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Deterministic Bi-Criteria Model for Solving Stochastic Mixed Vector Variational Inequality Problems
by
Zhang, Yue
, Luo, Meiju
, Du, Menghan
in
Approximation
/ compact approximation
/ Convergence
/ Criteria
/ Design optimization
/ deterministic bi-criteria model
/ Food science
/ Inequalities (Mathematics)
/ Inequality
/ Mathematical analysis
/ Mathematical functions
/ Mathematical research
/ mixed vector variational inequality
/ sample average approximation
/ stochastic
/ Stochastic processes
/ Variational principles
2023
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Deterministic Bi-Criteria Model for Solving Stochastic Mixed Vector Variational Inequality Problems
by
Zhang, Yue
, Luo, Meiju
, Du, Menghan
in
Approximation
/ compact approximation
/ Convergence
/ Criteria
/ Design optimization
/ deterministic bi-criteria model
/ Food science
/ Inequalities (Mathematics)
/ Inequality
/ Mathematical analysis
/ Mathematical functions
/ Mathematical research
/ mixed vector variational inequality
/ sample average approximation
/ stochastic
/ Stochastic processes
/ Variational principles
2023
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Do you wish to request the book?
Deterministic Bi-Criteria Model for Solving Stochastic Mixed Vector Variational Inequality Problems
by
Zhang, Yue
, Luo, Meiju
, Du, Menghan
in
Approximation
/ compact approximation
/ Convergence
/ Criteria
/ Design optimization
/ deterministic bi-criteria model
/ Food science
/ Inequalities (Mathematics)
/ Inequality
/ Mathematical analysis
/ Mathematical functions
/ Mathematical research
/ mixed vector variational inequality
/ sample average approximation
/ stochastic
/ Stochastic processes
/ Variational principles
2023
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Deterministic Bi-Criteria Model for Solving Stochastic Mixed Vector Variational Inequality Problems
Journal Article
Deterministic Bi-Criteria Model for Solving Stochastic Mixed Vector Variational Inequality Problems
2023
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Overview
In this paper, we consider stochastic mixed vector variational inequality problems. Firstly, we present an equivalent form for the stochastic mixed vector variational inequality problems. Secondly, we present a deterministic bi-criteria model for giving the reasonable resolution of the stochastic mixed vector variational inequality problems and further propose the approximation problem for solving the given deterministic model by employing the smoothing technique and the sample average approximation method. Thirdly, we obtain the convergence analysis for the proposed approximation problem while the sample space is compact. Finally, we propose a compact approximation method when the sample space is not a compact set and provide the corresponding convergence results.
Publisher
MDPI AG
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