Provides an in-depth treatment of sparse polynomial approximation methods.
These methods have emerged as useful tools for various high-dimensional approximation tasks arising in a range of applications in computational science and engineering.
Publisher: Society for Industrial & Applied Mathematics,U.
Author(s): Clayton G.
Webster Number of pages: 292 Collection: Computational Science and Engineering Publication date: 2021 Dimensions: 178 x 256 x 24 Cover type: Paperback / softback.
Publisher | Society for |
---|---|
Author(s) | Clayton |
Number of pages | 292 |
Collection | Computational |
Publication date | 2021 |
Dimensions | 178 x 256 x 24 |
Cover type | Paperback softback |