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Hence no special treatment is needed for this constraint.
The justification for this constraint would be given as part of the discussion in this section.
First, redefine the constraint Rank(X)=1 as Tr(X)−λ max(X)≤0 and add the penalty for this constraint into the objective function.
The chapter also proposes a slight relaxation for this constraint with the Algorithm 2 that saves time without much penalty on the number of parareal iterates.
It should be noted that, for this constraint to be used, compared to the previous studies, the parameter that should additionally be given by a primary system is only the RDT TRDT.
The reasoning for this constraint is that CpGs beyond the outer edge of domains are not expected to be influenced by chromatin domains.
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(See, for example, Stanley 2000, 2002 for a defense of this constraint. Recanati 2002 and Carston 1998, 2002 offer very sensitive defenses of unarticulated constituents).
We discuss the implications of this constraint for skeletal muscle design, and then explore implications for physiological processes based on cyclical muscle contraction.
These studies revealed a conserved role for LIMK2 in constraining gastrointestinal stem cells in Drosophila and mice, such that relief of this constraint allowed for the expansion of stem cell numbers.
The fact that, although limited, the model has predictive capacity provides further validation for this constraint-based representation.
Although this may impose a constraint on the range of achievable sum rates by the primary network, we showed in Theorem 5 and Corollary 5 that there exists a condition for which this constraint only enhances the achievable rates for the secondary link without degrading the range of achievable rates by the primary network.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com