A general cone decomposition theory based on efficiency
Mathematical Programming: Series A and B
HPOPT '96 Proceedings of the Stieltjes workshop on High performance optimization techniques
The Power-Compositions Determinant and Its Application to Global Optimization
SIAM Journal on Matrix Analysis and Applications
Introduction to Global Optimization (Nonconvex Optimization and Its Applications)
Introduction to Global Optimization (Nonconvex Optimization and Its Applications)
A branch and reduce approach for solving a class of low rank d.c. programs
Journal of Computational and Applied Mathematics
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There are infinitely many ways of representing a d.c. function as a difference of convex functions. In this paper we analyze how the computational efficiency of a d.c.optimization algorithm depends on the representation we choose for the objective function, and we address the problem of characterizing and obtaining a computationally optimal representation. We introduce some theoretical concepts which are necessary for this analysis and report some numerical experiments.