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 ...

Ever wondered how computers multiply huge numbers with hundreds or even thousands of digits? The process may seem simple, but ...

Brief Description of Course Content Covers the fundamentals of algorithms and various algorithmic strategies, including time and space complexity, sorting algorithms, recurrence relations, divide and ...

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.) ...

We consider the n-period economic lot sizing problem, where the cost coefficients are not restricted in sign. In their seminal paper, H. M. Wagner and T. M. Whitin proposed an O (n 2) algorithm for ...

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?