Recursion and Karatsuba Multiplication

Related lectures (23)

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

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

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

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

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

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

Explores loop invariants, time analysis, and the Divide-and-Conquer approach with a focus on Merge Sort.

Covers the concept of Merge Sort, a recursive sorting algorithm that divides a list into sublists until each sublist has one element.

Explains recursive sorting using Merge Sort and its linearithmic complexity.

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