Nonmonotonic trust region algorithm
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Publication:1321301
DOI10.1007/BF00939608zbMath0797.90088OpenAlexW2084741900MaRDI QIDQ1321301
Nai-Yang Deng, Yi Xiao, Fangjun Zhou
Publication date: 25 October 1994
Published in: Journal of Optimization Theory and Applications (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/bf00939608
Nonlinear programming (90C30) Computational methods for problems pertaining to operations research and mathematical programming (90-08)
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Cites Work
- A truncated Newton method with non-monotone line search for unconstrained optimization
- Two new unconstrained optimization algorithms which use function and gradient values
- The Conjugate Gradient Method and Trust Regions in Large Scale Optimization
- A Family of Trust-Region-Based Algorithms for Unconstrained Minimization with Strong Global Convergence Properties
- The watchdog technique for forcing convergence in algorithms for constrained optimization
- Newton’s Method with a Model Trust Region Modification
- A Nonmonotone Line Search Technique for Newton’s Method
