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      by 
      Zhang, Minjiao, author.
      Format: 
      Excerpt: 
      -sizing problem in series with intermediate demands. For the two-echelon case, we give a polynomial-time dynamic
      by 
      Sahin, Kemal Hunkar, author.
      Format: 
      Excerpt: 
      areas such as the dynamic behavior of the system and the safety of the process have to be analyzed as
      by 
      Fu, Youran, author.
      Format: 
      Excerpt: 
      high-order Markov decision process. We combine machine learning and approximate dynamic programming
      by 
      Chen, Tao, author.
      Format: 
      Excerpt: 
      -performance accelerators using familiar parallel programming paradigms, without needing to know low-level hardware design
      by 
      Aziz, Jonathan David, author.
      Format: 
      Excerpt: 
      differential dynamic programming (DDP). The change of variable from time to orbit anomaly is accomplished by a
      by 
      Lin, Nan, author.
      Format: 
      Excerpt: 
      a sparse dynamic Bayesian network model coupled with integer programming for causal inference in
      by 
      Ma, Guangrui, author.
      Format: 
      Excerpt: 
      different stations. An approximated dynamic policy is generated based on linear programming approach.
      by 
      Prosser, Colin James, author.
      Format: 
      Excerpt: 
      distributed processing and dynamic device selection at run time are indicated. Several different approaches to