The paper employs alternative Lagrange multiplier method to enforce the essential boundary condition, and the penalty function is employed again in order to improve the accuracy.
本文采用替换式拉格朗日乘子法施加本质边界条件，为提高精度，对修正泛函使用罚函数法再次施加本质边界条件。
I particularly points out that this descending dimension Lagrange multiplier algorithm improves penalty function algorithm and advance accuracy to a certain degree.
特别要指出的是，该算法改进了罚函数法，并在一定程度上比罚函数法更精确。
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