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Related lectures (27)
Merge Sort: Divide, Conquer, Combine
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Explores Merge Sort, a sorting algorithm that divides, conquers, and combines arrays efficiently to achieve O(nlog n) time complexity.
Analysis of Algorithms
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Covers the analysis of algorithms, focusing on insertion sort and computational models.
Merge Sort: Divide-and-Conquer
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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.
Insertion Sort: Basics and Analysis
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Introduces Insertion Sort, explaining its basics, insertion process, and correctness analysis.
Derivatives, O-Notation
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Explores derivatives, O-Notation, extrema, and algorithm complexity in Analysis 1.
Hashing & Sorting
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Explores hashing techniques like static, extendible, and linear hashing, along with sorting methods such as external merge sort and B+ trees.
Analysis of Randomized Quick Sort
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Analyzes the running time and comparisons in randomized quick sort, proving its efficiency and optimality in comparison sorting.
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