The filled function method is an approach for solving unconstrained global minimization problem.
填充函数法是一种解无约束全局极小化问题的方法。
The properties of this filled function and a global minimization method based on the filled function are analyzed.
给出一类求解总体极值问题的填充函数，分析了该填充函数的特性与基于填充函数的总体极小化方法。
Because the proposed angular feature is invariant to rotation, translation and scale transformation, the registration result will converge to global minimization rather than local one.
由于本文提出的角特征不随旋转、平移和尺度的变化而变化，所以配准最终收敛到全局最小值，而不是局部最小值。
New optimality conditions of the integral global minimization are applied to characterize global minimum in functional space as a sequence of approximating solutions in finite-dimensional Spaces.
本文用有限维逼近无限维的方法来讨论函数空间中的总体最优化问题。
New optimality conditions of the integral global minimization are applied to characterize global minimum in functional space as a sequence of approximating solutions in finite-dimensional Spaces.
本文用有限维逼近无限维的方法来讨论函数空间中的总体最优化问题。
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