Divide-and-Conquer: Merge Sort

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Introduces Merge Sort, a divide-and-conquer algorithm for efficient array sorting, discussing correctness, runtime analysis, linear-time merging, and recurrence solving techniques.

Complexity & Induction: Algorithms & Proofs

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

Solving Recurrences

Focuses on solving recurrences in divide-and-conquer algorithms using various techniques and examples.

Merge Sort: Sorting Algorithm

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

Merge Sort: Divide and Conquer

Explores the Merge Sort algorithm, applying the Divide and Conquer approach to sorting arrays efficiently.

Algorithms in Computer Science: Search and Sort Techniques

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

Recursive Sorting: Merge Sort

Explains recursive sorting using Merge Sort and its linearithmic complexity.

Merge Sort: Divide and Conquer

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

Merge Sort: Divide, Conquer, Combine

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

Merge Sort: Divide-and-Conquer Approach

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