The DOE SC program in Advanced Scientific Computing Research (ASCR) hereby announces its interest in basic research in the design, development, analysis, and scalability of randomized algorithms for ...

and randomized algorithms. Important themes that will be developed in the course include the algorithmic abstraction-design-analysis process and computational tractability (e.g., NP-completeness).

In terms of inconsistent conclusions across all relevant randomized ... analysis (TSA) to evaluate whether clinical utility of a genotype-guided warfarin initiation dosing algorithm could be ...

Randomized algorithms have become an essential tool in solving linear systems and least squares problems, particularly in large-scale applications. These algorithms leverage randomness to improve ...

The power of randomness is one of the most enduring mysteries of computation. In the last 30+ years, several algorithms have been designed which crucially use randomness and beat their deterministic ...

Nearly 30 years after Nisan and Wigderson’s landmark proof, randomized algorithms remain as popular as ever, because de-randomization can be tricky and deterministic algorithms are often efficient ...

We will learn how to analyze the complexity of the randomized quicksort/quickselect algorithms. We will learn open address hashing: a technique that simplifies hashtable design. Next we will study the ...

asymptotic analysis, recursion equations, estimation methods, elementary combinatorial arguments. Examination of problem areas such as searching and sorting, and the indicated representations and ...