Covers the fundamentals of algorithms and various algorithmic strategies, including time and space complexity, sorting algorithms, recurrence relations, divide and conquer algorithms, greedy ...

and process data efficiently using sophisticated data structures and algorithms Design algorithms and analyze their complexity in terms of running time and space usage Create applications that are ...

In a dataset of size n, the algorithm effectively halves the search space with each iteration. As a result, the time complexity of binary search can be written as: This logarithmic progression ...

A study led by Professor Ginestra Bianconi from Queen Mary University of London, in collaboration with international ...

Efficiency looks at how much time it takes to run a particular algorithm and how much space is needed. By using both measurements, an algorithm that looks much more complex can actually be more ...