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Related lectures (25)

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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 the main aggregation functions for statistical calculations on data sets.

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

Covers hashing, sorting, extendible hashing, linear hashing, and external sorting.

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

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.

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

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