1) augmented Lagrange penalty function
增广Lagrange罚函数
2) Augmented Lagrange function
增广Lagrange函数
1.
This algorithm uses augmented Lagrange function to transform this restraint question into the Non-Constraint Question,retains the merits of conjugate gradient method and the multiplier method,avoids the rigorous requirements of other algorithms for initial point,and needs not to calculate second time derivative.
该算法利用增广Lagrange函数将该约束问题转化为无约束问题,保留了共轭梯度法和乘子法的优点,避免了其他算法中对初始点的苛刻要求,也不需要计算二阶导数。
3) weakly generalized Lagrange Function
弱增广Lagrange函数
4) augmented Lagrange functional
增广Lagrange泛函
5) generalized Lagrangian function
广义Lagrange函数
1.
By using Lagrangian indeterminated multiplier method,the generalized Lagrangian function and generalized Lagrangian function with subsidiary conditions were established.
灵活应用La grange乘子法 ,建立子完整系统的广义Lagrange函数 ,建立了非完整系统的广义Lagrange函数和带有附加条件的广义Lagrange函数 。
6) Merit Function
增广函数
1.
Considering the complementary action between Newton method and Penalty method, we define a merit function to simplify the selection of initial point, so that algorithm have excellent global behavior.
本文应用的牛顿迭代法与罚函数法优缺点互补的特性在[3],[4],[5],[13],[14]等文章中均有应用,在此基础上我们提出一种具体形式的增广函数。
补充资料：增广
1.增加，扩大。 2.指增生。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条