Particle dampers’ dissipative characteristics can be difficult to predict because of their highly non-linear behavior. The application such devices in deformable vibrating systems require extensive experimental and numerical analyses; therefore, improving the efficiency when simulating particle dampers would help this regard. Two techniques often proposed speed up simulation, namely adoption a ...

We introduce a flexible and scalable class of Bayesian geostatistical models for discrete data, based on nearest-neighbor mixture processes (NNMP), referred to as NNMP. To define the joint probability mass function (pmf) over set spatial locations, we build from local mixtures conditional pmfs using directed graphical model, with acyclic graph that summarizes nearest neighbor structure. The app...