Description: n个元素{1,2,…,n}有n!个不同的排列。将这n!个排列按字典序排列，并编号为0,1,…,n!-1。每个排列的编号为其字典序值。
给定n以及n个元素{1,2,…,n}的一个排列，计算出这个排列的字典序值，以及按字典序排列的下一个排列。
-n elements (1, 2, ..., n) n! Different permutations. This n! Arranged according to a lexicographic order, and numbered 0, 1, ..., n! -1. No. each with a value for their lexicographic. Given n and n elements (1, 2, ..., n) an arrangement worked out with a dictionary of the order value, and by lexicographic order with the next one. Platform: |
Size: 134243 |
Author:wu |
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Description: 这个程序是按照离散数学教材上给出的算法写的，是字典序的全排列算法。空间复杂度是O(n)，时间复杂度基本上是O(n^2)。缺点是只用于打印并没有储存所有的结果。-the procedure is in accordance with the materials on discrete mathematics algorithm is written, is a wholly-lexicographic order algorithm. Space complexity is O (n), is basically time complexity is O (n ^ 2). Only drawback is not for print, and store all the results. Platform: |
Size: 965 |
Author:沈嘉祺 |
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Description: 这个程序是按照离散数学教材上给出的算法写的，是字典序的全排列算法。空间复杂度是O(n)，时间复杂度基本上是O(n^2)。缺点是只用于打印并没有储存所有的结果。-the procedure is in accordance with the materials on discrete mathematics algorithm is written, is a wholly-lexicographic order algorithm. Space complexity is O (n), is basically time complexity is O (n ^ 2). Only drawback is not for print, and store all the results. Platform: |
Size: 1024 |
Author:沈嘉祺 |
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Description: n个元素{1,2,…,n}有n!个不同的排列。将这n!个排列按字典序排列，并编号为0,1,…,n!-1。每个排列的编号为其字典序值。
给定n以及n个元素{1,2,…,n}的一个排列，计算出这个排列的字典序值，以及按字典序排列的下一个排列。
-n elements (1, 2, ..., n) n! Different permutations. This n! Arranged according to a lexicographic order, and numbered 0, 1, ..., n!-1. No. each with a value for their lexicographic. Given n and n elements (1, 2, ..., n) an arrangement worked out with a dictionary of the order value, and by lexicographic order with the next one. Platform: |
Size: 134144 |
Author:wu |
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Description: 实现了字典序求全排列的算法和组合算法．
用C++实现排列组合算法(排列仅实现字典序法,程序见附件)-Realize the lexicographic order of the overall situation of the algorithm and combination algorithm. With C++ Realize permutation and combination algorithm (with only realize lexicographic method, procedures, see annex) Platform: |
Size: 1024 |
Author:kevin |
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Description: 包括典型的生成字典序排列和快速排序料到典型的源代码-Including the generation of typical lexicographic order and quick to sort thought the source code of a typical Platform: |
Size: 1024 |
Author:starry |
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Description: Description
n个元素{1,2,..., n }有n!个不同的排列。将这n!个排列按字典序排列，并编号为0，1，…，n!-1。每个排列的编号为其字典序值。例如，当n=3时，6 个不同排列的字典序值如下：
任务：给定n 以及n 个元素{1,2,..., n }的一个排列，计算出这个排列的字典序值，以及按字典序排列的下一个排列。
Input
第1 行是元素个数n(n < 15)。接下来的1 行是n个元素{1,2,..., n }的一个排列。
Output
第一行是字典序值，第2行是按字典序排列的下一个排列。
Sample Input
8
2 6 4 5 8 1 7 3
Sample Output
8227
2 6 4 5 8 3 1 7
-Description n elements (1,2 ,..., n) there are n! Different order. This n! Were arranged according to lexicographic order, and numbered 0,1, ..., n!-1. With the numbering of each sequence value for the dictionary. For example, when n = 3 when six different lexicographic order of value are as follows: Missions: given n and n elements (1,2 ,..., n) an array to calculate the lexicographic order of value , as well as lexicographic order with the next. Input Line 1 is the number of elements n (n <15). The next one line is n elements (1,2 ,..., n) of an array. Output the first line is the lexicographic value, line 2 is arranged according to lexicographic order of the next. Sample Input 82 6 4 5 8 1 7 3Sample Output 82272 6 4 5 8 3 1 7 Platform: |
Size: 1024 |
Author:xzz |
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Description: Apriori is a seminal algorithm for fi nding frequent itemsets using candidate generation
[1]. It is characterized as a level-wise complete search algorithm using anti-monotonicity of
itemsets, “if an itemset is not frequent, any of its superset is never frequent”. By convention,
Apriori assumes that items within a transaction or itemset are sorted in lexicographic order.
