We pointed out the main distinctions between strong singularity problems in topology optimization and those which only have weak singularities.

详细论述了此类拓扑优化问题与仅具有弱奇异性的拓扑优化问题之间的本质区别。

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So the adaptive rational function interpolation method can process a large number of sampling data for obtaining a rational interpolation without suffering singularity problems.

因此，本文提出的自适应有理函数插值方法可以对大量采样数据进行插值运算而不会遇到奇异性问题。

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So the adaptive rational function interpolation method can process a large number of sampling data for obtaining a rational interpolation without suffering singularity problems.

因此，本文提出的自适应有理函数插值方法可以对大量采样数据进行插值运算而不会遇到奇异性问题。

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