The existence of a saddle point in nonconvex constrained optimization probl
ems is considered in this paper. We show that, under some mild conditions,
the existence of a saddle point can be ensured in an equivalent p-th power
formulation for a general class of nonconvex constrained optimization probl
ems. This result expands considerably the class of optimization problems wh
ere a saddle point exists and thus enlarges the family of nonconvex problem
s that can be solved by dual-search methods.