A subgradient projection algorithm
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Publication:1164968
DOI10.1016/0021-9045(82)90029-6zbMath0486.65042OpenAlexW4213266764MaRDI QIDQ1164968
Publication date: 1982
Published in: Journal of Approximation Theory (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/0021-9045(82)90029-6
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A least distance algorithm for a smooth strictly convex norm ⋮ Extensions of subgradient projection algorithms ⋮ \(\epsilon\)-subgradient projection algorithm ⋮ An algorithm for non-negative norm minimal solutions ⋮ An active set method for solving linearly constrained nonsmooth optimization problems ⋮ An algorithm for constrained convex optimization ⋮ A limited memory BFGS subspace algorithm for bound constrained nonsmooth problems ⋮ Implementation of a subgradient projection algorithm ⋮ Subgradient projection algorithm. II ⋮ Implementation of a subgradient projection algorithm II
Cites Work
- Least-squares algorithms for finding solutions of overdetermined systems of linear equations which minimize error in a smooth strictly convex norm
- Least squares algorithms for finding solutions of overdetermined linear equations which minimize error in an abstract norm
- The Gradient Projection Method for Nonlinear Programming. Part I. Linear Constraints
- Implementation of a subgradient projection algorithm
- A Descent Numerical Method for Optimization Problems with Nondifferentiable Cost Functionals
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