Risque et optimisation pour le management d'´ energies, 2013. ,
URL : https://hal.archives-ouvertes.fr/tel-01274340
Bundle methods in stochastic optimal power management: A disaggregated approach using preconditioner, Computational Optimization and Applications, vol.20, issue.3, pp.227-244, 2001. ,
DOI : 10.1023/A:1011202900805
Price decomposition in large-scale stochastic optimal control, 2010. ,
DOI : 10.1051/ro/2010013
URL : https://hal.archives-ouvertes.fr/hal-00545099
Decomposition of large-scale stochastic optimal control problems, RAIRO - Operations Research, vol.44, issue.3, pp.167-183, 2010. ,
DOI : 10.1051/ro/2010013
URL : https://hal.archives-ouvertes.fr/hal-00362135
A stochastic gradient type algorithm for closed-loop problems, Mathematical Programming, vol.12, issue.2, pp.51-78, 2009. ,
DOI : 10.1007/s10107-007-0201-x
URL : https://hal.archives-ouvertes.fr/hal-00983337
Dynamic Programming, 1957. ,
Functional approximations and dynamic programming, Math tables and other aides to computation, pp.247-251, 1959. ,
DOI : 10.2307/2002797
URL : http://www.dtic.mil/get-tr-doc/pdf?AD=AD0606538
Dynamic Programming and Optimal Control Athena Scientific, 2000. ,
Dynamic Programming and Optimal Control Athena Scientific, Approximate Dynamic Programming, 2012. ,
Neuro-Dynamic Programming, Athena Scientific, 1996. ,
Stochastic Multi-Stage Optimization volume 75 of Probability Theory and Stochastic Modelling, 2015. ,
Stochastic optimization of unit commitment: a new decomposition framework, IEEE Transactions on Power Systems, vol.11, issue.2, pp.1067-1073, 1996. ,
DOI : 10.1109/59.496196
Optimization by decomposition and coordination: A unified approach, IEEE Transactions on Automatic Control, vol.23, issue.2, pp.222-232, 1978. ,
DOI : 10.1109/TAC.1978.1101718
Auxiliary problem principle and decomposition of optimization problems, Journal of Optimization Theory and Applications, vol.2, issue.3, pp.277-305, 1980. ,
DOI : 10.1007/BF00934554
Decomposition Coordination Algorithms for Stochastic Optimization, SIAM J. Control Optimization, vol.28, pp.1372-1403, 1990. ,
Probabilités et potentiel, pp.Her- mann, 1975. ,
JuMP: A Modeling Language for Mathematical Optimization, SIAM Review, vol.59, issue.2, 2015. ,
DOI : 10.1137/15M1020575
URL : http://arxiv.org/abs/1508.01982
Convex Analysis and Variational Problems, Classics in Applied Mathematics. SIAM, vol.28, 1999. ,
DOI : 10.1137/1.9781611971088
Libopt?an environment for testing solvers on heterogeneous collections of problems, 2007. ,
URL : https://hal.archives-ouvertes.fr/inria-00135013
Résolution de grandsprobì emes en optimisation stochastique dynamique, Thèse de doctorat, 2010. ,
On the Convergence of Decomposition Methods for Multistage Stochastic Convex Programs, Mathematics of Operations Research, vol.40, issue.1, pp.130-145, 2015. ,
DOI : 10.1287/moor.2014.0664
URL : https://hal.archives-ouvertes.fr/hal-01208295
Dual Dynamic Programing with cut selection: Convergence proof and numerical experiments, European Journal of Operational Research, vol.258, issue.1, pp.47-57, 2017. ,
DOI : 10.1016/j.ejor.2016.10.047
Scenario tree modelling for multistage stochastic programs, Mathematical Programming, pp.371-406, 2009. ,
DOI : 10.1007/s10107-007-0197-2
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.141.5716
Stability of Multistage Stochastic Programs, SIAM Journal on Optimization, vol.17, issue.2, pp.511-525, 2006. ,
DOI : 10.1137/050632865
URL : https://hal.archives-ouvertes.fr/hal-00977507
