Specifically, a single point anomaly will be marked by a sudden fluctuation in temperature on each side of a data point.
具体讲，一个单点异常将由数据点每一侧温度的突然波动标识出来。
The energy of Grimes Point creates a time anomaly, as do certain other locations on the Earth.
格里姆斯的能量制造了一个时间异常，地球上某些其他的地方也有这样的能量。
The results of the emulation and example show that the interpolation accuracy of these methods are different with distributing of known survey point and change of magnetic anomaly.
仿真与实例计算结果表明，已知点的分布情况及磁异常变化情况不同时，四种逼近方法的插值精度是不同的。
应用推荐