Sentence examples for norm of data from inspiring English sources

One way to objectively choose (alpha ^2) is by plotting the norm of the model vector, (||{varvec{m}}||/{text {max}}(||{varvec{m}}||)) (individually normalized to the range between 0 and 1 for better comparison between different orbits) versus the norm of data misfit, (||{varvec{Gm}}-{varvec{d^{{mathrm{obs}}}}}||) for various values of the regularization parameter (alpha ^2).

The electronic database applications have been designed in accordance with the norms of data protection in force and guarantee the security access pursuant to Ley Orgánica 15/1999, de 13 of December [ 15].

The fit of the model to the data was measured by the RMS error of the model with respect to the data normalized with respect to the norm of the data itself.

In fact, a few companies are challenging the norm of corporate data hoarding by actually sharing some information with the customers who generate it — and offering tools to put it to use.

The proof of the first estimate follows from the asymptotic behavior of H i together with the assumption on the norm of boundary data φ given by (30).

The inverse solution simultaneously minimizes the L-2 norm of the data misfit and the model roughness: (1 where the first term ǁGm − dǁ2 is the L-2 norm of the data misfit and the second term ε−2ǁLmǁ2 is a measure of the model roughness.

Our choice of covariance matrix for Θ is defined to be a rescaling of a squared norm of the data: (6) where X POS is the matrix containing the protein protein features only of the linked pairs used in the MLE computation.

In the first step, we determine numerically what frequency response characteristics are desirable for the discretized controller to assume, based on the frequency response gain or H∞ norm of sampled-data systems.

where depends on the norms of initial data given in Theorem 1.1, but not on.

This is due to the fact that the DCT matrix is unitary and preservesℓ2-norm of the data.

One of the most intriguing questions regarding the L p -normed fitting is how can we determine the characteristic p-norm of the data.