「gaussian」の共起表現(1語右で並び替え)

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n general, but if probability distribution is	Gaussian a third-order approximation is possible).
e AMPAC, GAMESS (US), PC GAMESS, GAMESS (UK),	GAUSSIAN and CP2K programs.
M² is a better guide to beam quality than	Gaussian appearance, however, since there are many cas
Related filters attempting to relax the	Gaussian assumption in EnKF while preserving its advan
EnKFs rely on the	Gaussian assumption, though they are of course used in
It can be used to turn a	Gaussian beam into an approximation to a Bessel beam,
A	Gaussian beam has the lowest possible BPP, λ / π, wher
the BPP of an actual beam to that of an ideal	Gaussian beam at the same wavelength is denoted M² ("M
t (BPP) of an actual beam to that of an ideal	Gaussian beam at the same wavelength.
formed by diffractive optical elements from a	Gaussian beam.
beam propagation, particularly the physics of	Gaussian beams, with laser applications, and with asso
This effect is similar to	Gaussian blur effect in image processing produced by c
	Gaussian broadening refers to broadening effects in sp
and in	Gaussian CGS units by
	Gaussian charts are often less convenient than Schwarz
ther systematized by the use of David X. Li's	Gaussian copula model function to rapidly price Collat
global banking system in serious peril...Li's	Gaussian copula formula will go down in history as ins
disk Derivation, source code for product-type	Gaussian cubature with high precision coefficients and
gyroid minimal surface, coloured to show the	Gaussian curvature at each point
terpretation in terms of the surface area and	Gaussian curvature of each sphere.
oefficient on X3 is zero; they also have zero	Gaussian curvature.
a minimal surface) and the product gives the	Gaussian curvature.
hat a narrow spectral line is a Lorentzian or	Gaussian, depending respectively on the decay mechanis
In computer vision and image processing,	Gaussian derivative operators of different orders are
Multivariate	Gaussian distribution is one of the most convenient di
For example, the parents of a	Gaussian distribution must be a Gaussian distribution
A beam with a	Gaussian distribution was modulated by a spatial light
hull of a set of random points, drawn from a	Gaussian distribution with the number of points propor
ally produce a "normal distribution curve" (a	Gaussian distribution, also commonly referred to as a
where α is the semiangle describing the	Gaussian distribution.
The peak shape is usually a	Gaussian distribution.
to investigate whether the residuals follow a	Gaussian distribution.
axis, and σ is the standard deviation of the	Gaussian distribution.
It is common to work with discrete or	Gaussian distributions since that simplifies calculati
The equality holds in the case of	Gaussian distributions,
els include the log-normal, gamma and inverse	Gaussian distributions, although they are less popular
	Gaussian elimination places zeros below each pivot in
he multifrontal method, which is a version of	Gaussian elimination for large sparse systems of equat
It is a variation of	Gaussian elimination.
discussed in the articles on determinants and	Gaussian elimination.
can be solved using numerous methods such as	Gaussian elimination; in practice advanced methods lik
Web forms to evaluate bounds for the	Gaussian ensemble are available at the Edinburgh Compr
sing an alpha beta filter, that assumed fixed	Gaussian errors and a constant-speed, non-maneuvering
one kind of smoothing technique, as is linear	Gaussian filtering.
	Gaussian fitting: A 2-dimensional Gaussian function is
Siegman showed that all beam profiles -	Gaussian, flat top, TEMXY, or any shape - must follow
In this regime, the density contrast field is	Gaussian, Fourier modes evolve independently, and the
Since the Fourier transform of the	Gaussian function yields a Gaussian function, the sign
As an example, the	Gaussian function is integrated from 0 to 1, i.e. the
mputed from a minimal basis set of contracted	Gaussian functions, as opposed to the previously used
In contrast, ab initio packages, such as	GAUSSIAN, gained popularity because they would always
e calculated using quantum-chemical software (	GAUSSIAN, GAMESS, JAGUAR, ADF) and directly imported i
s solem ambientum in Hamburg, introducing the	Gaussian gravitational constant and containing an infl
zero-mean,	Gaussian input.
A Useful Theorem for nonlinear devices having	Gaussian inputs" (1988)
Thus these primes (and 2) occur as norms of	Gaussian integers, while other primes do not.
The Laplacian of	Gaussian is useful for detecting edges that appear at
The	Gaussian isoperimetric inequality also follows from Eh
The	Gaussian isoperimetric inequality, proved by Boris Tsi
uced a functional inequality generalizing the	Gaussian isoperimetric inequality and derived it from
The	Gaussian kernel is continuous.
An alternate method is to use the discrete	Gaussian kernel which has superior characteristics for
In the spatial domain, a 2D Gabor filter is a	Gaussian kernel function modulated by a sinusoidal pla
For a single mode TEM00	Gaussian Laser beam, M² is exactly one.
uniformly distributed data and convert it to	Gaussian like distribution before presenting to the mo
y large rectangular matrices are for those of	Gaussian matrices.
ormal variables and hence the same method for	Gaussian noise applies in the classification problem.
For small to moderate levels of (	Gaussian) noise, the median filter is demonstrably bet
t can be spanned by an over-complete basis of	gaussian operators using only positive coefficients.
basis sets of either Slater type orbitals or	Gaussian orbitals to model the wave function.
e origin has a MSD that scales like, , with a	Gaussian PDF .
A third choice is the	Gaussian polar chart, which correctly represents radia
"Systematic sequences of even tempered	Gaussian primitives for molecules in solution."
In general, a	Gaussian process is time-reversible.
Let (Xt)t∈T be a	Gaussian process and let dX be the pseudometric on T d
ed upper bound and regularity properties of a	Gaussian process to its entropy and covariance structu
al distribution (in which case the model is a	Gaussian process).
broader linewidth than the natural, and has a	gaussian profile.
nhomogeneously broadened emission will have a	gaussian profile.
	Gaussian Quantum Monte Carlo is a quantum Monte Carlo
"Large deviations for	Gaussian queues" (2007)
e is author of the book "Large deviations for	Gaussian queues", and is associate editor of the journ
In particular, they obtained a nice	Gaussian shaped representative of the Thom class in co
The image above show synthetic	gaussian spectra.
(corresponding to 3.2 standard deviations in	gaussian statistics).
The	gaussian surface S (green)
The equation for the divergence, of a pure	Gaussian TEM00 unfocused beam propagating through spac
Here, identical	Gaussian temporal profiles have been used, resulting i
ese are also distributed in a two-dimensional	Gaussian uv-distribution with a dispersion of 2 500 m
stributed in a two-dimensional fashion with a	Gaussian uv-distribution with a dispersion of 300 m, a
o obtain an approximation of the Laplacian of	Gaussian when the ratio of size 2 to size 1 is roughly
that are used to approximate the Laplacian of	Gaussian will determine the scale of the difference im
A	Gaussian window is one possible choice, leading to a f

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「gaussian」の共起表現一覧(1語右で並び替え)