The reliability of the beam is also considered with different mechanical models: simple ones using ordinary beam theory and a more elaborate one based on a stochastic finite element formulation.
Historically two different approaches have been developed: a statistical approach, based on a stochastic analysis, and a deterministic one involving the actual surfaces topography.
We introduce a simple mathematical framework based on a stochastic birth-and-death model that allows one to extract some of this information and apply it to the set of all pairs of paralogous proteins in H. pylori, E. coli, S. cerevisiae, C. elegans, D. melanogaster, and H. sapiens.
The test chosen is based on a stochastic ordering.
The proposed TV LTF model is based on a stochastic differential equation driven by Brownian motion.
The Cloudlets randomly generate utilization data every 5 minutes based on a stochastic model [3].
We study such a data-driven method based on a stochastic gradient method.
The approach is based on a stochastic particle system representing the ensemble of soot particles.
The microcrack formation and evolution in active particles is simulated based on a stochastic methodology.
For this reason, it makes sense to consider a constraint based on a stochastic concept instead of the power constant.
This method is based on a stochastic state space model, which resembles the parameter errors with stochastic quantities.
