COMBINATION ADAPTIVE TRUST REGION METHOD BY NON-MONOTONE STRATEGY FOR UNCONSTRAINED NONLINEAR PROGRAMMING
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Publication:3103654
DOI10.1142/S0217595911003454zbMath1228.90114MaRDI QIDQ3103654
Masoud Ahookhosh, Keyvan Amini
Publication date: 8 December 2011
Published in: Asia-Pacific Journal of Operational Research (Search for Journal in Brave)
unconstrained optimizationglobal convergencequadratic convergencesuperlinear convergencetrust region methodnon-monotone techniquesecond necessary condition
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Cites Work
- Unnamed Item
- A truncated Newton method with non-monotone line search for unconstrained optimization
- Nonmonotonic trust region algorithm
- Nonmonotone adaptive trust-region method for unconstrained optimization problems
- A nonmonotone adaptive trust region method and its convergence
- A new trust region method for unconstrained 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
- Testing Unconstrained Optimization Software
- The watchdog technique for forcing convergence in algorithms for constrained optimization
- Automatic Determination of an Initial Trust Region in Nonlinear Programming
- Trust Region Methods
- A Nonmonotone Line Search Technique for Newton’s Method
- An Assessment of Nonmonotone Linesearch Techniques for Unconstrained Optimization
- Benchmarking optimization software with performance profiles.