Sentence examples for broad class of stochastic from inspiring English sources

We propose an algorithm to accelerate Monte Carlo simulation for a broad class of stochastic processes.

What is more, in subsequent work he used the ideas he developed for the KPZ equation to build a general theory, the theory of regularity structures, that can be applied to a broad class of stochastic PDEs.

In recent years, a broad class of stochastic meta-heuristics, such as simulated annealing, genetic algorithm, tabu search, ant colony, and particle swarm optimization paradigms, has been developed for reliability-redundancy optimization of systems.

In this paper, these conditions are relaxed and prove that numerical solutions based on the Euler scheme will converge to the true solution of a broad class of stochastic partial differential equations.

This fundamental result is then applied to a broad class of stochastic optimization problems, in brief any problem statement where the agent (a) operates over an infinite or indefinite time horizon, and (b) has available only probabilistic information about the system's state.

Hairer has found a new approach, called the theory of regularity structures, which gives precise mathematical meaning to a broad class of stochastic PDEs and their solutions.

In practice, there is a broad class of algorithms, stochastic iterative algorithms, that often determine the performance of machine learning systems.

In all, the paper illustrates how the path-integral representation provides a unifying framework for a plethora of asymptotic perturbation methods applicable to a broad class of hybrid stochastic neural network models.

It is known that stochastic difference equations provide models that represent a broad class of discrete-time stochastic systems, and a unified representation leads to the following general model (see, e.g.,[1 6]): X n + 1 = F ( X n, e n + 1 ), n ≥ 0, (1.1).

We consider a broad class of linear dynamic stochastic rational-expectations models made of a finite number N of structural equations for N+1 endogenous variables and to be closed by one policy feedback rule.

The results are extended to a broader class of Itō stochastic differential equations.