合并 K 个有序链表
给定 K 个大小为 N 的已排序链表,任务是将它们全部合并并保持其排序顺序。
例子:
输入:K = 3,N = 4
list1 = 1->3->5->7->NULL
list2 = 2->4->6->8->NULL
list3 = 0->9->10->11->NULL
输出:0->1->2->3->4->5->6->7->8->9->10->11
按排序顺序合并列表,其中每个元素都大于等于前一个元素。
输入:K = 3,N = 3
list1 = 1->3->7->NULL
list2 = 2->4->8->NULL
list3 = 9->10->11->NULL
输出:1->2->3->4->7->8->9->10->11
按排序顺序合并列表,其中每个元素都大于等于前一个元素。
暴力方法:
一个暴力的解决方案是将结果初始化为第一个列表。然后从第二个列表开始遍历所有列表。将当前遍历列表的每个节点按照排序插入到结果中。
下面是上述方法的实现:
C++
// C++ program to merge k sorted
// arrays of size n each
#include <bits/stdc++.h>
using namespace std;
// A Linked List node
struct Node {
int data;
Node* next;
};
/* Function to print nodes in
a given linked list */
void printList(Node* node)
{
while (node != NULL) {
printf("%d ", node->data);
node = node->next;
}
}
// The main function that
// takes an array of lists
// arr[0..last] and generates
// the sorted output
Node* mergeKLists(Node* arr[], int last)
{
// Traverse form second list to last
for (int i = 1; i <= last; i++) {
while (true) {
// head of both the lists,
// 0 and ith list.
Node *head_0 = arr[0], *head_i = arr[i];
// Break if list ended
if (head_i == NULL)
break;
// Smaller than first element
if (head_0->data >= head_i->data) {
arr[i] = head_i->next;
head_i->next = head_0;
arr[0] = head_i;
}
else
// Traverse the first list
while (head_0->next != NULL) {
// Smaller than next element
if (head_0->next->data
>= head_i->data) {
arr[i] = head_i->next;
head_i->next = head_0->next;
head_0->next = head_i;
break;
}
// go to next node
head_0 = head_0->next;
// if last node
if (head_0->next == NULL) {
arr[i] = head_i->next;
head_i->next = NULL;
head_0->next = head_i;
head_0->next->next = NULL;
break;
}
}
}
}
return arr[0];
}
// Utility function to create a new node.
Node* newNode(int data)
{
struct Node* temp = new Node;
temp->data = data;
temp->next = NULL;
return temp;
}
// Driver program to test
// above functions
int main()
{
// Number of linked lists
int k = 3;
// Number of elements in each list
int n = 4;
// an array of pointers storing the
// head nodes of the linked lists
Node* arr[k];
arr[0] = newNode(1);
arr[0]->next = newNode(3);
arr[0]->next->next = newNode(5);
arr[0]->next->next->next = newNode(7);
arr[1] = newNode(2);
arr[1]->next = newNode(4);
arr[1]->next->next = newNode(6);
arr[1]->next->next->next = newNode(8);
arr[2] = newNode(0);
arr[2]->next = newNode(9);
arr[2]->next->next = newNode(10);
arr[2]->next->next->next = newNode(11);
// Merge all lists
Node* head = mergeKLists(arr, k - 1);
printList(head);
return 0;
}
Java
// Java program to merge k sorted
// arrays of size n each
import java.io.*;
// A Linked List node
class Node {
int data;
Node next;
// Utility function to create a new node.
Node(int key)
{
data = key;
next = null;
}
}
class GFG {
static Node head;
static Node temp;
/* Function to print nodes in
a given linked list */
static void printList(Node node)
{
while (node != null) {
System.out.print(node.data + " ");
node = node.next;
}
System.out.println();
}
// The main function that
// takes an array of lists
// arr[0..last] and generates
// the sorted output
static Node mergeKLists(Node arr[], int last)
{
// Traverse form second list to last
for (int i = 1; i <= last; i++) {
while (true) {
// head of both the lists,
// 0 and ith list.
