In this paper, we present a decomposition method to solve minimization problem of convex function with box constraints. In the method, the feasible regionis decomposed into a series of simplice and iterating the optim...
We establish a quasi-Newton algorithm for solving a class of variational inequality problems which subproblems are linear equations. By presenting a suitable line search, the algorithm is well-defined. And under certa...
in this paper, we present a successive approximation method for bound constrained optimization problems based on its equivalent nonsmooth equations. Under suitable conditions, we get the global convergence of the algo...
In this paper, we present a barrier function algorithm for bound constrainted minimization. Under milder conditions, we prove the convergence of the algorithm. Inaddition, we also carry out some numerical experiments ...
In this paper, we present a trust region algorithm for bound constrained minimization. Under milder conditions, we prove the global convergence of the main algorithm. It is also proved that the correct active set can ...