8.3 -

分形理论及算法
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------=_NextPart_000_00E0_01C32AEF.B575EA60
Content-Type: image/gif
Content-Transfer-Encoding: base64
Content-Location: http://www.phil.pku.edu.cn/personal/huajie/fractalart/html/p804.gif
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