From Discretization to Model Order Reduction

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2025年

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Francisco Chinesta,
Elías Cueto,
Victor Champaney,
Chady Ghnatios,
Amine Ammar,
Nicolas Hascoët,
David González,
Icíar Alfaro,
Daniele Di Lorenzo,
Angelo Pasquale,
Dominique Baillargeat

摘要

To approximate the solution of problems usually encountered in sciences and engineering, defined in space and time, u(x, t), a natural choice is to express it as a combination of a reduced number of functions with a physically or mathematically sound.

To approximate the solution of problems usually encountered in sciences and engineering, defined in space and time, u(x,&#xa0;t), a natural choice is to express it as a combination of a reduced number of functions with a physically or mathematically sound.

From Discretization to Model Order Reduction

摘要

To approximate the solution of problems usually encountered in sciences and engineering, defined in space and time, u(x, t), a natural choice is to express it as a combination of a reduced number of functions with a physically or mathematically sound.