Analysis of Algorithms

Related lectures (21)

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

Explores optimization problems and greedy algorithms for efficient decision-making.

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

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

Introduces Insertion Sort, explaining its basics, insertion process, and correctness analysis.

Introduces selection and insertion sorting algorithms, explaining their correctness and time complexity.

Introduces growth of functions, sorting problem, insertion sort, computational model, and merge sort.

Covers recursion, dynamic programming, and algorithm design using divide and conquer strategies.

Introduces the merge sort algorithm through the divide-and-conquer approach, emphasizing correctness and time analysis.

Explores sorting methods, insertion sort, and algorithm comparison for efficient data organization.