Approximate solution of the trust region problem by minimization over two-dimensional subspaces
Mathematical Programming: Series A and B
A Class of Indefinite Dogleg Path Methods for Unconstrained Minimization
SIAM Journal on Optimization
Accelerating method of global optimization for signomial geometric programming
Journal of Computational and Applied Mathematics
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A new type of condensation curvilinear path algorithm is proposed for unconstrained generalized geometric programming (GGP). First, a new type of condensation problem is presented based on the special structure of GGP. Then a particular curvilinear path for the problem is constructed, along which we get the approximate solution of the problem within a trust region. It is proved that the method is globally convergent and that the convergence rate is quadratic. Numerical experiments are given to show the effectiveness and feasibility of the algorithm.