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Now, the objective of the optimization problem in (12) becomes a concave function.
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For the joint sum-power constraint at both the source and the relay, [16] resorts to a high signal-to-noise ratio (SNR) approximation for the throughput to become a jointly concave function in the source and relay power variables ([17], Prop. 1 and Appendix B).
It's a concave function.
The relationship between CO2 emissions and vehicle weight is modeled using a concave function leading to a concave minimization problem.
In the first stage, the objective function is successively approximated by a concave function.
More specifically, we want to learn a concave function by using 'bump-like' neurons and fitting the centers of the bumps.
Therefore is not a concave function w.r.t.
ETP is a concave function (proof in "Appendix A").
So, (F r)) is a concave function for (rgeq0).
gets particularly accurate when ' g' is a concave function [22].
So φ is a concave function over C.
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