上证综合指数是股票市场的一个重要指标，我们采用样条函数，将带光滑参数的最小二乘法应用于拟合该指标的历年数据。
Shanghai Composite Index is an important index for Chinese stock market, and we apply the Least Squares Method with roughness penalty to smooth its historical data, using spline functions.
本文构造了一种混合样条函数，它是用一次多项式函数及指数函数的结合来表示的。
In this paper we describe the construct ion of a new type of blend spline and study their interpolation formulas and estimation of error.
目前常见的权函数有：高斯型、指数型、样条型以及径向基函数等。
The common weight functions are: Gaussian, exponential, spline, and compactly supported radial basis function (CSRBF) and so on.
目前常见的权函数有：高斯型、指数型、样条型以及径向基函数等。
The common weight functions are: Gaussian, exponential, spline, and compactly supported radial basis function (CSRBF) and so on.
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