On conditional cuts for stochastic dual dynamic programming
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Publication:2195564
DOI10.1007/s13675-020-00123-yzbMath1441.90111arXiv1704.06205OpenAlexW3014381097MaRDI QIDQ2195564
Publication date: 26 August 2020
Published in: EURO Journal on Computational Optimization (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1704.06205
Related Items (2)
Large-scale financial planning via a partially observable stochastic dual dynamic programming framework ⋮ Statistical learning for probability-constrained stochastic optimal control
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Cites Work
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- Tree approximation for discrete time stochastic processes: a process distance approach
- Combining sampling-based and scenario-based nested Benders decomposition methods: application to stochastic dual dynamic programming
- Decomposition algorithm for large-scale two-stage unit-commitment
- Risk aversion in multistage stochastic programming: a modeling and algorithmic perspective
- The value of rolling-horizon policies for risk-averse hydro-thermal planning
- Dynamic sampling algorithms for multi-stage stochastic programs with risk aversion
- Analysis of stochastic dual dynamic programming method
- A probabilistic numerical method for fully nonlinear parabolic PDEs
- Numerical methods for the pricing of swing options: a stochastic control approach
- Rate of convergence of an empirical regression method for solving generalized backward stochastic differential equations
- On the convergence of stochastic dual dynamic programming and related methods
- Asset-liability management for Czech pension funds using stochastic programming
- Multi-stage stochastic optimization applied to energy planning
- Accelerating the regularized decomposition method for two stage stochastic linear problems
- Cut sharing for multistage stochastic linear programs with interstage dependency
- Scenario reduction in stochastic programming
- Assessing policy quality in a multistage stochastic program for long-term hydrothermal scheduling
- On the convergence of sampling-based decomposition algorithms for multistage stochastic programs
- Convergent cutting-plane and partial-sampling algorithm for multistage stochastic linear programs with recourse
- Applications of Malliavin calculus to Monte Carlo methods in finance
- Risk neutral and risk averse stochastic dual dynamic programming method
- Time-consistent risk-constrained dynamic portfolio optimization with transactional costs and time-dependent returns
- On level regularization with normal solutions in decomposition methods for multistage stochastic programming problems
- Joint chance constrained programming for hydro reservoir management
- SDDP for some interstage dependent risk-averse problems and application to hydro-thermal planning
- Sharing cuts under aggregated forecasts when decomposing multi-stage stochastic programs
- Discrete-time approximation and Monte-Carlo simulation of backward stochastic differential equations
- Structure of risk-averse multistage stochastic programs
- A regression-based Monte Carlo method to solve backward stochastic differential equations
- Convergence Analysis of Sampling-Based Decomposition Methods for Risk-Averse Multistage Stochastic Convex Programs
- A Distance For Multistage Stochastic Optimization Models
- Sampling-Based Decomposition Methods for Multistage Stochastic Programs Based on Extended Polyhedral Risk Measures
- Monte-Carlo Valuation of American Options: Facts and New Algorithms to Improve Existing Methods
- Gas Storage Hedging
- Optimal scenario tree reduction for stochastic streamflows in power generation planning problems
- The Cutting-Plane Method for Solving Convex Programs
- Functional quantization for numerics with an application to option pricing
- Valuation of energy storage: an optimal switching approach
- Version-Independence and Nested Distributions in Multistage Stochastic Optimization
- Optimal Quantization for Finance: From Random Vectors to Stochastic Processes
- Lectures on Stochastic Programming
- Decomposition and Partitioning Methods for Multistage Stochastic Linear Programs
- Optimal quadratic quantization for numerics: the Gaussian case
- Optimal stopping of Markov processes: Hilbert space theory, approximation algorithms, and an application to pricing high-dimensional financial derivatives
- Scenario Tree Generation for Multi-stage Stochastic Programs
- Adaptive Partition-Based Level Decomposition Methods for Solving Two-Stage Stochastic Programs with Fixed Recourse
- On the Convergence of Decomposition Methods for Multistage Stochastic Convex Programs
- Polyhedral Risk Measures in Stochastic Programming
- Pricing Interest-Rate-Derivative Securities
- Conditional Risk Mappings
- An Adaptive Partition-Based Approach for Solving Two-Stage Stochastic Programs with Fixed Recourse
- Applications of Malliavin calculus to Monte-Carlo methods in finance. II
- The elements of statistical learning. Data mining, inference, and prediction
- Approximation of backward stochastic differential equations using Malliavin weights and least-squares regression
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