In mathematics, Gaussian brackets are a special notation invented by Carl Friedrich Gauss to represent the convergents of a simple continued fraction...
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In numerical analysis, an n-point Gaussian quadrature rule, named after Carl Friedrich Gauss, is a quadrature rule constructed to yield an exact result...
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List of things named after Carl Friedrich Gauss (redirect from Gaussian)
algorithm Gaussian brackets – described on WolframMathWorld Gaussian's modular arithmetic Gaussian integer, usually written as Z[i] Gaussian prime Gaussian logarithms...
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Random matrix (redirect from Gaussian matrix ensemble)
components per matrix element. The Gaussian unitary ensemble GUE ( n ) {\displaystyle {\text{GUE}}(n)} is described by the Gaussian measure with density 1 Z GUE...
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In mathematics, the Gaussian binomial coefficients (also called Gaussian coefficients, Gaussian polynomials, or q-binomial coefficients) are q-analogs...
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denominators k1, k2, ... then the relevant recursive relation is that of Gaussian brackets: h n = a n h n − 1 + h n − 2 , k n = a n k n − 1 + k n − 2 . {\displaystyle...
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denominators k1, k2, ... then the relevant recursive relation is that of Gaussian brackets: hn = anhn − 1 + hn − 2, kn = ankn − 1 + kn − 2. The successive convergents...
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generalizations of Gaussian integrals to the complex plane and to multiple dimensions.: 13–15 Other integrals can be approximated by versions of the Gaussian integral...
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indices for more details on notation. Formulae are given in SI units and Gaussian-cgs units. The contravariant electromagnetic four-potential can be defined...
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{\displaystyle p_{1}(\Delta x)} s, etc. As the convolution of two Gaussians is just another Gaussian, we have that p m ( Δ x ) = 1 ( 2 π m σ 2 2 ) 1 / 2 exp ...
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First-class constraint (section Poisson brackets)
this system, then one need promote the canonical Dirac brackets, not the canonical Poisson brackets to commutation relations. Examination of the above Hamiltonian...
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curves on the surface. One of the fundamental concepts investigated is the Gaussian curvature, first studied in depth by Carl Friedrich Gauss, who showed that...
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utilized. If the imaging beam has Gaussian distribution, when the truncation ratio (the ratio of the diameter of the Gaussian beam to the diameter of the truncating...
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opposite "magnetic charges". Precisely, the total magnetic flux through a Gaussian surface is zero, and the magnetic field is a solenoidal vector field. The...
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define the q-binomial coefficients, also known as Gaussian coefficients, Gaussian polynomials, or Gaussian binomial coefficients: ( n k ) q = [ n ] q ! [...
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models gives rise to Gaussian statistics. The cold spot may also, as suggested in the references above, be a signal of non-Gaussian primordial fluctuations...
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Q-Pochhammer symbol (redirect from Q-bracket)
one can move on to define the q-binomial coefficients, also known as the Gaussian binomial coefficients, as [ n k ] q = [ n ] ! q [ n − k ] ! q [ k ] ! q...
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the bracket ⟨ , ⟩ {\displaystyle \langle ,\rangle } refers to the inner product on the tangent space induced by the metric tensor and the brackets and...
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Minolta STF 135mm f/2.8 T4.5 (category Restricted titles (brackets))
profiles of the circles of confusion in such a way as to become truly Gaussian. Thereby, it is also deemed to improve the "bokeh" of the lens, that is...
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Corner detection (section Laplacian of Gaussian, differences of Gaussians and determinant of the Hessian scale-space interest points)
in blob detection. The scale-normalized Laplacian of the Gaussian and difference-of-Gaussian features (Lindeberg 1994, 1998; Lowe 2004) ∇ n o r m 2 L...
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Determinant (section Gaussian elimination)
determinant as a linear combination of determinants of submatrices, or with Gaussian elimination, which allows computing a row echelon form with the same determinant...
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extrapolate to T(0). Gaussian quadrature evaluates the function at the roots of a set of orthogonal polynomials. An n-point Gaussian method is exact for...
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their correlation functions; the most notable example is the class of Gaussian processes. Probability distributions defined on a finite number of points...
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force η ( t ) {\displaystyle {\boldsymbol {\eta }}\left(t\right)} has a Gaussian probability distribution with correlation function ⟨ η i ( t ) η j ( t...
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interpreted as a maximum likelihood method in the context of a (coloured) Gaussian noise model and the associated Whittle likelihood. If the transmitted signal...
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through a filter of size larger than ħ (e.g., convolving with a phase-space Gaussian, a Weierstrass transform, to yield the Husimi representation, below), results...
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independent identically distributed Gaussian noise, then the columns of T will also contain similarly identically distributed Gaussian noise (such a distribution...
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{\displaystyle {n \choose k}} is the binomial coefficient. Thus, e.g., Gaussians compose hyperbolically, exp ( − a ( q 2 + p 2 ) ) ⋆ exp ( − b...
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under constraints of mean and variance is the Gaussian.: 255 Let g ( x ) {\displaystyle g(x)} be a Gaussian PDF with mean μ and variance σ 2 {\displaystyle...
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connection (or covariant differentiation) ∇ {\displaystyle \nabla } and Lie bracket [ ⋅ , ⋅ ] {\displaystyle [\cdot ,\cdot ]} by the following formula: R (...
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