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Thus the problem of determining a metabolic pathway yielding maximum rate of production of a metabolite B starting from a substrate A, boils down to a maximization problem, where z is maximized with respect to c, subject to satisfying the constraint given in Eq. (6).
The AI test uses a likelihood ratio test to compare models 1 and 3, giving a χ test statistic on one degree of freedom: 4where and are the log-likelihoods from alternative and null models 1 and 2, maximized with respect to their regression coefficients, respectively.
According to the alternating maximization, a function can be cyclically maximized with respect to one (or a block of) variable, while keeping the other variables fixed.
In the th iteration of the EM algorithm, the expectation is maximized with respect to, and is updated with the maximizer as (11).
This function has to be maximized with respect to the set of non-negative λ i 's.
The specific power output is maximized with respect to the cycle temperatures along with the isobaric temperature ratio.
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Next, we maximize with respect to η n (k).
by which, maximizing with respect to, we obtain (28).
I maximize with respect to asset weights to obtain the first-order conditions.
Next, substituting (15) into (14) and maximizing with respect to produce (16).
The frequency-offset estimation is performed by maximizing, with respect to the conjugate cycle frequency, the projection of the measured conjugate-cyclic-autocorrelation function of the received signal over the true conjugate second-order cyclic autocorrelation.
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