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An application of a new L1-optimal control technique based on linear matrix inequality optimization to a wind turbine-induction generator unit is presented.
There are different methods to change a multi-objective optimization to a single-objective optimization.
Multiple constraints imposed by economic, social and environmental considerations lead maintenance planning optimization to a major challenge for designers, owners and users of infrastructure.
The incorporation of the target PSNR transforms the optimization to a constrained procedure to ensure a minimum of image quality that must be acquired.
However, we found several limitations for applying the EAF optimization to a realistic large-scale Radio Frequency-Field Programmable Gate Array (RF-FPGA) system.
The application of a simplex optimization to a guess pulse, described by only a few free parameters, efficiently yields a comparably simple first optimized pulse of moderate fidelity.
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However, most of these techniques focus on open pit optimization to an extent that some authors argue that open pit limit optimization has reached saturation level.
We have proposed several effective optimizations to a large vocabulary speech recognizer that is based on MDT.
NMF algorithm starts with an initial estimate for and, and performs an iterative optimization to minimize a given cost function.
The dose constraints to the OARs and the HCS were adjusted accordingly during optimization to achieve a plan with a rapid dose distribution falloff.
Sali and Blundell extended this strategy to compare a range of features between proteins and used a Monte-Carlo optimization to obtain a structural superposition of relatives.
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