Search Algorithms: Dichotomy Search

Related lectures (20)

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

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

Covers the complexity analyses of algorithms and their worst-case time complexities.

Explores worst-case complexity, mathematical induction, and algorithms like binary search and insertion sort.

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

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

Covers recursion, dynamic programming, and algorithm design using divide and conquer strategies.

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

Explains recursive sorting using Merge Sort and its linearithmic complexity.

Explores algorithmic complexity, comparing growth rates using Theta notation and characterizing different complexity classes.