中文摘要：

我们在解决高原网孔问题分析三通常使用的精力功能，也就是说 Dirichlet，区域，和分离吝啬的弯曲(直接数字控制) 。他们都与其它相比拥有唯一的优点，但是他们的缺点个别地限制他们的用法。我们的算法一起联合三步充分利用他们的特征。起初， Dirichlet 精力与更好的拓扑学为更快的近似被优化。然后，区域精力被用来接近抑制领域。最后， DMC 精力订婚完成更好收敛的步。结果证明我们的方法能在一个相当吵闹的起始的网孔下面工作，它与最后的结果甚至拓扑地不同。

英文摘要：

We analyze three commonly used energy functions in solving Plateau-Mesh Prob- lem, that is, Dirichlet, area, and the discrete mean curvature（DMC）. They all possess unique advantages compared to others, but their drawbacks restrict their usages individually. Our algo- rithm combines the three steps together to make full use of their features. At first the Dirichlet energy is optimized for faster approximation with better topology. Then the area energy is used to come close to the constrained domain. Finally the DMC energy is engaged to achieve a better converging step. Results show that our method can work under a rather noisy initial mesh, which is even topologically different from the final result.