Add to ORKGThe paper is dedicated to the modeling and the simulation of random processes and fields. Using the concept and the theory of weakly correlated functions a consistent representation of sufficiently smooth random processes will be derived. Special applications will be given with respect to the simulation of road surfaces in vehicle dynamics and to the confirmation of theoretical results with respect to the zeros of random polynomials
This paper presents a procedure for simulating random road disturbances based on the method of non-c...
A random field is a random function φ from the square lattice ℤᵈ to some fixed standard Borel space ...
The non-Gaussian random fields are used to modelling some dynamic loads generated by wind turbulence...
The paper is dedicated to the modeling and the simulation of random processes and fields. Using the ...
The stochastic simulation of random road surfaces as well as of parallel tracks is considered. ...
International audienceThe usual way that mathematicians work with randomness is by a rigorous for-mu...
The present thesis addresses two aspects of random fields: sample continuity and the simulation of r...
Empirical autocorrelation functions of returns of stochastic price processes show phenomena of corre...
this paper, we will describe a convenient method for generating these random processes and fields e#...
International audienceThe paper is devoted to recall weak dependence conditions from Dedecker et al....
International Series of Monographs in Natural Philosophy, Volume 32: Random Functions and Turbulence...
Traditional approaches to the study of random polynomials and random analytic functions have focusse...
A Monte Carlo process for the simulation of random walks and random surfaces is proposed. It is base...
AbstractThis paper presents a procedure for simulating random road disturbances based on the method ...
In geotechnical applications, mechanical properties of soil vary spatially within the soil mass and ...
This paper presents a procedure for simulating random road disturbances based on the method of non-c...
A random field is a random function φ from the square lattice ℤᵈ to some fixed standard Borel space ...
The non-Gaussian random fields are used to modelling some dynamic loads generated by wind turbulence...
The paper is dedicated to the modeling and the simulation of random processes and fields. Using the ...
The stochastic simulation of random road surfaces as well as of parallel tracks is considered. ...
International audienceThe usual way that mathematicians work with randomness is by a rigorous for-mu...
The present thesis addresses two aspects of random fields: sample continuity and the simulation of r...
Empirical autocorrelation functions of returns of stochastic price processes show phenomena of corre...
this paper, we will describe a convenient method for generating these random processes and fields e#...
International audienceThe paper is devoted to recall weak dependence conditions from Dedecker et al....
International Series of Monographs in Natural Philosophy, Volume 32: Random Functions and Turbulence...
Traditional approaches to the study of random polynomials and random analytic functions have focusse...
A Monte Carlo process for the simulation of random walks and random surfaces is proposed. It is base...
AbstractThis paper presents a procedure for simulating random road disturbances based on the method ...
In geotechnical applications, mechanical properties of soil vary spatially within the soil mass and ...
This paper presents a procedure for simulating random road disturbances based on the method of non-c...
A random field is a random function φ from the square lattice ℤᵈ to some fixed standard Borel space ...
The non-Gaussian random fields are used to modelling some dynamic loads generated by wind turbulence...