Merge Sort: Divide and Conquer

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

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

Covers the concept of Merge Sort, a highly efficient recursive sorting algorithm.

Introduces growth of functions, sorting problem, insertion sort, computational model, and merge sort.

Explores hashing techniques like static, extendible, and linear hashing, along with sorting methods such as external merge sort and B+ trees.

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

Covers the implementation of a parallel merge sort algorithm in Scala, comparing its performance with quicksort.

Introduces sub-algorithms and the insertion sort algorithm with a focus on pre-sorted elements.

Introduces the merge sort algorithm through the divide-and-conquer approach, emphasizing correctness and time analysis.

Covers recursion, dynamic programming, and algorithm design using divide and conquer strategies.