Results 51 to 60 of about 15,586 (220)

Time dependent evolution inclusions governed by the difference of two subdifferentials

open access: yesElectronic Journal of Qualitative Theory of Differential Equations, 2012
The purpose of this paper is to study evolution inclusions involving time dependent subdifferential operators which are non-monotone. More precisely, we study existence of solutions for the following evolution equation in a real Hilbert space $X$~: $u ...
S. Guillaume
doaj   +1 more source

Moreau-Rockafellar-Type Formulas for the Subdifferential of the Supremum Function

open access: yesSIAM Journal on Optimization, 2019
We characterize the subdifferential of the supremum function of finitely and infinitely indexed families of convex functions.
R. Correa, A. Hantoute, M. López
semanticscholar   +1 more source

New Variations and Structural Refinements of Discrete Weighted Jensen and Hermite–Hadamard Inequalities Using (α, m)‐Convex Mappings

open access: yesJournal of Mathematics, Volume 2026, Issue 1, 2026.
This article develops new Hermite–Hadamard and Jensen‐type inequalities for the class of (α, m)‐convex functions. New product forms of Hermite–Hadamard inequalities are established, covering multiple distinct scenarios. Several nontrivial examples and remarks illustrate the sharpness of these results and demonstrate how earlier inequalities can be ...
Shama Firdous   +5 more
wiley   +1 more source

Differential Stability of Convex Discrete Optimal Control Problems

open access: yes, 2017
Differential stability of convex discrete optimal control problems in Banach spaces is studied in this paper. By using some recent results of An and Yen [Appl. Anal.
An, Duong Thi Viet, Toan, Nguyen Thi
core   +1 more source

Generalized Niezgoda's Inequality with Refinements and Applications [PDF]

open access: yesSahand Communications in Mathematical Analysis
Motivated by the results of Niezgoda, corresponding to the generalization of Mercer's inequality for positive weights, in this paper, we consider real weights, for which we establish related results.
Faiza Rubab   +3 more
doaj   +1 more source

Null Controllability of Hilfer Fractional Stochastic Differential Inclusions

open access: yesFractal and Fractional, 2022
This paper gives the null controllability for nonlocal stochastic differential inclusion with the Hilfer fractional derivative and Clarke subdifferential.
Hamdy M. Ahmed   +3 more
doaj   +1 more source

Robust multitask feature learning with adaptive Huber regressions

open access: yesCanadian Journal of Statistics, Volume 53, Issue 4, December 2025.
Abstract When data from multiple tasks have outlier contamination, existing multitask learning methods perform less efficiently. To address this issue, we propose a robust multitask feature learning method by combining the adaptive Huber regression tasks with mixed regularization. The robustification parameters can be chosen to adapt to the sample size,
Yuan Zhong, Xin Gao, Wei Xu
wiley   +1 more source

Tangential Extremal Principles for Finite and Infinite Systems of Sets, II: Applications to Semi-infinite and Multiobjective Optimization [PDF]

open access: yes, 2011
This paper contains selected applications of the new tangential extremal principles and related results developed in Part I to calculus rules for infinite intersections of sets and optimality conditions for problems of semi-infinite programming and ...
Mordukhovich, Boris S., Phan, Hung M.
core   +2 more sources

Learning in random utility models via online decision problems

open access: yesInternational Journal of Economic Theory, Volume 21, Issue 4, Page 494-526, December 2025.
Abstract This paper examines the Random Utility Model (RUM) in repeated stochastic choice settings where decision‐makers lack full information about payoffs. We propose a gradient‐based learning algorithm that embeds RUM into an online decision‐making framework.
Emerson Melo
wiley   +1 more source

Generalized Newton's Method based on Graphical Derivatives [PDF]

open access: yes, 2010
This paper concerns developing a numerical method of the Newton type to solve systems of nonlinear equations described by nonsmooth continuous functions. We propose and justify a new generalized Newton algorithm based on graphical derivatives, which have
Hoheisel, T.   +3 more
core   +2 more sources

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