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Notes 1) Choosing the right potatoes is important: too waxy or too starchy and they won't purée very well; too watery and they will be tasteless.
This follows from Theorem 1 choosing for Ψ i , 1 ≤ i ≤ d the identity function.
In the proposed strategy, the control task is partitioned into two subtasks: 1) choosing the appropriate element to be used for regulation, and 2) providing frequency regulation.
The proposed control strategy divides the control task into two subtasks: 1) choosing the balancing mechanism to operate, 2) providing frequency regulation with the chosen balancing mechanism.
We take advantage of GA's capability of global optimization and multi-objective optimization against two serious problems in conventional lens optimization techniques: (1) choosing a starting point by trial and error, and (2) combining multiple criteria to a single criterion.
Failing to choose a single location may cause the swarm to split and the queen to be lost (1); choosing poorly may limit the swarm's growth or expose it to freezing temperatures during the winter (2).
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1) Choose the vocabulary you use carefully.
Step 1: Choose your razor.
For deterministic strategies (vec {theta } in {0,1}^{c+1}), choosing the scheme parameters is much simpler.
Since (y_{n}) is bounded in (C^{2}[0,1]), choosing a subsequence and relabeling if necessary, we have (y_{n}rightarrow y) for some (yin E).
channel estimation errors and outdated CSIT, we propose to employ an over-complete basis decomposition of (hat {mathbf {H}}_{u}[n]) to obtain a sparse approximation of H u [n].1 Choosing a proper quantization codebook/dictionary (mathcal {D}) for the decomposition, we can achieve a signal denoising gain that provides the wanted robustness.
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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