robust optimization造句

例句与造句

1. Robust optimization methods invariably take a far more global view of robustness.
2. His latest book is " Robust Optimization " ( 2016 ) co-authored with Shin Taguchi.
3. ROFP enables the decision makers to be benefited from the capabilities of both fuzzy mathematical programming and robust optimization approaches.
4. What makes this a'robust optimization'problem is the \ forall ( c, d ) \ in P clause in the constraints.
5. It has been developed since the 1980s by Yakov Ben-Haim, and has found many alternatives proposed, including such classical approaches as robust optimization.
6. It's difficult to find robust optimization in a sentence. 用robust optimization造句挺难的
7. In such cases, online optimization can be used, which is different from other approaches such as robust optimization, stochastic optimization and Markov decision processes.
8. It is widely used in diverse fields such as decision theory, control theory, economics, statistics, robust optimization, operations research, philosophy, etc.
9. He has been a leader in continuous optimization and is best known for his work on the ellipsoid method, modern interior-point methods and robust optimization.
10. Regarding robust optimization problems, the needed solver depend on the specific formulation used, as Ben-Tal and Nemirovski formulation need a second-order cone capable solver.
11. The non-probabilistic ( "'deterministic "') model has been and is being extensively used for robust optimization especially in the field of signal processing.
12. So, the objective in this section is to place info-gap's robustness and opportuneness models in their proper context, namely within the wider frameworks of classical decision theory and robust optimization.
13. pSeven Core, embedded in company main product pSeven, provides unique proprietary and state-of-the-art algorithms for dimension reduction, design of experiments, sensitivity analysis, robust optimization strategies.
14. For well over sixty years now Maximin model has figured in classical decision theory and related areas  such as robust optimization-as the foremost non-probabilistic paradigm for modeling and treatment of severe uncertainty.
15. Theorists can examine whether info-gap robustness analysis succeeds in this task, and whether the tools that it deploys in this effort are different from those made available by Wald's ( 1945 ) Maximin paradigm especially for robust optimization.
16. This is a " global " robust optimization problem in the sense that the robustness constraint g ( x, u ) \ le b, \ forall u \ in U represents all the " possible " values of u.
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