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For each elastic function, a collection of optimization tools analyze numerous possible implementations which enables dynamic and transparent optimization for different resources and run-time parameters.
It is assumed that the research goals can be represented and achieved by a collection of optimization tasks - the so-called masterscenarios which are specific applications of the constructed algorithm.
Then, the neighborhood for gene u can be estimated as, and the network can be estimated by joining these neighborhoods: (4) Estimating time-evolving networks using the decomposition scheme described in previous section requires solving a collection of optimization problems given in Equation (3).
We de- fine an actor interface that bridges state-space models for robotic control problems and a collection of machine learning and optimization algorithms, then demonstrate how the framework leverages programmability of sophisticated distributed robotic applications on streaming data.
This paper presents the software package Pomodoro which includes a collection of algorithms and tools for dynamic optimization.
It was our objective to conduct a psychometric evaluation and optimization of a collection of scales which assess familial RPF in individuals who belong to a vulnerable group i.e. young alcohol intoxicated patients.
We formulate the problem as an optimization of (i) a collection of linearization nodes around which individual linear models are formed and (ii) aggregation of the individual linearizations, where the linearization fields are subject to optimization.
First, we optimize the PV/wind energy system using response surface methodology (RSM) which is a collection of statistical and mathematical methods relying on optimization of response surface with design parameters.
Naive global optimization amounts to evolving a collection of realizations of this stochastic map and picking the realization with the best properties.
RSM is a collection of statistical and mathematical methods which relies on optimization of response surface with design parameters.
Response surface methodologies (RSMs), a collection of mathematical and statistical techniques that allows multivariate optimization of processes, are a useful tool for LDH-NPs customization.
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