mirror of
https://github.com/heqin-zhu/algorithm.git
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* [EIGHT.py](./EIGHT.py)
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* [EIGHT.py](./EIGHT.py)
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* [manacher.py](./manacher.py)
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* [manacher.py](./manacher.py)
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* [markov.py](./markov.py)
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* [markov.py](./markov.py)
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* [README.md](./README.md)
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* [sort](./sort)
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* [sort](./sort)
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* [binaryTree.py](./sort/binaryTree.py)
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* [binaryTree.py](./sort/binaryTree.py)
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* [heapSort.py](./sort/heapSort.py)
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* [heapSort.py](./sort/heapSort.py)
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@ -15,5 +14,5 @@
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* [radixSort.py](./sort/radixSort.py)
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* [radixSort.py](./sort/radixSort.py)
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* [select.py](./sort/select.py)
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* [select.py](./sort/select.py)
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* [shellSort.py](./sort/shellSort.py)
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* [shellSort.py](./sort/shellSort.py)
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* [steganography_to_do.py](./steganography_to_do.py)
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* [sunday.py](./sunday.py)
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* [sunday.py](./sunday.py)
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* [README.md](./README.md)
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# 数据结构的实现
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# 数据结构的实现
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# 索引
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# 索引
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* [.](.)
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* [.](.)
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* [allOone](./allOone)
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* [allOone](./allOone)
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* [allOone.py](./allOone/allOone.py)
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* [allOone.py](./allOone/allOone.py)
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* [test.py](./allOone/test.py)
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* [test.py](./allOone/test.py)
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* [binaryHeap.py](./binaryHeap.py)
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* [binaryHeap.py](./binaryHeap.py)
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* [binaryIndexedTree.cc](./binaryIndexedTree.cc)
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* [binaryIndexedTree.cc](./binaryIndexedTree.cc)
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* [binaryTree.py](./binaryTree.py)
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* [binaryTree.py](./binaryTree.py)
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* [hashTable.py](./hashTable.py)
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* [hashTable.py](./hashTable.py)
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* [huffman.cc](./huffman.cc)
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* [huffman.cc](./huffman.cc)
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* [leftHeap.py](./leftHeap.py)
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* [leftHeap.py](./leftHeap.py)
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* [loserTree.py](./loserTree.py)
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* [loserTree.py](./loserTree.py)
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* [map](./map)
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* [map](./map)
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* [map.cc](./map/map.cc)
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* [map.cc](./map/map.cc)
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* [map.exe](./map/map.exe)
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* [map.exe](./map/map.exe)
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* [README.md](./README.md)
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* [segTree.cc](./segTree.cc)
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* [segTree.cc](./segTree.cc)
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* [splayTree.py](./splayTree.py)
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* [splayTree.py](./splayTree.py)
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* [stack](./stack)
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* [stack](./stack)
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* [stack.cc](./stack/stack.cc)
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* [stack.cc](./stack/stack.cc)
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* [stack.exe](./stack/stack.exe)
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* [stack.exe](./stack/stack.exe)
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* [stack.o](./stack/stack.o)
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* [stack.o](./stack/stack.o)
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* [trie.py](./trie.py)
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* [trie.py](./trie.py)
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* [winnerTree.py](./winnerTree.py)
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* [winnerTree.py](./winnerTree.py)
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* [README.md](./README.md)
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# 索引
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# 索引
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* [.](.)
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* [.](.)
