Heaps and Heapsort

Related lectures (23)

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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.

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

Explores heaps, heapsort, and priority queues, including operations and analysis.

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

Focuses on solving 2019 Algorithms Midterm Exam problems and analyzing time complexities.

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

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

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

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