Quick Sort: Divide-and-Conquer

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Explores Merge Sort, a sorting algorithm that divides, conquers, and combines arrays efficiently to achieve O(nlog n) time complexity.

Introduces the CS-250 Algorithms course, covering its structure, objectives, and key topics in algorithmic problem-solving.

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

Explores examples of algorithm complexity, sorting, and polynomial computations.

Covers the complexity analyses of algorithms and their worst-case time complexities.

Explains recursive sorting using Merge Sort and its linearithmic complexity.

Explores worst-case complexity, mathematical induction, and algorithms like binary search and insertion sort.

Explores sorting and recursive algorithms, including complexity analysis, maximal value, and binary search.

Explores dynamic programming for palindromic subsequences, merging binary search trees, and finding the median of two sorted arrays.