Sentences with phrase «stochastic dynamical systems»

«We first state the main problem of the statistical analysis of stochastic dynamical systems as we understand it: based on a statistical analysis of these systems, to reveal their common features that are realized with probability one, i.e., for almost every realization of the relevant dynamical system.

«Here, we restrict ourself to analyzing stochastic dynamical systems with random parametric excitation.

The IMA (Institute for Mathematics and its Applications) has a 2013 Thematic Year on Infinite Dimensional and Stochastic Dynamical Systems and their Applications with a workshop on Atmospheres and Oceans.

Not exact matches

In our discussions of chaos or complexity theory, we have established the underlying non-deterministic (Or stochastic) nature of all dynamical systems with interactive and self - organizing component parts.

These scientists and research groups have complementary expertise in numerical analysis, computational science, dynamical systems, statistics, and stochastic processes.

The first group participates in an intensive 4 - week collaborative learning experience on dynamical systems (broadly understood to include stochastic processes), modeling, and computational methods.

This was accomplished using a stochastic climate model based on the concept that ocean temperature variability is a slow dynamical system, a red noise signal, generated by integrating stochastic atmospheric forcing, or white noise71.

There may be reason to strongly suspect that in any sufficiently complicated dynamical system model (such as climate) with stochastic parameters (e.g., exactly when and where a lightning strike starts a major wildfire or a major submarine earthquake perturbs ocean circulation in a region or a major volcanic eruption introduces stratospheric aerosols), it is almost certain that any given run of the model will have periods of significant deviation from the mean of multiple runs.

(The original article has a great deal of interesting discussion under it, for those with the stomach for talk of strange attractors, dynamical systems, and stochastic processes.)

Lorenz type chaos is a phenomenon that is true only for simple systems of few dominating variables, which follow their dynamical equations with high precision without significant stochastic disruptions.

This work is based on a weaving together of recent results from three mathematical disciplines: the ergodic theory of dynamical systems, stochastic processes, and the response theory of nonequilibrium dynamical systems.