自组织列表:计数法

自组织列表 是一个重新组织或重新安排自己以获得更好性能的列表。在一个简单的列表中,要搜索的项目是按顺序查找的,这使得时间复杂度为O(n)。但在真实场景中,并不是所有的项目都被频繁搜索,而且大多数情况下只有少数项目被多次搜索。

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因此,自组织列表使用这个属性(也称为引用位置),将最常用的项置于列表的开头。这增加了在列表开头找到项目的可能性,并且那些很少使用的元素被推到列表的后面。

在里面 计数法 ,计算每个节点的搜索次数(即保持搜索频率)。因此,每个节点都有一个额外的存储空间,每次搜索节点时,存储空间都会增加。然后,节点按计数或搜索频率的非递增顺序排列。因此,这确保了访问频率最高的节点保持在列表的最前面。

图片[1]-自组织列表:计数法-yiteyi-C++库

例如:

Input : list : 1, 2, 3, 4, 5
        searched : 4 
Output : list : 4, 1, 2, 3, 5

Input : list : 4, 1, 2, 3, 5
        searched : 5
        searched : 5
        searched : 2
Output : list : 5, 2, 4, 1, 3
Explanation : 5 is searched 2 times (i.e. the 
most searched) 2 is searched 1 time and 4 is 
also searched 1 time (but since 2 is searched 
recently, it is kept ahead of 4) rest are not 
searched, so they maintained order in which
they were inserted.

// CPP Program to implement self-organizing list
// using count method
#include <iostream>
using namespace std;
// structure for self organizing list
struct self_list {
int value;
int count;
struct self_list* next;
};
// head and rear pointing to start and end of list resp.
self_list *head = NULL, *rear = NULL;
// function to insert an element
void insert_self_list( int number)
{
// creating a node
self_list* temp = (self_list*) malloc ( sizeof (self_list));
// assigning value to the created node;
temp->value = number;
temp->count = 0;
temp->next = NULL;
// first element of list
if (head == NULL)
head = rear = temp;
// rest elements of list
else {
rear->next = temp;
rear = temp;
}
}
// function to search the key in list
// and re-arrange self-organizing list
bool search_self_list( int key)
{
// pointer to current node
self_list* current = head;
// pointer to previous node
self_list* prev = NULL;
// searching for the key
while (current != NULL) {
// if key is found
if (current->value == key) {
// increment the count of node
current->count = current->count + 1;
// if it is not the first element
if (current != head) {
self_list* temp = head;
self_list* temp_prev = NULL;
// finding the place to arrange the searched node
while (current->count < temp->count) {
temp_prev = temp;
temp = temp->next;
}
// if the place is other than its own place
if (current != temp) {
prev->next = current->next;
current->next = temp;
// if it is to be placed at beginning
if (temp == head)
head = current;
else
temp_prev->next = current;
}
}
return true ;
}
prev = current;
current = current->next;
}
return false ;
}
// function to display the list
void display()
{
if (head == NULL) {
cout << "List is empty" << endl;
return ;
}
// temporary pointer pointing to head
self_list* temp = head;
cout << "List: " ;
// sequentially displaying nodes
while (temp != NULL) {
cout << temp->value << "(" << temp->count << ")" ;
if (temp->next != NULL)
cout << " --> " ;
// incrementing node pointer.
temp = temp->next;
}
cout << endl
<< endl;
}
// Driver Code
int main()
{
/* inserting five values */
insert_self_list(1);
insert_self_list(2);
insert_self_list(3);
insert_self_list(4);
insert_self_list(5);
// Display the list
display();
search_self_list(4);
search_self_list(2);
display();
search_self_list(4);
search_self_list(4);
search_self_list(5);
display();
search_self_list(5);
search_self_list(2);
search_self_list(2);
search_self_list(2);
display();
return 0;
}


输出:

List: 1(0) --> 2(0) --> 3(0) --> 4(0) --> 5(0)
List: 2(1) --> 4(1) --> 1(0) --> 3(0) --> 5(0)
List: 4(3) --> 5(1) --> 2(1) --> 1(0) --> 3(0)
List: 2(4) --> 4(3) --> 5(2) --> 1(0) --> 3(0)
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