Abstract
In this work, we consider stochastic variational inequalities arising from a certain class of equilibrium problems with uncertainties. Uncertainties in the models are introduced through data that are known through their probabilistic distributions. We consider several extragradient methods for the solutions of the variational inequalities and compare their relative efficiency and eectiveness through thorough numerical comparisons. Several applications such as trac equilibrium, environmental games, and oligopolistic market equilibrium are considered.
Library of Congress Subject Headings
Stochastic inequalities; Iterative methods (Mathematics); Equilibrium (Economics)--Mathematical models
Publication Date
1-11-2016
Document Type
Thesis
Student Type
Graduate
Degree Name
Applied and Computational Mathematics (MS)
Department, Program, or Center
School of Mathematical Sciences (COS)
Advisor
Baasansuren Jadamba
Advisor/Committee Member
Linlin Chen
Advisor/Committee Member
Patricia Clark
Recommended Citation
Zhang, Xiangnan, "Iterative Methods for Stochastic Variational Inequalities" (2016). Thesis. Rochester Institute of Technology. Accessed from
https://repository.rit.edu/theses/8947
Campus
RIT – Main Campus
Comments
Physical copy available from RIT's Wallace Library at QA274.223 .Z42 2016