Results 101 to 110 of about 700 (136)
Abstracts of the 14th International Congress of the European Geriatric Medicine Society: 10-12 October 2018, Berlin, Germany. [PDF]
Eur Geriatr Med, 2018 europepmc +1 more source
Journal of Computational and Applied Mathematics, 2022 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Samad Noeiaghdam +2 more
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Data error analysis in unconstrained optimization problems with the CESTAC method
Mathematics and Computers in Simulation, 1988 This paper is concerned with the solution of optimization problems that depend on inexact data from a known distribution: how does the solution depend on the data? A method to estimate mean and standard deviation of the distribution of the solution is proposed. This method is about three times as expensive as a single optimization.
Nicole Alliot
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SeMA Journal, 2020 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Mohammad Ali Fariborzi Araghi
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, 2021 The goal of this work is to apply the stochastic arithmetic (SA) in discrete form and the CESTAC (Controle et Estimation Stochastique des Arrondis de Calculs) method to validate the numerical results of solving fuzzy Fredholm and Volterra integral equations (IEs) by homotopy analysis method (HAM).
Samad Noeiaghdam +1 more
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A variant of the CESTAC method and its application to constrained optimization
Mathematics and Computers in Simulation, 1988 This paper is concerned with estimating the number of exact digits in a computed solution to a nonlinear programming problem. Related to this goal is the design of stopping criteria based on statistical grounds. Such ideas are developed. Results of numerical experiments are provided.
J. Abadie, F. Dekhli
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Testing Stochastic Arithmetic and CESTAC Method Via Polynomial Computation
, 2007 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.
René Alt +2 more
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Soft Computing, 2020 In this paper, by using the CESTAC method and the CADNA library a procedure is proposed to solve a fuzzy initial value problem based on RBF-meshless methods under generalized H-differentiability. So a reliable approach is presented to determine optimal shape parameter and number of points for RBF-meshless methods.
Hasan Barzegar Kelishami +2 more
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