Results 31 to 40 of about 96 (88)
B-arcwise connected function (BCN), Semi-infinite programming, Optimality condition, Duality, 90C34, 90C46, 26B25,
Qingxiang Zhang
core +1 more source
Equivalent formulations of the gradient
Gradient, Quadratic envelope property, Zero derivative point, Optimality condition, 90C46, 26B05, 74P20,
Sanjo Zlobec
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In this paper it is introduced a new generalized pseudo-operation with one parameter of the following form: x ⊕ɛ y = h−1(h(x) + ɛh(y)), where h is an n vector-valued continuous function, defined on a subset H of ℝn and possessing an inverse function h−1,
Bobe Alexandru +2 more
doaj +1 more source
Optimal investments for risk- and ambiguity-averse preferences: a duality approach
Model uncertainty, Ambiguity, Convex risk measures, Optimal investments, Duality theory, 91B28, 90C46, 60G44, G11, D81,
Alexander Schied
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Multiobjective optimization problem, Q-(pseudo)invex, Q-convexlike, Weakly efficient solution, Saddlepoint, KKT condition, Weak (strong, converse) duality, Lagrange function, 90C29, 90C46, 47J20,
Jia Chen, Jun Li, Jong Kim, Yeol Cho
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Quadratic nonconvex optimization, Regularized Lagrangian, Strong duality, Quadratic constraints, Linear equality constraints, Trust-region problems, Alternative theorems, 90C26, 90C46, 90C20, 90C30,
V. Jeyakumar, Guoyin Li
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Unified Robust Necessary Optimality Conditions for Nonconvex Nonsmooth Uncertain Multiobjective Optimization. [PDF]
Wang J, Li S, Feng M.
europepmc +1 more source
Solving Two-stage Quadratic Multiobjective Problems via Optimality and Relaxations [PDF]
Mathematics Subject Classification: 49K99; 65K10; 90C29; 90C46.This paper focuses on the study of robust two-stage quadratic multiobjective optimization problems.
Eberhard, A +4 more
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A Stochastic Nash Equilibrium Problem for Medical Supply Competition. [PDF]
Fargetta G, Maugeri A, Scrimali L.
europepmc +1 more source
Stability Properties for Parametric Linear Programs under Data Ambiguities [PDF]
MSC codes: 65K10; 49K99; 90C46; 90C29.In this paper, we study a new parametric robust linear problem (PRLP) whose data are allowed to be perturbed not only on the objective and constraint functions but also on the size of the uncertainty sets.
Chuong, TD, Thanh Tinh, C
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