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 |
|---|---|
| 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