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These TNs enable to further reduce the data size by using optimization-based algorithms to find factor matrices and optimize using linear and nonlinear least square methods.
One simple method is to optimize using several different numerical method, i.e. different optimization algorithms and different weighting schemes, to see how much the "best fit" parameter estimates change.
However, many host-targeted agents are natural products, which can be difficult to optimize using synthetic chemistry alone.
A simulation model of the building is used to proactively optimize, using both current and future information about the external weather condition and the building state, a combined criterion composed of the energy consumption and the thermal comfort index.
In conclusion, the Reinitz function appears to be difficult to optimize using gradient-based methods.
The models solve and optimize using standard and widely available hardware and software and can be presented in the context of a user-friendly interface.
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First of all, graphene-based DNA sensor model is optimized using particle swarm optimization algorithm.
Transfection efficiencies were optimized using an siRNA optimization kit (Amaxa, Lonza).
Reads were assembled using Velvet (Zerbino and Birney 2008), parameters were optimized using the Velvet-optimizer script [64].
For prediction, the model was optimized using an iterative procedure rather than simultaneous optimization of all parameters using Baum-Welch.
Carburisation was optimized using a 4 1 (H2/CH4) reagent ratio at 650 °C.
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