Liwei Zhang

The rate of convergence of augmented Lagrangian method for bilevel optimization problems with equality constraints

Xiang Liu, Mengwei Xu, Liwei Zhang

cn (code pays fourni par la source)

Halpern Acceleration of the Inexact Proximal Point Method of Rockafellar

Liwei Zhang, Ning Zhang

This paper investigates a Halpern acceleration of the inexact proximal point method for solving maximal monotone inclusion problems in Hilbert spaces. The proposed Halpern inexact proximal point method (HiPPM) is shown to be globally convergent, and a unified framework is developed to …

A Systematic Review and Quality Assessment of Pharmacoeconomic Publications for China Compared to Internationally: Is the Quality of Evidence-base Sufficient for Health Technology Assessment?

Zhixin Fan, Si Xu, Zhongxiang Wang, Liwei Zhang et autres

BACKGROUND: Pharmacoeconomic evaluations are becoming more important in China, and their research quality directly impacts government decisions, deserving extra attention. To summarize the quality of pharmacoeconomic publications for China compared to internationally and to identify areas for improvement both from a China-specific …

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Primal-Dual Algorithm for Distributed Optimization with Coupled Constraints

Kai Gong, Liwei Zhang

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A Stochastic Augmented Lagrangian Method for Stochastic Convex Programming

Jiani Wang null, Liwei Zhang

In this paper, we analyze the convergence properties of a stochastic augmented Lagrangian method for solving stochastic convex programming problems with inequality constraints. Approximation models for stochastic convex programming problems are constructed from stochastic observations of real objective and constraint functions. Based …

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Push-Pull Based Distributed Primal-Dual Algorithm for Coupled Constrained Convex Optimization in Multi-Agent Networks

Kai Gong, Liwei Zhang

This paper focuses on a distributed coupled constrained convex optimization problem over directed unbalanced and time-varying multi-agent networks, where the global objective function is the sum of all agents' private local objective functions, and decisions of all agents are subject to coupled …

Distributed Proximal-Correction Algorithm for the Sum of Maximal Monotone Operators in Multi-Agent Network

Kai Gong, Liwei Zhang

This paper focuses on a class of inclusion problems of maximal monotone operators in a multi-agent network, where each agent is characterized by an operator that is not available to any other agents, but the agents can cooperate by exchanging information with …

Decentralized Proximal Method of Multipliers for Convex Optimization with Coupled Constraints

Kai Gong, Liwei Zhang

In this paper, a decentralized proximal method of multipliers (DPMM) is proposed to solve constrained convex optimization problems over multi-agent networks, where the local objective of each agent is a general closed convex function, and the constraints are coupled equalities and inequalities. …

Is open science a double-edged sword?: data sharing and the changing citation pattern of Chinese economics articles

Liwei Zhang, Liang Ma

Data sharing is an important part of open science (OS), and more and more institutions and journals have been enforcing open data (OD) policies. OD is advocated to help increase academic influences and promote scientific discovery and development, but such a proposition …

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Augmented Lagrangian Methods for Time-varying Constrained Online Convex Optimization

Haoyang Liu, Xiantao Xiao, Liwei Zhang

In this paper, we consider online convex optimization (OCO) with time-varying loss and constraint functions. Specifically, the decision maker chooses sequential decisions based only on past information, meantime the loss and constraint functions are revealed over time. We first develop a class …

ompTG: From OpenMP Programs to Task Graphs

Jinghao Sun, Tao Jin, Yekai Xue, Liwei Zhang et autres

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Push-Pull Based Distributed Primal-Dual Algorithm for Coupled Constrained Convex Optimization in Multi-Agent Networks

Kai Gong, Liwei Zhang

cn (code pays fourni par la source)