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The aim of this paper is to improve the quality and the performances of sails by using non-linear modelling, numerical experimentation and optimization methods.
The experimentation and optimization data are presented as this output variable.
This methodology specifically utilizes both experimentation and optimization methods to determine the system's optimum operating conditions.
The main differences in respect to the classical experimentation and optimization methods (DOE, response surface methodology) are shown on Table 1.
The described challenges for deployment of CS in the clinical and research settings can be divided into obstacles that primarily require an engineering solution and problems that will likely remain areas for experimentation and optimization for years to come.
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The systematic development of new products and processes relies upon the extensive experimentation with simulation and optimization models.
In theory, identification of material properties of microscopic materials, such as thin film or single crystal, could be carried out with physical experimentation followed by simulation and optimization to fit the simulation result to the experimental data.
Topics will also include quantitative methodologies for addressing various challenges, such as accommodating multiple objectives, automating differentiation, handling uncertainty in evaluations, selecting design points for experimentation, and principled methods for optimization when evaluations are expensive.
GMB: experimental design, experimentation, and manuscript preparation, NWH: experimentation, EDL: research design and manuscript preparation.
Experimentation is required for modeling empirical functions and optimization.
This study demonstrates the effectiveness of such a three phase identification procedure comprising experimentation, optimization, and verification.
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