Searching Algorithms: Linear and Binary Search

Related lectures (23)

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

Explains the binary search algorithm using two pointers to efficiently search a sorted list.

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

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

Explores recursion, recursive algorithms, and sorting algorithms' efficiency for problem-solving and data organization.

Covers the binary search algorithm and provides a step-by-step example.

Explores sorting and recursive algorithms, including complexity analysis, maximal value, and binary search.

Offers a recap before the Algorithms exam, covering problem-solving strategies and algorithm implementation with sample problems.

Provides a detailed review of the 2016 final exam, covering various algorithmic problems.

Covers the introduction to logarithms, algorithmic notations, and analysis of algorithm travel times.