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Call for papers: Advances in Model Order Reduction Techniques

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Advanced Modeling and Simulation in Engineering Sciences welcomes submissions to the thematic series on '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.

Deadline for submissions: June 30th, 2018

Lead Guest Editor:

Pierre Ladeveze, LMT/ENS Cachan, France

Guest Editors:

Francisco Chinesta, Ecole Centrale Nantes, France
Tomas Chacon Rebollo, Universidad de Sevilla, Spain

Before submitting your manuscript, please ensure you have carefully read the submission guidelines for Advanced Modeling and Simulation in Engineering Sciences . The complete manuscript should be submitted through the Advanced Modeling and Simulation in Engineering Sciences  submission system. To ensure that you submit to the correct thematic series please select the appropriate special issue in the drop-down menu upon submission. All submissions will undergo rigorous peer review and accepted articles will be published within the journal as a collection.


Submissions will also benefit from the usual advantages of open access publication: 

Rapid publication: Online submission, electronic peer review and production make the process of publishing your article simple and efficient 

High visibility and international readership in your field: Open access publication ensures high visibility and maximum exposure for your work - anyone with online access can read your article 

No space constraints: Publishing online means unlimited space for figures, extensive data and video footage

Authors retain copyright, licensing the article under a Creative Commons license: articles can be freely redistributed and reused as long as the article is correctly attributed.  






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