Zobrazeno 1 - 10
of 117
pro vyhledávání: '"Daoli Zhu"'
Publikováno v:
Fixed Point Theory and Applications, Vol 2010 (2010)
Let X be a generalized convex metric space, and let S, T be a pair of asymptotically nonexpansive mappings. In this paper, we will consider an Ishikawa type iteration process with errors to approximate the unique common fixed point of S and T.
Externí odkaz:
https://doaj.org/article/d5ef799ef7f84a9b97f33100e950caed
Publikováno v:
Journal of Optimization Theory and Applications. 194:220-245
Publikováno v:
Journal of Optimization Theory and Applications. 189:889-918
In this work, we develop a level-set subdifferential error bound condition with an eye toward convergence rate analysis of a variable Bregman proximal gradient (VBPG) method for a broad class of nonsmooth and nonconvex optimization problems. It is pr
VaR methods for the dynamic impawn rate of steel in inventory financing under autocorrelative return
Publikováno v:
In European Journal of Operational Research 16 November 2012 223(1):106-115
Publikováno v:
Environmental Science and Pollution Research. 27:13703-13713
High-speed rail (HSR) is one of the essential innovations in the field of transportation in the latter half of the twentieth century. In China, the rapid development of HSR has received increasing attention and resulted in a boost of tourism, with si
Publikováno v:
Propellants, Explosives, Pyrotechnics. 44:1583-1589
Publikováno v:
Transportation Research Part C: Emerging Technologies. 104:184-195
This study examines the predictability of a truckload trucker’s whereabouts, using a GPS trajectory data set from about 1000 active users of an on-line freight exchange (OFEX) platform. To describe a trucker’s whereabouts, two different location
Nonlinearly constrained nonconvex and nonsmooth optimization models play an increasingly important role in machine learning, statistics, and data analytics. In this paper, based on the augmented Lagrangian function, we introduce a flexible first-orde
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b78b077844807a3aad71cfb893ed511c
Publikováno v:
Transportation Science. 52:868-881
The rapid development of smartphone technology has led to the increased popularity of dynamic ridesharing apps used to organize ad hoc ridesharing trips between strangers on short notice. To support such real-time on-demand services, cost-sharing bet
Publikováno v:
Computers & Operations Research. 136:105504
The support vector machine (SVM) model is one of the most well-known machine learning models, which is based on the structural risk minimization (SRM) principle. The SRM principle, formulated by Vapnik in a statistical learning theory framework, can