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approximation models
A classification has been proposed for empirical models of analytical peaks that systematizes known approximation models.
      
Second Generation of Correction Methods in Electron Probe X-ray Microanalysis: Approximation Models for Emission Depth Distribut
      
In this context, the calculations for elastic p+8He scattering within the JLM and eikonal-approximation models are performed by using the cluster-orbital-shell-model-approximation parameters for the density distribution.
      
The common approximation models and geometrical shapes of VOC sorption isotherms are discussed.
      
Numerical analysis of thermal convections in a three-dimensional cavity: Influence of difference in approximation models on nume
      
As results of the simulation, the effects of the differences in the three approximation models on the numerical solutions become clear.
      
The voltage maps were analyzed and the area with abnormal bipolar electrograms (>amp;lt;1.5?mV) was determined using geometric approximation models.
      
A trust-region framework for managing the use of approximation models in optimization
      
This paper presents an analytically robust, globally convergent approach to managing the use of approximation models of varying fidelity in optimization.
      
The methodology is based on approximation models generated with the utility of design of experiments methodologies and response surface methods applied on high-fidelity simulations, coupled together with classical optimization methodologies.
      
Managing approximation models in multiobjective optimization
      
Therefore, these expensive analyses are often replaced with approximation models that can be evaluated at considerably less effort.
      
The approximation models are sequentially updated during the iterative optimization process in such a way that their capability to accurately model the original functions especially in the region of our interests can be improved.
      
The models are modified and improved by using one or several sample points generated by making a good use of the predictive ability of the approximation models.
      
Managing approximation models in multiobjective optimization
      
Managing approximation models in collaborative optimization
      
The convergence of the strategy is guaranteed by employing the trust region-sequential quadratic programming framework, which validates approximation models in the trust region radius.
      
Sink-source approximation models the thermal contact zones.
      
Inspired by the notion of 'blessing and curse of uncertainty' in approximation models, we combine regression and exact interpolating surrogate models in the evolutionary search.
      
On the Design of Optimization Strategies Based on Global Response Surface Approximation Models
      
 

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