Node head_0 = arr[0];
Node head_i = arr[i];
// Break if list ended
if (head_i == null)
break;
// Smaller than first element
if (head_0.data >= head_i.data) {
arr[i] = head_i.next;
head_i.next = head_0;
arr[0] = head_i;
}
else {
// Traverse the first list
while (head_0.next != null) {
// Smaller than next element
if (head_0.next.data
>= head_i.data) {
arr[i] = head_i.next;
head_i.next = head_0.next;
head_0.next = head_i;
break;
}
// go to next node
head_0 = head_0.next;
// if last node
if (head_0.next == null) {
arr[i] = head_i.next;
head_i.next = null;
head_0.next = head_i;
head_0.next.next = null;
break;
}
}
}
}
}
return arr[0];
}
// Driver program to test
// above functions
public static void main(String[] args)
{
// Number of linked lists
int k = 3;
// Number of elements in each list
int n = 4;
// an array of pointers storing the
// head nodes of the linked lists
Node[] arr = new Node[k];
arr[0] = new Node(1);
arr[0].next = new Node(3);
arr[0].next.next = new Node(5);
arr[0].next.next.next = new Node(7);
arr[1] = new Node(2);
arr[1].next = new Node(4);
arr[1].next.next = new Node(6);
arr[1].next.next.next = new Node(8);
arr[2] = new Node(0);
arr[2].next = new Node(9);
arr[2].next.next = new Node(10);
arr[2].next.next.next = new Node(11);
// Merge all lists
head = mergeKLists(arr, k - 1);
printList(head);
}
}
Python
# Python3 program to merge k
# sorted arrays of size n each
# A Linked List node
class Node:
def __init__(self, x):
self.data = x
self.next = None
# Function to print nodes in
# a given linked list
def printList(node):
while (node != None):
print(node.data,
end=" ")
node = node.next
# The main function that
# takes an array of lists
# arr[0..last] and generates
# the sorted output
def mergeKLists(arr, last):
# Traverse form second
# list to last
for i in range(1, last + 1):
while (True):
# head of both the lists,
# 0 and ith list.
head_0 = arr[0]
head_i = arr[i]
# Break if list ended
if (head_i == None):
break
# Smaller than first
# element
if (head_0.data >=
head_i.data):
arr[i] = head_i.next
head_i.next = head_0
arr[0] = head_i
else:
# Traverse the first list
while (head_0.next != None):
# Smaller than next
# element
if (head_0.next.data >=
head_i.data):
arr[i] = head_i.next
head_i.next = head_0.next
head_0.next = head_i
break
# go to next node
head_0 = head_0.next
# if last node
if (head_0.next == None):
arr[i] = head_i.next
head_i.next = None
head_0.next = head_i
head_0.next.next = None
break
return arr[0]
# Driver code
if __name__ == '__main__':
# Number of linked
# lists
k = 3
# Number of elements
# in each list
n = 4
# an array of pointers
# storing the head nodes
# of the linked lists
arr = [None for i in range(k)]
arr[0] = Node(1)
arr[0].next = Node(3)
arr[0].next.next = Node(5)
arr[0].next.next.next = Node(7)
arr[1] = Node(2)
arr[1].next = Node(4)
arr[1].next.next = Node(6)
arr[1].next.next.next = Node(8)
arr[2] = Node(0)
arr[2].next = Node(9)
arr[2].next.next = Node(10)
arr[2].next.next.next = Node(11)
# Merge all lists
head = mergeKLists(arr, k - 1)
printList(head)
C#
// C# program to merge k sorted
// arrays of size n each
using System;
// A Linked List node
public class Node {
public int data;
public Node next;
// Utility function to create a new node.
public Node(int key)
{
data = key;
next = null;
}
}
public class GFG {
static Node head;
/* Function to print nodes in
a given linked list */
static void printList(Node node)
{
while (node != null) {
Console.Write(node.data + " ");
node = node.next;
}
Console.WriteLine();
}
// The main function that
// takes an array of lists
// arr[0..last] and generates
// the sorted output
static Node mergeKLists(Node[] arr, int last)
{
// Traverse form second list to last
for (int i = 1; i <= last; i++) {
while (true) {
// head of both the lists,
// 0 and ith list.
