Heaps and Priority Queues

Related lectures (21)

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

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

Explores heaps, heapsort, and their efficiency in implementing priority queues.

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

Explores heapsort, priority queues, and their operations, highlighting time complexity and practicality.

Covers heaps, heapsort, heap data structure, storage in arrays, and heap property maintenance.

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

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

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

Covers the divide-and-conquer algorithm for matrix multiplication and introduces the (binary) heap data structure.