Abstract: In this paper, a twisting-based consensus algorithm is put forward to deal with the event-triggered finite-time consensus for networked Lagrangian systems with directed graphs. First, a ...

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Classical density functional theory (DFT) is a powerful approach for predicting inhomogeneous fluid equilibria. The development of functionals that model the rich interparticle correlations remains a ...

A fundamental variable characterizing immiscible two-phase flow in porous media is the wetting saturation, which is the ratio between the pore volume filled with wetting fluid and the total pore ...

The BUQEYE collaboration (Bayesian Uncertainty Quantification: Errors in Your effective field theory) presents a pedagogical introduction to projection-based, reduced-order emulators for applications ...

While deep learning is successful in a number of applications, it is not yet well understood theoretically. A theoretical characterization of deep learning should answer questions about their ...

ABSTRACT: Some results in growth theory based on the Cobb-Douglas production function model are generalized when the production function is chosen to be the Constant Elasticity of Substitution (CES) ...

1 Université de Moncton, Moncton, Canada. 2 University of Science, Hochiminh City, Vietnam. 3 Ton Duc Thang University, Hochiminh City, Vietnam. The trace of a Wishart matrix, either central or ...

I would like to start to explain something about the “intrinsic volumes” for Riemannian manifolds, which are some fundamental differential geometric invariants including the volume, the total scalar ...