radix sort

Easy to understand: sort the elements in the array by count, and finally sort the entire array. Watch the dynamic process[Cpp]# Include # Include # Define MAXK 10Int get_int (void );Int count_sort (int * array, int n, int d );Int get_value (int a, int d );Void radix_sort (int * a, int n, int d );// TestIntMain (){Int n = 12;Int p [12] = {1234,3123, 2539,5958, 4365, 3352, 6654,7214, 7684,9351, 4685, 3325 };R

good.For multi-keyword sorting, when the program splits the pending data into sub-keywords, the sub-keyword ordering can either use bucket sorting or use any sort of stable sorting method.Code implementation:Package base order; Import Java.util.arrays;public class Multikeyradixsorttest {public static void main (string[] args) { int[] data = new int[] {1100, 192, 221, 12, 23}; print (data); Radixsort (data, 10, 4);

1. Concurrency TechnologyDue to the need for page cache is global, the process of non-stop access, must consider its concurrency performance, simple to a tree using locks caused by a lot of contention is not enough to meet the speed needs, Linux in the traversal of the tree when the use of a RCU technology to achieve synchronization concurrency.RCU (Read-copy Update), is a guarantee to read the radix tree, you can not control the insert/delete operati

Cardinality treeFormapping of long-integer data, how to solve the hash conflict and hash table size design is a headache problem.The radix tree is a fast and space-saving mapping for this sparse, long-integer data lookup. With the help of the radix tree, we canimplementing routing for long Integer data types。using the radix tree, you can quickly find its correspo

using namespace Std;const int MAXN = 10000;const int INF = 0X3F3F3F3F;int A[MAXN], B[MAXN], C[MAXN];int n;int main () {CIN >> N;int MAX =-1;for (int i = 0; i CIN >> A[i];max = max (max, a[i]);}cout int C = MAX + 1;int c[C];memset(c, 0, sizeof(c));for (int i = 0; i }Base sortTime Complexity O (Nlog (r) m), abbreviation O (n*k)The radix sort (radix

Char * ITOA (INT value, char * string, int Radix); int value converted integer, char * string converted character array, int Radix converted hexadecimal number, for example, 2, 8, 10, 16 Hexadecimal header files: ITOA operation and usage Program example:# Include ITOA Flowchart /* Index table */Char index [] = "0123456789 abcdefghijklmnopqrstuvwxyz"; unsigned unum;/* intermediate variable * int I = 0, J

Original: http://wurong81.spaces.live.com/blog/cns! 5eb4a630986c6ecc! 393. Entry Radix tree used by Linux Kernel1. Introduction In the page cache of the Linux kernel, each data block of a file can correspond to only one page cache. It manages these cache items through two data structures, Radix tree and two-way linked list. Radix tree is a search tree. the Linux

Refer: Radix tree in kernel: trees I: Radix trees Http://lwn.net/articles/175432/ordinary Radix tree (note: this is not the radix tree used in the kernel) Http://en.wikipedia.org/wiki/Radix_tree The variant Radix tree is discussed here. Please note.What is the core idea of

[101] = 1The rest of the elements are 0.The count array is traversed, and each element corresponds to a write back to the A array, at which point the array a should beA = {100,112,112,112,123,123,123,123,156,156,156,178,185,201}As you can see, the array a is already sorted.The code is as follows:voidcountsort (int*a,size_tn) //count Sort { ASSERT (a);intmin=a[0];intmax=a[0];for (inti=1; iAs you can see, the counting

The Cardinal sort process does not need to compare keywords, but instead uses the "assign" and "collect" procedures to achieve sorting. Their time complexity can reach the linear Order: O (n), is a stable sort The implementation of the cardinality sort (in the form of an array, also through a linked list) #pragma once //ra