A trust region method with a conic model for nonlinearly constrained optimization
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Publication:854560
DOI10.1007/s11766-003-0003-8zbMath1160.90665OpenAlexW2119666960MaRDI QIDQ854560
Publication date: 5 December 2006
Published in: Applied Mathematics. Series B (English Edition) (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s11766-003-0003-8
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Cites Work
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- Projected quasi-Newton algorithm with trust region for constrained optimization
- A trust region algorithm for equality constrained optimization
- A globally convergent method for nonlinear programming
- Interpolation by conic model for unconstrained optimization
- Deriving collinear scaling algorithms as extensions of quasi-Newton methods and the local convergence of DFP- and BFGS-related collinear scaling algorithms
- Global Convergence of a a of Trust-Region Methods for Nonconvex Minimization in Hilbert Space
- A Trust Region Algorithm for Equality Constrained Minimization: Convergence Properties and Implementation
- A Trust Region Algorithm for Nonlinearly Constrained Optimization
- Conic Approximations and Collinear Scalings for Optimizers
- The Q-Superlinear Convergence of a Collinear Scaling Algorithm for Unconstrained Optimization
- Local andQ-superlinear convergence of a class of collinear scaling algorithms that extends quasi-newton methods with broyden's bounded-⊘ class of updates† ‡
- A Robust Trust-Region Algorithm with a Nonmonotonic Penalty Parameter Scheme for Constrained Optimization
- A conic trust-region method for nonlinearly constrained optimization
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