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data-structure-paper

于 2013-09-18 发布 文件大小:1450KB
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  本资料为数据结构的相关试卷,可以帮助大家解决一下有关考试的问题(This information is relevant papers data structure that can help you solve the problems concerning the examination)

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    2013-09-23 16:04:24下载
    积分:1
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    迷宫问题 队列求解 界面还不完善 可以自己添加(Maze problem solving interface queue is not perfect you can add your own)
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    积分:1
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    图的遍历的实现,文字界面,包含深度遍历和广度遍历两种情况~~(Graph traversal implementation, the text interface, including the depth and breadth traversal traverse both cases ~ ~)
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    数据结构算法集锦:包括大量常用算法,如求两数的最大公约数、素数的求法、Prim算法、Kruskal算法、最短路径、Dijkstra 算法、排序相关算法、高精度计算相关算法(algorithm data structure highlights include : large common algorithms, such as for the number two majors, for the prime numbers, Prim algorithm, Kruskal algorithm, the shortest path, the Dijkstra algorithm, scheduling algorithms, high-precision calculation algorithms, etc.)
    2005-06-28 19:55:07下载
    积分:1
  • arc
    运用二叉树求代数表达式的值,将代数表达式的每个符号用二叉树结点表示,遍历图的每一结点,按结点值得不同采用不同运算方式(Solving algebraic expressions binary tree)
    2012-06-23 19:52:38下载
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  • Devillanguage1
    Devil language 数据结构中的经典问题 此为问题!(Devil language data structure of the classic problems of this problem!)
    2006-10-17 23:42:17下载
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  • 851DataStructure2009
    江苏大学数据结构研究生试题2009Jiangsu University graduate examination papers(Jiangsu University graduate examination papers)
    2011-09-25 11:51:05下载
    积分:1
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    设有一头指针为L的带有表头结点的非循环双向链表,其每个结点中除有prev(前驱指针),data(数据)和next(后继指针)域外,还有一个访问频度域freq。在链表被起用前,其值均初始化为零。每当在链表中进行一次Locate(L,x)运算时,令元素值为x的结点中freq域的值增1,并使此链表中结点保持按访问频度非增(递减)的顺序排列,同时最近访问的结点排在频度相同的结点的最后,以便使频繁访问的结点总是靠近表头。试编写符合上述要求的Locate(L,x)运算的算法,该运算为函数过程,返回找到结点的地址,类型为指针型。(Has a head pointer is non-circular doubly linked list L with a header node, each node in addition to prev (precursor pointer), data (data) and next (successor pointers) outside, there is an access frequency degree domain freq. Before the list was hired, their values are initialized to zero. Whenever carried out in the list once Locate (L, x) when the operation, so that the element node x is the value in freq domain by one, and keep this list in the node-access frequency of non-increasing (decreasing) the order, while a recent visit to the nodes in the same row of the frequency of the last node, so that the nodes are frequently accessed tables are always near the head. Locate (L, x) algorithm is prepared in accordance with the above requirements of the test operation, the operation as a function of the process, return to find the address of the node of type pointer.)
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  • delete
    数据结构 实验练习 删除相同的节点 希望会对大家有所帮助(Data structures lab exercises to remove the same node want to be helpful to everyone)
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