A new nonlinear optimization method called variable metric gradient projection method is presented. It is a combination of mathematical programming with optimality criterion.
本文将数学规划法与优化准则法有机地结合起来，导出了一种新的优化方法——变尺度梯度投影法。
The conclusion is that, compared with the parallel-searching and the linear combination methods, the sectional optimization method is more flexible and better in convergence.
通过与并行寻优、线性组合方法的比较，得出了分级优化法具有灵活性及收敛性好等特点的结论。
Data in the dimension families are calculated by the combination method of optimization.
尺寸族中的数据是按照复合形优化方法得到的。
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