Learn how to design a randomized algorithm for hard problems, and explore some techniques and examples of using randomness in algorithm design.

DOE Randomized Algorithms for Combinatorial Scientific ComputingPlease see the full solicitation for complete information about the funding opportunity. Below is a summary assembled by the Research & ...

Randomized algorithms for very large matrix problems have received a great deal of attention in recent years. Much of this work was motivated by problems in large-scale data analysis, largely since ...

Matching algorithms to application characteristics Within any application category or set of characteristics there are many optimization algorithms that are equivalently effective. Criteria for ...

I won't be asking you about the randomized algorithm for Min-Cut which we haven't covered in class. I may ask some basic questions on randomized algorithms (and basic probability theory that we saw in ...

This study develops and implements a machine learning model to forecast expenditures in HICC Grants and Contributions programs, focusing on reimbursement-based claims. A comparative analysis of ...

Randomized algorithms have various applications in computer science and mathematics, such as cryptography, data structures, machine learning, optimization, and computational geometry.

Randomized algorithms for very large matrix problems have received a great deal of attention in recent years. Much of this work was motivated by problems in large-scale data analysis, largely since ...