Epiconvergence of relaxed stochastic optimization problem, p.848275, 2013. ,
URL : https://hal.archives-ouvertes.fr/hal-00848275
Contributions aux méthodes de décomposition en optimisation stochastique, Thèse de doctorat, 2014. ,
A survey on operator splitting and decomposition of convex programs, RAIRO - Operations Research, vol.51, issue.1, pp.17-41, 2017. ,
DOI : 10.1051/ro/2015065
USE OF THE PAR(p) MODEL IN THE STOCHASTIC DUAL DYNAMIC PROGRAMMING OPTIMIZATION SCHEME USED IN THE OPERATION PLANNING OF THE BRAZILIAN HYDROPOWER SYSTEM, Probability in the Engineering and Informational Sciences, pp.143-156, 2006. ,
DOI : 10.1016/0142-0615(89)90025-2
Improving the performance of Stochastic Dual Dynamic Programming, Journal of Computational and Applied Mathematics, vol.290, pp.196-208, 2015. ,
DOI : 10.1016/j.cam.2015.04.048
Multistage Stochastic Optimization, 2014. ,
DOI : 10.1007/978-3-319-08843-3
On the convergence of stochastic dual dynamic programming and related methods, Operations Research Letters, vol.36, issue.4, pp.450-455, 2008. ,
DOI : 10.1016/j.orl.2008.01.013
Approximate Dynamic Programming: Solving the Curses of Dimensionality, 2011. ,
DOI : 10.1002/9781118029176
Markov Decision Processes: Discrete Stochastic Dynamic Programming, 1994. ,
DOI : 10.1002/9780470316887
Integrals which are convex functionals, Pacific Journal of Mathematics, vol.24, issue.3, pp.525-539, 1968. ,
DOI : 10.2140/pjm.1968.24.525
Integrals which are convex functionals. II, Pacific Journal of Mathematics, vol.39, issue.2, pp.439-469, 1971. ,
DOI : 10.2140/pjm.1971.39.439
Scenarios and Policy Aggregation in Optimization Under Uncertainty, Mathematics of Operations Research, vol.16, issue.1, pp.119-147, 1991. ,
DOI : 10.1287/moor.16.1.119
URL : http://pure.iiasa.ac.at/2933/1/WP-87-119.pdf
Decomposition methods in stochastic programming, Mathematical programming, vol.79, pp.333-353, 1997. ,
Stochastic Programming volume 10 of Handbooks in Operations Research and Management Science, 2003. ,
On complexity of multistage stochastic programs, Operations Research Letters, vol.34, issue.1, pp.1-8, 2006. ,
DOI : 10.1016/j.orl.2005.02.003
Analysis of stochastic dual dynamic programming method, European Journal of Operational Research, vol.209, issue.1, pp.63-72, 2011. ,
DOI : 10.1016/j.ejor.2010.08.007
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.215.5970
Approches variationnelles et autres contributions en optimisation stochastique, 2006. ,
URL : https://hal.archives-ouvertes.fr/pastel-00001848
A stochastic model for the unit commitment problem, IEEE Transactions on Power Systems, vol.11, issue.3, pp.1497-1508, 1996. ,
DOI : 10.1109/59.535691
Feature-based methods for large-scale dynamic programming, Machine Learning, pp.59-94, 1996. ,
DOI : 10.1007/978-0-585-33656-5_5
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.15.4433
-Shaped Linear Programs with Applications to Optimal Control and Stochastic Programming, SIAM Journal on Applied Mathematics, vol.17, issue.4, pp.638-663, 1969. ,
DOI : 10.1137/0117061
Large scale experiment and optimization of a distributed stochastic control algorithm. Application to energy management problems, 2009 IEEE International Symposium on Parallel & Distributed Processing, 2009. ,
DOI : 10.1109/IPDPS.2009.5161096
URL : https://hal.archives-ouvertes.fr/hal-00390290
Nested decomposition of multistage stochastic integer programs with binary state variables. Optimization Online, p.5436, 2016. ,