用数值积分来计算长周期和长期摄动，而用经典分析解的表达式来计算短周期摄动，这是很有效的。
It is efficient to compute long-period and secular perturbations by numerical integration, but the classical analytic solution may be used to calculate the short-period perturbations.
本文将经典的模糊c -均值聚类算法和模糊测度和模糊积分结合起来，并将这两种算法应用于医学病理图象的分割。
In this article we combine the fuzzy C-means algorithm with fuzzy measures and fuzzy integrals and apply the two algorithms to the medicinal pathological image segmentation.
同时为便于积分，在经典的高应变率材料动态本构关系中，使应变强化项与应变率项相互解耦，并引入自然应变形式。
In addition, to be integrable, the classical dynamic institution for high-strain-rate materials is decoupled and natural strain is introduced.
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