Collection
Topical Collection dedicated to the ICERM Spring 2020 semester program on Model Order Reduction
- Submission status
- Closed
This collection is dedicated to the ICERM Spring 2020 program on Model Order Reduction. Aiming to focus research effort on current areas of promising research and to galvanize new and existing collaborations, the Spring 2020 ICERM semester program focused on both theoretical investigation and practical algorithm development for reduction in the complexity - the dimension, the degrees of freedom, the data - arising in these models.
The program in particular aimed to integrate diverse fields of mathematical analysis, statistical sciences, data and computer science, and specifically to attract researchers working in the areas of model order reduction, data-driven model calibration and simplification, computational approximation in high dimensions, and data-intensive uncertainty quantification.
The four broad thrusts of the program are (1) mathematics of reduced order models, (2) algorithms for approximation and complexity reduction, (3) computational statistics and data-driven techniques, and (4) application-specific design.
Editors
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Yanlai Chen
University of Massachusetts, Dartmouth
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Sigal Gottlieb
University of Massachusetts Dartmouth
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Serkan Gugercin
Virginia Polytechnic Institute and State University
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Misha Kilmer
Tufts University
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Akil Narayan
University of Utah
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Daniele Venturi
University of California Santa Cruz
Articles (5 in this collection)
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A FOM/ROM Hybrid Approach for Accelerating Numerical Simulations
Authors
- Lihong Feng
- Guosheng Fu
- Zhu Wang
- Content type: OriginalPaper
- Published: 28 October 2021
- Article: 61
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A Reduced Order Model Approach to Inverse Scattering in Lossy Layered Media
Authors
- Liliana Borcea
- Vladimir Druskin
- Jörn Zimmerling
- Content type: OriginalPaper
- Published: 16 August 2021
- Article: 1
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Operator Inference of Non-Markovian Terms for Learning Reduced Models from Partially Observed State Trajectories
Authors
- Wayne Isaac Tan Uy
- Benjamin Peherstorfer
- Content type: OriginalPaper
- Published: 13 August 2021
- Article: 91
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L1-Based Reduced Over Collocation and Hyper Reduction for Steady State and Time-Dependent Nonlinear Equations
Authors (first, second and last of 4)
- Yanlai Chen
- Lijie Ji
- Zhenli Xu
- Content type: OriginalPaper
- Published: 17 February 2021
- Article: 10