Binary Search Algorithm

Related lectures (24)

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Covers the complexity analyses of search and sorting algorithms.

Covers algorithms for searching, sorting, optimization, and the Halting Problem.

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

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

Explores algorithm growth, search complexities, and logarithmic properties in depth, with practical exercises included.

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

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

Explores binary search fundamentals, efficiency, and temporal complexity in algorithmic searching.

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

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