Automata Tutorial
Last Updated :
30 Jan, 2025
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Automata Theory is a branch of the Theory of Computation. It deals with the study of abstract machines and their capacities for computation. An abstract machine is called the automata. It includes the design and analysis of automata, which are mathematical models that can perform computations on strings of symbols according to a set of rules.
Why we study Theory of Computation?
- Regular Expressions (RE) : Used for pattern matching in Linux/Unix command prompt, programming languages and XML/DTD to describe structure.
- Finite Automata in Modeling Systems : Used in designing and checking models and electronic circuits that operate based on certain rules.
- Context-Free Grammars (CFG) : Used in Compiler / Programming Language design to describe syntax and natural language processing to describe structure.
- Mathematical Models : Mathematical understanding of computing devices by mathematically modeling them.
- Building Block for Quantam Computing: Turing Machines (we study in this subject) are considered a fundamental building block for understanding quantum computation models.
- Optimizing Algorithm Efficiency : Helps classify problems based (e.g., P, NP, NP-complete, and NP-hard), proving that some problems have no efficient solutions.
- Understanding Computability : Study of which problems can be solved using algorithms, essentially defining the boundaries of what a computer can calculate.. Problems like the "Halting Problem" which are demonstrably impossible to solve with a general algorithm.
Please refer Why we Study Theory of Computation? for details.
Automata – Introduction
Regular Expression and Finite Automata
- Finite Automata Introduction
- Arden’s Theorem
- L-graphs and what they represent
- Hypothesis (language regularity) and algorithm (L-graph to NFA)
- Regular Expressions, Regular Grammar and Regular Languages
- How to identify if a language is regular or not
- Designing Finite Automata from Regular Expressions
- Star Height of Regular Expression and Regular Language
- Generating regular expression from finite automata
- Designing Deterministic Finite Automata (Set 2)
- NFA to DFA Conversion
- Program to Implement NFA with epsilon move to DFA Conversion
- Minimization of DFA
- Kleene’s Theorem Part-1
- MEALY and MOORE Machines
- Difference between Mealy machine and Moore machine
- Problems on Finite Automata
- Operations on DFA
>> Quiz on Regular Languages and Finite Automata
CFG (Context Free Grammar)
- Relationship between grammar and language
- Simplifying Context Free Grammars
- Closure Properties of Context Free Languages(CFL)
- Union & Intersection of Regular languages with CFL
- Converting Context Free Grammar to Chomsky Normal Form
- Converting Context Free Grammar to Greibach Normal Form
- Pumping Lemma
- Check if the language is Context Free or Not
- Ambiguity in Context Free Grammar
- Operator grammar and precedence parser
- Context-sensitive Grammar (CSG) and Language (CSL)
PDA (Pushdown Automata)
- Pushdown Automata
- Pushdown Automata Acceptance by Final State
- Detailed Study of PushDown Automata
- Problems on Pushdown Automata
>> Quiz on Context Free Languages and Pushdown Automata
Turing Machine
- Turing Machine
- Halting Problem
- Theory of Computation | Applications of various Automata
- Turing Machine as Comparator
- Problems on Turing Machine
>> Quiz on Turing Machines and Recursively Enumerable Sets
Decidability
- Decidable and undecidable problems
- Decidability
- Undecidability and Reducibility
- NP-Completeness | Set 1 (Introduction)
- Proof that Hamiltonian Path is NP-Complete
- Proof that vertex cover is NP complete
- Computable and non-computable problems