Results 21 to 30 of about 19,578 (192)
Mathematics, 2022 In a real Hilbert space, let the CFPP, VIP, and HFPP denote the common fixed-point problem of countable nonexpansive operators and asymptotically nonexpansive operator, variational inequality problem, and hierarchical fixed point problem, respectively ...
Yun-Ling Cui +6 more
doaj +1 more source
Incremental Subgradient Methods for Nondifferentiable Optimization [PDF]
SIAM Journal on Optimization, 2001 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Nedic, Angelia, Bertsekas, Dimitri P.
openaire +1 more source
A delayed subgradient method for nonsmooth convex-concave min–max optimization problems
Results in Control and Optimization, 2023 In this paper, we aim to solve a convex-concave min–max optimization problem, where the convex-concave coupling function is nonsmooth in both variables.
Tipsuda Arunrat, Nimit Nimana
doaj +1 more source
Distributed subgradient methods and quantization effects [PDF]
2008 47th IEEE Conference on Decision and Control, 2008 We consider a convex unconstrained optimization problem that arises in a network of agents whose goal is to cooperatively optimize the sum of the individual agent objective functions through local computations and communications. For this problem, we use averaging algorithms to develop distributed subgradient methods that can operate over a time ...
Nedić, Angelia +3 more
openaire +2 more sources
Inference About Separable Causal Effects With Longitudinal Bivariate Ordinal Responses With Missingness and Censoring. [PDF]
Stat MedABSTRACT Causal inference has gained extensive attention in various fields, including healthcare, epidemiology, and social sciences. While many methods have been developed, most research has been directed to handle data with a univariate response variable.
Hu P, Yi GY.
europepmc +2 more sources
Axioms, 2023 In this paper, we design two inertial-type subgradient extragradient algorithms with the linear-search process for resolving the two pseudomonotone variational inequality problems (VIPs) of and the common fixed point problem (CFPP) of finite Bregman ...
Cong-Shan Wang +5 more
doaj +1 more source
Relaxation Subgradient Algorithms with Machine Learning Procedures
Mathematics, 2022 In the modern digital economy, optimal decision support systems, as well as machine learning systems, are becoming an integral part of production processes.
Vladimir Krutikov +4 more
doaj +1 more source
Subgradient Techniques for Passivity Enforcement of Linear Device and Interconnect Macromodels [PDF]
, 2012 This paper presents a class of nonsmooth convex optimization methods for the passivity enforcement of reduced-order macromodels of electrical interconnects, packages, and linear passive devices.
Calafiore, Giuseppe Carlo +2 more
core +1 more source
Bounded perturbation resilience of extragradient-type methods and their applications [PDF]
, 2017 In this paper we study the bounded perturbation resilience of the extragradient and the subgradient extragradient methods for solving variational inequality (VI) problem in real Hilbert spaces. This is an important property of algorithms which guarantees
Dong, Qiao-Li +3 more
core +3 more sources
Incremental Stochastic Subgradient Algorithms for Convex Optimization [PDF]
, 2008 In this paper we study the effect of stochastic errors on two constrained incremental sub-gradient algorithms. We view the incremental sub-gradient algorithms as decentralized network optimization algorithms as applied to minimize a sum of functions ...
Nedich, A +2 more
core +2 more sources