1) reduced gradient network flow algorithm
既约梯度网流法
2) reduced gradient method
既约梯度法
1.
This paper presents a approximation method for solving minmax nonlinear programming by using of maximum entropy and reduced gradient method, and the convergence of the algorithm is proved.
利用极大熵方法及有关逼近结果,使之与既约梯度法结合,提出了一种求解极小极大非线性规划问题的近似法,并证明了算法的有关收敛性结
3) Generalized reduced gradient method
广义既约梯度法
1.
In this paper, a new generalized reduced gradient method for optimization problems with nonlinear inequality oonstraints is presented with the help of a new pivoting operation.
本文借助一种新的求基转轴运算建立了带非线性不等式约束最优化问题的一个新的广义既约梯度法。
4) amend reduced gradient method
修正既约梯度法
5) reduced gradient
既约梯度
6) enumeration and Wolfe reduced gradient method
完全枚举-既约梯度算法
补充资料:既后
1.以后,其后。
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