算法使用了局部图的思想，使每次迭代更新尽量少的节点来减少代价。实验证明算法具有良好的效率、近似度和可伸缩性。

Based on the concept of Local map, the algorithm tries to update as few nodes as possible to reduce cost.

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这表示，她不需要在每次迭代后更新引用(或拒绝更改)。

This means that she won't have to update references (or reject changes) with every iteration.

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通过每次迭代末尾中不断的迭代示范和反映将会更新涉众目标的满足因素。

Update stakeholder goal satisfiers by frequent iteration demonstrations and reflections at the end of each iteration.

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