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In template compression, the memory overhead for template storage was the same as in template selection.

In addition, the memory overhead for all five doctors was around 236.2, 47.2, and 73.2 MB for using all templates, selected template representatives, and compressed template representatives, respectively.

This section reports the performance timings of route configuration and message transmission as well as energy consumption and memory overhead for the Contiki/Zigduino implementation.

It is very important to choose a reliable routing path considering the overheads of the loss recovery mechanisms (packet loss detection and retransmission) that include memory overhead for caching, delay increase by retransmission, and additional energy consumption due to memory access and retransmission.

This is simple and incurs very little memory overhead for the construction, but its worst case running time is quadratic in the length of the string.

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This samples from the joint posterior for the parameters and missing data, but requires high memory overheads for large-scale systems.

This will require a memory overhead of O ( N ).

However, since there were 749 new GMMs for labeling the frames of the template representatives, there was an extra memory overhead of 5.4 MB.

This memory overhead (~60 GB for the human genome) can be reduced by an order of magnitude by taking advantage of some features of the BWT at the cost of a slightly higher substring search time complexity as follows.

A LFSR allows the generation of all integers from 1 to N pseudorandomly without repetition and without any memory overhead (which is important for large values of N).

d2o's memory overhead is now responsible for the fact, that its non-inplace operations which need twice the initial memory cannot profit that strongly from the cache anymore, whereas the numpy array still operates fast.

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