A new data-mining algorithm based on dynamic programming and dynamic time warping function was proposed and applied in technical analysis of stock market.
提出了一种基于动态规划和动态时间弯折函数的数据挖掘算法，并应用该算法对股市进行技术分析。
According to existing motions, the algorithm adopts a warping function represented by multi -level B-spline function to generate detailed motion level by level in order to get the goal motion.
该算法根据已有的运动，采用多级B -样条表示的规整函数产生不断细化的运动，从而得到最终的目标运动。
A linear function is used to express the warping displacements along the cross section of the thin-walled member.
本方法采用线性函数作为横截面翘曲位移的插值函数，适用于任意横截面形状和任意边界条件的薄壁杆件。
A linear function is used to express the warping displacements along the cross section of the thin-walled member.
本方法采用线性函数作为横截面翘曲位移的插值函数，适用于任意横截面形状和任意边界条件的薄壁杆件。
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