International audienceIn this work we study relevant ringoid structures in stochastic arithmetic involving multiplication. The study of such structures are needed in order to solve linear problems involving stochastic numbers in the matrix and not only in the right-hand side as it was formerly studied. This continues and extends a previous work where it has been shown that computation with generalized stochastic numbers as regard to addition and multiplication by scalars can be reduced to computation in familiar vector spaces. This allowed us to solve certain practical problems with stochastic numbers and to compare algebraically obtained results with practical applications of stochastic numbers. So this theoretical works aims at extending ...
This book gives a somewhat unconventional introduction to stochastic analysis. Although most of the ...
In this paper, we present the groundwork for an Itô/Malliavin stochastic cal-culus and Hida's white ...
In this paper, we deal with the problem of implementing an abstract machine for a stochastic ver-sio...
International audienceStochastic arithmetic involving addition and multiplication by scalars is stud...
International audienceIt has been recently shown that computation with stochastic numbers as regard ...
International audienceStochastic arithmetic has been developed as a model for computingwith imprecis...
International audienceStochastic arithmetic has been developed as amodel for exact computing with im...
This work presents a simple study of stochastic arithmetic complex number operators for addition and...
This book highlights the latest advances in stochastic processes, probability theory, mathematical s...
The purpose of this article is to present two types of data structures, binary search trees and usua...
Stochastic analysis is the analysis of functionals defined on the Wiener space, i.e., the space on w...
This paper examines numerical issues in computing solutions to networks of stochastic automata. It i...
A combinatorial construction of the multiple stochastic integral is de-veloped using sequences in Cl...
Numerical results are obtained in regard to two simple stochastic models of cascade multiplication. ...
The Silvri Workshop was divided into a short summer school and a working conference, producing lectu...
This book gives a somewhat unconventional introduction to stochastic analysis. Although most of the ...
In this paper, we present the groundwork for an Itô/Malliavin stochastic cal-culus and Hida's white ...
In this paper, we deal with the problem of implementing an abstract machine for a stochastic ver-sio...
International audienceStochastic arithmetic involving addition and multiplication by scalars is stud...
International audienceIt has been recently shown that computation with stochastic numbers as regard ...
International audienceStochastic arithmetic has been developed as a model for computingwith imprecis...
International audienceStochastic arithmetic has been developed as amodel for exact computing with im...
This work presents a simple study of stochastic arithmetic complex number operators for addition and...
This book highlights the latest advances in stochastic processes, probability theory, mathematical s...
The purpose of this article is to present two types of data structures, binary search trees and usua...
Stochastic analysis is the analysis of functionals defined on the Wiener space, i.e., the space on w...
This paper examines numerical issues in computing solutions to networks of stochastic automata. It i...
A combinatorial construction of the multiple stochastic integral is de-veloped using sequences in Cl...
Numerical results are obtained in regard to two simple stochastic models of cascade multiplication. ...
The Silvri Workshop was divided into a short summer school and a working conference, producing lectu...
This book gives a somewhat unconventional introduction to stochastic analysis. Although most of the ...
In this paper, we present the groundwork for an Itô/Malliavin stochastic cal-culus and Hida's white ...
In this paper, we deal with the problem of implementing an abstract machine for a stochastic ver-sio...