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The multi-stiffness topology optimization is performed using a norm method with weighting coefficients.
All the input and output parameters are normalized using norm method.
The data derived from the laboratory testing are first normalized by norm method and given as the input.
We will discuss the local well-posedness for the fourth-order Schrödinger equation by the Fourier restriction norm method.
We will refer to the RSSI-based method [8] and the CSI-based method [9] as the RSSI method and the CSI norm method, respectively.
Bourgain obtained the well-posedness for the nonlinear Schrödinger equation ( | u | p u ) by the Fourier restriction norm method (see [4]).
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We compare Algorithm 1 with smoothing gradient method, GPSR method, debiased and minimum norm methods proposed in [2, 9, 10, 14] respectively.
In this paper we provide an innovative and general lower bound technique relying on the novel notion of delay digraph of a gossiping protocol and on the use of matrix norm methods.
We then subtracted the two matrices and computed the Frobenius norm (Methods) to quantify the distance between the two data sets.
This study highlighted the possible variability of the results in different laboratories suggesting that the norm methods must be improved for a better standardization (EN 1500 and PrEN 1500).
To come back to scientific purpose, this study suggests that the norm methods to test ABHR efficacy must be improved for better standardization, but we don't agree with all priorities proposed by Kampf et al. to improve the validity of products and efficacy claims.
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