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Since orbit dynamics models and finite element structural model are computationally expensive, an adaptive response surface surrogate based optimizer is incorporated in the proposed framework to solve the satellite MDO problem with moderate computational cost, where a response surface surrogate is gradually refined to represent the computationally expensive MDA process.
To minimize the rekeying cost, their schemes utilize the dynamic split and merge with a low overhead cost, where a physical server splits and merges its traffic into multiple groups, with each group served by a dedicated server.
Ultrasound has the advantage of being a non-invasive tool with little additional cost, where a point-of-care ultrasound machine is otherwise available.
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But Cornell researchers found a single mutation introduced in one individual spread to the entire population close to one-third of the time, assuming that the CRISPR allele perfectly converted its corresponding allele, and the introduced allele carried a fitness cost where an individual produced 40percentt fewer offspring.
The preference for SMS use is explained by its relative cost, where an SMS costs two cents compared to nine to 15 cents per minute for a phone call.
The method supports the use of multiple sensors with different computational and energy costs, where a utility function captures the tradeoff between navigational performance ranking and cost.
League Two leaders Swindon head for the Priestfield Stadium (with visiting fans, now that they've been given the all-clear to attend after a row over policing costs), where a point for the Robins – or favourable results elsewhere – will ensure their promotion.
Notably, Fiedler et al. consider indirect costs where a degree of performance disruption is covered in performing required business tasks.
This is mainly due to the fixed monitoring costs, where a visit to rheumatologist is more costly than a visit to a rheumatology nurse.
For the nonlinearity compensation, the novel learning law is derived to lessen the computational cost, where only a scalar weight needs to be updated online for each output of CNN.
The mean-square error (MSE) in cost, where is an estimator of the 'true' parameters κ true, satisfies: Generally speaking, imposing constraints on the parameters may increase the bias term but decrease the variance.
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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