A non-monotone trust region algorithm for unconstrained optimization with dynamic reference iteration updates using filter
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Publication:2903152
DOI10.1080/02331934.2012.668544zbMath1246.90141OpenAlexW1989935461MaRDI QIDQ2903152
Masoud Fatemi, Nezam Mahdavi-Amiri
Publication date: 23 August 2012
Published in: Optimization (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/02331934.2012.668544
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Uses Software
Cites Work
- A truncated Newton method with non-monotone line search for unconstrained optimization
- Nonmonotone trust region methods with curvilinear path in unconstrained optimization
- Nonmonotonic trust region algorithm
- A class of nonmonotone stabilization trust region methods
- A class on nonmonotone stabilization methods in unconstrained optimization
- Avoiding the Maratos Effect by Means of a Nonmonotone Line Search I. General Constrained Problems
- The watchdog technique for forcing convergence in algorithms for constrained optimization
- Avoiding the Maratos Effect by Means of a Nonmonotone Line Search. II. Inequality Constrained Problems—Feasible Iterates
- Trust Region Methods
- A Multidimensional Filter Algorithm for Nonlinear Equations and Nonlinear Least-Squares
- Solving the Trust-Region Subproblem using the Lanczos Method
- A Nonmonotone Line Search Technique for Newton’s Method
- CUTEr and SifDec
- A Filter-Trust-Region Method for Unconstrained Optimization
- Benchmarking optimization software with performance profiles.
- Nonlinear programming without a penalty function.
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