This article discusses the optimization of the target motion sampling (TMS) temperature treatment method, previously implemented in the Monte Carlo reactor physics code Serpent 2. The TMS method was introduced in [1] and first practical results were presented at the PHYSOR 2012 conference [2]. The method is a stochastic method for taking the effect of thermal motion into account on-the-fly in a...

We determine extremal entire functions for the problem of majorizing, minorizing, and approximating the Gaussian function e−πλx 2 by entire functions of exponential type. The combination of the Gaussian and a general distribution approach provides the solution of the extremal problem for a wide class of even functions that includes most of the previously known examples (for instance [3], [4], [...

In recent years many deterministic parabolic equations have been shown to possess global attractors which, despite being subsets of an infinite-dimensional phase space, are finite-dimensional objects. Debussche showed how to generalize the deterministic theory to show that the random attractors of the corresponding stochastic equations have finite Hausdorff dimension. However, to deduce a param...

Currently, the majority of the text-to-speech synthesis systems that provide the most natural output are based on the selection and concatenation of variable size speech units chosen from an inventory of recordings. There are many different approaches to perform automatic speech segmentation. The most used are based on (Hidden Markov Models) HMM [1,2,3] or Artificial Neural Networks (ANN) [4], ...

Let G be a connected, real, semisimple Lie group contained in its complexification GC, and let K be a maximal compact subgroup of G. We construct a KC-G double coset domain in GC, and we show that the action of G on the K-finite vectors of any irreducible unitary representation of G has a holomorphic extension to this domain. For the resultant holomorphic extension of K-finite matrix coefficien...

The MathOptimizer Professional software package combines Mathematica’s modeling capabilities with an external solver suite for general nonlinear – global and local – optimization. Optimization models formulated in Mathematica are directly transferred along to the solver engine; the results are seamlessly returned to the calling Mathematica document. This approach combines the advantages of a hi...

A characteristic function T(D, w, f) of Shimizu and Ahlfors type for a function / meromorphic in a Riemann surface R is defined, where D is a regular subdomain of R containing a reference point w G R. Next we suppose that R has the Green functions. Letting T(w,f) = Mthdir T{D,w,f), we define / to be of uniformly bounded characteristic in R, f G UBC(i?) in notation, if sup^g/j T(w, f) < oo. We s...