Constructing Embedded Lattice-Based Algorithms for Multivariate Function Approximation with a Composite Number of Points
Crossref DOI link: https://doi.org/10.1007/s00365-024-09688-y
Published Online: 2024-04-29
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Kuo, Frances Y.
Mo, Weiwen
Nuyens, Dirk
Text and Data Mining valid from 2024-04-29
Version of Record valid from 2024-04-29
Article History
Received: 1 September 2022
Revised: 21 November 2023
Accepted: 19 March 2024
First Online: 29 April 2024