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The solution based on (v′z,n, v′z,d) that will be referred as coefficient constraint (CC).
In applications where the filter output power is to be limited, the gain coefficient constraint is replaced by an output power constraint.
This is the only place where geophysical information is utilized in our algorithm, which is in marked contrast to other approaches where model perturbations are made through the swapping of values in the simulation grid and agreement with soft data is enforced through a correlation coefficient constraint.
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As a possible countermeasure, an adaptive BM ABMM) with coefficient constraints was proposed in [23].
More precisely, given interval domains for the objective function coefficients and constraint coefficients of a linear program, we ask for which scenario a prescribed optimal value is attained.
Then, the considered problem in this paper is reduced to a multi-objective problem which is to be a non-convex optimization problem, where both the coefficient sensitivity constraint and the standard H∞ norm constraint are considered simultaneously.
In this paper, we propose a robust ℓ1-norm solution by introducing two sub-terms: LR coefficient sparsity constraint term and HR coefficient conversion term, which are able to prevent the noise transmission from noisy input to output.
Using a unity gain secondary path, a 3-dB coefficient gain constraint is imposed, and Figure 4 shows the plant frequency response and the response of the new CMD algorithm, illustrating the clipping effect of the algorithm.
We present a framework for solving multistage pure 0 1 programs for a widely used sequencing and scheduling problem with uncertainty in the objective function coefficients, the constraint matrix and the right-hand side.
These normalized mutual information metrics, measures between 0 and 1 of the fraction of uncertainty about the past conditions tested that is reduced by knowledge of future cellular response, have also been called the coefficients of constraint [54] (see Definition (5) in Appendix S1).
In Table 1 F, A, c, b and x are objective function target, coefficients of constraints, coefficients of the objectives, right hand side of constraints and decision variables, respectively.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com