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Theory of Computation20795 marksIntractability

Write short notes (Any two): a) Big Oh, Big Omega and Big Theta b) Tractable and Intractable Problems c) Chomsky Hierarchy

Write short notes (Any two): a) Big Oh, Big Omega and Big Theta b) Tractable and Intractable Problems c) Chomsky Hierarchy [5]

--- These are asymptotic notations used to describe the time or space complexity of algorithms as the input size n grows. --- Definition: f(n) = O(g(n)) if there exist positive constants c and n₀ such that: f(n) ≤ c · g(n) for all n ≥ n₀ - It gives the worst-case (upper bound) complexity. - Examp...

Up nextGive the formal definition of DFA and NFA. How NFA can be converted into equivalent DFA? E