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Dataset for reservoir impoundment operation coupling parallel dynamic programming with importance sampling and successive approximation

机译：用于储层蓄积运算的数据集，具有重要性采样和连续近似的并行动态规划

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Shaokun He; Shenglian Guo; Kebing Chen; Lele Deng; Zhen Liao; Feng Xiong; Jiabo Yin;
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年度 2019
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1. Dataset for reservoir impoundment operation coupling parallel dynamic programming with importance sampling and successive approximation [J] . Shaokun He, Shenglian Guo, Kebing Chen, Data in Brief . 2019,第2期

机译：用于储层蓄积运算的数据集，具有重要性采样和连续近似的并行动态规划
2. Optimal impoundment operation for cascade reservoirs coupling parallel dynamic programming with importance sampling and successive approximation [J] . He Shaokun, Guo Shenglian, Chen Kebing, Advances in Water Resources . 2019,第Sepa期

机译：级联水库的最优蓄水作业与重要采样和逐次逼近相结合的并行动态规划
3. Optimal impoundment operation for cascade reservoirs coupling parallel dynamic programming with importance sampling and successive approximation [J] . He Shaokun, Guo Shenglian, Chen Kebing, Advances in Water Resources . 2019,第SEPa期

机译：级联水库的最优蓄水作业与重要采样和逐次逼近相结合的并行动态规划
4. Parallel dynamic programming based on stage ReConstruction and its application in reservoir operation [C] . Zheng Huitao, Duan Kai, Mei Yadong, IEEE/ACIS International Conference on Computer and Information Science . 2014

机译：基于阶段重构的并行动态规划及其在油藏调度中的应用
5. AN ANALYTICAL INVESTIGATION OF OPERATING POLICIES FOR WATER-SUPPLY RESERVOIRS IN PARALLEL (STOCHASTIC, DYNAMIC PROGRAMMING, OPTIMIZATION) [D] . SAND, GENE MARGUERITE 1984

机译：并行（随机，动态规划，优化）供水水库运行策略的分析研究
6. Dataset for reservoir impoundment operation coupling parallel dynamic programming with importance sampling and successive approximation [O] . Shaokun He, Shenglian Guo, Kebing Chen, 2019

机译：水库蓄水作业数据集将并行动态规划与重要度采样和逐次逼近相结合
7. Dynamic programming, Markov chains, and the method of successive approximations [O] . White D.J 1963

机译：动态规划，马尔可夫链和逐次逼近方法
8. DYNAMIC PROGRAMMING, NONLINEAR VARIATIONAL PROCESSES,AND SUCCESSIVE APPROXIMATIONS, [R] . bellman,richard 1965

机译：动态规划，非线性变分过程和连续逼近，

Dataset for reservoir impoundment operation coupling parallel dynamic programming with importance sampling and successive approximation

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