Wenxue li put forward a sufficient condition of conditional extreme value with Lagrange function but his proof is wrong.
摘要李文学用拉格朗日函数提出求条件极值的充分条件，但他的证明却是错误的。
Aim To study the rules governing pressure distribution of traveling charge under the condition of Lagrange hypothesis.
目的研究拉格朗日假设条件下随行装药的膛内压力分布规律。
Then its generalized variational principle is established on the basis of Lagrange multiplier method by absorbing the first kind of boundary condition.
然后利用拉格朗日乘子法，吸收第一类边界条件，从而得出其广义变分原理；
With the Lagrange multiplier method, the minimum distance of the center of a circle and a quadric surface was provided and the tangency condition of curve and surface was given.
利用拉格朗日乘子法求解二次曲线和二次曲面之间的最小距离，给出了曲线与曲面相切的条件。
Finally, the condition and result of integral mean-value theorem are also improved combined with the Lagrange mean value theorem of differentials.
最后，结合拉格朗日微分中值定理改进了积分中值定理的条件和结论。
Under the condition of a discrete logarithm problem, S2 is decrypted by the OPE (Oblivious Polynomial Evaluation) protocol and Lagrange Interpolation Polynomial (scheme 2).
在离散对数困难问题的条件下，利用不经意多项式估值协议和拉格朗日插值多项式来解密s2(方案2)。
Wenxue Li put forward a sufficient condition of conditional extreme value with Lagrange function, but his proof is wrong.
李文学用拉格朗日函数提出求条件极值的充分条件，但他的证明却是错误的。
This paper treated discontinuous medium boundary condition by using visual principle and through a more convenient method of Lagrange multipliers method.
本文利用可视原则对不连续介质边界条件等效处理，通过一种更简便的拉格朗日法施加不连续边界以及本质边界条件。
Methods When the total absorbed energy was defined, with the proposed TCP model and the method of Lagrange multiplier, the condition which can cause the optimum TCP will be derived.
方法在假设肿瘤部位治疗能量一定的情况下，根据提出的TCP计算模型，用拉格朗日乘子方法推导出任意肿瘤生物学参数取值分布时获得最大TCP的条件。
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。
In this paper we are concerned with the non-overlapping domain decomposition method with Lagrange multipiers based on a new pointwise matching condition.
在本文中，我们考虑一种基于“逐点匹配”的非重叠区域分解方法。
In this paper we are concerned with the non-overlapping domain decomposition method with Lagrange multipiers based on a new pointwise matching condition.
在本文中，我们考虑一种基于“逐点匹配”的非重叠区域分解方法。
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