A new trust region method with adaptive radius for unconstrained optimization
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Publication:2885488
DOI10.1080/10556788.2010.526607zbMath1245.65064OpenAlexW1990636516MaRDI QIDQ2885488
Publication date: 23 May 2012
Published in: Optimization Methods and Software (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/10556788.2010.526607
unconstrained optimizationglobal convergencenumerical resultssuperlinear convergencetrust region methodadaptive technique
Numerical mathematical programming methods (65K05) Nonlinear programming (90C30) Interior-point methods (90C51)
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Cites Work
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- The Conjugate Gradient Method and Trust Regions in Large Scale Optimization
- On the global convergence of trust region algorithms for unconstrained minimization
- A Family of Trust-Region-Based Algorithms for Unconstrained Minimization with Strong Global Convergence Properties
- Global Convergence of a Cass of Quasi-Newton Methods on Convex Problems
- Testing Unconstrained Optimization Software
- Numerical Optimization
- Automatic Determination of an Initial Trust Region in Nonlinear Programming
- A globally convergent method of moving asymptotes with trust region technique
- Trust Region Methods
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