Results 11 to 20 of about 3,675,924 (300)
Transformation Methods for Static Field Problems With Random Domains [PDF]
, 2011 The numerical solution of partial differential equations onto random domains can be done by using a mapping transforming this random domain into a deterministic domain. The issue is then to determine this one to one random mapping.
J. C. Mipo +5 more
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Multi-element stochastic reduced basis methods [PDF]
, 2007 This paper presents mutli-element Stochastic Reduced Basis Methods (ME-SRBMs) for solving linear stochastic partial differential equations. In ME-SRBMs, the domain of definition of the random inputs is decomposed into smaller subdomains or random ...
Surya Mohan, P. +5 more
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Comparison of two approaches to compute magnetic field in problems with random domains [PDF]
, 2012 This paper is a postprint of a paper submitted to and accepted for publication in Science, Measurement & Technology, IET and is subject to Institution of Engineering and Technology Copyright.
MAC, Duy Hung +2 more
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Solution of Static Field Problems With Random Domains [PDF]
, 2010 A method to solve stochastic partial differential equations on random domains consists in using a one-to-one random mapping function which transforms the random domain into a deterministic domain.
Stephane Clenet +7 more
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Research on random propagation method of hydraulic fracture based on zero-thickness cohesive element
Rock and Soil Mechanics, 2021 In order to effectively simulate the process of random propagation of hydraulic fractures in fractured shale reservoirs, a new method of random propagation of hydraulic fractures based on the finite element mesh embedded with zero-thickness cohesive ...
LI Jun +4 more
doaj +1 more source
A Protocol for Generating Random Elements with Their Probabilities [PDF]
, 2014 We give an AM protocol that allows the verifier to sample elements x from a probability distribution P, which is held by the prover. If the prover is honest, the verifier outputs (x, P(x)) with probability close to P(x). In case the prover is dishonest, one may hope for the following guarantee: if the verifier outputs (x, p), then the probability that ...
Holenstein Thomas, Künzler Robin
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Calibrating Dependence Between Random Elements [PDF]
Journal of Theoretical Probability, 2020 Attempts to quantify dependence between random elements X and Y via maximal correlation go back to Gebelein (1941) and Rényi (1959). After summarizing properties (including some new) of the Rényi measure of dependence, a calibrated scale of dependence is introduced. It is based on the ``complexity`` of approximating functions of X by functions of Y.
Abram M. Kagan, Gábor J. Székely
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Discrete element method to simulate continuous material by using the cohesive beam model [PDF]
, 2012 The mechanical behavior of materials is usually simulated by the continuous mechanics approach. However, simulation of non-continuous phenomena like multi fracturing is not well adapted to a continuous description.
Jean-luc Charles +8 more
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Towards gigantic RVE sizes for 3D stochastic fibrous networks [PDF]
, 2014 The size of representative volume element (RVE) for 3D stochastic fibrous media is investigated. A statistical RVE size determination method is applied to a specific model of random microstructure: Poisson fibers. The definition of RVE size is related to
Jeulin, D. +5 more
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On Properties of Polynomials in Random Elements [PDF]
Theory of Probability & Its Applications, 2016 The paper deals with different properties of polynomials in random elements: bounds for characteristics functionals of polynomials, stochastic generalization of the Vinogradov mean value theorem, characterization problem, bounds for probabilities to hit the balls.
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