On Efficient Algorithms for Computing Near-Best Polynomial Approximations to High-Dimensional, Hilbert-Valued Functions From Limited Samples
Sparse polynomial approximation is an important tool for approximating high-dimensional functions from limited samples – a task commonly arising in computational science and engineering. Yet, it lacks a complete theory. There is a well-developed theory of best s-term polynomial approximation, which...
| Main Author: | |
|---|---|
| Format: | Book |
| Published: |
European Mathematical Society Publishing House
2024
|
| Subjects: | |
| Online Access: | View this record in EBSCOhost |