Results 111 to 120 of about 80,701 (242)

Exact solution to a class of problems for the Burgers’ equation on bounded intervals

Partial Differential Equations in Applied Mathematics
In this study, we consider Burgers’ equation with fixed Dirichlet boundary conditions on generic bounded intervals. By employing the Hopf–Cole transformation and a recently established exact operational solution for linear reaction–diffusion equations ...
Kwassi Anani, Mensah Folly-Gbetoula
doaj   +1 more source

Numerical inversion of Laplace transform

Electronics Letters, 1969
An explicit formula for the inversion of the Laplace transform is derived. The formula permits the inverse to be readily evaluated numerically.
openaire   +1 more source

Optimal Simple Ratings

The Journal of Industrial Economics, EarlyView.
ABSTRACT We study optimal simple rating systems that partition sellers into a finite number of tiers. We show that optimal ratings must be threshold partitions, and that for linear supply and Cournot competition with constant marginal cost, optimal thresholds solve a k‐means clustering problem requiring only the quality distribution.
Hugo Hopenhayn, Maryam Saeedi
wiley   +1 more source

LAPLACE TRANSFORMATION SOLUTION OF ELECTRO-MAGNETO-THERMOELASTIC LAMINATED ORTHOGONAL HYPERBOLIC SHELL WITH FOUR SIMPLY SUPPORTED

Jixie qiangdu, 2018
Based on Electromagnetic thermoelastic constitutive equations,its increased dimensions constitutive relationship on the basis of relevant literature was established,and the electromagnetic thermo-elastic material generic shell homogeneous state equations
LIU YanHong, YANG WeiXu
doaj  

A Closed-Form Inverse Laplace Transform of Shifted Quasi-Rational Spectral Functions via Generalized Hypergeometric and Kampé de Fériet Functions

Axioms
Closed-form analytic inverses allow explicit tracking of parameter effects, facilitate interpretation of experimental signals, and support solving inverse problems.
Slobodanka Galovic, Aleksa Djordjevic, Katarina Lj. Djordjevic   +2 more
doaj   +1 more source

Markov Determinantal Point Process for Dynamic Random Sets

Journal of Time Series Analysis, EarlyView.
ABSTRACT The Law of Determinantal Point Process (LDPP) is a flexible parametric family of distributions over random sets defined on a finite state space, or equivalently over multivariate binary variables. The aim of this paper is to introduce Markov processes of random sets within the LDPP framework. We show that, when the pairwise distribution of two
Christian Gouriéroux, Yang Lu
wiley   +1 more source

Vibration of gold nano beam in context of two-temperature generalized thermoelasticity subjected to laser pulse

Latin American Journal of Solids and Structures
In the present work, the model of vibration of gold nano- beam induced by laser pulse heating is developed in the context of two-temperature generalized thermoelasticity and non-Fourier heat conduction.
Hamdy M. Youssef, Alaa A. El-Bary, Khaled A. Elsibai   +2 more
doaj   +1 more source

Robust CDF‐Filtering of a Location Parameter

Journal of Time Series Analysis, EarlyView.
ABSTRACT This paper introduces a novel framework for designing robust filters associated with signal plus noise models having symmetric observation density. The filters are obtained by a recursion where the innovation term is a transform of the cumulative distribution function of the residuals.
Leopoldo Catania, Andrew C. Harvey, Alessandra Luati   +2 more
wiley   +1 more source

Pressure-Dependent Rate Constant Predictions Utilizing the Inverse Laplace Transform: A Victim of Deficient Input Data. [PDF]

ACS Omega, 2018
Firaha DS, Döntgen M, Berkels B, Leonhard K.   +3 more
europepmc   +1 more source

Empirical‐Process Limit Theory and Filter Approximation Bounds for Score‐Driven Time Series Models

Journal of Time Series Analysis, EarlyView.
ABSTRACT This article examines the filtering and approximation‐theoretic properties of score‐driven time series models. Under specific Lipschitz‐type and tail conditions, new results are derived, leading to maximal and deviation inequalities for the filtering approximation error using empirical process theory.
Enzo D'Innocenzo
wiley   +1 more source