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Lecture
Solving Recurrences
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Related lectures (21)
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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.
Sorting Algorithms: Selection and Insertion
Introduces selection and insertion sorting algorithms, explaining their correctness and time complexity.
Algorithmic Challenges: Solutions and Optimization
Explores algorithmic challenges, time complexity, optimization, recursion, and probability calculations.
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.
Quick Sort: Divide-and-Conquer
Explores the Quick Sort algorithm, focusing on its divide-and-conquer approach and time complexity analysis.
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.
Hashing and Quick Sort
Covers the efficient implementation of hash tables and the Quick Sort algorithm.
Complexity of Algorithms: Examples + Q&A
Explores examples of algorithm complexity, sorting, and polynomial computations.
