Theory of Computation: Complexity of Problems

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Covers worst-case complexity, algorithms, and proofs including mathematical induction and recursion.

Delves into the theory of computation, covering decidability, complexity, P vs. NP, and reductions.

Provides an overview of essential search and sort algorithms in computer science.

Delves into complexity theory, focusing on the P vs NP problem and the classification of computational problems based on efficiency.

Explores algorithmic challenges, time complexity, optimization, recursion, and probability calculations.

Explores the theory of computability, decision problems, complexity classes, and the 'P vs. NP' conundrum.

Explores algorithm complexity, analyzing efficiency and worst-case scenarios of sorting algorithms.

Explores linear search, insertion sort, coin change, maximum matching, and the halting problem in algorithms.

Explains the merge sort algorithm, its correctness, and time complexity compared to other sorting algorithms.