Global minimization algorithms for concave quadratic programming problems
Author:
Publisher
Informa UK Limited
Subject
Applied Mathematics,Management Science and Operations Research,Control and Optimization
Link
http://www.tandfonline.com/doi/pdf/10.1080/02331930500342534
Reference17 articles.
1. A Reflective Newton Method for Minimizing a Quadratic Function Subject to Bounds on Some of the Variables
2. The generalized simplex method for minimizing a linear form under linear inequality restraints
3. Necessary and Sufficient Global Optimality Conditions for Convex Maximization Revisited
4. An algorithm for maximizing a convex function over a simple set
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2. A successive linear approximation algorithm for the global minimization of a concave quadratic program;Computational and Applied Mathematics;2020-09-12
3. Solving polyhedral d.c. optimization problems via concave minimization;Journal of Global Optimization;2020-05-29
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