Computing D-Optimal solutions for huge-scale linear and quadratic response-surface models
Optimization and Control
2023-09-11 v1
Abstract
We consider algorithmic approaches to the D-optimality problem for cases where the input design matrix is large and highly structured, in particular implicitly specified as a full quadratic or linear response-surface model in several levels of several factors. Using row generation techniques of mathematical optimization, in the context of discrete local-search and continuous relaxation aimed at branch-and-bound solution, we are able to design practical algorithms.
Cite
@article{arxiv.2309.04009,
title = {Computing D-Optimal solutions for huge-scale linear and quadratic response-surface models},
author = {Gabriel Ponte and Marcia Fampa and Jon Lee},
journal= {arXiv preprint arXiv:2309.04009},
year = {2023}
}