tracing the transition function from the initial state to a final state, with final states forming the acceptance condition.
Non deterministic Autometa formal definition with example9:40
Epsilon NFA with Example11:42
epsilon NFA definition and examples
DFA examples with trap state, NFA to DFA Conversion part 116:49
Explore dfa design for languages with exactly one a and with at most one a, including trap states, and learn nfa to dfa conversion with epsilon transitions.
DFA examples with trap state, NFA to DFA Conversion part 214:15

Requirements

Students should have computer science background

Description

Deterministic Finite Autometa DFA with Definition, Representation with examples, Acceptability of a string and languages, Non Deterministic Finite Autometa NFA with examples, Epsilon NFA with Example, Conversion from Epsilon NFA to NFA, Conversion from NFA to DFA, Equivalence of DFA and NFA , Minimization of Deterministic Finite Autometa, Moore Machine, Mealey Machine etc.

Who this course is for:

Computer Science Engineering students
Btech comp science,bsc comp science, MCA students
Beginners of TOC