and how to use time and space complexity functions to compare similar algorithms. Once you’ve got these basics, you’ll be ready to learn about searching and sorting with one-dimensional arrays ...

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

Will algorithms designed for interconnected computers hold up if some of the machines are not here on Earth but flying about ...

Most problems can be solved by many different algorithms, each with its own demands on time and space. Complexity theorists sort problems into categories, called complexity classes, based on the ...

In this module the student will learn the very basics of algorithms ... bound on how the time taken to execute the algorithm grows as a function of input. The student is also exposed to the notion of ...

Development of more sophisticated ideas in data type and structure, with an introduction to the connection between data structures and the algorithms they support ... correctness and estimating time ...

In the endless chess game of cybersecurity, the Defense Advanced Research Projects Agency wants to thinks a few moves ahead, with a new program that will search for revolutionary ways to deal with ...