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 ...

Here's the corrected and polished version: Implementation of randomized greedy algorithms for solving the Knapsack Problem and Traveling Salesman Problem in C++. Educational project demonstrating ...

Abstract: Randomized search heuristics (e.g., evolutionary algorithms, simulated annealing etc.) are very appealing to practitioners, they are easy to implement and usually provide good performance.

Abstract: Distributed detection over decentralized baseband architectures has emerged as an important problem in the uplink massive MIMO systems. In this paper, the classic Kaczmarz method is fully ...

This project demonstrates the practical power and efficiency of randomized algorithms through working implementations, real-world use cases, and performance benchmarks. Each algorithm is ...

15-451/651 is an advanced undergraduate/masters algorithms class. We cover fundamental algorithmic modeling techniques (e.g. dynamic programming, graphs, network flows, linear programming), advanced ...

Algorithm design and analysis is fundamental to all areas of computer science and gives a rigorous framework for the study optimization. This course provides an introduction to algorithm design ...