An algorithm for global optimization of Lipschitz continuous functions
From MaRDI portal
Publication:1090241
DOI10.1007/BF00938542zbMath0619.90065MaRDI QIDQ1090241
C. C. Meewella, David Q. Mayne
Publication date: 1988
Published in: Journal of Optimization Theory and Applications (Search for Journal in Brave)
global optimizationnondifferentiable optimizationLipschitz continuous functionssequence of lower bounds
Numerical mathematical programming methods (65K05) Nonlinear programming (90C30) Numerical methods based on nonlinear programming (49M37)
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Cites Work
- Unnamed Item
- Unnamed Item
- Outer approximation algorithm for nondifferentiable optimization problems
- Widely Convergent Method for Finding Multiple Solutions of Simultaneous Nonlinear Equations
- Inclusion functions and global optimization
- An algorithm for finding the absolute extremum of a function
- On Descent from Local Minima
- A Sequential Method Seeking the Global Maximum of a Function
- Numerical methods for finding global extrema (Case of a non-uniform mesh)