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* [alg-general.md](./alg-general.md)
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* [alg-general.md](./alg-general.md)
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* [hashTable.md](./hashTable.md)
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* [hashTable.md](./hashTable.md)
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* [README.md](./README.md)
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* [sort.md](./sort.md)
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* [sort.md](./sort.md)
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* [tree.md](./tree.md)
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* [src](./src)
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* [README.md](./README.md)
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* [coin1.jpg](./src/coin1.jpg)
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* [coin2.jpg](./src/coin2.jpg)
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* [coin3.jpg](./src/coin3.jpg)
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* [coin4.jpg](./src/coin4.jpg)
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* [recursive-tree.jpg](./src/recursive-tree.jpg)
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* [symbol.jpg](./src/symbol.jpg)
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* [test.jpg](./src/test.jpg)
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* [tree.md](./tree.md)
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@ -28,7 +28,7 @@ description:
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<!-- /TOC -->
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<!-- /TOC -->
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**[github地址](https://github.com/mbinary/algorithm-and-data-struture.git)**
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**[github地址](https://github.com/mbinary/algorithm-and-data-structure.git)**
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哈希表 (hash table) , 可以实现 $O(1)$ 的 read, write, update
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哈希表 (hash table) , 可以实现 $O(1)$ 的 read, write, update
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相对应 python 中的 dict, c语言中的 map
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相对应 python 中的 dict, c语言中的 map
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@ -36,7 +36,7 @@ description:
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<!-- /TOC -->
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<!-- /TOC -->
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**[github地址](https://github.com/mbinary/algorithm-and-data-struture.git)**
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**[github地址](https://github.com/mbinary/algorithm-and-data-structure.git)**
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排序的本质就是减少逆序数, 根据是否进行比较,可以分为如下两类.
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排序的本质就是减少逆序数, 根据是否进行比较,可以分为如下两类.
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* 比较排序
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* 比较排序
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@ -35,7 +35,7 @@ description:
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<!-- /TOC -->
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<!-- /TOC -->
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**[github地址](https://github.com/mbinary/algorithm-and-data-struture.git)**
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**[github地址](https://github.com/mbinary/algorithm-and-data-structure.git)**
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<a id="markdown-1-概念" name="1-概念"></a>
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<a id="markdown-1-概念" name="1-概念"></a>
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# 1. 概念
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# 1. 概念
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* 双亲
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* 双亲
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@ -177,22 +177,6 @@ Aho-Corasick automation,是在字典树上添加匹配失败边(失配指针),
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>![](https://upload-images.jianshu.io/upload_images/7130568-85329df49fa54685.png?imageMogr2/auto-orient/strip%7CimageView2/2/w/1240)
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>![](https://upload-images.jianshu.io/upload_images/7130568-85329df49fa54685.png?imageMogr2/auto-orient/strip%7CimageView2/2/w/1240)
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在每一步中,算法先查找当前节点的 “孩子节点”,如果没有找到匹配,查找它的后缀节点(suffix) 的孩子,如果仍然没有,接着查找后缀节点的后缀节点的孩子, 如此循环, 直到根结点,如果到达根节点仍没有找到匹配则结束。
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当算法查找到一个节点,则输出所有结束在当前位置的字典项。输出步骤为首先找到该节点的字典后缀,然后用递归的方式一直执行到节点没有字典前缀为止。同时,如果该节点为一个字典节点,则输出该节点本身。
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输入 abccab 后算法的执行步骤如下:
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输入字符串的分析 abccab
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节点 剩余字符串 输出:结束位置 过渡 输出
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() abccab 从根开始
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(a) bccab a:1 ()→子节点 (a) 当前节点
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(ab) ccab ab:2 (a)→子节点 (ab) 当前节点
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(bc) cab bc:3, c:3 (ab)→后缀节点 (b)→子节点 (bc) 当前节点,字典后缀
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(c) ab c:4 (bc)→后缀节点 (c)→后缀节点 ()→子节点 (c) 当前节点
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(ca) b a:5 (c)→(ca) 字典后缀
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(ab) ab:6 (ca)→后缀节点 (a)→子节点 (ab) 当前节点
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<a id="markdown-5-平衡二叉树" name="5-平衡二叉树"></a>
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<a id="markdown-5-平衡二叉树" name="5-平衡二叉树"></a>
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# 5. 平衡二叉树
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# 5. 平衡二叉树
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上面的二叉查找树不平衡,即经过多次插入,删除后, 其高度变化大, 不能保持$\Theta(n)$的性能
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上面的二叉查找树不平衡,即经过多次插入,删除后, 其高度变化大, 不能保持$\Theta(n)$的性能
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