Results 51 to 60 of about 537,351 (283)
Expected Variational Inequalities
Variational inequalities (VIs) encompass many fundamental problems in diverse areas ranging from engineering to economics and machine learning. However, their considerable expressivity comes at the cost of computational intractability. In this paper, we introduce and analyze a natural relaxation -- which we refer to as expected variational inequalities
Brian Hu Zhang +6 more
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We introduce an inexact oracle model for variational inequalities with monotone operators, propose a numerical method that solves such variational inequalities, and analyze its convergence rate.
Dvurechensky, Pavel +9 more
core +1 more source
This Perspective charts the modeling landscape for soft manipulators, spanning sparse system identification, neural dynamics, physics‐informed models and hybrid intelligence. We examine how physics, data, sensing, adaptation and control can assume complementary roles within this landscape, and provide a framework for selecting modeling approaches ...
Wenbo Hui +4 more
wiley +1 more source
Absolute Value Variational Inequalities and Dynamical Systems
In this paper, we consider the absolute value variational inequalities. We propose and analyze the projected dynamical system associated with absolute value variational inequalities by using the projection method.
Safeera Batool +2 more
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We investigate the connections between vector variational inequalities and ordered variational inequalities in finite dimensional real vector spaces.
Linsen Xie, Jinlu Li, Wenshan Yang
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Penalization for variational inequalities
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On the optimal control for variational inequalities [PDF]
We prove an existence theorem for the optimal control of variational inequalities governed by a pseudomonotone operator: the cost is assumed to be quadratic. Then, we give an extension of the theorem to more general costs (assuming the operator to be monotone); we also give a result on a perturbation problem.
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Space‐Charge‐Driven Nonlinear Charge Transport in Silicon Reconfigurable Nonlinear‐Processing Units
Many approaches to AI hardware focus on accelerating linear operations, yet nonlinearity underpins computational expressivity. Reconfigurable nonlinear‐processing units (RNPUs) are promising computational primitives that provide nonlinear transformations directly in hardware.
Jonas Kareem +6 more
wiley +1 more source
Generalized set-valued variational inequalities
In this paper, we introduce and study a new class of variational inequalities, which is called generalized set-valued variational inequality. The projection technique is used to establish the equivalence among generalized set-valued variational ...
Muhammad Aslam Noor
doaj
Low‐Power Control Of Resistance Switching Transitions in First‐Order Memristors
Joule losses are a serious concern in modern integrated circuit design. In this regard, minimizing the energy necessary for programming memristors should be handled with care. This manuscript presents an optimal control framework, allowing to derive energy‐efficient programming voltage protocols for resistance switching devices. Following this approach,
Valeriy A. Slipko +3 more
wiley +1 more source

