• Data Structures


    -!5. TrieSuffix Tree: http://blog.csdn.net/v_july_v/article/details/6897097

      Trie: think about how you used King Dict by typing; Suffix Tree: all suffix on a trie.
      *Suffix Tree construction: Ukkonen Algorithm(http://stackoverflow.com/questions/9452701/ukkonens-suffix-tree-algorithm-in-plain-english); Growthing by splitting dynamically. Suffix Array: http://blog.csdn.net/zdl1016/article/details/4731875. Sorting lexicographically is the key.

    -6. Segment Tree.Cut in half until only one number

    9. Advanced data structures

        Union-Set (http://dongxicheng.org/structure/union-find-set/ Simply trees with parent ptr)
        2 optimizations: http://www.cnblogs.com/wuchanming/p/3873847.html
        union by rank: append smaller set under larger set. to avoid degeneration to list
           path compression: all sub-nodes pointing to root

        Skip list (multi-level list, actually a BST i think)
        Tournament Tree: complete binary tree. EPI p425. Beautiful explanation.(like a binary indexed tree?)
        Dancing list! - exact cover problem.  http://blog.csdn.net/sunny606/article/details/7833551
                        http://www.cnblogs.com/steady/archive/2011/03/15/1984791.html (advanced)
        essentially a dynamic optimization in terms of sparse matrix like structures.
        Leftist heap: make right child sub-heap short. For faster heap merge.
        http://www.xuebuyuan.com/159395.html
        *Binomial Heap: recurrent forest. Generalized to Fibonacci Heap. Only theoretical value.
        Min-Max Heap: http://wenku.baidu.com/view/1951fecdda38376baf1fae37. Min-Heap & Max-Heap interleaved.
        Rope: http://www.ibm.com/developerworks/cn/java/j-ropes/index.html. Tree structured string.
        Finger tree
      Patricia Tree

        Binary Indexed Tree: http://baike.baidu.com/view/1420784.htm
        Related with segment tree. similar like skip-list, but indexed by (partial) sums - log(n) to compute sum - for statistics
        *Splay tree: http://www.cnblogs.com/vamei/archive/2013/03/24/2976545.html
        complex as RB-tree. Query oriented; floating up queried node to root & balancing every query, by rotations as RB-tree.
        Treap: http://www.cnblogs.com/shuaiwhu/archive/2012/05/06/2485894.html
        BST & Heap mixed: left ight: BST; parentchild: Heap

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  • 原文地址:https://www.cnblogs.com/tonix/p/3916360.html
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