In this paper, the author USES fast spline function curved surface interpolation method which is derived by the author to accomplish two dimensional discrete data gridding calculation.
本文采用首次提出的快速样条函数插值方法对二维离散数据进行曲面插值，进而作网格化计算。
Then the meteorological information was interpolated to each hour using the spline interpolation to match up the remote sensing data.
然后，将气象资料用样条插值法在时间上进行插值，得到每小时值，以便与卫星遥感数据在时间上匹配。
Using acoustic equation, the paper conducts spline interpolation for step surface data and results in quadrilateral grid partition coincident with relief surface.
本文利用声波方程，对阶梯状地表数据进行样条插值处理，得到了与起伏地表比较吻合的四边形网格剖分。
Based on experimental data of engine, torque and oil consumption model of engine are established by method of spline interpolation. The optimum economy and power operation line of engine is obtained.
在实验数据基础上，利用三次样条插值构造了发动机转矩和油耗数学模型，确定了最佳经济性与最佳动力性工作线。
Through thrice spline interpolation, we get full period sampling data from fix time sampling data. This method is proved feasible by an experiment.
通过三次样条插值，从定时采样的数据中获得整周期采样的数据，经过实验，证明是可行的。
A necessary and sufficient condition is derived for the existence of monotone and convex interpolation by a cubic spline with an additional knot inserted between each pair of data points.
本文给出用三次样条在两两节点之间引进一个外加节点的条件下，存在凸而单调的插值的充分必要条件。
A necessary and sufficient condition is derived for the existence of monotone and convex interpolation by a cubic spline with an additional knot inserted between each pair of data points.
本文给出用三次样条在两两节点之间引进一个外加节点的条件下，存在凸而单调的插值的充分必要条件。
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