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 ...

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 a new development that is most likely to establish a new industry standard, scientists at Cambridge Quantum (CQ) have created a new algorithm for solving combinatorial optimization problems that ...

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 ...

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, ...

A novel combinatorial optimization algorithm sets a new quantum computing standard at the heart of the modern economy In a development that is likely to set a new industry standard, scientists at ...

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

A new technical paper titled “Analog optical computer for AI inference and combinatorial optimization” was published by researchers at Microsoft Research, Barclays and University of Cambridge.

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

This is a preview. Log in through your library . Abstract We address online linear optimization problems when the possible actions of the decision maker are represented by binary vectors. The regret ...

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 ...