Lectures related to Matrix Multiplication and Divide-and-Conquer Techniques

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 properties of 3x3 matrices with real coefficients and determinant calculation methods.

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

Explores practical aspects of solving parity games, including winning strategies, algorithms, complexity, determinism, and heuristic approaches.

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

Explores derivatives, O-Notation, extrema, and algorithm complexity in Analysis 1.

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

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