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CVAR-based formulation and approximation method for stochastic variational inequalities
Xiaojun Chen
, Guihua Lin
Department of Applied Mathematics
The Hong Kong Polytechnic University
Research output
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Journal article publication
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Journal article
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Academic research
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peer-review
17
Citations (Scopus)
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Dive into the research topics of 'CVAR-based formulation and approximation method for stochastic variational inequalities'. Together they form a unique fingerprint.
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Keyphrases
Approximation Methods
100%
At-risk
100%
Conditional Value
100%
Stochastic Variational Inequality
100%
Formulation Method
100%
Monte Carlo Method
50%
Smoothing Methods
50%
Globally Convergent
50%
Value Function
50%
Smooth Approximation
50%
Convex Programming
50%
Residual Function
50%
Loss Function
50%
High Loss
50%
D-gap Function
50%
Stochastic Variational Inequality Problem
50%
Mathematics
Conditional Value At Risk
100%
Variational Inequality
100%
Stochastics
100%
Approximation Method
100%
Variational Inequality Problem
50%
Convex Programming
50%
Residual Function
50%
Loss Function
50%
Probability Theory
50%
Monte Carlo
50%