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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

  1. Content type: Research article

    In this paper we present a collection of techniques used to formulate a projection-based reduced order model (ROM) for zero Mach limit thermally coupled Navier–Stokes equations. The formulation derives from a ...

    Authors: Ricardo Reyes, Ramon Codina, Joan Baiges and Sergio Idelsohn

    Citation: Advanced Modeling and Simulation in Engineering Sciences 2018 5:28

    Published on: