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When implementation in dominant strategies is considered, only symmetric social choice functions can be implemented by symmetric mechanisms.
Some matching functions can be implemented efficiently using unweighted and weighted median filters [29, 30].
All of the TVL functions (39 functions) can be implemented in these designs.
The scaling and wavelet functions can be implemented effectively using a pair of filters, i.e., h[n] and g[n].
Those functions can be implemented by exploiting centrifugal, coriolis and capillary forces combined with specific microfluidic network.
Although the equality helper functions can be implemented by simply requiring syntactical equivalence of the compared graphs, such a strict comparison will reject many semantically equal graphs.
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Any mapping function can be implemented in this block to support the chosen digital modulation scheme.
The time-dependent window function can be implemented using one of the common windows used in digital filter design and spectrum estimation.
With QHC, a complex Boolean digital function can be implemented employing the same graphene material for interconnects and the molecule calculating parts.
The estimation of the transformation function can be implemented using a single test utterance (or extremely, a very short utterance), without the need of an additional set of adaptation data [3].
An outcome function can be implemented in this setting if and only if it is optimal for the principal for some belief over agent types which is more pessimistic, in the sense of the likelihood ratio order, than the prior.
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