Node head_0 = arr[0];
Node head_i = arr[i];
// Break if list ended
if (head_i == null)
break;
// Smaller than first element
if (head_0.data >= head_i.data) {
arr[i] = head_i.next;
head_i.next = head_0;
arr[0] = head_i;
}
else {
// Traverse the first list
while (head_0.next != null) {
// Smaller than next element
if (head_0.next.data
>= head_i.data) {
arr[i] = head_i.next;
head_i.next = head_0.next;
head_0.next = head_i;
break;
}
// go to next node
head_0 = head_0.next;
// if last node
if (head_0.next == null) {
arr[i] = head_i.next;
head_i.next = null;
head_0.next = head_i;
head_0.next.next = null;
break;
}
}
}
}
}
return arr[0];
}
static public void Main()
{
// Number of linked lists
int k = 3;
// an array of pointers storing the
// head nodes of the linked lists
Node[] arr = new Node[k];
arr[0] = new Node(1);
arr[0].next = new Node(3);
arr[0].next.next = new Node(5);
arr[0].next.next.next = new Node(7);
arr[1] = new Node(2);
arr[1].next = new Node(4);
arr[1].next.next = new Node(6);
arr[1].next.next.next = new Node(8);
arr[2] = new Node(0);
arr[2].next = new Node(9);
arr[2].next.next = new Node(10);
arr[2].next.next.next = new Node(11);
// Merge all lists
head = mergeKLists(arr, k - 1);
printList(head);
}
}
Javascript
<script>
// Javascript program to merge k sorted
// arrays of size n each
// A Linked List node
class Node
{
// Utility function to create a new node.
constructor(key)
{
this.data=key;
this.next=null;
}
}
let head;
let temp;
/* Function to print nodes in
a given linked list */
function printList(node)
{
while(node != null)
{
document.write(node.data + " ");
node = node.next;
}
document.write("<br>");
}
// The main function that
// takes an array of lists
// arr[0..last] and generates
// the sorted output
function mergeKLists(arr,last)
{
// Traverse form second list to last
for (let i = 1; i <= last; i++)
{
while(true)
{
// head of both the lists,
// 0 and ith list.
let head_0 = arr[0];
let head_i = arr[i];
// Break if list ended
if (head_i == null)
break;
// Smaller than first element
if(head_0.data >= head_i.data)
{
arr[i] = head_i.next;
head_i.next = head_0;
arr[0] = head_i;
}
else
{
// Traverse the first list
while (head_0.next != null)
{
// Smaller than next element
if (head_0.next.data >= head_i.data)
{
arr[i] = head_i.next;
head_i.next = head_0.next;
head_0.next = head_i;
break;
}
// go to next node
head_0 = head_0.next;
// if last node
if (head_0.next == null)
{
arr[i] = head_i.next;
head_i.next = null;
head_0.next = head_i;
head_0.next.next = null;
break;
}
}
}
}
}
return arr[0];
}
// Driver program to test
// above functions
// Number of linked lists
let k = 3;
// Number of elements in each list
let n = 4;
// an array of pointers storing the
// head nodes of the linked lists
let arr = new Array(k);
arr[0] = new Node(1);
arr[0].next = new Node(3);
arr[0].next.next = new Node(5);
arr[0].next.next.next = new Node(7);
arr[1] = new Node(2);
arr[1].next = new Node(4);
arr[1].next.next = new Node(6);
arr[1].next.next.next = new Node(8);
arr[2] = new Node(0);
arr[2].next = new Node(9);
arr[2].next.next = new Node(10);
arr[2].next.next.next = new Node(11);
// Merge all lists
head = mergeKLists(arr, k - 1);
printList(head);
</script>
输出
0 1 2 3 4 5 6 7 8 9 10 11
时间复杂度:O(N^(K-1)),在K-1个列表上遍历N次。 辅助空间:O(1)。
分而治之合并 K 个排序链表:
两两配对合并,然后将剩下的 K/2 个列表再进行两两合并,重复此操作,直到所有列表都合并。
请按照以下步骤解决问题:
- 将 K 个列表配对并合并。
- 第一次循环后,剩下 K/2 个列表,每个列表的大小为 2N。第二次循环后,剩下 K/4 个列表,每个列表的大小为 4N,依此类推。
- 重复该过程,直到只剩下一个列表。
下面是上述想法的实现。
C++
// C++ program to merge k sorted
// arrays of size n each
#include <bits/stdc++.h>
using namespace std;
// A Linked List node
struct Node {
int data;
Node* next;
};
/* Function to print nodes in
a given linked list */
void printList(Node* node)
{
while (node != NULL) {
printf("%d ", node->data);
node = node->next;
}
}
/* Takes two lists sorted in increasing order, and merge
their nodes together to make one big sorted list. Below
function takes O(n) extra space for recursive calls,
*/
Node* SortedMerge(Node* a, Node* b)
{
Node* result = NULL;
/* Base cases */
if (a == NULL)
return (b);
else if (b == NULL)
return (a);
/* Pick either a or b, and recur */
if (a->data <= b->data) {
result = a;
result->next = SortedMerge(a->next, b);
}
else {
result = b;
result->next = SortedMerge(a, b->next);
}
return result;
}
// The main function that takes an array of lists
// arr[0..last] and generates the sorted output
Node* mergeKLists(Node* arr[], int last)
{
// repeat until only one list is left
while (last != 0) {
int i = 0, j = last;
// (i, j) forms a pair
while (i < j) {
// merge List i with List j and store
// merged list in List i
arr[i] = SortedMerge(arr[i], arr[j]);
// consider next pair
i++, j--;
// If all pairs are merged, update last
if (i >= j)
last = j;
}
}
return arr[0];
}
// Utility function to create a new node.
