在上一篇文章中跳过列表|第2组(插入)讨论了跳过节点的结构以及如何在跳过列表中插入元素。在本文中,我们将讨论如何在跳过列表中搜索和删除元素。
在跳过列表中搜索元素
搜索元素与搜索要在跳过列表中插入元素的地点的方法非常相似。基本想法是-
- 下一个节点的键小于搜索键,然后我们继续在相同级别上前进。
- 下一个节点的密钥大于要插入的密钥,然后我们将指向当前节点i的指针存储在update [i]处,并向下移动一级并继续我们的搜索。
在最低级别(0),如果最右边元素(update [0])旁边的元素的键等于搜索键,则我们发现键否则失败。
以下是用于搜索元素的伪代码–
Search(list, searchKey)
x := list -> header
-- loop invariant: x -> key level downto 0 do
while x -> forward[i] -> key forward[i]
x := x -> forward[0]
if x -> key = searchKey then return x -> value
else return failure
考虑这个示例,我们要搜索键17-
从“跳过”列表中删除元素
删除元素k之前,使用上述搜索算法在“跳过”列表中定位元素。定位元素后,就像我们在单链列表中一样,完成了指针的重新排列以删除元素表单列表。我们从最低级别开始进行重新排列,直到update [i]旁边的元素不是k。
删除元素后,可能会存在没有元素的级别,因此我们也将通过减少“跳过”列表的级别来删除这些级别。以下是删除的伪代码–
Delete(list, searchKey)
local update[0..MaxLevel+1]
x := list -> header
for i := list -> level downto 0 do
while x -> forward[i] -> key forward[i]
update[i] := x
x := x -> forward[0]
if x -> key = searchKey then
for i := 0 to list -> level do
if update[i] -> forward[i] ≠ x then break
update[i] -> forward[i] := x -> forward[i]
free(x)
while list -> level > 0 and list -> header -> forward[list -> level] = NIL do
list -> level := list -> level – 1
考虑这个示例,我们要删除元素6 –
在第3层,删除元素6后没有任何元素(红色箭头)。因此,我们将跳过列表的层数减1。
以下是用于从跳过列表中搜索和删除元素的代码–
C++
// C++ code for searching and deleting element in skip list
#include
using namespace std;
// Class to implement node
class Node
{
public:
int key;
// Array to hold pointers to node of different level
Node **forward;
Node(int, int);
};
Node::Node(int key, int level)
{
this->key = key;
// Allocate memory to forward
forward = new Node*[level+1];
// Fill forward array with 0(NULL)
memset(forward, 0, sizeof(Node*)*(level+1));
};
// Class for Skip list
class SkipList
{
// Maximum level for this skip list
int MAXLVL;
// P is the fraction of the nodes with level
// i pointers also having level i+1 pointers
float P;
// current level of skip list
int level;
// pointer to header node
Node *header;
public:
SkipList(int, float);
int randomLevel();
Node* createNode(int, int);
void insertElement(int);
void deleteElement(int);
void searchElement(int);
void displayList();
};
SkipList::SkipList(int MAXLVL, float P)
{
this->MAXLVL = MAXLVL;
this->P = P;
level = 0;
// create header node and initialize key to -1
header = new Node(-1, MAXLVL);
};
// create random level for node
int SkipList::randomLevel()
{
float r = (float)rand()/RAND_MAX;
int lvl = 0;
while(r < P && lvl < MAXLVL)
{
lvl++;
r = (float)rand()/RAND_MAX;
}
return lvl;
};
// create new node
Node* SkipList::createNode(int key, int level)
{
Node *n = new Node(key, level);
return n;
};
// Insert given key in skip list
void SkipList::insertElement(int key)
{
Node *current = header;
// create update array and initialize it
Node *update[MAXLVL+1];
memset(update, 0, sizeof(Node*)*(MAXLVL+1));
/* start from highest level of skip list
move the current pointer forward while key
is greater than key of node next to current
Otherwise inserted current in update and
move one level down and continue search
*/
for(int i = level; i >= 0; i--)
{
while(current->forward[i] != NULL &&
current->forward[i]->key < key)
current = current->forward[i];
update[i] = current;
}
/* reached level 0 and forward pointer to
right, which is desired position to
insert key.
