A convergent decomposition method for box-constrained optimization problems
From MaRDI portal
Publication:839804
DOI10.1007/s11590-009-0119-8zbMath1170.90485OpenAlexW2008698372MaRDI QIDQ839804
Andrea Cassioli, Marco Sciandrone
Publication date: 3 September 2009
Published in: Optimization Letters (Search for Journal in Brave)
Full work available at URL: http://hdl.handle.net/2158/388516
Related Items (3)
The 2-coordinate descent method for solving double-sided simplex constrained minimization problems ⋮ A feasible decomposition method for constrained equations and its application to complementarity problems ⋮ On the convergence of a Jacobi-type algorithm for singly linearly-constrained problems subject to simple bounds
Uses Software
Cites Work
- An algorithm for a singly constrained class of quadratic programs subject upper and lower bounds
- A coordinate gradient descent method for nonsmooth separable minimization
- Decomposition algorithm model for singly linearly-constrained problems subject to lower and Upper bounds
- Algorithms for bound constrained quadratic programming problems
- On the convergence of the coordinate descent method for convex differentiable minimization
- On the convergence of the block nonlinear Gauss-Seidel method under convex constraints
- Downlink beamforming for DS-CDMA mobile radio with multimedia services
- Newton's Method for Large Bound-Constrained Optimization Problems
- A Truncated Newton Algorithm for Large Scale Box Constrained Optimization
- A simple decomposition method for support vector machines
- Unnamed Item
- Unnamed Item
- Unnamed Item
This page was built for publication: A convergent decomposition method for box-constrained optimization problems