In this paper we present a transformation path algorithm for Unconstrained Signomial Geometric Programming (USGP). The algorithm is proposed from a new point of view based on exploring the characteristics of USGP prob...
The Project Suppoted by the National Natural Science Foundation (40075023).
An analysis on the property of Self-Scaling Rank One Update (SSR1) is given. In view of it, we explore whether the SSR1 update without using exact line search possesses the finite termination property when it is appli...
Supported by NNSF of China and NSF of Jiangsu Province
A Class of Collinear Scaling Algorithms for Unconstrained Optimization. An appealing approach to the solution of nonlinear optimization problems based on conic models of the objective function has been in troduced by ...
The project was supported by the National Natural Science Fundation of China
For satate form linear gram as Fang and sao deined and approach which would find an optimal solution by solving an anconstrained convex dual programming.Thedual was construcied by applying an emropic peturbation and a...