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1·A polynomial approximation algorithm for the problem is given.

同时，还给出了该问题的多项式时间近似算法。

2·The general methods are polynomial approximation and Chebyshev approximation.

常见的方法有多项式逼近，切比雪夫多项式逼近。

3·The polynomial approximation method is also employed to obtain simple formulas for frequency and amplitude correction.

本文利用多项式逼近方法获得了频率和幅值修正的计算公式。

4·Understand the degree of polynomial approximation and the effective range with the polynomial fitting order of any changes.

了解多项式的逼近程度和有效拟合区间随多项式的阶数有何变化。-1。

5·This result can be combined with subdivision method to obtain a piecewise interval polynomial approximation for a rational surface.

这一结果可以与细分技术相结合，得到有理曲面的分片区间多项式的逼近。

6·Because only two points a straight decisions, and in between the two curves can be used an infinite number of cubic polynomial approximation.

因为，两点只能决定一条直线，而在两点间的曲线可用无限多的三次多项式近似。因此，为使结果具有唯一性。

7·Orthogonal polynomial approximation is proposed to estimate the nonlinear deterministic trend and then the residual is used to test the unit root.

本文研究用正交多项式逼近非线性趋势，然后对残差进行单位根检验的方法。

8·This design dispenses with ROM which mainly limits the converting speed of DDS, but USES SIN function polynomial approximation directly generating digital SIN wave.

利用正弦多项式近似直接产生数字正弦波，而无需限制相幅转化速度的ROM。

9·The trackability limitation of current gradient algorithm is discussed. A new algorithm, named variable parameter gradient estimation algorithm with local polynomial approximation is proposed.

本文分析了梯度辨识算法跟踪时变系统的缺点，提出了一种新的基于局部多项式逼近的变参数梯度估计算法。

10·With the best polynomial approximation as a metric, the rate of approximation of the neural networks with single hidden layer to a continuous function is estimated by using a constructive approach.

以最佳多项式逼近为度量，用构造性方法估计单隐层神经网络逼近连续函数的速度。