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Total result(s) found: 10

H. G. Matthies, E. Zander, B. V. Rosić, A. Litvinenko, O. Pajonk, Inverse Problems in a Bayesian Setting, Chapter in the book Computational Methods for Solids and Fluids, edited by Adnan Ibrahimbegovic, Springer, 2016

Keywords:

Inverse Problems in a Bayesian Setting

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F. Nobile, L. Tamellini, R. Tempone and F. Tesei, An adaptive sparse grid algorithm for elliptic PDEs with lognormal diffusion coefficient, “Sparse Grids and Applications - Stuttgart 2014”, Lecture Notes in Computational Science and Engineering, Volume 109 2016, Springer

Keywords:

An adaptive sparse grid algorithm with application to elliptic PDEs with lognormal diffusion coefficient

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F. Nobile, L. Tamellini, R. Tempone, Comparison of Clenshaw–Curtis and Leja quasi-optimal sparse grids for the approximation of random PDEs, International Conference on Spectral and High-Order Methods 2014 (ICOSAHOM'14), Salt Lake City, Utah, USA, June 23-27, 2014. Spectral and High Order Methods for Partial Differential Equations. Volume 106 of the series Lecture Notes in Computational Science and Engineering, pp 475-482. Springer, 2015

Keywords:

Uncertainty Quantification ; PDEs with random data ; linear elliptic equations ; Stochastic Collocation methods ; Sparse grids approximation ; Leja points ; Clenshaw–Curtis points

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M. Motamed, F. Nobile, R. Tempone, Analysis and Computation of Hyperbolic PDEs with Random Data, Encyclopedia of Applied and Computational Mathematics, pp 51-58, November 2015

Keywords:

Analysis and Computation of Hyperbolic PDEs with Random Data

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J. Beck, F. Nobile, L. Tamellini, R. Tempone. A quasi-optimal sparse grids procedure for groundwater flows. Spectral and High Order Methods for Partial Differential Equations - ICOSAHOM 2012. Selected papers from the ICOSAHOM conference June 25-29, 2012, Gammarth, Tunisia. Lecture Notes in Computational Science and Engineering Volume 95, pp. 1-16, 2014.

Keywords:

Uncertainty Quantification

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Hakim Ghazzai, Elias Yaacoub, Mohamed-Slim Alouini, Adnan Abu Dayya, "Smart grid energy procurement for green LTE cellular networks", Green Networking and Communications: ICT for Sustainability, 2013

Keywords:

LTE networks, smart grid

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A.
Litvinenko and H. G. Matthies, Numerical Methods for Uncertainty Quantification and Bayesian update in Aerodynamics. Chapter in the book Management and Minimisation of Uncertainties and Errors in Numerical Aerodynamics, pp. 267-283, Editors: B. Eisfeld, H. Barnewitz, W. Fritz, F. Thiele, Springer, 2013

Keywords:

Numerical Methods for Uncertainty Quantification and Bayesian update in Aerodynamics

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Q. Zhu, H. Tembine, and T. Basar. Hybrid learning in stochastic games and its applications in network security. In F. L. Lewis, D. Liu (Eds.) Reinforcement Learning and Approximate Dynamic Programming for Feedback Control, Series on Computational Intelligence, IEEE Press/Wiley, 2013, chapter 14, pp. 305-329

Keywords:

Strategic Learning, Hybrid systems, Game Theory, Network Security

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Hoel, Håkon; von Schwerin, Erik; Szepessy, Anders; Tempone, Raúl Adaptive multilevel Monte Carlo simulation. Numerical analysis of multiscale computations, 217–234, Lect. Notes Comput. Sci. Eng., 82, Springer, Heidelberg, 2012.

Keywords:

Computational finance, Monte Carlo, multilevel, adaptivity, weak approximation, error control, Euler–Maruyama method, a posteriori error estimates, backward dual functions, adjoints

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H. Tembine, P. Vilanova, and M. Debbah. Noisy mean field game model for malware propagation in opportunistic networks. In Rahul Jain and Rajgopal Kannan, editors, Game Theory for Networks, volume 75 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, pages 459-474. Springer Berlin Heidelberg, 2012.

Keywords:

Mean field games, opportunistic networks.

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