Asymptotic Results of Stochastic Decomposition for Two-Stage Stochastic Quadratic Programming
From MaRDI portal
Publication:5853721
DOI10.1137/19M1247796zbMath1461.90083OpenAlexW3010146039MaRDI QIDQ5853721
Publication date: 11 March 2021
Published in: SIAM Journal on Optimization (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1137/19m1247796
Related Items
Predictive stochastic programming, Coupled Learning Enabled Stochastic Programming with Endogenous Uncertainty, General Feasibility Bounds for Sample Average Approximation via Vapnik--Chervonenkis Dimension, Distribution-free algorithms for predictive stochastic programming in the presence of streaming data, Stochastic Dynamic Linear Programming: A Sequential Sampling Algorithm for Multistage Stochastic Linear Programming, Resource allocation for contingency planning: an inexact proximal bundle method for stochastic optimization, Solving Nonsmooth and Nonconvex Compound Stochastic Programs with Applications to Risk Measure Minimization
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Optimality functions in stochastic programming
- Uniform exponential convergence of sample average random functions under general sampling with applications in stochastic programming
- On the asymptotic accuracy of Efron's bootstrap
- When does bootstrap work! Asymptotic results and simulations
- Statistical approximations for stochastic linear programming problems
- Monte Carlo bounding techniques for determinig solution quality in stochastic programs
- Finite master programs in regularized stochastic decomposition
- Strong convexity in stochastic programs with complete recourse
- Newton's method for quadratic stochastic programs with recourse
- On the Rate of Convergence of Optimal Solutions of Monte Carlo Approximations of Stochastic Programs
- Convergence of Stationary Points of Sample Average Two-Stage Stochastic Programs: A Generalized Equation Approach
- Mitigating Uncertainty via Compromise Decisions in Two-Stage Stochastic Linear Programming: Variance Reduction
- Inexact Bundle Methods for Two-Stage Stochastic Programming
- Duality in quadratic programming
- Lectures on Stochastic Programming
- Robust Stochastic Approximation Approach to Stochastic Programming
- Stochastic Decomposition: An Algorithm for Two-Stage Linear Programs with Recourse
- Monotone Operators and the Proximal Point Algorithm
- The Hat Matrix in Regression and ANOVA
- Trust Region Methods
- A Proximal Stochastic Gradient Method with Progressive Variance Reduction
- A Stochastic Approximation Method
- On a Stochastic Approximation Method