Analysis of algorithms

Related lectures (23)

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

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

Discusses matrix multiplication using divide-and-conquer techniques and introduces Strassen's algorithm for improved efficiency.

Discusses Strassen's algorithm for matrix multiplication and heaps, covering efficient algorithms and their applications in computer science.

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

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

Covers the Heapsort algorithm, which sorts arrays efficiently using max-heaps and introduces priority queues.

Analyzes the running time and comparisons in randomized quick sort, proving its efficiency and optimality in comparison sorting.

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

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