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Graph models have emerged as a pivotal framework in the analysis of strategic conflicts and the development of decision support systems. These models represent conflicts as networks, where nodes ...

Abstract: In this brief, the problem of inventory control in systems with perishable goods is addressed ... to the ordering signal), we propose to use the benefits of linear-quadratic optimal control.

Abstract: Networks are prevalent in many human activities such as communication, transport, energy, and water delivery and drainage. Large networks that spread over wide-space areas cross the borders ...

Want more charts like these? See our charts on the secrets of the jobless recovery, the richest 1 percent of Americans, and how the superwealthy beat the IRS. How Rich Are the Superrich? A huge sh ...

Levels of supply and demand for varying prices can be plotted on a graph as curves, and the intersection of these curves marks the equilibrium or market-clearing price at which demand equals ...

Many of these systems have been only recently discovered and are not widely known. Most cases include plots of the attractor and calculations of the spectra of Lyapunov exponents. Some important cases ...

IGN allotropes exhibit nonmonotonic bulk and linear compressibilities before their structures irreversibly transform into new configurations under large hydrostatic compression. The maximum bulk ...

3. Graph Neural Networks GNNs have a broad range of uses in various domains due to the prevalence of graph-structured data, where the lack of an Euclidean structure makes it challenging to use DNNs in ...

A research protocol for deep graph matching.