Acceptance By NDFA

Duration: 4 min

This video lesson is available to enrolled students.

Return to /learn/HPSC-PGT-COMPUTER-SCIENCE/theory-of-computation/non-deterministic-fa/nfa-basics-design/asset-acceptance-by-ndfa after enrolling

Inside: a video lesson and guided study material.

Module outline

  1. HPSC Interview Preparation: Interview Preparation
  2. Python Language: Introduction to Python, Tokens, Variables, Data Types, I/O, Operators & Expressions, Control Flow & Looping, Collections & Strings, Functions & Modules, File Handling & Data Analysis, DSA using Python
  3. Data Structure & Algorithms: Introduction to DS, Array, Stack, Queue, Linked List, Tree, Graphs, Hashing, Algorithm Analysis, Sorting Algorithms, Minimum Spanning Trees, Time Complexity Analysis, Graph Theory, Shortest Path Algos
  4. Computer Networks: Introduction to CN, Data Communication, DLL: Access Control, DLL: Flow Control, Data Link Layer - Ethernet, Net Layer: IPv4 & Proto, Net Layer: IP Addressing, Transport Layer Services, TL: Congestion & UDP, Application Layer, Hardware basics, Network Security
  5. Computer System & Organisation: Basics of COA, Cache Memory Organization, Input Output Organisation, Pipelining, Instr Formats & Modes, Control Unit Design, Programming the Basic Computer
  6. Database Management System: Basics of DBMS, ER Diagram, Relational Model & Functional Dependencies, Keys & Integrity Constraints, Normalization (1NF - BCNF), Decomposition Properties & 4NF, SQL, File Organization & Indexing, Transaction Management, Concurrency Control
  7. Operating Systems: Introduction to OS, Process Management, CPU Scheduling, Process Synchronization, Deadlock, Threads & Process Creation, Memory Management, Virtual Memory, Disc Scheduling
  8. Digital Logic & Circuits: Digital Systems & Boolean Basics, Logic Gates & Hardware, Boolean Expression, Boolean Minimization, Combinational Circuit, Sequential Circuits, Number System, Number Representation
  9. Theory Of Computation: Introduction to TOC, Deterministic FA (DFA), Non-Deterministic FA, Regular Expressions, Grammar, Regular Language Properties, Pushdown Automata & CFG, Turing Machines, Moore & Mealy Machines
  10. Compiler Design: Intro to Compilers, Lexical Analysis, Grammar & CFG, Syntax Analysis: Top-Down, Syntax Analysis: Bottom-Up, Semantic Analysis & SDT, Intermediate Code Gen, Code Optimization, Run Time Environment
  11. Software Engineering: Fundamentals of Software Engineering, Software Requirements and Quality Assurance, Software Design, Estimation and Metrics, Software Testing, Software Maintenance and Configuration Management, Data Warehousing & Mining
  12. Introduction to Emerging Trends: Emerging Tech Trends
  13. Digital Society & Cyber Law: Society, Law & Ethics
  14. HPSC PGT Previous Year Paper:
  15. HPSC Assistant Professor Previous Year Paper:
  16. Live Sessions: HPSC Live Sessions, EMRS TGT/PGT Live Class
  17. Full Mock Test:
  18. HPSC PGT - MOCK Test Series:
AI summary & chapters

AI Summary

An AI-generated summary of this video lecture.

This educational video explains the concept of string acceptance in Non-Deterministic Finite Automata (NDFA). The instructor defines that a string 'w' is accepted if there exists at least one path from the initial state to a final state. He presents the formal mathematical definition $L(M) = \{w \in \Sigma^* \mid \delta^*(q_0, w) \in F\}$ and illustrates the concept by drawing a state diagram with states $q_0, q_1, q_2$. The lecture emphasizes that unlike Deterministic Finite Automata (DFA), NDFA allows multiple transitions from a single state, and acceptance depends on the existence of at least one valid path terminating in a final state.

Chapters

  1. 0:00 – 2:00 00:00-02:00

    The instructor introduces the topic 'Acceptance by NDFA' and explains that for a string 'w' defined over an alphabet $\Sigma$, multiple transitions are possible from the initial state. He displays the mathematical representation on the screen: $L(M) = \{w \in \Sigma^* \mid \delta^*(q_0, w) \in F\}$. He then begins drawing a diagram on the whiteboard, starting with state $q_0$ which has a self-loop labeled 'a, b'. He draws a transition to state $q_1$ labeled 'a' and another to state $q_2$ labeled 'a', explaining that reading 'a' from $q_0$ can lead to either staying in $q_0$ or moving to $q_1$, demonstrating the non-deterministic nature of the automaton.

  2. 2:00 – 3:58 02:00-03:58

    The instructor elaborates on the acceptance condition, emphasizing that if there exists at least one transition ending in a final state, the string is accepted. He underlines the text 'ends in any One of the final state' on the slide. He writes examples like 'a, a, a' and 'a, a' to show different paths. He discusses rejection by writing $w otin L$ and uses the example 'q0, a, a, b' to illustrate a string that might not be accepted if no path leads to a final state. He concludes by reinforcing that the existence of a single successful path is sufficient for the string to be part of the language $L(M)$.

The lecture successfully connects the theoretical definition of NDFA acceptance with a practical visual demonstration. By drawing the state diagram and tracing potential paths, the instructor clarifies that non-determinism allows for multiple possibilities, but acceptance is binary: if one path works, the string is in the language. The mathematical formula provided serves as a concise summary of this logic.

Loading lesson…