Let the set of frequent itemsets of size k be Fk and their candidates be Ck . Apriori fi rst scans
the database and searches for frequent itemsets of size 1 by accumulating the count for each
item and collecting those that satisfy the minimum support requirement. It then iterates on
the following three steps and extracts all the frequent itemsets.-Apriori is a seminal algorithm for Platform: |
Size: 29696 |
Author:鱼彬彬 |
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Description: acm算法设计：排列的字典序问题
描述：
n个元素{1,2,..., n }有n!个不同的排列。将这n!个排列按字典序排列，并编号为0，1，…，n!-1。每个排列的编号为其字典序值。例如，当n=3时，6 个不同排列的字典序值如下：
字典序值：0 1 2 3 4 5
排列：123 132 213 231 312 321
任务：给定n 以及n 个元素{1,2,..., n }的一个排列，计算出这个排列的字典序值，以及按字典序排列的下一个排列。
输入：
第1 行是元素个数n(n < 15)。接下来的1 行是n个元素{1,2,..., n }的一个排列。
输出：
第一行是字典序值，第2行是按字典序排列的下一个排列。
例输入：
8
2 6 4 5 8 1 7 3
例输出：
8227
2 6 4 5 8 3 1 7-acm algorithm design: the problem with the dictionary sequence
Description:
n elements (1,2 ,..., n) there are n! different order. This n! Were arranged according to lexicographic order, and numbered 0,1, ..., n!-1. With the number of each sequence value for the dictionary. For example, when n = 3, the six different sequence with the value of the dictionary is as follows:
Lexicographic values: 0 1 2 3 4 5
Order: 123 132 213 231 312 321
Tasks: to set n and n elements (1,2 ,..., n) an arranged order to calculate the value of the dictionary sequence and arranged according to lexicographic order of the next.
Input:
Line 1 is the number of elements n (n <15). Line 1 is the next n elements (1,2 ,..., n) an order.
Output:
The first line is the value of the dictionary sequence, line 2 is arranged according to lexicographic order of the next.
Cases of type:
8
2 6 4 5 8 1 7 3
Cases the output:
8227
2 6 4 5 8 3 1 7 Platform: |
Size: 224256 |
Author:张波 |
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Description: 实现了按字典序全排列的递归算法，能够输出字符进行按字典序的排列的所有结果-Dictionary order to achieve the full array by recursive algorithm, to output characters are ordered by lexicographic ordering of all results Platform: |
Size: 1024 |
Author:邵伯仲 |
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Description: 八皇后问题，金币阵列问题，马的哈密顿周游，字典序排列，双色汉诺塔等经典算法的简单解决，尤其适合初学者参考。-Eight Queens problem, gold array of issues, horse Hamiltonian tour, arranged in lexicographic order, color and other classic Tower of Hanoi algorithm is simple to solve, especially for beginners reference. Platform: |
Size: 6144 |
Author:jqk |
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Description: 通过递归实现二分法，以递归的方式能快捷直接的实现平时要比较麻烦的二分法查询功能-// Function: FindStringInSortedArray
// Usage: index = FindStringInSortedArray (key, array, n)
// -------------------------------------------------------------
// The function searchs the array looking for the specified key.
// The argument n specifies the effective size of the array, which must
// be sorted according to the lexicographic order imposed by StringCompare.
