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Implementing the PATRICIA data structure for compression algorithms with finite size dictionaries

机译:为字典使用有限大小的字典实现PATRICIA数据结构

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On the basis of the PATRICIA suffix tree, the author presents a simple way to implement a data structure for searching and updating the finite size dictionary in compression algorithms. For updating, each time a new entry is inserted into the tree, the internal node keeps the latest position rather than its old one. As in the normal PATRICIA tree, all the external nodes are put into a buffer, which shifts circularly. After the leaf nodes are exhausted, the oldest leaf node is deleted and put into the tree to represent new entries, and its old position is kept with a pointer. In this way, the updating procedure for all the internal nodes can be bypassed. Therefore, whenever the finite size dictionary is full, the spaces below the points of old positions can be replaced by new input data.
机译:在Patricia后缀树的基础上,作者呈现了一种实现数据结构的简单方法,以便在压缩算法中搜索和更新有限大小字典。有关更新,每次将新条目插入树中时,内部节点会保留最新位置而不是其旧位置。与普通Patricia树一样,所有外部节点都放入缓冲器中,圆形地移位。叶节点耗尽后,删除最旧的叶节点并放入树中以表示新条目,并且其旧位置保持指针。以这种方式,可以绕过所有内部节点的更新过程。因此,每当有限尺寸的字典已满时,低于旧位置点的空间可以通过新的输入数据替换。

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