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 for ...

Combinatorial optimisation algorithms are central to addressing problems in which the goal is to select an optimal solution from a finite set of alternatives. These algorithms have evolved ...

The proposed algorithm combines variational scheduling with post-processing to achieve near-optimal solutions to combinatorial optimization problems with constraints within the operation time of ...

In this graduate-level course, we will be covering advanced topics in combinatorial optimization. We will start with matchings and cover many results, extending the fundamental results of matchings, ...

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 ...

Proper market segmentation schemes should address not only how to develop feasible schemes of homogeneous market segments within designated managerial, institutional, and environmental restrictions, ...

Following a spate of deadly wildfires earlier this year, many of us find ourselves asking how we can fight such a powerful ...

Mathematics of Operations Research, Vol. 18, No. 1 (Feb., 1993), pp. 71-97 (27 pages) This paper is concerned with the design and probabilistic analysis of algorithms for the maximum-flow problem and ...

The AQT Quantum HYBRID algorithms mix quantum techniques with high-performance classical computation to solve integer-based ...

This course is available on the MSc in Applicable Mathematics and MSc in Operations Research & Analytics. This course is not available as an outside option. Some familiarity with graph theory and some ...