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Rovelli is the proposer of the thermal time hypothesis, which states (so far as I understand it) that time is an illusion given substance by the statistical nature of thermodynamics (that is, the reason a cold spoon gets warmer and not colder in a cup of tea is only because it is much more likely to get warmer; for it to get colder is not actually impossible).
Closely related to the total time hypothesis is the commonly held belief that repetition is the key to success in learning.
While this would not imply that \(\sc{SAT}\) is in \ \textbf{P}\), it is incompatible with the Exponential Time Hypothesis mentioned at the end of Section 2.2.
While some scenes from the movie tend to reinforce the "they knew the entire time" hypothesis (as does Schulman's shit-eating grin throughout) the "whether or not any of the boys suspected it" issue is complicated and best left to individual viewer discretion.
In this note, we show that there are no algorithms of running time O⁎ 2ck) and O⁎ 2cklog2k) for the two restrictions of WSP, respectively, with any c<1, unless the Strong Exponential Time Hypothesis fails.
Additionally, we prove that, unless the Exponential Time Hypothesis is false, no 2o √k)nO(1 -time solution exists for either problem, which shows that our algorithm for partial words is close to optimal.
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Looking at the results summarized in Fig. 17, the station more utilized on the Naples-Formia corridor is represented by Aversa, with utilization rates acceptable in all the dwell time hypotheses.
Under this assumption the separation between Africa and South America is likely to be reflected in the divergence time hypotheses.
Moreover, we show that there is no subexponential-time algorithm for several related problems unless the Exponential-Time Hypothesis fails.
Further, it cannot be solved in 2 o (k )· n O (1) or 2 o (n )· n O (1) time if the exponential-time hypothesis (ETH) is true.
The exponential-time hypothesis (ETH) states that there is a constant c>1 such that 3-SAT cannot be solved in (c− ε) n time for any ε>0 [ 20].
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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