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A guiding principle is that asymptotically for large systems, in analogy to classical large sample size, complicated statistical models should be approximated by simple ones.
The shape of measured or design life distributions of systems can vary considerably, and therefore frequently cannot be approximated by simple distribution functions.
The shape of measured or design load spectra can vary considerably and therefore frequently cannot be approximated by simple distribution functions.
We also address the problem of the physical realization of Fülöp Tsutsui couplings and demonstrate that the couplings needed for the construction of the proposed quantum devices can be approximated by simple graphs carrying only δ potentials.
Since the boundary-layer equations have been formulated as a first-order system, all derivatives can be approximated by simple centered differences and two-point averages, using only values at the corners of the box.
But maybe most importantly, we found that the semantic similarity between population responses could not be approximated by simple linear or bilinear functions of the patterns.
Similar(50)
Fundamental frequency coefficients are determined by means of the Rayleigh minimization procedure; the modal shapes been approximated by simple polynomial co-ordinate functions.
Absorption and scattering spectral efficiency factors for spherical semi-transparent fuel droplets are approximated by simple analytical expressions as functions of imaginary and real parts of the complex index of refraction and the diffraction parameters of droplets.
For this model, North South and East West gradients (as well as their associated kernel matrices) are approximated by simple first differences (no division with the spherical distance), in a similar fashion to how the gradients are commonly treated for modeling, see, for example, Finlay et al.
({mathrm {SM}}_{{Gamma ^{(1)}}delta }) this model is equivalent to ({mathrm {SM}}_{{Gamma ^{(1)}}}) except that the gradients involved in (varvec{Gamma }^{(1)}) (and the associated gradient kernel matrices) are approximated by simple data differences (no division with the spherical distance).
The basic idea is that the informative parts of the complex metabolomics data are approximated by simple components with a biological meaning, e.g. in terms of metabolic pathways or their regulation.
More suggestions(15)
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be approximated by discrete
be approximated by radial
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be defined by simple
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