*/
current = current->forward[0];
/* if current is NULL that means we have reached
to end of the level or current's key is not equal
to key to insert that means we have to insert
node between update[0] and current node */
if (current == NULL || current->key != key)
{
// Generate a random level for node
int rlevel = randomLevel();
/* If random level is greater than list's current
level (node with highest level inserted in
list so far), initialize update value with pointer
to header for further use */
if(rlevel > level)
{
for(int i=level+1;iforward[i] = update[i]->forward[i];
update[i]->forward[i] = n;
}
cout<<"Successfully Inserted key "<= 0; i--)
{
while(current->forward[i] != NULL &&
current->forward[i]->key < key)
current = current->forward[i];
update[i] = current;
}
/* reached level 0 and forward pointer to
right, which is possibly our desired node.*/
current = current->forward[0];
// If current node is target node
if(current != NULL and current->key == key)
{
/* start from lowest level and rearrange
pointers just like we do in singly linked list
to remove target node */
for(int i=0;i<=level;i++)
{
/* If at level i, next node is not target
node, break the loop, no need to move
further level */
if(update[i]->forward[i] != current)
break;
update[i]->forward[i] = current->forward[i];
}
// Remove levels having no elements
while(level>0 &&
header->forward[level] == 0)
level--;
cout<<"Successfully deleted key "<= 0; i--)
{
while(current->forward[i] &&
current->forward[i]->key < key)
current = current->forward[i];
}
/* reached level 0 and advance pointer to
right, which is possibly our desired node*/
current = current->forward[0];
// If current node have key equal to
// search key, we have found our target node
if(current and current->key == key)
cout<<"Found key: "<forward[i];
cout<<"Level "<key<<" ";
node = node->forward[i];
}
cout<<"\n";
}
};
// Driver to test above code
int main()
{
// Seed random number generator
srand((unsigned)time(0));
// create SkipList object with MAXLVL and P
SkipList lst(3, 0.5);
lst.insertElement(3);
lst.insertElement(6);
lst.insertElement(7);
lst.insertElement(9);
lst.insertElement(12);
lst.insertElement(19);
lst.insertElement(17);
lst.insertElement(26);
lst.insertElement(21);
lst.insertElement(25);
lst.displayList();
//Search for node 19
lst.searchElement(19);
//Delete node 19
lst.deleteElement(19);
lst.displayList();
}
Python
# Python3 code for searching and deleting element in skip list
import random
class Node(object):
'''
Class to implement node
'''
def __init__(self, key, level):
self.key = key
# list to hold references to node of different level
self.forward = [None]*(level+1)
class SkipList(object):
'''
Class for Skip list
'''
def __init__(self, max_lvl, P):
# Maximum level for this skip list
self.MAXLVL = max_lvl
# P is the fraction of the nodes with level
# i references also having level i+1 references
self.P = P
# create header node and initialize key to -1
self.header = self.createNode(self.MAXLVL, -1)
# current level of skip list
self.level = 0
# create new node
def createNode(self, lvl, key):
n = Node(key, lvl)
return n
# create random level for node
def randomLevel(self):
lvl = 0
while random.random() self.level:
for i in range(self.level+1, rlevel+1):
update[i] = self.header
self.level = rlevel
# create new node with random level generated
n = self.createNode(rlevel, key)
# insert node by rearranging references
for i in range(rlevel+1):
n.forward[i] = update[i].forward[i]
update[i].forward[i] = n
print("Successfully inserted key {}".format(key))
def deleteElement(self, search_key):
# create update array and initialize it
update = [None]*(self.MAXLVL+1)
current = self.header
'''
start from highest level of skip list
move the current reference forward while key
is greater than key of node next to current
Otherwise inserted current in update and
move one level down and continue search
'''
for i in range(self.level, -1, -1):
while(current.forward[i] and \
current.forward[i].key < search_key):
current = current.forward[i]
update[i] = current
'''
reached level 0 and advance reference to
right, which is prssibly our desired node
'''
current = current.forward[0]
# If current node is target node
if current != None and current.key == search_key:
'''
start from lowest level and rearrange references
just like we do in singly linked list
to remove target node
'''
for i in range(self.level+1):
'''
If at level i, next node is not target
node, break the loop, no need to move
further level
'''
if update[i].forward[i] != current:
break
update[i].forward[i] = current.forward[i]
# Remove levels having no elements
while(self.level>0 and\
self.header.forward[self.level] == None):
self.level -= 1
print("Successfully deleted {}".format(search_key))
def searchElement(self, key):
current = self.header
'''
start from highest level of skip list
move the current reference forward while key
is greater than key of node next to current
Otherwise inserted current in update and
move one level down and continue search
'''
for i in range(self.level, -1, -1):
while(current.forward[i] and\
current.forward[i].key < key):
current = current.forward[i]
# reached level 0 and advance reference to
# right, which is prssibly our desired node
current = current.forward[0]
# If current node have key equal to
# search key, we have found our target node
if current and current.key == key:
print("Found key ", key)
# Display skip list level wise
def displayList(self):
print("\n*****Skip List******")
head = self.header
for lvl in range(self.level+1):
print("Level {}: ".format(lvl), end=" ")
node = head.forward[lvl]
while(node != None):
print(node.key, end=" ")
node = node.forward[lvl]
print("")
# Driver to test above code
def main():
lst = SkipList(3, 0.5)
lst.insertElement(3)
lst.insertElement(6)
lst.insertElement(7)
lst.insertElement(9)
lst.insertElement(12)
lst.insertElement(19)
lst.insertElement(17)
lst.insertElement(26)
lst.insertElement(21)
lst.insertElement(25)
lst.displayList()
# Search for node 19
lst.searchElement(19)
# Delete node 19
lst.deleteElement(19)
lst.displayList()
main()
输出:
Successfully Inserted key 3
Successfully Inserted key 6
Successfully Inserted key 7
Successfully Inserted key 9
Successfully Inserted key 12
Successfully Inserted key 19
Successfully Inserted key 17
Successfully Inserted key 26
Successfully Inserted key 21
Successfully Inserted key 25
*****Skip List*****
Level 0: 3 6 7 9 12 17 19 21 25 26
Level 1: 3 17 19 21 26
Level 2: 17 19 21
Found key: 19
Successfully deleted key 19
*****Skip List*****
Level 0: 3 6 7 9 12 17 21 25 26
Level 1: 3 17 21 26
Level 2: 17 21
搜索和删除的时间复杂度相同–
时间复杂度(平均) :
时间复杂度(最差):
参考
ftp://ftp.cs.umd.edu/pub/skipLists/skiplists.pdf