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In this article a new and much simpler computation method is introduced making the determination of the individual fluid flows and the estimation of the effects of constructive changes possible.
The idea underlying existing algorithms for motif discovery, which implement stochastic variants of EM (Bi, 2007, 2009), is to replace the computation and maximization of Q (θ, θ (t ) ) by the much simpler computation of p (Z i, j = 1 | X i, θ (t ) ), drawing a number of samples Z t) (S-step), followed by an update to θ based on the pseudo-complete samples (X, Z(t)) (U-step).
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Here are some ways to celebrate it and win a prize from the Lab: 2) Calculate the value of pi by tossing needles on a sheet of lined paper — or, much simpler and quicker, watching your computer toss the needles and do the computation for you.
This modification leads to a much simpler convex problem, but it involves expensive computations when applied to large-scale signals.
The computation results show that the GA approach is efficient and much simpler than previous heuristic algorithm.
The lower bound presented in (24) is much simpler than the one presented in (22), since it does not require the computation of the Appell hypergeometric function.
In comparison, the direct computation of (y) = m d (P + y Q) 1T by binary decomposition (Algorithm 2) is much simpler to implement (relying only on floating point arithmetics) and is likely to be much more effective in practice.
It was much simpler.
Something much simpler is.
Much simpler.
Revivalism would be much simpler.
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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