When combinatorial chemistry was adopted by the pharmaceutical sector, the chemical strategies changed toward making compounds either on ready-made scaffolds, or scaffold-free (eg, combining ...

More information: Niklas Pirnay et al, An in-principle super-polynomial quantum advantage for approximating combinatorial optimization problems via computational learning theory, Science Advances ...

VIEW ALL COURSE TIMES AND SESSIONS Prerequisites CE/CS/IEMS PhDs or CS 336 or Permission of Instructor Description In this graduate-level course, we will be covering advanced topics in combinatorial ...

Elementary combinatorial problems may be classified into three different combinatorial models (selection, partition and distribution). The main goal of this research was to determine the effect of the ...

We develop a new technique that allows us to show in a unified way that many well-known combinatorial theorems, including Turan's theorem, Szemerédi's theorem and Ramsey's theorem, hold almost surely ...

This is a valuable computational study of odor responses in the early olfactory system of insects and vertebrates. The study addresses the question of how information about odor concentration is ...

Researchers developed an integrated probabilistic Ising machine that combines a custom-designed digital silicon chip with nanoscale voltage-controlled magnetic tunnel junctions pioneered by Professor ...

The 21st Conference on Integer Programming and Combinatorial Optimization (IPCO XXI) took place online on June 8-10. The conference was preceded by an online Summer School on June 6-7. The conference ...

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 ...

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 ...