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The minimization provides an upper bound to the L∞ induced gain (ℓ∞ for discrete-time systems) of the filtering error system.
Once an adversary creates an intermediate vector (hat {mathbf {z}}), the following L 2 norm minimization provides an estimate feature vector (hat {mathbf {x}}) that is consistent with the observation (mathbf {b}=text {sign}(mathbf {R}hat {mathbf {x}})).
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Second, we derive an auxiliary convex and differentiable minimization problem whose minimizer provides a solution to the original problem.
The results of the minimizations provide a significant complement to experimental efforts and aid in the understanding of the enzymatic profile of cytidine deaminase.
The second proposed algorithm, that is variation minimization (VM), provides a SINR with low variance.
Although the number of unknowns were relatively higher than the previous examples and the cost function is clearly not as well behaved as before, using DE as the initial minimization scheme provides a suitable starting state for the LMA, and this sequential technique helps the algorithm make a rather accurate localization in a noisy and reverberated environment.
The method developed in this article models the localization problem as a minimization problem and provides an additional flexibility of not being exactly aware of the signal attenuation model.
On the other hand, it is shown that other approaches based on the "constitutive equation gap" minimization or the "equilibrium gap" minimization provide biased solutions.
The results of the SIEM algorithms and the baselines are compared in Figure 2. Binary masking and ℓ 0 -norm minimization provide lower SDR than all other algorithms for all reverberation conditions.
A regret function is defined, and minimization of the maximum regret provides an objective function based on random future usage stresses.
We propose a criterion for optimal experiment design which provides a minimization of parameter uncertainty in the direction of improved performance of the process under robust economic NMPC.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com