Error Control, Adaptive Discretizations, and Applications, Part 1
- 1st Edition, Volume 58 - June 28, 2024
- Imprint: Academic Press
- Editors: Franz Chouly, Stéphane P.A. Bordas, Roland becker, Pascal Omnes
- Language: English
- Hardback ISBN:9 7 8 - 0 - 4 4 3 - 2 9 4 4 8 - 8
- eBook ISBN:9 7 8 - 0 - 4 4 3 - 2 9 4 4 9 - 5
Error Control, Adaptive Discretizations, and Applications, Volume 58, Part One highlights new advances in the field, with this new volume presenting interesting chapters writte… Read more
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Request a sales quoteError Control, Adaptive Discretizations, and Applications, Volume 58, Part One highlights new advances in the field, with this new volume presenting interesting chapters written by an international board of authors. Chapters in this release cover hp adaptive Discontinuous Galerkin strategies driven by a posteriori error estimation with application to aeronautical flow problems,
An anisotropic mesh adaptation method based on gradient recovery and optimal shape elements, and Model reduction techniques for parametrized nonlinear partial differential equations.
An anisotropic mesh adaptation method based on gradient recovery and optimal shape elements, and Model reduction techniques for parametrized nonlinear partial differential equations.
- Covers multi-scale modeling
- Includes updates on data-driven modeling
- Presents the latest information on large deformations of multi-scale materials
PhD students, experienced researchers, post-doctoral researchers, R&D specialists in industry
1. hp adaptive Discontinuous Galerkin strategies driven by a posteriori error estimation with application to aeronautical flow problems
Jean-Baptiste Chapelier, Francesca Basile, Fabio Naddei, Marta De La Llave Plata, Vincent Couaillier and Romain Laraufie
2. An anisotropic mesh adaptation method based on gradient recovery and optimal shape elements
Andre Fortin
3. Model reduction techniques for parametrized nonlinear partial differential equations
Ngoc Cuong Nguye
Jean-Baptiste Chapelier, Francesca Basile, Fabio Naddei, Marta De La Llave Plata, Vincent Couaillier and Romain Laraufie
2. An anisotropic mesh adaptation method based on gradient recovery and optimal shape elements
Andre Fortin
3. Model reduction techniques for parametrized nonlinear partial differential equations
Ngoc Cuong Nguye
- Edition: 1
- Volume: 58
- Published: June 28, 2024
- No. of pages (Hardback): 430
- Imprint: Academic Press
- Language: English
- Hardback ISBN: 9780443294488
- eBook ISBN: 9780443294495
FC
Franz Chouly
Franz Chouly is professor at the University of Burgundy (Dijon, France). His research is focused on the numerical analysis of partial differential equations and variational inequalities, finite element methods, and applications in fluid and solid mechanics.
Affiliations and expertise
Professor, University of Burgundy, Dijon, FranceSB
Stéphane P.A. Bordas
Stéphane is a multi-disciplinary computational and data science researcher, educator, mentor and coach. He was trained as an engineer and applied mathematician who has been teaching and researching in computational sciences since year 1999, in various capacities. He has been in the top 1% most cited in his field, worldwide since year 2015 (ISI Clarivate).
Stéphane leads the Legato Team (legato-team.eu), a multi-disciplinary team of about 30 researchers of a dozen nationalities. He is focusing on bringing the rigour of mathematics to bring intuition into the behaviour of complex systems. In particular, he pioneered new approaches to guarantee the quality of surgical simulation devices.
The philosophy that he has been following is to create methodologies which translate across discipline boundaries. For example, the methodological backbone of his PhD thesis supports applications in fracture mechanics, nanoscale heterogeneities, biofilm growth, cancer growth, astrocytic metabolism and many others. Recently, his team has become involved, through the Institute of Advanced Studies of the University of Luxembourg in the nascent field of Computational Archaeology.
Currently, one of the main focus points of his Team is to bring machine learning tools to bear on mathematical models of physical phenomena. In particular, his group develops adaptive data assimilation, model selection and discretisation optimisation schemes for the deformation of soft matter under large deformation with applications to surgical simulations and robotics. His team has been applying such ideas to programmable matter, multi-scale material modelling, wind energy harvesting, chemical engineering process optimisation, among others.
Stéphane has taught over 5,000 students directly and given short courses and research seminars reaching thousands of attendees. He has extensive experience in one-to-one tutoring, mentoring and coaching across various disciplines. He has directly worked with over four hundred collaborators and over fifty different companies, worldwide, as an R&D consultant. Stéphane and his students and collaborators received multiple international prizes for their research and mentorship. He has raised over 28 million euros in research funding from the private and public sector alike. He is Fellow of the Learned Society of Wales, and recipient of the 2022 Eugenio Beltrami Senior Scientist Prize. He is Editor in Chief of Advances in Applied Mechanics, Executive Editor of Data-Centric Engineering, and Subject Editor for Applied Mathematical Modelling.
Affiliations and expertise
Research Unit in Eng Science, University of Luxembourg, LuxembourgRead Error Control, Adaptive Discretizations, and Applications, Part 1 on ScienceDirect