[图书][B] Variational analysis and applications

BS Mordukhovich - 2018 - Springer
Boris S. Mordukhovich Page 1 Springer Monographs in Mathematics Boris S. Mordukhovich
Variational Analysis and Applications Page 2 Springer Monographs in Mathematics Editors-in-Chief …

Digital twin empowered content caching in social-aware vehicular edge networks

K Zhang, J Cao, S Maharjan… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The rapid proliferation of smart vehicles along with the advent of powerful applications bring
stringent requirements on massive content delivery. Although vehicular edge caching can …

Support Vector Machine Classifier via Soft-Margin Loss

H Wang, Y Shao, S Zhou, C Zhang… - IEEE transactions on …, 2021 - ieeexplore.ieee.org
Support vector machines (SVM) have drawn wide attention for the last two decades due to
its extensive applications, so a vast body of work has developed optimization algorithms to …

A comprehensive review of the Hermite–Hadamard inequality pertaining to fractional integral operators

M Tariq, SK Ntouyas, AA Shaikh - Mathematics, 2023 - mdpi.com
In the frame of fractional calculus, the term convexity is primarily utilized to address several
challenges in both pure and applied research. The main focus and objective of this review …

[图书][B] Uncertainty quantification in variational inequalities: theory, numerics, and applications

J Gwinner, B Jadamba, AA Khan, F Raciti - 2021 - taylorfrancis.com
Uncertainty Quantification (UQ) is an emerging and extremely active research discipline
which aims to quantitatively treat any uncertainty in applied models. The primary objective of …

Deep reinforcement learning for social-aware edge computing and caching in urban informatics

K Zhang, J Cao, H Liu, S Maharjan… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Empowered with urban informatics, transportation industry has witnessed a paradigm shift.
These developments lead to the need of content processing and sharing between vehicles …

Byzantine-resilient distributed optimization of multi-dimensional functions

K Kuwaranancharoen, L Xin… - 2020 American Control …, 2020 - ieeexplore.ieee.org
The problem of distributed optimization requires a group of agents to reach agreement on a
parameter that minimizes the average of their local cost functions using information received …

Value-function-based sequential minimization for bi-level optimization

R Liu, X Liu, S Zeng, J Zhang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Gradient-based Bi-Level Optimization (BLO) methods have been widely applied to handle
modern learning tasks. However, most existing strategies are theoretically designed based …

Solving k-center problems involving sets based on optimization techniques

NT An, NM Nam, X Qin - Journal of Global Optimization, 2020 - Springer
The continuous k-center problem aims at finding k balls with the smallest radius to cover a
finite number of given points in R^ n R n. In this paper, we propose and study the following …

A globally convergent proximal Newton-type method in nonsmooth convex optimization

BS Mordukhovich, X Yuan, S Zeng, J Zhang - Mathematical Programming, 2023 - Springer
The paper proposes and justifies a new algorithm of the proximal Newton type to solve a
broad class of nonsmooth composite convex optimization problems without strong convexity …