中文摘要：

提出了一种分治求解策略，即在仿真模型规模分解基础上建立耦合块依赖图和序列表，对各耦合块建立相应的求解块，通过遍历耦合块序列表并调用相应求解块，可获得仿真模型的数值解．考虑到参数变动下的重复仿真，对耦合块依赖图进行分层处理，生成对应于变动参数集的变动子图；通过施加虚根节点将变动子图转化成最小求解树结构．因此，对变动参数集的不同参数值进行重复仿真只需层次遍历最小求解树，再调用相应求解块即可．该方法可大幅度提高复杂模型的多次仿真求解效率，特别适用于后续的模型实验和参数优化．

英文摘要：

A kind of subdivision solving strategy was presented. Based on the scale decomposing of the simulation model, a coupling blocks dependency graph and sequential list are built. The numerical solutions of the simulation model were found through traversing the coupling sequential list and simultaneously calling the corresponding solving blocks. Considering the efficiency of repetitious simulation after parameters varying, the altering sub-graph of the altering parameters set is built after hierarchically processing the coupling blocks graph. And the sub-graph is converted into a minimum solving tree by adding a virtual root node. In this way, carrying out repetitious simulation with different parameters values only need traverse widely the minimum solving tree of the altering parameters set and simultaneously calling corresponding solving blocks. This method of the paper could greatly improve the efficiency of repetitious simulation of complex model, so it is especially applicable for the next suc- cessive work such as model experiment and parameter optimization design.