Introduction
Performing accurate and predictive numerical simulations requires models which have been carefully calibrated and validated with respect to experimental observations. The goal of this mini-symposium is to present, in both deterministic and stochastic (Bayesian) contexts, recent fundamental advances in inverse methods in regards to innovative and powerful numerical approaches which emerged recently.
Call for paper
Submission Topics
We anticipate contributions on the following topics:
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data assimilation and real-time model updating;
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use of model reduction or multiscale approaches;
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adaptive strategies;
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analysis of full-field measurements;
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representation and propagation of model and measurement errors;
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goal-oriented model updating;
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experimental design.
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Important Date
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Conference Date
Jun 26
2017
toJun 28
2017
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Jun 28 2017
Registration deadline
Contact Information
- admos@cimne.upc.edu
- 34 *********
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