Search ResultsElectronic Resources 
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
Hjortland, Andrew L., author.
Format:
Excerpt:
programming. Using the optimal solution as a baseline, suboptimal service decision-making strategies were
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
Crose, Marquis Grant, author.
Format:
Excerpt:
efficient parallel programming scheme allows for significantly shortened computational times and solutions
by
Khan, Najam, author.
Format:
Excerpt:
models. Next, a methodology, based on dynamic programming, was formulated by combing the EPA's pollutant
by
Habib, Abdulelah, author.
Format:
Excerpt:
- such as motors or pumps, steel manufacturing, and data centers. Mixed integer linear programming was
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

Select an Action





