Mario Geysen's combinatorial library, circa 1984. Credit: Courtesy of Terry Sharrer" />Mario Geysen's combinatorial library, circa 1984. Credit: Courtesy of Terry Sharrer In the early 1980s, Mario ...

This paper proposes a new mechanism for combinatorial assignment - for example, assigning schedules of courses to students - based on an approximation to competitive equilibrium from equal incomes ...

The animation displays the combinatorial sputtering procedure used by the Dahn Group at Dalhousie University. In this example a ternary is being sputtered. The composition gradients are orthogonal to ...

Combinatorial optimization problems (COPs) arise in various fields such as shift scheduling, traffic routing, and drug ...

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 ...

One of the lessons learned from the last three decades of biomedical research is that chronic diseases are rarely treated in an effective manner using single therapeutic agents, and combinatorial ...

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, ...

Annealing processors (APs) are gaining popularity for solving complex optimization problems. Fully-coupled Ising model APs ...

After obtaining feasible solutions from classical optimization, MicroAlgo CBQOA employs Continuous-Time Quantum Walk (CTQW) to search the solution space. CTQW is a random walk model in quantum ...

Combinatorial optimization problems (COPs) arise in various fields such as shift scheduling, traffic routing, and drug development. However, they are challenging to solve using traditional computers ...