// If the key is found, the order imposed by StringCompare. If the key is found, the order imposed by
// StringCompare. If the key is found, the function returns the index in the array at which that key appears.
// (If the key appears more than once in the array, any of the mathcing indices may be returned). If the key
// does not exist in the array, the funcion returns-1. In this implementation, FindStringInSortedArray is simply
// a wrapper all the work is done by the recursive function BinarySearch. Platform: |
Size: 1024 |
Author:jim |
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Description: 就是要读取比赛结果，然后进行排序，输出一个包括积分，净胜球，进球数等的积分榜。
解题过程：分成两步来做，先用比较合适的方式输入字符串，然后可以用qsort函数进行降序排列，同时把每个队伍当做一个结构体，这里就要主要用qsort函数对结构体进行排序的方法。-So, your task is quite simple: write a program that receives the tournament name, team names and games played and outputs the tournament standings so far.
A team wins a game if it scores more goals than its oponent. Obviously, a team loses a game if it scores less goals. When both teams score the same number of goals, we call it a tie. A team earns 3 points for each win, 1 point for each tie and 0 point for each loss.
Teams are ranked according to these rules (in this order):
Most points earned.
Most wins.
Most goal difference (i.e. goals scored- goals against)
Most goals scored.
Less games played.
Lexicographic order.
The Input
Platform: |
Size: 1024 |
Author:火山 |
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Description: 已知有n个人的姓名，每个人有一个电话号码，然后按这些人名的字典序排列且输出其电话号码表。-there s some persons, each person has a phone number, and then output their phone numbers according to the lexicographic order of these names . Platform: |
Size: 239616 |
Author:宋禹瑶 |
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Description: 字典序解码问题.在数据加密和数据压缩中常需要对特殊的字符串进行数字编号。给定的字母表 A 由26 个小写英文字母组成 A={a,b,…,z}。该字母表产生的升序字符串是指字符串中字母按照
从左到右出现的次序与字母在字母表中出现的次序相同，且每个字符最多出现 1 次。例如，a,b,ab,bc,xyz 等字符串都是升序字符串。现在对字母表 A 产生的升序字符串按照字典序排列并编号。-In the data encryption and data compression often need for a special string figures. A given by the 26 alphabet lowercase English letters A = {a, b, ..., z}. The alphabet ascending resulting string is a string of letters in accordance with the
The order they appear from left to right with the letters in the alphabet appear in the same order, and each character appears at most once. For example, a, b, ab, bc, xyz ascending other strings are strings. Now on the alphabet A string generated by ascending lexicographic order and numbered. Platform: |
Size: 1024 |
Author:欢欣 |
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Description: 文件比较
对两个按字典序排列的有序文件file1和file2的内容进行比较，生成三列输出：仅在file1中出现的行，仅在file2中出现的行，在两个文件中都存在的行，并将输出按字典序排列。
【输入形式】
输入文件为当前目录下的comm.in。
该文件中有两行，每行存有一个文件名。第一行为file1名称，第二行为file2名称。对两个文件的内容进行比较。
每个文件的内容不超过50行，且按字典序排列。
【输出形式】
输出文件为当前目录下的comm.out。
该文件按字典序排列，第一列为仅在file1中出现的行，第二列为仅在file2中出现的行，第三列为两个文件中都存在的行，第一列输出到行首，各列之间用Tab键“\t”分隔。-Document compares the two ordered by lexicographic order files file1 and file2 compare the contents to generate three outputs: Only rows that appear in file1, file2 only rows that appear in both files exist line and output by lexicographic order. [Input type] input file for the current directory comm.in. The file has two lines, each line there a file name. The first act file1 name, the second act file2 name. The contents of the two files to compare. The contents of each file no more than 50 lines, and by lexicographic order. [Output format] output file for the current directory comm.out. The document by lexicographic order, first as only the rows that appear in file1, file2 second column appears only in the row, and the third as both files exist row, first column output to the line First, use the Tab key between the columns " \ t" separated. Platform: |
Size: 457728 |
Author: |
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Search - lexicographic order