Results 11 to 20 of about 24,030 (229)
Minty Variational Principle for Nonsmooth Interval-Valued Vector Optimization Problems on Hadamard Manifolds [PDF]
This article deals with the classes of approximate Minty- and Stampacchia-type vector variational inequalities on Hadamard manifolds and a class of nonsmooth interval-valued vector optimization problems.
Savin Treanţă +2 more
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An active-set algorithm for solving large-scale nonsmooth optimization models with box constraints. [PDF]
It is well known that the active set algorithm is very effective for smooth box constrained optimization. Many achievements have been obtained in this field.
Yong Li, Gonglin Yuan, Zhou Sheng
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Lagrange optimality system for a class of nonsmooth convex optimization [PDF]
In this paper, we revisit the augmented Lagrangian method for a class of nonsmooth convex optimization. We present the Lagrange optimality system of the augmented Lagrangian associated with the problems, and establish its connections with the standard ...
B. Jin, T. Takeuchi
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Data-Driven Nonsmooth Optimization [PDF]
In this work, we consider methods for solving large-scale optimization problems with a possibly nonsmooth objective function. The key idea is to first specify a class of optimization algorithms using a generic iterative scheme involving only linear operations and applications of proximal operators.
Sebastian Banert +4 more
openaire +3 more sources
On solving elliptic obstacle problems by constant abs-linearization
We consider optimal control problems governed by an elliptic variational inequality of the first kind, namely the obstacle problem. The variational inequality is treated by penalization, which leads to optimization problems governed by a nonsmooth semi ...
Olga Weiß, Monika Weymuth
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Existence of Solutions for Nonconvex and Nonsmooth Vector Optimization Problems
We consider the weakly efficient solution for a class of nonconvex and nonsmooth vector optimization problems in Banach spaces. We show the equivalence between the nonconvex and nonsmooth vector optimization problem and the vector variational-like ...
Nan-Jing Huang +2 more
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For enhancing the stability of the microgrid operation, this paper proposes an optimization model considering the small-signal stability constraint.
Peijie Li +3 more
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Nonsmooth optimization refers to the general problem of minimizing (or maximizing) functions that have discontinuous gradients. This Special Issue contains six research articles that collect together the most recent techniques and applications in the ...
Napsu Karmitsa, Sona Taheri
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Frank and Wolfe’s celebrated conditional gradient method is a well-known tool for solving smooth optimization problems for which minimizing a linear function over the feasible set is computationally cheap.
de Oliveira, Welington
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Certificates of infeasibility via nonsmooth optimization [PDF]
An important aspect in the solution process of constraint satisfaction problems is to identify exclusion boxes which are boxes that do not contain feasible points.
Fendl, Hannes +2 more
core +2 more sources

