Sample average approximation method for stochastic complementarity problems with applications to supply chain supernetworks | Zendy

Mingzheng Wang | Zendy; M. Montaz Ali | Zendy; Gui-Hua Lin | Zendy

Open Access

Sample average approximation method for stochastic complementarity problems with applications to supply chain supernetworks

Author(s) -

Mingzheng Wang,

M. Montaz Ali,

Gui-Hua Lin

Publication year - 2011

Publication title -

journal of industrial and management optimization

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.325

H-Index - 32

eISSN - 1553-166X

pISSN - 1547-5816

DOI - 10.3934/jimo.2011.7.317

Subject(s) - mixed complementarity problem , mathematical optimization , smoothing , complementarity (molecular biology) , computer science , stochastic programming , convergence (economics) , supply chain network , sample (material) , stochastic optimization , nonlinear system , stochastic approximation , class (philosophy) , supply chain , nonlinear complementarity problem , mathematics , supply chain management , economics , artificial intelligence , computer security , law , economic growth , chemistry , key (lock) , biology , genetics , chromatography , quantum mechanics , political science , computer vision , physics

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