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As in display technologies high diffraction efficiencies are favourable, simulations based on the Born approximation lead to inaccurate results.
Stochastic methods in correlation approximation lead to good results for a small difference in the elastic modulus of the composite or weak anisotropy.
The chosen model of a QMM (a series of RF SQUIDS coupled to the transmission line and considered in two-level approximation) lead to a generic Hamiltonian (1), with only parameters being model dependent.
In summary, more heterogeneity in a regulator (like DNA copy number) may, if Model (3) is a reasonable approximation, lead to more heterogeneity downstream in the transcriptome.
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For our systems, this approximation leads to errors of ~4.5 degrees.
The resulting SBP SAT approximation leads to fully explicit time integration.
As a cautionary example the assumed modes approximation leads to false conclusions about stability.
The one-term approximation leads to a Mathieu equation, the solution of which is well known.
The chapter shows that the warped multiresolution approximation leads to orthogonal and complete frequency warped dyadic wavelets.
It is shown that this approximation leads to a known approach that uses the Bayesian risk as design criterion.
The latter approximation leads to a generalization of the well-known convolution theorem used in finite difference methods.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com