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By optimal, we mean that the value of the operating points are optimized in such a way that the LPV model obtained after interpolation has a maximum accuracy.
In this regard, our current parameter set is a "working set" but by no means optimal, we supply the model code for people who are interested in further optimizing the parameters.
Relying on the identifying assumption that contracts are optimal, we obtain the estimates of a lower and an upper bound of agents' reservation utilities.
However, even if we accept that having a singular objective is optimal, we're still left facing a really important question: why does that objective have to be shareholder value maximization?
So when p ∗ is optimal, we can attain the dual optimum as well as λ ∗,ν ∗.
Now to prove that (rho_{H(E)}) is optimal, we take any admissible couple (rho_{E}, rho_{H_{1}}in N_{t}).
Similar(12)
Indeed, by HLA-restricted minimal optimals, we have discovered broad Vif and Nef-specific T cell responses in our patients.
Although the reverse mutant is sub-optimal, we have combined two configurations of the switch to generate tight control of gene expression.
When we say that a solution is near-optimal, we mean that it is optimal or it has a cost close to that of an optimal solution; it need not be temporally consistent.
While the post-intervention hand hygiene adherence rate remains sub-optimal, we believe that the significant increase in HCW hand hygiene adherence represents a substantial improvement that will serve as the basis for ongoing and future efforts at improving hand hygiene.
While this is clearly non-optimal, we found it sufficient for our SCILHS work because only 8%% of the changes were due to errors, and the other 92 % would not generally impact the use-case of finding deprecated codes' current siblings.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com