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We look critically at the principal graphs relating thermal comfort indoors to the climate, and compare the metrics used for the climate; an exponential running mean of the mean outdoor temperature proves better than either the historic monthly mean or the current outdoor temperature.
As pedigree analysis is Non-deterministic Polynomial-time (NP) hard (Piccolboni and Gusfield, 2003), existing algorithms are either approximate or suffer exponential running times.
Enumerating ancestral configurations turns out to have exponential running time for arbitrarily shaped trees, but the number of ancestral configurations is still much smaller than the number of coalescent histories.
From the annotated tracks, it is possible to extract the angle changes observed between running phases and parameters for the exponential running and waiting pdfs along with speed distributions.
The exponential running time for algorithms designed to solve NP-complete problems in conventional computers, mostly, makes it almost impossible solving large instances of such problems in reasonable time.
However these algorithms either end up with exponential running time or turn to heuristic methods for solutions when dealing with graphs that contain cycles.
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So we can view our diffusion constant as the contribution from the exponential component of the running time distribution, plus an additional (non-Markovian) term for non-exponential running times.
Serial search algorithms often exhibit exponential run times and may require an exponential amount of storage as well.
Therefore, every subgraph isomorphism algorithm will show exponential run times with respect to the input graph size.
From observing 100 molecules in which at least 80 substructures with different size could be matched, we assume an exponential run time development with increasing subgraph size for both algorithms.
The CheR variations propagate through the signaling cascade and effectively lead to a superposition of an ensemble of exponential run length distributions in a way that a power-law run length distribution results.
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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