Abstract
A new efficient branch and bound method is proposed for solving convex programs with an additional monotonic nonconvex constraint. Computational experiments demonstrated that this method is quite practical for solving rank k reverse convex programs with much higher values of k than previously considered in the literature and can be applied to a wider class of nonconvex problems.
Original language | English |
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Journal | Journal of Global Optimization |
Volume | 18 |
Issue number | 1 |
Publication status | Published - 2000 |
Keywords
- Convex multiplicative constraint
- Monotonic constraint
- Polyblock outer approximation
- Rank k reverse convex programs
Disciplines
- Educational Assessment, Evaluation, and Research