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A general problem is that the selection is based on numerous criteria, such as thermodynamic performance, boundary conditions, hazard levels and environmental concerns.
By allowing the performance boundary to vary in time such that both remnant and nonremnant variations are encompassed, and imposing a Markovian evolution, the probabilistic model can be better fitted to various real conditions, thus enabling at design-time appropriate guardbands selection and effective aging mitigation/compensation techniques.
Network calculus can give out the network performance boundary.
This reveals effectively the performance boundary of this deterministic model.
The first part of this section elaborates on the lower performance boundary, providing an overview on techniques from stochastic geometry.
Both of these IPS scores are slightly lower than the ones obtained with Prior, which represents the performance boundary for the proposed separation scheme.
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Finally, future research into the use of performance boundaries for conceptual energy performance design exploration is discussed.
The second experiment identifies performance boundaries as a best practice for MDO applications to the early stage architectural design processes.
The technique is demonstrated on a model problem with non-linear analytical functions representing the outputs and performance boundaries of two coupled systems.
Yet at an early stage of designing the RCMS, decision-makers implicitly set the performance boundaries of the system while determining large parts of investments.
Thus, we have developed specialized adaptive search algorithms designed to discover performance boundaries of the autonomy using a minimal number of samples.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com