Data-driven confidence bound for structural response using segmented least squares: a mixed-integer programming approach

DOI10.1007/s13160-024-00657-3MaRDI QIDQ6614962

Yoshihiro Kanno

Publication date: 8 October 2024

Published in: Japan Journal of Industrial and Applied Mathematics (Search for Journal in Brave)

zbMATH Keywords

global optimizationorder statisticsmixed-integer programmingdata-driven computingreliability with unknown distribution

Mathematics Subject Classification ID

Order statistics; empirical distribution functions (62G30) Mixed integer programming (90C11) Polyhedral combinatorics, branch-and-bound, branch-and-cut (90C57) Reliability, availability, maintenance, inspection in operations research (90B25)

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