The demand for inputs and output produced, especially for households that produced their food at home, can be derived by maximizing the first-order condition of the LHS of Eq. 10 with respect to labour (L) and output produced (Q) as: {L}^={l}^left {P}_{hp}, w,{A}^0,{K}^0right) (11) {Q}^={Q}_{hp}^left {P}_{hp}, w,{A}^0,{A}^0right) (12).
Countries with limited resources may still want to use more potent and less toxic first-line cART regimens, as the long-term costs may be offset by maximizing the effects and sustainability of the first-line treatment, minimizing or delaying emergence of HIVDR, and easing the burden on intensive treatment monitoring.
The first one is by maximizing the mutual information between the random target impulse response and the reflected waveforms, and the second one is by minimizing the mean square error in estimating the target impulse response.
Based upon one of existing state-of-the-art evolutionary algorithms, called particle swarm optimization (PSO), the proposed model provides a solution (i.e., demixing matrix) by maximizing the determinant of the corresponding second-order moment (variance covariance) matrix of the reconstructed signals.
This means the first wasp needs to produce very few sons only enough to mate with all the females; the second generation reproductive success of the first wasp is maximized by maximizing the number of daughters.
The first design is obtained by maximizing the mutual information between the input and output signals at each hop while the second design is obtained by minimizing the MSE of the soft detection at each hop.
The SEC designed its whistleblower program to encourage employees to use internal compliance structures by maximizing the rewards for those who report internally first.
In the second step, τ ~ is estimated by maximizing the log-likelihood function ℒ in Eq. (6).
In the second step updates of the variance parameters are obtained by maximizing the approximate restricted log-likelihood.
