[图书][B] Fundamentals of convex analysis and optimization

R Correa, A Hantoute, MA López - 2023 - Springer
This book provides a novel approach to convex analysis and convex optimization, based on
subdifferential calculus of pointwise suprema of convex functions. The main goal in writing …

Localization and quantification of partial cable damage in the long‐span cable‐stayed bridge using the abnormal variation of temperature‐induced girder deflection

G Wang, J Ye - Structural Control and Health Monitoring, 2019 - Wiley Online Library
The cable damage is one serious problem to endanger the bridge safety. Considering that
current methods of estimating cable damage still have some shortcomings during their …

Semi-quasidifferentiability in nonsmooth nonconvex multiobjective optimization

A Kabgani, M Soleimani-Damaneh - European Journal of Operational …, 2022 - Elsevier
In this paper, we extend the concept of quasidifferential to a new notion called semi-
quasidifferential. This generalization is motivated by the convexificator notion. Some …

A Sparse Neural Network-Based Control Method for Saturated Nonlinear Affine Systems

J Zhang, B Yin, J Huo, H Guo, Z Li - Actuators, 2024 - mdpi.com
Saturated nonlinear affine systems are widely encountered in many engineering fields.
Currently, most control methods on saturated nonlinear affine systems are not specifically …

[HTML][HTML] Piecewise SOS-convex moment optimization and applications via exact semi-definite programs

QY Huang, V Jeyakumar, G Li - EURO Journal on Computational …, 2024 - Elsevier
This paper presents exact Semi-Definite Program (SDP) reformulations for infinite-
dimensional moment optimization problems involving a new class of piecewise Sum-of …

Hierarchy relaxations for robust equilibrium constrained polynomial problems and applications to electric vehicle charging scheduling

TD Chuong, X Yu, A Eberhard, C Li, C Liu - Journal of Global Optimization, 2024 - Springer
In this paper, we consider a polynomial problem with equilibrium constraints in which the
constraint functions and the equilibrium constraints involve data uncertainties. Employing a …

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

R Correa, A Hantoute, MA López-Cerdá - SIAM Journal on Optimization, 2019 - SIAM
We characterize the subdifferential of the supremum function of finitely and infinitely indexed
families of convex functions. The main contribution of this paper consists of providing …

Optimality and Duality for Robust Optimization Problems Involving Intersection of Closed Sets

NC Hung, TD Chuong, NLH Anh - Journal of Optimization Theory and …, 2024 - Springer
In this paper, we study a robust optimization problem whose constraints include nonsmooth
and nonconvex functions and the intersection of closed sets. Using advanced variational …

Characterizing the solution set of convex optimization problems without convexity of constraints

N Sisarat, R Wangkeeree - Optimization Letters, 2020 - Springer
Some characterizations of solution sets of a convex optimization problem with a convex
feasible set described by tangentially convex constraints are given. The results are …

Subdifferential of the supremum via compactification of the index set

R Correa, A Hantoute, MA López - Vietnam Journal of Mathematics, 2020 - Springer
We give new characterizations for the subdifferential of the supremum of an arbitrary family
of convex functions, dropping out the standard assumptions of compactness of the index set …