Binary Search Algorithm

Related lectures (22)

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

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

Explores binary search, merge sort, recursion in algorithms, Fibonacci numbers, and dynamic programming.

Explores optimization problems and greedy algorithms for efficient decision-making.

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

Covers the basics of algorithms, the importance of studying them, data structures, and the impact of algorithms on various fields.

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

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

Introduces selection and insertion sorting algorithms, explaining their correctness and time complexity.

Covers the time complexity of algorithms and includes a quiz.