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Therefore, for the first R bits, the maximizing index of the despread data x m, p k ( i ) can be found by m ^ i k = arg max m { | Re [ x m, p k ( i ) ] | + | Im [ x m, p k ( i ) ] | }, 0 ≤ m ≤ N − 1. (18).
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We evaluated the accuracy and responsiveness of the existing Indices for use in depressional wetlands and refined reference definitions and recalibrated thresholds relative to stressor gradients to maximize index performance.
The main goal is to minimize the preventive maintenance costs while maximizing the index of reliability of the whole system.
They choose the number of contacts and/or the disease class with whom to make contact so as to maximize some index of wellbeing (utility), balancing the benefits of contact against the expected cost of disease and disease mitigation, conditional on the current states so that the choices change over time.
Studies using the Box Behnken central composite design (BBC) combined with response surface methodology (RS M were conducted for the purpose of maximizing community indexes of soil seed banks (SSBs).
The focus of the paper is on presenting the proposed maximal assortative matching algorithm for maximizing the assortativity index of the matching.
The proposed maximal assortative matching (MAM) algorithm for maximizing the assortativty index of the matching (to be as close to 1 as possible) proceeds in iterations.
To determine DMs' weights, a linear goal programming model is established by maximizing the consensus index of group of DMs.
This design aims at minimizing emissions and cost, expressed in the form of the Net Present Value NPVV) of the system, while simultaneously maximizing its Energy Index of Reliability (EIR).
The MAM algorithm has to be only slightly modified to determine an MDM: instead of preferring to include edges with a lower assortative weight (to maximize the assortative index of the maximal matching), we need to include the uncovered edge with the largest assortative weight (to minimize the assortative index of the maximal matching) in each iteration.
Our hypothesis is that by choosing such edges with smaller values for the assortativity weight, for graphs that are sufficiently dense, we can simultaneously maximize the assortativity index of the matching as well as maximize the number of edges chosen as part of the matching.
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