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      by 
      Geng, Hui, author.
      Format: 
      Excerpt: 
      guaranteed convergence rate, in the second work, a new approach based on semi-infinite programming with
      by 
      Ashimov, Abdykappar A. author.
      Format: 
      Excerpt: 
      economy of a small country in the dynamic environment of the international economic order. The developed
      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 
      Brucker, Peter.
      Format: 
      Excerpt: 
      , branch-and-bound methods, local search<br>and genetic algorithms, and dynamic programming are present-<br
      by 
      Krasnogor, Natalio.
      MacEwan University Access (Unlimited Concurrent Users) from ScienceDirect
      ScienceDirect http://www.sciencedirect.com/science/book/9780444528650
      Format: 
      Excerpt: 
      -Assembled Molecular Networks -- Ch. 7: The "Programming Language" of Dynamic Self-Assembly -- Ch. 8: Self
      by 
      Bowman, Kenneth P.
      Format: 
      Excerpt: 
      programs much faster than is possible with other programming languages. An Introduction to Programming with
      by 
      Vardal, Necla
      Format: 
      Excerpt: 
      -combinator generation algorithms are compared. These algorithms have been implemented with Icon programming language
      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 
      Salzberg, Steven L., 1960-
      Format: 
      Excerpt: 
      threading by double dynamic programming / David Jones -- From computer vision to protein structure and
      by 
      Hof, John G.
      Format: 
      Excerpt: 
      ; Application of the MAXMIN Approach to Multiresource Problems; References; CHAPTER 11. MODELING DYNAMIC
      by 
      Fu, Youran, author.
      Format: 
      Excerpt: 
      high-order Markov decision process. We combine machine learning and approximate dynamic programming