Description
This notebook contains comprehensive handwritten notes on Theory of Computation (TOC), covering fundamental concepts, definitions, and problem-solving techniques. It provides a structured approach to understanding the computational models that define problem-solving in computer science.
Topics Covered:
✅ Automata Theory: Finite Automata (DFA, NFA), Regular Expressions, and Regular Languages
✅ Formal Languages & Grammars: Context-Free Grammars, Pushdown Automata, Chomsky Hierarchy
✅ Turing Machines: Computability, Decidability, and Recursive Languages
✅ Complexity Theory: P vs NP, Time & Space Complexity, NP-Completeness
These notes are designed for students and professionals looking for a clear and concise explanation of TOC concepts, with diagrams, examples, and step-by-step derivations to enhance understanding.
???? Ideal for: Computer Science students, competitive exam aspirants, and anyone interested in the foundations of computing!






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