Dirichlet


Also found in: Wikipedia.

Dirichlet

(German diriˈkleː)
n
(Biography) Peter Gustav Lejeune (ˈpeːtər ˈɡʊstaf ləˈʒœn). 1805–59, German mathematician, noted for his work on number theory and calculus
Collins English Dictionary – Complete and Unabridged, 12th Edition 2014 © HarperCollins Publishers 1991, 1994, 1998, 2000, 2003, 2006, 2007, 2009, 2011, 2014
Mentioned in ?
References in periodicals archive ?
Moreover, DAC_mmst model provides the more flexible method to select the number of visual-topics by introducing Hierarchical Dirichlet Process (HDP) [28] to model each image as a Dirichlet process for topics discovery.
It is defined as the Dirichlet energy or [H.sup.1]-seminorm of the Laplacian under certain boundary conditions and thus closely related to certain physical quantities which also occur in engineering applications such as resistance values of integrated circuit networks; see, e.g., [22, 24].
And the relevant development is based on the mathematical calibration of various forms of partial differential equation with the first boundary condition called the Dirichlet condition.
The Dirichlet problem for polyharmonic equations in bounded domains of [R.sup.n] has been studied, among the first, by Sobolev in [1].
Here we introduce the Cauchy integral method for the solution of the Dirichlet problem in doubly connected domains.
where [B.sub.0](x) is given and [a.sub.0] = [[integral].sup.1.sub.0] [B.sub.0](x)dx; they used these generalized Bernoulli polynomials to derive formulas of certain Dirichlet series.
Considering the limitations of the vector space model and the high dimensional unstructured nature of biomedical text documents, there are a number of representation schemes (such as the latent semantic analysis, the probabilistic latent semantic analysis, and the latent Dirichlet allocation) employed to process biomedical text documents [7].
This model is explored subject to both Dirichlet and Neumann boundary conditions on the bounded domain [OMEGA] = [-1, 1] x [-1, 1] to satisfy the domain required by the Chebyshev polynomials with initial condition w(x, y, 0) = f(x, y).
Let s = [sigma] + it be a complex variable, [chi] be a Dirichlet character and [alpha], 0 < [alpha] [less than or equal to] 1, be a fixed parameter.
We propose to forecast football games outcomes using a simple predictive elicitation approach (Garthwaite, Kadane, & O'Hagan, 2005; Kadane, 1980), where the hyperparameters of a Categorical Dirichlet model are elicited using betting odds from different bookmakers.
Let [[gamma].sub.n]([chi]) denote the n-th Laurent-Stieltjes coefficients around s = 1 of the associated Dirichlet L-series for a given primitive Dirichlet character [chi] modulo q.