Search engine for discovering works of Art, research articles, and books related to Art and Culture
Javascript must be enabled to continue!
High-Order Energy-Preserving Methods for Stochastic Poisson Systems
View through CrossRef
A family of explicit parametric stochastic Runge-Kutta methods for stochastic
Poisson systems is developed. The methods are based on perturbed collocation methods
with truncated random variables and are energy-preserving. Under certain conditions,
the truncation does not change the convergence order. More exactly, the methods retain the mean-square convergence order of the original stochastic Runge-Kutta method.
Numerical examples show the efficiency of the methods constructed.
Global Science Press
Title: High-Order Energy-Preserving Methods for Stochastic Poisson Systems
Description:
A family of explicit parametric stochastic Runge-Kutta methods for stochastic
Poisson systems is developed.
The methods are based on perturbed collocation methods
with truncated random variables and are energy-preserving.
Under certain conditions,
the truncation does not change the convergence order.
More exactly, the methods retain the mean-square convergence order of the original stochastic Runge-Kutta method.
Numerical examples show the efficiency of the methods constructed.
Related Results
Preface: phys. stat. sol. (b) 244/3
Preface: phys. stat. sol. (b) 244/3
AbstractThis is the 2nd special issue of physica status solidi (b) dedicated to materials exhibiting negative Poisson's ratio (auxetic) or other unusual or counter‐intuitive physic...
Influence of Poisson Effect of Compression Anchor Grout on Interfacial Shear Stress
Influence of Poisson Effect of Compression Anchor Grout on Interfacial Shear Stress
Abstract
The distribution and magnitude of the shear stress at the interface between the grout of a compression anchor rod and rock are strongly affected by the Poisson eff...
Lie-Poisson Numerical Method for a Class of Stochastic Lie-Poisson Systems
Lie-Poisson Numerical Method for a Class of Stochastic Lie-Poisson Systems
We propose a numerical method based on the Lie-Poisson reduction for a class of
stochastic Lie-Poisson systems. Such system is transformed to SDE on the dual $\mathfrak{g}^∗$ of th...
Introducing Optimal Energy Hub Approach in Smart Green Ports based on Machine Learning Methodology
Introducing Optimal Energy Hub Approach in Smart Green Ports based on Machine Learning Methodology
Abstract
The integration of renewable energy systems in port facilities is essential for achieving sustainable and environmentally friendly operations. This paper presents ...
Poisson Principal Bundles
Poisson Principal Bundles
We semiclassicalise the theory of quantum group principal bundles to the level of Poisson geometry. The total space X is a Poisson manifold with Poisson-compatible contravariant co...
Dispersion of Count Data: A Case Study of Poisson Distribution and Its Limitations
Dispersion of Count Data: A Case Study of Poisson Distribution and Its Limitations
Poisson distribution is one of the widely known distribution in the field of probability and statistics by statisticians. It has been widely applied in modeling of discrete observa...
Policy and regulatory framework supporting renewable energy microgrids and energy storage systems
Policy and regulatory framework supporting renewable energy microgrids and energy storage systems
The transition towards sustainable energy systems necessitates robust policy and regulatory frameworks to support the deployment of renewable energy microgrids and energy storage s...
Evaluation of Hybrid Nuclear Energy Systems
Evaluation of Hybrid Nuclear Energy Systems
Small Modular Reactor (SMR) technologies have been recently deemed by the DOE as clean energy, a low carbon-dioxide emitting “alternative energy” source. Recent UN Sustainability G...