Convergence of a projected gradient method with trust region for nonlinear constrained optimization†
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Publication:4327888
DOI10.1080/02331939208843759zbMath0814.65061OpenAlexW2036449596MaRDI QIDQ4327888
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Publication date: 18 June 1995
Published in: Optimization (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/02331939208843759
global convergencesuperlinear convergencetrust regionnonlinear constrained optimizationprojected gradient algorithm
Cites Work
- Projected quasi-Newton algorithm with trust region for constrained optimization
- Iterative Methods for Large Convex Quadratic Programs: A Survey
- Computing a Trust Region Step
- Global Convergence of a a of Trust-Region Methods for Nonconvex Minimization in Hilbert Space
- On the global convergence of trust region algorithms for unconstrained minimization
- A Trust Region Algorithm for Equality Constrained Minimization: Convergence Properties and Implementation
- Projected Hessian Updating Algorithms for Nonlinearly Constrained Optimization
- Global Convergence of a Class of Trust Region Algorithms for Optimization with Simple Bounds
- A QP-Free, Globally Convergent, Locally Superlinearly Convergent Algorithm for Inequality Constrained Optimization
- On the Local Convergence of Quasi-Newton Methods for Constrained Optimization
- Projected Newton Methods for Optimization Problems with Simple Constraints
- A trust region typed dogleg method for nonlinear optimization*
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