An improved univariate global optimization algorithm with improved linear lower bounding functions

DOI10.1007/BF02404000zbMath0851.90119OpenAlexW2058369923MaRDI QIDQ1918985

Xiaojun Wang, Tsu-Shuan Chang

Publication date: 25 November 1996

Published in: Journal of Global Optimization (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/bf02404000

zbMATH Keywords

linear lower bounding functionsLLBF methodsunivariate global optimization

Mathematics Subject Classification ID

Nonlinear programming (90C30)

Related Items (4)

Univariate global optimization with multiextremal non-differentiable constraints without penalty functions ⋮ On Hölder global optimization method using piecewise affine bounding functions ⋮ Convex quadratic underestimation and Branch and Bound for univariate global optimization with one nonconvex constraint ⋮ A framework for globally convergent algorithms using gradient bounding functions

Cites Work

• Unnamed Item
• Unnamed Item
• Computability of global solutions to factorable nonconvex programs: Part I — Convex underestimating problems
• Convex Analysis

This page was built for publication: An improved univariate global optimization algorithm with improved linear lower bounding functions