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Introduction
Numerical Modeling and Simulation is increasingly used as a complement to Experimental Modeling and Analysis and as a design or certification tool in engineering applications. However, after more than thirty years of worldwide research efforts around Adaptive Modeling and Simulation, the problem of properly assessing and controlling the quality of the numerical solutions is still relevant and an issue of major interest. It is true that, today, certain maturity has been reached and calculations for industrial applications can be verified and error bounds can be given in many cases. However, the design of sophisticated engineering systems requires increasingly complex and coupled modeling for which verification tools are missing. Furthermore, new issues appeared as industry needs faster calculations for real-time decision making, design optimization, inverse analysis, or simulation-based control purposes, which urgently requires new strategies for mastering calculations, bounding errors, in particular in presence of uncertainties.
The objective of the ADMOS 2015 conference is to provide a forum for presenting and discussing the current state-of-the-art achievements on Adaptive Modeling and Simulation, including theoretical models, numerical methods, algorithmic strategies and challenging engineering applications.
ADMOS is one of the conferences that launched the ECCOMAS series of thematic events, in 2003. It is a medium-size conference (an average of about 80-100 delegates), which allows for dynamic and fruitful exchanges between participants. After six successful editions, held successively in Göteborg in 2003, Barcelona in 2005, Göteborg in 2007, Bruxelles in 2009, Paris in 2011, and Lisbon in 2013, the seventh edition of ADMOS will take place at Ecole Centrale, in Nantes (France).
ADMOS 2015 is one of the Thematic Conferences of the European Community on Computational Methods in Applied Sciences (ECCOMAS).
It is also an International Association for Computational Mechanics (IACM) Special Interest Conference.
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