Results 21 to 30 of about 4,731,628 (237)
Exploiting Block Structures of KKT Matrices for Efficient Solution of Convex Optimization Problems
IEEE Access, 2021 Convex optimization solvers are widely used in the embedded systems that require sophisticated optimization algorithms including model predictive control (MPC).
Zafar Iqbal +4 more
doaj +1 more source
Distributed Online Convex Optimization With an Aggregative Variable [PDF]
IEEE Transactions on Control of Network Systems, 2020 This article investigates distributed online convex optimization in the presence of an aggregative variable without any global/central coordinators over a multiagent network.
Xiuxian Li, Xinlei Yi, Lihua Xie
semanticscholar +1 more source
An inexact accelerated stochastic ADMM for separable convex optimization [PDF]
Computational optimization and applications, 2020 An inexact accelerated stochastic Alternating Direction Method of Multipliers (AS-ADMM) scheme is developed for solving structured separable convex optimization problems with linear constraints.
Jianchao Bai, W. Hager, Hongchao Zhang
semanticscholar +1 more source
Large-Scale Convex Optimization
, 2022 Starting from where a first course in convex optimization leaves off, this text presents a unified analysis of first-order optimization methods – including parallel-distributed algorithms – through the abstraction of monotone operators.
Ernest K. Ryu, W. Yin
semanticscholar +1 more source
Learning Convex Optimization Models [PDF]
IEEE/CAA Journal of Automatica Sinica, 2020 A convex optimization model predicts an output from an input by solving a convex optimization problem. The class of convex optimization models is large, and includes as special cases many well-known models like linear and logistic regression.
Akshay Agrawal +2 more
semanticscholar +1 more source
Convex projection and convex multi-objective optimization [PDF]
Journal of Global Optimization, 2021 AbstractIn this paper we consider a problem, called convex projection, of projecting a convex set onto a subspace. We will show that to a convex projection one can assign a particular multi-objective convex optimization problem, such that the solution to that problem also solves the convex projection (and vice versa), which is analogous to the result ...
Gabriela Kováčová, Birgit Rudloff
openaire +4 more sources
Applied Sciences, 2020 With the joint optimization of the electricity−gas−heating system (EGHS) attracting more and more attention, a distributed optimized scheduling framework for EGHS based on an improved alternating direction method of multipliers (ADMM ...
Hanxin Zhu +3 more
doaj +1 more source
RBCC Mid-section Combined Trajectory Optimization Method Based on Particle Swarm-Pseudospectral Convex Optimization [PDF]
Hangkong bingqiIn order to solve the problem of combined trajectory optimization of RBCC mid-section, a nested optimization method based on particle swarm-pseudospectral convex optimization is proposed.
Yang Yuxuan, Fei Wanghua, Liu Haili, Wang Peichen, Yan Xunliang
doaj +1 more source
On convex optimization without convex representation [PDF]
Optimization Letters, 2011 7 pages; 1 ...
openaire +3 more sources
Bandwidth Maximization of Disturbance Observer Based on Experimental Frequency Response Data
SICE Journal of Control, Measurement, and System Integration, 2020 A disturbance observer (DOB) has been widely employed in industrial field due to its simplicity and effectiveness in disturbance rejection. This paper focuses on systematic bandwidth-maximized DOB design by frequency response data-based convex ...
Xiaoke Wang +2 more
doaj +1 more source