The basic idea of these methods is to approximate the optimization problem by a sequence of quadratic minimization problems subject to some trust region.
该类算法的基本思想是通过求解一系列二次函数在信赖域中的极小值点逼近最优化问题的解。
Under new control conditions, we prove convergence of the quadratic minimization problem, which improves the recent results by Xu about quadratic optimization.
在新的控制条件下，证明了二次型极小化问题的迭代算法的有效性，所得结果改进了徐洪坤关于二次型优化的最新结果。
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