Approximation Bounds for Model Reduction on Polynomially Mapped Manifolds
For projection-based linear-subspace model order reduction (MOR), it is well known that the Kolmogorov $n$-width describes the best-possible error for a reduced order model (ROM) of size $n$. In this paper, we provide approximation bounds for ROMs on polynomially mapped manifolds. In particular, we...
Saved in:
Main Authors: | Buchfink, Patrick, Glas, Silke, Haasdonk, Bernard |
---|---|
Format: | Article |
Language: | English |
Published: |
Académie des sciences
2024-12-01
|
Series: | Comptes Rendus. Mathématique |
Subjects: | |
Online Access: | https://comptes-rendus.academie-sciences.fr/mathematique/articles/10.5802/crmath.632/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
On Saigo Fractional $q$-Calculus of a General Class of $q$-Polynomials
by: Biniyam Shimelis, et al.
Published: (2024-03-01) -
Solving change of basis from Bernstein to Chebyshev polynomials
by: D.A. Wolfram
Published: (2025-06-01) -
A generalization of Phillips operators by using the Appell polynomials of class A ( 2 ) $A^{(2)}$
by: Melek Sofyalıoğlu Aksoy
Published: (2025-02-01) -
Iterative methods for solving fractional differential equations using non-polynomial splines
by: Faraidun K. Hamasalh, et al.
Published: (2024-12-01) -
SSMM: Semi-supervised manifold method with spatial-spectral self-training and regularized metric constraints for hyperspectral image dimensionality reduction
by: Bei Zhu, et al.
Published: (2025-02-01)