Results 11 to 20 of about 145,045 (118)
How Wetting Properties Influence the Wear of Radial Lip Sealing Systems
Increased wear on radial lip seal systems is observed when sealing modern lubricants. This can impair the function of the sealing system and ultimately lead to leakage. This work shows methods to identify and predict excessive wear of radial lip sealing systems.
Philipp Fricker+2 more
wiley +1 more source
Reflections on Bayesian inference and Markov chain Monte Carlo
Abstract Bayesian inference and Markov chain Monte Carlo methods are vigorous areas of statistical research. Here we reflect on some recent developments and future directions in these fields. Résumé L'inférence bayésienne et les méthodes de Monte‐Carlo par chaîne de Markov sont des domaines dynamiques de la recherche statistique.
Radu V. Craiu+2 more
wiley +1 more source
Abstract Let be a domain, or more generally, a Lipschitz domain with small local Lipschitz constant. In this paper it is shown that if u is a function harmonic in and continuous in , which vanishes in a relatively open subset ; moreover, the normal derivative vanishes in a subset of with positive surface measure; then u is identically zero.
Xavier Tolsa
wiley +1 more source
Review of Inverse Laplace Transform Algorithms for Laplace-Space Numerical Approaches [PDF]
A boundary element method (BEM) simulation is used to compare the efficiency of numerical inverse Laplace transform strategies, considering general requirements of Laplace-space numerical approaches. The two-dimensional BEM solution is used to solve the Laplace-transformed diffusion equation, producing a time-domain solution after a numerical Laplace ...
arxiv +1 more source
On the dual representations of Laplace transforms of Markov processes [PDF]
We provide a general framework for dual representations of Laplace transforms of Markov processes. Such representations state that the Laplace transform of a finite-dimensional distribution of a Markov process can be expressed in terms of a Laplace transform involving another Markov process, but with coefficients in the Laplace transform and time ...
arxiv
We present a new strong‐form meshless solver combined with the boundary condition‐enforced immersed boundary method for the numerical solution of the nonstationary, incompressible, viscous Navier–Stokes equations in their stream function‐vorticity (in 2D) and vector potential‐vorticity (in 3D) formulation.
George C. Bourantas+6 more
wiley +1 more source
Factorization of Darboux-Laplace transformations for discrete hyperbolic operatros [PDF]
Elementary Darboux--Laplace transformations for semidiscrete and discrete second order hyperbolic operators are classified. It is proved that in the (semi)-discrete case there are two types of elementary Darboux--Laplace transformations as well: Darboux transformations that are defined by the choice of particular element in the kernel of the initial ...
arxiv +1 more source
An Identity for Two Integral Transforms Applied to the Uniqueness of a Distribution via its Laplace-Stieltjes Transform [PDF]
It is well known that the Laplace-Stieltjes transform of a nonnegative random variable (or random vector) uniquely determines its distribution function. We extend this uniqueness theorem by using the Muntz-Szasz Theorem and the identity for the Laplace-Stieltjes and Laplace-Carson transforms of a distribution function.
arxiv +1 more source
Dual representations of Laplace transforms of Brownian excursion and generalized meanders [PDF]
The Laplace transform of the $d$-dimensional distribution of Brownian excursion is expressed as the Laplace transform of the $(d+1)$-dimensional distribution of an auxiliary Markov process, started from a $\sigma$-finite measure and with the roles of arguments and times interchanged.
arxiv +1 more source
Inverse Laplace transform based on Widder's method for Tsallis exponential [PDF]
A generalization of the Laplace transform based on the generalized Tsallis $q$-exponential is given in the present work for a new type of kernel. We also define the inverse transform for this generalized transform based on the complex integration method.
arxiv