971 resultados para Iterative closest point algorithm


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Dans la schizophrénie, la religion a surtout été étudiée sous son aspect pathologique. Or, de nombreux patients s'appuient sur leurs ressources spirituelles pour faire face à leur maladie. Nous avons développé une grille d'entretien pour évaluer les relations entre spiritualité, pratiques religieuses et coping. Cet instrument a démontré que la religion a des effets positifs pour 71% et négatifs pour 14% des 115 patients évalués. La religion influence l'image de soi, les symptômes, l'adaptation psychosociale, la toxicomanie, les tentatives de suicide et l'adhérence au traitement. Elle devrait donc être systématiquement évaluée par le praticien. Notre instrument a démontré une bonne fidélité inter-juge et une validité théorique. Il ne nécessite pas de formation préalable. C'est pourquoi, nous le mettons à disposition des praticiens.

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The present paper studies the probability of ruin of an insurer, if excess of loss reinsurance with reinstatements is applied. In the setting of the classical Cramer-Lundberg risk model, piecewise deterministic Markov processes are used to describe the free surplus process in this more general situation. It is shown that the finite-time ruin probability is both the solution of a partial integro-differential equation and the fixed point of a contractive integral operator. We exploit the latter representation to develop and implement a recursive algorithm for numerical approximation of the ruin probability that involves high-dimensional integration. Furthermore we study the behavior of the finite-time ruin probability under various levels of initial surplus and security loadings and compare the efficiency of the numerical algorithm with the computational alternative of stochastic simulation of the risk process. (C) 2011 Elsevier Inc. All rights reserved.

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Colleagues, Ladies and Gentlemen. My presence here is due to accidental circumstances and I must confess that I feel a little embarassed by the fact Both your scientific quality and the worlwide acceptance of the results achieved by you in your research fields make me prudent and, to a certain extent, cautious.

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We consider stochastic partial differential equations with multiplicative noise. We derive an algorithm for the computer simulation of these equations. The algorithm is applied to study domain growth of a model with a conserved order parameter. The numerical results corroborate previous analytical predictions obtained by linear analysis.

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