Open AccessSample average approximation method for stochastic complementarity problems with applications to supply chain supernetworks
Author(s) -
Mingzheng Wang,
Musrrat Ali,
Guo 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