Results 11 to 20 of about 4,621 (238)

Random-cluster representation of the Blume-Capel model [PDF]

open access: yes, 2005
The so-called diluted-random-cluster model may be viewed as a random-cluster representation of the Blume--Capel model. It has three parameters, a vertex parameter $a$, an edge parameter $p$, and a cluster weighting factor $q$.
A. Coniglio   +44 more
core   +2 more sources

A stochastic inequality for the largest order statistics from heterogeneous gamma variables

open access: yesJournal of Multivariate Analysis, 2014
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Peng Zhao 0012, N. Balakrishnan 0002
openaire   +1 more source

Optimal Control of Second Order Stochastic Evolution Hemivariational Inequalities with Poisson Jumps

open access: yesTaiwanese Journal of Mathematics, 2017
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Muthukumar, Palanisamy   +3 more
openaire   +3 more sources

APPROXIMATE CONTROLLABILITY OF FRACTIONAL ORDER STOCHASTIC VARIATIONAL INEQUALITIES DRIVEN BY POISSON JUMPS

open access: yesTaiwanese Journal of Mathematics, 2014
This paper proposes the sufficient conditions of approximate controllability for a class of fractional order stochastic variational inequalities driven by Poisson jumps. The possibilities of finding the approximate controllability of a given problem of this type introduce the smoothing system corresponding to the fractional order stochastic variational
Muthukumar, P., Rajivganthi, C.
openaire   +2 more sources

Foreign labor, peer‐networking and agricultural efficiency in the Italian dairy sector

open access: yesAgribusiness, EarlyView.
Abstract While the presence of immigrants in the agricultural sector is widely acknowledged, the empirical evidence on its economic consequences is lacking, especially from a microeconomic perspective. Using the Farm Accountancy Data Network panel data for Italian dairy farms in the period 2008–2018, the present study investigates the relationship ...
Federico Antonioli   +2 more
wiley   +1 more source

Jensen, Ostrowski and Hermite-Hadamard type inequalities for $ h $-convex stochastic processes by means of center-radius order relation

open access: yesAIMS Mathematics, 2023
<abstract><p>In optimization, convex and non-convex functions play an important role. Further, there is no doubt that convexity and stochastic processes are closely related. In this study, we introduce the notion of the $ h- $convex stochastic process for center-radius order in the setting of interval-valued functions ($ \mathcal{IVFS ...
Mujahid Abbas   +3 more
openaire   +3 more sources

A Physics Constrained Machine Learning Pipeline for Young's Modulus Prediction in Multimaterial Hyperelastic Cylinders Guided by Contact Mechanics

open access: yesAdvanced Intelligent Discovery, EarlyView.
A physics‐guided machine learning framework estimates Young's modulus in multilayered multimaterial hyperelastic cylinders using contact mechanics. A semiempirical stiffness law is embedded into a custom neural network, ensuring physically consistent predictions. Validation against experimental and numerical data on C.
Christoforos Rekatsinas   +4 more
wiley   +1 more source

“It Is Much Safer to Be Sparse than Connected”: Safe Control of Robotic Swarm Density Dynamics with PDE Optimization with State Constraints

open access: yesAdvanced Intelligent Systems, EarlyView.
This paper proposes a novel control framework to ensure safety of a robotic swarm. A feedback optimization controller is capable of driving the swarm toward a target density while keeping risk‐zone exposure below a safety threshold. Theory and experiments show how safety is more effectively achieved for sparsely connected swarms.
Longchen Niu, Gennaro Notomista
wiley   +1 more source

Comparison of semimartingales and L\'{e}vy processes

open access: yes, 2007
In this paper, we derive comparison results for terminal values of $d$-dimensional special semimartingales and also for finite-dimensional distributions of multivariate L\'{e}vy processes.
Bergenthum, Jan, Rüschendorf, Ludger
core   +1 more source

Risk‐aware safe reinforcement learning for control of stochastic linear systems

open access: yesAsian Journal of Control, EarlyView.
Abstract This paper presents a risk‐aware safe reinforcement learning (RL) control design for stochastic discrete‐time linear systems. Rather than using a safety certifier to myopically intervene with the RL controller, a risk‐informed safe controller is also learned besides the RL controller, and the RL and safe controllers are combined together ...
Babak Esmaeili   +2 more
wiley   +1 more source

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