Binary Search: Implementation and Example

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

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

Covers the complexity analyses of search and sorting algorithms.

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

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

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

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

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

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

Covers the time complexity of algorithms and includes a quiz.