【Abstract】 This paper presents an augmented Lagrangian algorithm for nonlinear opti- mization of equality and bounded constraints. The method includes internal it- erations and outer iterations, which uses a trust region interior-point method in internal iteration. Under some conditions, the paper proves finite termination of internal iteration and analyses the local convergence of accelerating internal mini- mizer iterations. It also proves the global convergence of main algorithm when the approximate solution of internal minimizer is satisfied some conditions.更多还原