Your English writing platform
Discover LudwigExact(1)
The combination of low pressure drop (permitting use of a low-power sampling pump), low hygroscopicity (minimizing bound water interference in mass measurements), and low trace element background (improving analytical sensitivity) of these filters makes them highly appropriate for personal particle sampling.
Similar(58)
Furthermore, an optimal H2 GC fuzzy controller in the sense of minimizing a bound on the guaranteed cost is provided by means of an LMI optimization procedure.
The parameter γ for the radial basis function (RBF) kernel, together with the regularization parameter C, and the loss function parameter ε were automatically chosen during SVR function estimation by minimizing a bound on the leave-one-out error.
The proposed scheduler utilizes QoE-aware priority marking, where video layers are mapped to priority classes and targets at minimizing delay bound violations for the most important priority classes under congestion.
The problem of minimizing the bound on the variance of the steady response of uncertain PWA systems, by means of a hybrid observer controller, is formulated as an optimization problem subject to a number of constraints in the form of matrix inequalities.
As μ is a constant value only depending on f(x), the rearrangement that minimizes the bound in Eq. 53 is the one that minimizes (sum _{k=1}^{n} alpha _{k} m_{k}^{2}), and by virtue of the rearrangement inequality [25, page 261][26], it happens when the {α i } are ordered inversely to (left {m_{i}^{2}right }).
Differently from other approaches that minimize the Euclidean norm and can only handle precisely known systems, the proposed method minimizes a bound to the H2 or H∞ norm of a system that represents the dynamics of the error between the polytopic continuous-time plant and the discrete-time representation.
Controls which minimize the distance function, as in the first order reliability method (FORM), are shown to minimize a bound on the sampling variance of the estimator for the probability of failure.
To avoid this, we minimized a bound on the leave-one-out error with a Quasi-Newton algorithm [45, 46].
It is shown that in order to minimize a bound on the average probability of a symbol vector error, the minimum substream SNR S N R min must be maximized.
As shown above, in order to minimize a bound on the average probability of a symbol vector error, (overline {SNR}^{{text {eff}}}) must be maximized.
Write better and faster with AI suggestions while staying true to your unique style.
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