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We first consider a simpler instance of this problem where there is only one machine.
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Given the computational complexity of SAT, it is therefore important to develop algorithms that either require the smallest possible number of calls to the SAT solver, or that involve simpler instances.
One of the simplest instance of relational (or context) effects in perception is that of brightness contrast.
In the human situation, learning to recognize the name of an object or a foreign word constitutes a simple instance of stimulus learning.
A simple instance of this sort proves little or nothing, but it may suggest what is needed namely, that Lucy should understand that changing the order of a set of signs alters their meaning in certain predictable ways.
A simple instance of the Classifier has been also developed.
First, PicHunter represents a simple instance of a general Bayesian framework we describe for using relevance feedback to direct a search.
We first show how a well-known efficient algorithm for computing stuttering equivalence can be viewed as a simple instance of GPT.
Garey and Johnson [11, 12] show that the simplest instance of the decision problem corresponding to this problem is NP-complete.
Finally, splay states are important in that they provide the simplest instance of asynchronous behaviour and can be thereby used as a testing ground for the stability of a more general class of dynamical regimes.
However, for this simple instance, the feasible domain can be readily determined and hence the considered optimization problem can be decomposed into three subproblems as begin{aligned}& left { textstylebegin{array}l@ min Z_{1}(mathbf{x}) = 0.08 - (0.3-x_{3})^{2} mbox{subject to:} quad x_{3}in[0, 0.8], end{array}displaystyle right.
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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