Results 21 to 30 of about 1,073,267 (191)

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

A computational study of Ising‐based solvers for discrete landscape exploration in process optimization

AIChE Journal, EarlyView.
ABSTRACT Conceptual process design combines discrete configuration choices with continuous operating decisions, often yielding difficult mixed‐integer nonlinear or simulation‐based optimization problems. This work presents an exploratory computational assessment of Ising‐based solvers, simulated annealing, quantum annealing, and entropy computing, as ...
Yirang Park, David E. Bernal Neira
wiley   +1 more source

On Local Dependence and Stochastic Inequalities with Applications to Contingency Tables

, 2004
Inequalities, local dependence and orderings of random variables or their distribution functions are presented. The notions of local dependence, stochastic orderings are studied and compared.
Oluyede, Broderick O.
core   +1 more source

Multi‐Stage Social Value Orientation‐Based Lane‐Changing Driving for Autonomous Vehicles

Advanced Intelligent Systems, EarlyView.
A multi‐stage SVO framework is developed to dynamically infer the social preferences of surrounding vehicles from human driving data. By combining offline learning, online SVO estimation, temporal intention tracking, and interaction‐aware planning, the framework enables autonomous vehicles to adapt lane‐changing decisions and trajectories to evolving ...
Nongrui Qin, Lei Cai, Yilang Luo, Ming Yue, Hsin Guan   +4 more
wiley   +1 more source

Firm turnover under asymmetric information: Tanzania's agro‐dealer sector

American Journal of Agricultural Economics, EarlyView.
Abstract We study firm turnover (i.e., entry and exit) and its consumer implications in a market characterized by asymmetric information. Using a three‐round census of agro‐dealers in Tanzania's Morogoro Region, we document annual firm entry and exit rates of 33% and 17%, respectively.
Alix Naugler, Hope Michelson, Sarah Janzen, Christopher Magomba   +3 more
wiley   +1 more source

Scale‐space image analysis for mapping spotted knapweed in grassland ecosystems

Applications in Plant Sciences, EarlyView.
Abstract Premise This study investigates the value of scale‐space representations of spatial features for the identification and mapping of invasive plants using high‐resolution multispectral imagery. Scale‐space representations combine the two‐dimensional spatial domain with a third dimension representing spatial scale, such that features can be ...
Shohreh Sahebi, David J. Hill
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

Elitism and Stochastic Dominance [PDF]

Stochastic dominance has been typically used with a special emphasis on risk and in-equality reduction something captured by the concavity of the utility function in the expected utility model.
Stephen BAZEN (GREQAM, CNRS, UMR 6579), Patrick MOYES (GREThA, CNRS, UMR 5113)   +1 more
core   +2 more sources

Stochastic orderings by nonlinear expectations

, 2020
We study the theory of stochastic order under the nonlinear expectations framework, including g- and G-expectations, which leads to more general concepts of orderings in comparison with the standard linear expectation setting. In a summary of theoretical
Ly, Sel, Sel Ly, null null
core   +1 more source