An optimal power flow algorithm based on nonlinear complementarity method is proposed.
提出了基于非线性互补方法的最优潮流算法。
This model can be formulated as an equilibrium problem with equilibrium constraints (EPEC) and be solved by a nonlinear complementarity method.
该模型所描述的均衡问题是一个具有均衡约束的均衡问题(EPEC)，可用非线性互补方法求解。
Using complementarity of remote sensing information and ground monitoring information on water quality, a data fusion method based on neural network and evidence theory is proposed.
利用水质遥感监测信息和地面监测信息的互补性，提出一种基于神经网络一证据理论的数据融合处理方法。
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