Abstract. The CESTAC method and its implementation known as CADNA software have been created to estimate the accuracy of the solution of real life problems when these solutions are obtained from numerical methods implemented on a computer. The method takes into account uncertainties on data and round-off errors. On another hand a theoretical model for this method in which operands are gaussian variables called stochastic numbers has been developed. In this paper numerical examples based on the Lagrange polynomial interpolation and polynomial computation have been constructed in order to demonstrate the consistency between the CESTAC method and the theory of stochastic numbers. Comparisons with the interval approach are visualized
Numerical simulation is used more and more frequently in the analysis of physical phenomena. A simul...
International audienceFloating-point arithmetic precision is limited in length the IEEE single (resp...
This article presents a new polynomial dimensional decomposition method for solving stochastic probl...
International audienceThe CESTAC method and its implementation known as CADNA software have been cre...
International audienceThe theoretical study of the stability of thenumerical solution of a different...
International audienceStochastic arithmetic enables one to estimate round-off error propagation usin...
International audienceThe Discrete Stochastic Arithmetic DSA is a probabilistic approach for round-o...
International audienceStochastic arithmetic has been developed as amodel for exact computing with im...
Finite precision computations affect the accuracy of computed solutions and sometimes the stability ...
Numerical validation of computed results in scientific computation is always an essential problem as...
International audienceA software tool using standard and special interval arithmetic operations toge...
International audienceThis paper shows the efficiency of collocation methods for integrating ordinar...
International audienceQuantifying errors and losses due to the use of Floating-Point (FP) calculatio...
International audienceStochastic arithmetic has been developed as a model for computingwith imprecis...
The first graduate-level textbook to focus on fundamental aspects of numerical methods for stochasti...
Numerical simulation is used more and more frequently in the analysis of physical phenomena. A simul...
International audienceFloating-point arithmetic precision is limited in length the IEEE single (resp...
This article presents a new polynomial dimensional decomposition method for solving stochastic probl...
International audienceThe CESTAC method and its implementation known as CADNA software have been cre...
International audienceThe theoretical study of the stability of thenumerical solution of a different...
International audienceStochastic arithmetic enables one to estimate round-off error propagation usin...
International audienceThe Discrete Stochastic Arithmetic DSA is a probabilistic approach for round-o...
International audienceStochastic arithmetic has been developed as amodel for exact computing with im...
Finite precision computations affect the accuracy of computed solutions and sometimes the stability ...
Numerical validation of computed results in scientific computation is always an essential problem as...
International audienceA software tool using standard and special interval arithmetic operations toge...
International audienceThis paper shows the efficiency of collocation methods for integrating ordinar...
International audienceQuantifying errors and losses due to the use of Floating-Point (FP) calculatio...
International audienceStochastic arithmetic has been developed as a model for computingwith imprecis...
The first graduate-level textbook to focus on fundamental aspects of numerical methods for stochasti...
Numerical simulation is used more and more frequently in the analysis of physical phenomena. A simul...
International audienceFloating-point arithmetic precision is limited in length the IEEE single (resp...
This article presents a new polynomial dimensional decomposition method for solving stochastic probl...