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Tag: Matteo Diez

CNR to co-organize a mini-symposium at SIAM CSE21 on active learning and information fusion, March 5

Science and engineering require reliable predictions. However, uncertainties affect every model and arise in every step of the computational process (model selection, parameter tuning, discretization and solver errors, likelihood of scenarios). In addition to this, reliability relates to accuracy, which frequently demands for computational time and resources. This motivates the interest for two synergic thrusts: …

International Conference on Uncertainty Quantification & Optimisation, 16-19 November 2020

Organised by the H2020 ETN UTOPIAE, UQOP gathers internationally renowned researchers developing methods in the fields of optimisation and uncertainty quantification. The conference themes cover all related aspects of computational uncertainty management and optimisation in the presence of uncertainty, with a particular emphasis on the case of complex numerical models and large simulation infrastructures. The event …

The 33rd Symposium on Naval Hydrodynamics commemorated Prof. Yusuke Tahara

The 33rd Symposium on Naval Hydrodynamics closed its sessions on Friday, October 23. Due to the Covid-19 pandemic, the Symposium was not held in person in Osaka as originally planned but, for the first time, was run online reaching an audience of nearly 600 participants. This edition of the Symposium was dedicated to the memory …

INM to co-organize a special session on multi-fidelity methods at the upcoming AIAA Aviation Forum

The upcoming AIAA Aviation 2020 Forum (virtual event) will host a special session on Multi-Fidelity Methods for Vehicle Applications. The session will document recent research in the community related to the development of multi-fidelity methods and their application to vehicle design assessment and optimization, including but not limited to aircraft and ships. Multi-fidelity methods have …