Long-Time Behaviour of Langevin Algorithms with Time-dependent Energy Function
β Scribed by Gabriele Grillo
- Publisher
- John Wiley and Sons
- Year
- 1995
- Tongue
- English
- Weight
- 879 KB
- Volume
- 172
- Category
- Article
- ISSN
- 0025-584X
No coin nor oath required. For personal study only.
β¦ Synopsis
Abstract
We study the Langevin algorithm on C^β^ nβdimensional compact connected Riemannian manifolds and on IR^n^, allowing the energy function U to vary with time. We find conditions under which the distribution of the process at hand becomes indistinguishable as t β β from the βinstantaneousβ equilibrium distribution. Such conditions do not necessarily imply that U(t) converges pointwise as t β β.
π SIMILAR VOLUMES
Communicated by K
The response of unsymmetric linear multi-degree-of-freedom systems undergoing non-stationary random excitation is investigated via complex modal theory, for the case when the random process, but not its amplitude, is the same everywhere. In this paper shot noise with an arrival rate equal to the sum
The Cox proportional hazards model is the most popular model for the analysis of survival data. Time-dependent covariates can be included in a straightforward manner. In most cases such covariates will be binary, indicating some form of changing group membership, with individuals starting in group 0
In this study, the dynamic buckling of an elastic cylindrical shell with variable thickness, subject to a uniform external pressure which is a power function of time, has been considered. Initially, the fundamental relations and Donnell-type dynamic buckling equation of an elastic cylindrical shell