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Design optimization is generated by optimizing the blade airfoil and blade cascade during development of the turbine blades.
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Partial derivative matrices needed for the optimization are generated by DAE sensitivity software.
All required derivatives, i.e. Jacobians for the integration as well as gradients and Hessians for the optimization, are generated automatically.
Ligation targets for assay optimization were generated using 500 pg extracted genomic DNA as PCR template.
The initial coordinates for the QM/MM whole-protein optimizations were generated as described previously.
ACO-DF algorithm based on trajectory information to design a real-time movement restriction and crowd optimization goal is generated for mapping relationship between target state matrix and the target group of metal information.
From optimization result, a heuristic is generated for rapid start-up of a fuel processor.
Based on the computer-aided design model of a part, the tool model, task constraints and optimization criteria the trajectory is generated in an integrated manner.
In a multi-objective optimization algorithm a landscape plan is generated for a specific lot that meets the objectives.
Through the consecutive process of structural and parametric optimization, a flexible neural network is generated in a dynamic fashion.
The low boom configuration is generated in inner optimization level by matching the target equivalent area distribution and actual equivalent area distribution.
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