Merge Sort: Divide and Conquer

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Merge Sort: Sorting Algorithm

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

Algorithms in Computer Science: Search and Sort Techniques

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

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.

Sorting Algorithms: Selection and Insertion

Introduces selection and insertion sorting algorithms, explaining their correctness and time complexity.

Complexity & Induction: Algorithms & Proofs

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

Dynamic Programming: Palindromic Subsequences

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

Merge Sort: Divide-and-Conquer

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

Quick Sort: Divide-and-Conquer

Explores the Quick Sort algorithm, focusing on its divide-and-conquer approach and time complexity analysis.

Recursive Sorting: Merge Sort

Explains recursive sorting using Merge Sort and its linearithmic complexity.

Algorithmic Challenges: Solutions and Optimization

Explores algorithmic challenges, time complexity, optimization, recursion, and probability calculations.