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Related lectures (29)
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Binary Search Algorithm
Explores the binary search algorithm's efficiency in reducing search time.
Quick Sort: Divide-and-Conquer
Explores the Quick Sort algorithm, focusing on its divide-and-conquer approach and time complexity analysis.
Binary Search: Implementation and Example
Covers the binary search algorithm and provides a step-by-step example.
Complexity of Algorithms: Examples + Q&A
Explores examples of algorithm complexity, sorting, and polynomial computations.
Matrix Multiplication and Divide-and-Conquer Techniques
Discusses matrix multiplication using divide-and-conquer techniques and introduces Strassen's algorithm for improved efficiency.
Parallel Sorting: Merge Sort Algorithm
Covers the implementation of a parallel merge sort algorithm in Scala, comparing its performance with quicksort.
Heaps and Priority Queues
Explores heaps, heapsort, and priority queues, including operations and analysis.
Merge Sort: Divide-and-Conquer Approach
Introduces the merge sort algorithm through the divide-and-conquer approach, emphasizing correctness and time analysis.
Merge Sort: Divide and Conquer
Introduces growth of functions, sorting problem, insertion sort, computational model, and merge sort.