Approximation Bounds for Model Reduction on Polynomially Mapped Manifolds

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DOI: 10.48550/arxiv.2312.00724 Publication Date: 2023-01-01
ABSTRACT
For projection-based linear-subspace model order reduction (MOR), it is well known that the Kolmogorov n-width describes best-possible error for a reduced (ROM) of size n. In this paper, we provide approximation bounds ROMs on polynomially mapped manifolds. particular, show depend polynomial degree p mapping function as linear underlying problem. This results in (n, p)-width, which lower bound ROM manifolds and
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