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Likewise, if bound first-order variables are assumed to range over sets (as they do in set theory), a commitment to the existence of these sets is incurred.
The design variables are assumed continuous in the optimization phase.
All other variables are assumed to remain constant.
However, in the techniques proposed so far, all the design variables are assumed to be continuous.
This is assumed throughout this paper and all variables are assumed scaled so that λ = 1.
All our variables are assumed to take integer values (i.e., there is no continuous variable); 4.
Both latent variables are assumed to follow a standard Gaussian prior.
The remaining independent variables are assumed to have positive impacts on the number of citations.
The above two random variables are assumed to be independent and normally distributed.
Both variables are assumed to be zero-mean Gaussian variables with variance.
The plate spacing in design calculation method is varied and the other independent variables are assumed to be constant.
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