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In this paper, a new methodology for LNG liquefaction synthesis targeting energy consumption minimization is presented.
A detailed discussion of signal recovery using ℓ1-norm minimization is presented by Takigawa et al. [183] and described below.
In this way, a procedure for the optimization of a given configuration involving the total annual cost (TAC) minimization is presented.
The objective function before and after minimization is presented in Figs. 3 and 4, respectively, which shows that the condition of maxima and minima load is achieved for WIS.
Authors' response: A list of all lysine-involving salt bridges for each model, calculated before and after energy minimization, is presented in Table 1.
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Nineteen potential factors which can influence effective waste minimization are presented based on related official guidelines, reports and literature.
In Figure 6, the results for optimal power allocation per user (i.e., power minimization) are presented to meet the network performance constraint on the average outage probability per user of 0.1 and 0.2, with the latter requiring lower power owing to the inverse relationship of transmit power and outage probability.
An algorithm based on dynamic programming to solve this minimization problem is presented.
A proposed model based loss minimization strategy is presented for efficiency optimization.
A general variance minimization method is presented to avoid the need for determination of various coefficients and exponents used in regression process.
An EWMA cost minimization model is presented to design the joint control scheme based on pure economic or both economic and statistical performance criteria.
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