Graph algorithms and combinatorial optimisation form a pivotal area of research that underpins many modern computational applications. At their core, graph algorithms provide systematic methods ...

Rigetti was selected by the Defense Advanced Research Projects Agency (DARPA) to advance the state-of-the-art in quantum algorithms for solving combinatorial optimization problems as part of the ...

The Quantum Information Recursive Optimization (QIRO) algorithm is an optimization algorithm based on quantum computers, designed to tackle complex combinatorial optimization problems.

The emphasis is on the derivation of combinatorial results, including min-max relations, as well as on the corresponding algorithmic questions of how to find such objects. The intended audience ...

One must make sure that the optimization algorithms used can reach a good-enough solution in a reasonable time for a realistically large number of ports and vehicles.

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 & ...

Based on this, we study the computational complexity and algorithms to answer important questions about the cores of various games on graphs, such as maximum flow, connectivity, maximum matching, ...

The course is intended as an introduction to discrete and combinatorial techniques for solving optimisation problems, mainly involving graphs and networks. Topics covered include: minimum spanning ...

Wayne S. Desarbo, Douglas Grisaffe, Combinatorial Optimization Approaches to Constrained Market Segmentation: An Application to Industrial Market Segmentation ...