Journal of Optimization Theory and Applications
On Finitely Terminating Branch-and-Bound Algorithms for Some Global Optimization Problems
SIAM Journal on Optimization
A Finite Algorithm for Global Minimization ofSeparable Concave Programs
Journal of Global Optimization
Portfolio optimization under D.C. transaction costs and minimal transaction unit constraints
Journal of Global Optimization
Global Optimization of Multiplicative Programs
Journal of Global Optimization
Decomposition Methods for Solving Nonconvex Quadratic Programs via Branch and Bound*
Journal of Global Optimization
Hi-index | 0.00 |
Various classes of d.c. programs have been studied in the recent literature due to their importance in applicative problems. In this paper we consider a branch and bound approach for solving a class of d.c. problems. Both stack policies and partitioning rules are analyzed, pointing out their performance effectiveness by means of the results of a computational experience.