In this paper, an optimal mathematical model solving method, the successive approximation method, of the nature of nonlinear integral programming problem is suggested.
本文提出一种求解优化数学模型，属于非线性整数规划问题的方法——逐次近似法。
In this paper, a new model reduction method is developed from the viewpoint of optimal approximation to the energy.
本文从能量最优逼近的角度论述了一种新的模型降阶方法。
In this paper, the mathematical model of flatness error is established. The theory of optimal approximation is used to analyze the theoretical problem of flatness error.
应用最佳一致逼近理论，从最小条件出发建立了评定平面度误差的数学模型，对评定平面度误差的理论问题进行了分析研究。
For no-waited model, we show it is strongly NP-hard, and present a pseudo-polynomial time optimal algorithm and an approximation algorithm with worst-case ratio 5/3.
对于不可等待的情况证明了它是强NP-难的，并给出了动态规划算法和一个最坏情况界为5/3的近似算法。
For no-waited model, we show it is strongly NP-hard, and present a pseudo-polynomial time optimal algorithm and an approximation algorithm with worst-case ratio 5/3.
对于不可等待的情况证明了它是强NP-难的，并给出了动态规划算法和一个最坏情况界为5/3的近似算法。
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