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      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 
      Harper, Robert.
      Format: 
      Excerpt: 
      . Generic programming; Part VI. Infinite Data Types: 18. Inductive and co-inductive types; 19. Recursive
      by 
      Hooker, John N.
      Format: 
      Excerpt: 
      material in linear, nonlinear, and dynamic programming.</li><li>Network flow theory, due to its importance
      by 
      Hwu, Wen-mei.
      Format: 
      Excerpt: 
      Simulations 25 Financial Market Value-at-Risk Estimation using the Monte Carlo Method Part 6: Programming
      by 
      Sieniutycz, Stanislaw.
      Format: 
      Excerpt: 
      for deterministic and stochastic optimization approaches based on: nonlinear programming, dynamic