Branch-and-bound for integer D-optimality with fast local search and variable-bound tightening
成果类型:
Article; Early Access
署名作者:
Ponte, Gabriel; Fampa, Marcia; Lee, Jon
署名单位:
Universidade Federal do Rio de Janeiro; University of Michigan System; University of Michigan
刊物名称:
MATHEMATICAL PROGRAMMING
ISSN/ISSBN:
0025-5610
DOI:
10.1007/s10107-025-02196-2
发表日期:
2025
关键词:
monitoring network
designs
摘要:
We develop a branch-and-bound algorithm for the integer D-optimality problem, a central problem in statistical design theory, based on two convex relaxations, employing variable-bound tightening and fast local-search procedures, testing our ideas on various test problems.