Complexity theorists sort problems into categories, called complexity classes, based on the resource demands of the best algorithms for solving them — that is, the algorithms that run fastest or use ...

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

The student will use the techniques learned in this course and in previous courses to solve a number of logically complex programming problems using pseudocode, with an emphasis on establishing ...

Recall that O (1) is pronounced “Big Oh of 1.” (See Part 1 for a reminder of how time and space complexity measurements are used to evaluate data structures.) ...

Ever wondered how computers multiply huge numbers with hundreds or even thousands of digits? The process may seem simple, but it gets incredibly complex as numbers grow. In this video, we explore the ...

It is well known that their approach can also be used to solve the general problem, without affecting the complexity of the algorithm. In this paper, we present an algorithm to solve the economic lot ...

Will algorithms designed for interconnected computers hold up if some of the machines are not here on Earth but flying about in space, onboard satellites or spacecraft?