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The legacy of the global financial crisis--high public debt, near zero interest rates, and at times what looks like domestic political dysfunction--suggests that nowadays policymakers have fewer policy tools to achieve their manifold objectives.
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The approach uses a stable manifold tracking objective in a computationally efficient, optimization-based switching control design.
The responsibility of equipment designers and manufacturers has increased manifold with twin objectives: (a) to minimize the probability of failure and (b) to design the features that lead to unsafe operator practices.
According to the control objectives, a manifold, which is a linear combination of the deviation of generator terminal voltage, rotor speed and active power, is chosen for the design of ISEC.
The proposed SLDML aims to explore both geometric structure and discriminant information of the data, and yields a smooth and discriminative low-dimensional embedding by adding the local discriminant terms in the optimization objectives of manifold learning.
The reasons for analyzing data from the energy subsystems are manifold and include such objectives like assessment of the overall system performance, comparison with other systems, calculation of operating costs, and prediction of energy consumption and faults etc.
Thus, this analysis gives a more realistic impression of the objective function manifold as a function of parameter values.
The approach allows for a more exhaustive and efficient exploration of the objective function manifold to find good parameter fits.
However, for highly non-linear models, such as the ODEs described above, the RMSE-based objective function manifold in the multi-parameter space is rife with a large number of local minima and therefore not suitable for parameter estimation.
Based on these observations, we hypothesize that the objective function manifold that uses a combination of RMSE and constraints gets rid of various local minima that correspond to physically meaningless parameter estimates and thus facilitates a much more efficient estimation of parameter values.
The housing is made from an acetal copolymer, which we have found causes minimal background fluorescence, and a manifold in front of the objective admits X-rays, contains a sample illumination and web-cam-based viewing system, and allows other detectors, such as the Vortex, a view of the sample.
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