Radial basis functions: basics, advanced topics and meshfree methods for transport problems.
Raffinement de la borne spectrale d'un faisceau de matrices
Raman laser : mathematical and numerical analysis of a model
In this paper we study a discrete Raman laser amplification model given as a Lotka-Volterra system. We show that in an ideal situation, the equations can be written as a Poisson system with boundary conditions using a global change of coordinates. We address the questions of existence and uniqueness of a solution. We deduce numerical schemes for the approximation of the solution that have good stability.
Raman laser: mathematical and numerical analysis of a model
In this paper we study a discrete Raman laser amplification model given as a Lotka-Volterra system. We show that in an ideal situation, the equations can be written as a Poisson system with boundary conditions using a global change of coordinates. We address the questions of existence and uniqueness of a solution. We deduce numerical schemes for the approximation of the solution that have good stability.
Random coefficient differential models of growth of anaerobic photosynthetic bacteria.
Random mappings with a single absorbing center and combinatorics of discretizations of the logistic mapping.
Random perturbations of stochastic processes with unbounded variable length memory.
Random projection RBF nets for multidimensional density estimation
The dimensionality and the amount of data that need to be processed when intensive data streams are observed grow rapidly together with the development of sensors arrays, CCD and CMOS cameras and other devices. The aim of this paper is to propose an approach to dimensionality reduction as a first stage of training RBF nets. As a vehicle for presenting the ideas, the problem of estimating multivariate probability densities is chosen. The linear projection method is briefly surveyed. Using random...
Random sampling of labeled tournaments.
Random thresholds for linear model selection
A method is introduced to select the significant or non null mean terms among a collection of independent random variables. As an application we consider the problem of recovering the significant coefficients in non ordered model selection. The method is based on a convenient random centering of the partial sums of the ordered observations. Based on L-statistics methods we show consistency of the proposed estimator. An extension to unknown parametric distributions is considered. Simulated examples...
Random walks on groups and monoids with a Markovian harmonic measure.
Random walks on trees and matchings.
Random walks with -wise independent increments.
Rank-One Modification of the Symmetric Eigenproblem.
Rapid mixing of Swendsen-Wang dynamics in two dimensions [Book]
Rapidly Convergent Recursive Solution of Quadratic Operator Equations.
Rate of convergence of finite-difference approximations for degenerate linear parabolic equations with and coefficients.
Rates of Convergence for the Approximation of Dual Shift-Invariant Systems in ... (...).
Ratio rewards in networks
Rational Bézier curves with infinitely many integral points
In this paper we consider rational Bézier curves with control points having rational coordinates and rational weights, and we give necessary and sufficient conditions for such a curve to have infinitely many points with integer coefficients. Furthermore, we give algorithms for the construction of these curves and the computation of theirs points with integer coefficients.