The graph colouring problem, a classic NP-hard challenge, is central to many practical applications such as scheduling, resource allocation and network management. Recent advances have seen the ...

Combined with algorithms that can handle such graphs it’s a great way to not only make the basic structure of a network clear, but also to model structures and systems.

A project headed by the SEI’s Scott McMillan took a step in 2020 toward standardizing graph algorithm application development in C++.

This course provides an introduction to discrete mathematics, particularly graph theory. Emphasis will be placed on the algorithmic aspects of the area. Topics to be covered include: Brief ...

Graph coloring has been employed since the 1980s to efficiently compute sparse Jacobian and Hessian matrices using either finite differences or automatic differentiation. Several coloring problems ...

An AI based on DeepMind's AlphaGo Zero AI has learned to solve graph colouring problems, which could ave many applications including allocating aeroplanes to flight routes ...

This course provides an introduction to discrete mathematics, particularly graph theory. Emphasis will be placed on the algorithmic aspects of the area. Topics to be covered include: Brief ...