Results 21 to 30 of about 307 (253)

On the Conjecture of Kochar and Korwar [PDF]

, 2009
In this paper, we solve for some cases a conjecture by Kochar and Korwar (1996) in relation with the normalized spacings of the order statistics related to a sample of independent exponential random variables with different scale parameter. In the case
Lillo Rodríguez, Rosa Elvira, Torrado, Nuria, Lillo, Rosa E., Wiper, Michael Peter, Wiper, Michael P., Torrado Robles, Nuria   +5 more
core   +1 more source

Laplace transforms of probability distributions and their inversions are easy on logarithmic scales [PDF]

, 1999
It is shown that, when expressing arguments in terms of their logarithms, the Laplace transform of a function is related to the antiderivative of this function by a simple convolution.
Carlo Sgarra, Franco Pellerey, Rossberg, Axel, F. Pellerey, Loisel, Stéphane, Salimeh Yasaei Sekeh, Solan, Eilon, S. Yasaei Sekeh, Pellerey, Franco, SPIZZICHINO F., SCARSINI M, Di Crescenzo A., Yasaei Sekeh S., Zhou, W, Cai, Ning, Sgarra C., Santacroce, Marina, Di Crescenzo, A., Spizzichino, Fabio, Yasaei Sekeh, S., Frostig E., Rossberg, A.G., Esther Frostig, Scarsini, Marco, SGARRA, CARLO, Ning Cai, Yam, SCP, A. G. Rossberg, Frostig, E., Bellini, F., Yung, SP, Fabio Spizzichino, Marco Scarsini, Vieille, Nicolas, Fabio Bellini, F. Bellini, Sgarra, C., DI CRESCENZO, Antonio, Bellini F.   +38 more
core   +1 more source

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

Agribusiness, 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, Simone Severini, Mauro Vigani   +2 more
wiley   +1 more source

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

Advanced 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, Panagiotis Krokidas, Vasileios Vavourakis, Clara Essmann, George Giannakopoulos   +4 more
wiley   +1 more source

First-Order Methods for Stochastic Variational Inequality Problems with Function Constraints

Mathematics of Operations Research
We study monotone function-constrained variational inequalities (FCVIs) whose feasible region is the intersection of a projection-friendly set and several convex function constraints; both the operator and the constraint functions may be smooth, nonsmooth, and/or stochastic. Computing the projection operator is challenging for FCVIs.
Digvijay Boob, Qi Deng, Mohammad Khalafi
openaire   +2 more sources

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

AIMS 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, Waqar Afzal, Thongchai Botmart, Ahmed M. Galal   +3 more
openaire   +3 more sources

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

Advanced 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

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

Asian 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, Nariman Niknejad, Hamidreza Modares   +2 more
wiley   +1 more source

Modeling and parameter estimation for fractional large‐scale interconnected Hammerstein systems

Asian Journal of Control, EarlyView.
Abstract This paper addresses the challenge of modeling and identifying large‐scale interconnected systems exhibiting memory effects, hereditary properties, and non‐local interactions. We propose a fractional‐order extension of the Hammerstein architecture that incorporates Grünwald–Letnikov operators to capture complex dynamics through multiple ...
Mourad Elloumi, Omar Naifar, Imed Bouzida   +2 more
wiley   +1 more source

Convex orderings for stochastic processes [PDF]

, 1991
summary:We consider partial orderings for stochastic processes induced by expectations of convex or increasing convex (concave or increasing concave) functionals.
Bassan, Bruno, Scarsini, Marco, B. Bassan   +2 more
core