A smoothing sample average approximation method for stochastic optimization problems with CVaR risk measure
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Publication:763404
DOI10.1007/s10589-010-9328-4zbMath1261.90033OpenAlexW2031156654MaRDI QIDQ763404
Fanwen Meng, Jie Sun, Mark Goh
Publication date: 9 March 2012
Published in: Computational Optimization and Applications (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10589-010-9328-4
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Cites Work
- Unnamed Item
- Stochastic optimization problems with CVaR risk measure and their sample average approximation
- Computational aspects of minimizing conditional value-at-risk
- Solving stochastic mathematical programs with equilibrium constraints via approximation and smoothing implicit programming with penalization
- A strong law of large numbers for random compact sets
- Conditional value-at-risk bounds for compound Poisson risks and a normal approximation
- A new look at smoothing Newton methods for nonlinear complementarity problems and box constrained variational inequalities
- A nonsmooth version of Newton's method
- Stochastic programming with equilibrium constraints
- Coherent Measures of Risk
- Incorporating Asymmetric Distributional Information in Robust Value-at-Risk Optimization
- Lectures on Stochastic Programming
- Optimization and nonsmooth analysis
- Global and superlinear convergence of the smoothing Newton method and its application to general box constrained variational inequalities
- Convergence Analysis of Sample Average Approximation Methods for a Class of Stochastic Mathematical Programs with Equality Constraints
- A Regularized Sample Average Approximation Method for Stochastic Mathematical Programs with Nonsmooth Equality Constraints
- Credit risk optimization with conditional Value-at-Risk criterion
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