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news [2018/05/10 17:15]
potthast
news [2018/05/10 17:15] (current)
potthast
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 April 2018.  April 2018. 
 FROM CRACK PROPAGATION TO RANDOM GRAPHS AND THE ARCTIC SEA ICE FROM CRACK PROPAGATION TO RANDOM GRAPHS AND THE ARCTIC SEA ICE
-Organiser: M. Branicki (Mathematics,​ University of Edinburgh, UK)+ 
 +Organiser: M. Branicki (Mathematics,​ University of Edinburgh, UK)\\
 Organising committee : M. Branicki, D. Duncan (Heriot-Watt,​ UK), K. Law (Manchester,​ UK)\\ Organising committee : M. Branicki, D. Duncan (Heriot-Watt,​ UK), K. Law (Manchester,​ UK)\\
 Location: International Centre for Mathematical Sciences, Edinburgh, UK (http://​www.icms.org.uk)\\ Location: International Centre for Mathematical Sciences, Edinburgh, UK (http://​www.icms.org.uk)\\
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 with random parameters, to (Lagrangian-type) data assimilation on the nodes time-dependent random with random parameters, to (Lagrangian-type) data assimilation on the nodes time-dependent random
 graphs. In the presence of model uncertainties a number of important problems need to be addressed: graphs. In the presence of model uncertainties a number of important problems need to be addressed:
 +
 (i) Appropriate (stochastic) parameterisation the underlying integral operators. (i) Appropriate (stochastic) parameterisation the underlying integral operators.
 +
 (ii) Choice of the necessary data-adapted discretisation for approximating time-dependent models for (ii) Choice of the necessary data-adapted discretisation for approximating time-dependent models for
 crack propagation and their capture. crack propagation and their capture.
 +
 (iii) Aiding the procedures in (i)-(ii) via Bayesian data assimilation and appropriate Markov Chain (iii) Aiding the procedures in (i)-(ii) via Bayesian data assimilation and appropriate Markov Chain
 Monte Carlo (MCMC), and Multi Level Sequential Monte Carlo sampling (MLSMC). Monte Carlo (MCMC), and Multi Level Sequential Monte Carlo sampling (MLSMC).
 +
 (iv) Derivation of criteria for stability, accuracy and quantification of uncertainty due to the parameterisation (iv) Derivation of criteria for stability, accuracy and quantification of uncertainty due to the parameterisation
 and/or the necessary discretisation of nonlocal problems. and/or the necessary discretisation of nonlocal problems.
news.txt · Last modified: 2018/05/10 17:15 by potthast