The phrase "and using the norm" is correct and usable in written English.
It can be used in contexts where you are discussing adherence to a standard or guideline.
Example: "The team improved their performance by following the established procedures and using the norm for quality control."
Alternatives: "and adhering to the standard" or "and following the guideline".
By substituting Equation (4) into (8) and using the RQE norm, the new optimized function f is f ( A k, S k ) = RQE ( A k, S k ) + ∑ i α i D i ( S k ) + ∑ j β j D j ( A k ) (9).
Using the norm as comparative level is useful and easy.
Using the Norm method and Taylor expansion method, this paper gains an accurate slant range model, which can resolve the big error of the linear trajectory at perigee and collapse of the linear trajectory at apogee.
In recent years, significant advances have been made in the development of fixed point theory in Banach algebras using the norm topology and applications to quadratic integral equations.
To further examine the relationship of increasing word frequency with increasing semantic content, we examined the relationship between frequency and familiarity using the norms available for our stimuli in the MRC psycholinguistic database and between frequency, familiarity, and number of semantic features for a separate set of words (McRae et al. 2005).
After substituting the expression for predicted state from Equation 6 in the above equation and using the definition of vector norm, we can rewrite Equation 16 as: begin{array}{*{20}l} boldsymbol{hat{x}}[k]!
Our approach, coined fr-MKLR, generalizes MKLR by introducing a feature weighting scheme in the Gaussian kernel and using the so-called ℓ0- norm" as sparsity-promoting regularization.
By introducing the Lebesgue-p norm and using the method of fractional integration by parts and the generalized Young inequality of convolution integral, the tracking performances with respect to the initial state shift under the proposed algorithms are analyzed.
We investigate norms of corruption using the norm-elicitation procedure introduced by Krupka and Weber (2013).
The simplest is the minimum model stabilizing functional (MM), which is based on the least-squares criterion and uses the minimum norm of the difference from the a priori model m apr.
