Advances in Model Order Reduction Techniques
Model Order Reduction is experiencing continuous advances for becoming more efficient, more robust and for embracing challenging applications of scientific and technological relevance. The present issue is expected grouping recent advanced techniques pushing forward the limits of nowadays model reduction techniques in engineering sciences. It is expected covering techniques like POD, RB and PGD techniques and their application of complex entering problems, covering aspects related to their mathematical foundations, the algorithmic aspects and their applicative potential.
Edited by Pierre Ladeveze, Francisco Chinesta and Tomas Chacon Rebollo
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