Results 201 to 210 of about 61,087 (328)

On the Numerical Integration of the Fokker-Planck Equation Driven by a Mechanical Force and the Bismut-Elworthy-Li Formula. [PDF]

Entropy (Basel)
Sanders J, Muratore-Ginanneschi P.
europepmc   +1 more source

Some contributions to backward stochastic differential equations and applications

, 2019
Arij Manai
openalex   +1 more source

A Clustering Method to Solve Backward Stochastic Differential Equations with Jumps

, 2019
Liangliang Zhang
openalex   +1 more source

Bayesian Optimisation for the Experimental Sciences: A Practical Guide to Data‐Efficient Optimisation of Laboratory Workflows

Advanced Intelligent Systems, EarlyView.
This study provides an introduction to Bayesian optimisation targeted for experimentalists. It explains core concepts, surrogate modelling, and acquisition strategies, and addresses common real‐world challenges such as noise, constraints, mixed variables, scalability, and automation.
Chuan He, Martin Singull, T. Jesper Jacobsson   +2 more
wiley   +1 more source

Noise-induced bimodality in self-regulated gene networks with nonlinear promoter transitions and fast dimerization. [PDF]

J Math Biol
Hung SH, Tsai JC, Wu CC.
europepmc   +1 more source

Backward Stochastic Differential Equations Associated to a Symmetric Markov Process

, 2005
V. Bally, Étienne Pardoux, Lucreţiu Stoica   +2 more
openalex   +2 more sources

Enabling Stochastic Dynamic Games for Robotic Swarms

Advanced Intelligent Systems, EarlyView.
This paper scales stochastic dynamic games to large swarms of robots through selective agent modeling and variable partial belief space planning. We formulate these games using a belief space variant of iterative Linear Quadratic Gaussian (iLQG). We scale to teams of 50 agents through selective modeling based on the estimated influence of agents ...
Kamran Vakil, Alyssa Pierson
wiley   +1 more source

Noise-induced instability of uniform flow in single-file traffic systems. [PDF]

PNAS Nexus
Dufour O, Nicolas A, Rodney D, Cordes J, Schadschneider A, Tordeux A.   +5 more
europepmc   +1 more source

A new type of reflected backward doubly stochastic differential equations

, 2013
Auguste Aman, Yong Ren
openalex   +2 more sources

Artificial Intelligence for Multiscale Modeling in Solid‐State Physics and Chemistry: A Comprehensive Review

Advanced Intelligent Systems, EarlyView.
This review explores the transformative impact of artificial intelligence on multiscale modeling in materials research. It highlights advancements such as machine learning force fields and graph neural networks, which enhance predictive capabilities while reducing computational costs in various applications.
Artem Maevskiy, Vitalii Kapitan, Andrey Ustyuzhanin   +2 more
wiley   +1 more source