Results 81 to 90 of about 24,030 (229)

A Neurodynamic Approach to Nonsmooth Quaternion Distributed Convex Optimization With Inequality and Affine Equality Constraints [PDF]

, 2022
Guocheng Li, Linhua Luan, Sitian Qin, Jiqiang Feng   +3 more
openalex   +1 more source

A Decomposition Method with Redistributed Subroutine for Constrained Nonconvex Optimization

Abstract and Applied Analysis, 2013
A class of constrained nonsmooth nonconvex optimization problems, that is, piecewise C2 objectives with smooth inequality constraints are discussed in this paper.
Yuan Lu, Wei Wang, Li-Ping Pang, Dan Li
doaj   +1 more source

A Self-Correcting Variable-Metric Algorithm Framework for Nonsmooth Optimization [PDF]

, 2017
Frank E. Curtis, Daniel P. Robinson, Baoyu Zhou   +2 more
openalex   +1 more source

Nonsmooth analysis and optimization on partially ordered vector spaces

International Journal of Mathematics and Mathematical Sciences, 1992
Interval-Lipschitz mappings between topological vector spaces are defined and compared with other Lipschitz-type operators. A theory of generalized gradients is presented when both spaces are locally convex and the range space is an order complete vector
Thomas W. Reiland
doaj   +1 more source

General inertial proximal stochastic variance reduction gradient for nonconvex nonsmooth optimization [PDF]

, 2023
Shuya Sun, Lulu He
openalex   +1 more source

Approximate level method [PDF]

In this paper we propose and analyze a variant of the level method [4], which is an algorithm for minimizing nonsmooth convex functions. The main work per iteration is spent on 1) minimizing a piecewise-linear model of the objective function and on 2 ...
Richtarik, Peter
core  

State Estimation and Tracking Control of Saturation Sandwich Systems Based on Particle Swarm Optimization

IEEE Access
This paper proposes an integrated control framework combining a nonsmooth observer and a switching feedback law to address the state estimation and tracking control challenges of sandwich systems with saturation nonlinearities.
Xufeng Liu, Zupeng Zhou
doaj   +1 more source

Linearized ADMM for Nonconvex Nonsmooth Optimization With Convergence Analysis

IEEE Access, 2019
Linearized alternating direction method of multipliers (ADMM) as an extension of ADMM has been widely used to solve linearly constrained problems in signal processing, machine learning, communications, and many other fields.
Qinghua Liu, Xinyue Shen, Yuantao Gu
doaj   +1 more source

Approximate Optimality Conditions for Nonsmooth Optimization Problems

Taiwanese Journal of Mathematics
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Son, Ta Quang, Bao, Hua Khac, Kim, Do Sang   +2 more
openaire   +1 more source

Distributed coordination for nonsmooth convex optimization via\n saddle-point dynamics [PDF]

, 2016
Simon K. Niederländer, Jorge Cortés
openalex   +1 more source