In this paper, we present a convergent result of the iterative solution methods for a class of generalized saddle point problem, which lowers the condition of the recent results.
给出一类广义鞍点问题迭代解法的收敛性分析结果，降低了目前已有相关结论的适用条件，因而使得相关结果具有更广泛的应用性。
This paper studies the numerical problem of the saddle point strategy for linear quadratic differential game in generalized state systems.
研究广义状态系统中线性二次型微分对策鞍点策略的数值求解问题。
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