Through the fine grid deviding in building and the mannual potential method, we can easily reflect the complex space inbuilding and the real situation in buildings.
通过建筑物内精细网格的空间划分,以及障碍物的人工势场处理手段,可以很好的将建筑物内复杂的空间情况反映出来,并且可以反映建筑物内的实际情况。
参考来源 - 基于多智能体的建筑物内疏散仿真研究·2,447,543篇论文数据，部分数据来源于NoteExpress
The computation speed of adaptive grid roughening algorithm increases greatly compared with that of the fine grid method.
与采用精细网格算法相比，其计算速度大大提高。
In order to reduce model error, we use non-uniform grid, if the parameter's changing is fast, we use fine grid, else we use coarse grid.
为了降低模型误差，引入非均匀网格，并且自适应的在参数变化快的地方用较细网格，其他地方用较粗网格。
Hence, these local and parallel algorithms only involve one small original problem on coarse mesh and some correction problems on local fine grid.
因此，这种局部和并行算法仅仅涉及一个粗网格上的整体逼近和细网格上的局部校正。
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