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It uses input data reduction techniques to reduce the problem dimensions as well as the search space.
Instead, we develop dynamic reduction techniques to identify and only access promising "areas" that lead to reasonable approximate answers.
Its advantage is that we can use, at the same time, one of the previous PAPR reduction techniques to get an even smaller PAPR.
Given this initial state information, we perform a reachability analysis and then employ model reduction techniques to the reachable space of the original problem.
Indeed, there are a number of potential pitfalls when applying phase reduction techniques to a system that is not in a weakly forced regime.
This approach, called variational extended truncated balanced realization (varETBR), is based on model order reduction techniques to reduce the circuit matrices before the variational simulation.
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Moreover, benders decomposition is integrated with scenario reduction technique to solve the large-scale instances.
Controls allow for the synergy metric, descriptor space or dimensionality reduction technique to be changed dynamically.
DisSVRG adopts the variance reduction technique to update the parameters in a model.
To tackle this problem, we proposed the dimension reduction technique to correct the preliminary haze layer estimation.
Danelljan et al. [12] introduced an adaptive feature dimensionality reduction technique to reduce the computational cost while preserving tracking performance.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com