robust optimization造句
例句与造句
- Robust optimization methods invariably take a far more global view of robustness.
- His latest book is " Robust Optimization " ( 2016 ) co-authored with Shin Taguchi.
- ROFP enables the decision makers to be benefited from the capabilities of both fuzzy mathematical programming and robust optimization approaches.
- What makes this a'robust optimization'problem is the \ forall ( c, d ) \ in P clause in the constraints.
- It has been developed since the 1980s by Yakov Ben-Haim, and has found many alternatives proposed, including such classical approaches as robust optimization.
- It's difficult to find robust optimization in a sentence. 用robust optimization造句挺难的
- In such cases, online optimization can be used, which is different from other approaches such as robust optimization, stochastic optimization and Markov decision processes.
- It is widely used in diverse fields such as decision theory, control theory, economics, statistics, robust optimization, operations research, philosophy, etc.
- 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.
- 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.
- The non-probabilistic ( "'deterministic "') model has been and is being extensively used for robust optimization especially in the field of signal processing.
- 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.
- 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.
- 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.
- 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.
- 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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