Practical active-set Euclidian trust-region method with spectral projected gradients for bound-constrained minimization
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Publication:5466712
DOI10.1080/02331930500100270zbMath1079.65070OpenAlexW2003179943MaRDI QIDQ5466712
Ernesto G. Birgin, Andretta Marina, José Mario Martínez
Publication date: 25 August 2005
Published in: Optimization (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/02331930500100270
algorithmnumerical experimentstrust regionsprojected gradientbound-constrained optimizationspectral gradient
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Uses Software
Cites Work
- A new trust region algorithm for bound constrained minimization
- Large-scale active-set box-constrained optimization method with spectral projected gradients
- A limited-memory multipoint symmetric secant method for bound constrained optimization
- A trust-region strategy for minimization on arbitrary domains
- A New Matrix-Free Algorithm for the Large-Scale Trust-Region Subproblem
- A Globally Convergent Augmented Lagrangian Algorithm for Optimization with General Constraints and Simple Bounds
- Computing a Trust Region Step
- Computing Optimal Locally Constrained Steps
- Newton’s Method with a Model Trust Region Modification
- On the Maximization of a Concave Quadratic Function with Box Constraints
- CUTE
- Inexact spectral projected gradient methods on convex sets
- Nonmonotone Spectral Projected Gradient Methods on Convex Sets
- A Class of Indefinite Dogleg Path Methods for Unconstrained Minimization
- An Interior Trust Region Approach for Nonlinear Minimization Subject to Bounds
- Algorithm 813
- Benchmarking optimization software with performance profiles.
