4 papers
Canonical dual solutions to nonconvex radial basis neural network optimization problem
Vittorio Latorre, David Yang Gao
Radial Basis Functions Neural Networks (RBFNNs) are tools widely used in regression problems. One of their principal drawbacks is that the formulation corresponding to the training…
Complete solutions to nonconvex fractional programming problems
David Yang Gao, Ning Ruan
This paper presents a canonical dual approach to the problem of minimizing the sum of a quadratic function and the ratio of nonconvex function and quadratic functions, which is a t…
Canonical Solutions to Nonconvex Minimization Problems over Lorentz Cone
Ning Ruan, David Yang Gao
This paper presents a canonical dual approach for solving nonconvex quadratic minimization problem. By using the canonical duality theory, nonconvex primal minimization problems ov…
On the minimal distance between two surfaces
Daniel Morales-Silva, David Gao
This article revisits previous results presented in Optimization which were challenged later by Voisei and Zalinescu (V-Z) in the same journal. We aim to use the points of view of…