Node* newNode(int data)
{
struct Node* temp = new Node;
temp->data = data;
temp->next = NULL;
return temp;
}
// Driver program to test above functions
int main()
{
int k = 3; // Number of linked lists
int n = 4; // Number of elements in each list
// an array of pointers storing the head nodes
// of the linked lists
Node* arr[k];
arr[0] = newNode(1);
arr[0]->next = newNode(3);
arr[0]->next->next = newNode(5);
arr[0]->next->next->next = newNode(7);
arr[1] = newNode(2);
arr[1]->next = newNode(4);
arr[1]->next->next = newNode(6);
arr[1]->next->next->next = newNode(8);
arr[2] = newNode(0);
arr[2]->next = newNode(9);
arr[2]->next->next = newNode(10);
arr[2]->next->next->next = newNode(11);
// Merge all lists
Node* head = mergeKLists(arr, k - 1);
printList(head);
return 0;
}
Java
// Java program to merge k sorted arrays of size n each
public class MergeKSortedLists {
/* Takes two lists sorted in increasing order, and merge
their nodes together to make one big sorted list. Below
function takes O(Log n) extra space for recursive calls,
but it can be easily modified to work with same time and
O(1) extra space */
public static Node SortedMerge(Node a, Node b)
{
Node result = null;
/* Base cases */
if (a == null)
return b;
else if (b == null)
return a;
/* Pick either a or b, and recur */
if (a.data <= b.data) {
result = a;
result.next = SortedMerge(a.next, b);
}
else {
result = b;
result.next = SortedMerge(a, b.next);
}
return result;
}
// The main function that takes an array of lists
// arr[0..last] and generates the sorted output
public static Node mergeKLists(Node arr[], int last)
{
// repeat until only one list is left
while (last != 0) {
int i = 0, j = last;
// (i, j) forms a pair
while (i < j) {
// merge List i with List j and store
// merged list in List i
arr[i] = SortedMerge(arr[i], arr[j]);
// consider next pair
i++;
j--;
// If all pairs are merged, update last
if (i >= j)
last = j;
}
}
return arr[0];
}
/* Function to print nodes in a given linked list */
public static void printList(Node node)
{
while (node != null) {
System.out.print(node.data + " ");
node = node.next;
}
}
public static void main(String args[])
{
int k = 3; // Number of linked lists
int n = 4; // Number of elements in each list
// an array of pointers storing the head nodes
// of the linked lists
Node arr[] = new Node[k];
arr[0] = new Node(1);
arr[0].next = new Node(3);
arr[0].next.next = new Node(5);
arr[0].next.next.next = new Node(7);
arr[1] = new Node(2);
arr[1].next = new Node(4);
arr[1].next.next = new Node(6);
arr[1].next.next.next = new Node(8);
arr[2] = new Node(0);
arr[2].next = new Node(9);
arr[2].next.next = new Node(10);
arr[2].next.next.next = new Node(11);
// Merge all lists
Node head = mergeKLists(arr, k - 1);
printList(head);
}
}
class Node {
int data;
Node next;
Node(int data) { this.data = data; }
}
Python
# Python3 program to merge k sorted
# arrays of size n each
# A Linked List node
class Node:
def __init__(self):
self.data = 0
self.next = None
# Function to print nodes in a
# given linked list
def printList(node):
while (node != None):
print(node.data, end=' ')
node = node.next
# Takes two lists sorted in increasing order,
# and merge their nodes together to make one
# big sorted list. Below function takes
# O(Log n) extra space for recursive calls,
# but it can be easily modified to work with
# same time and O(1) extra space
def SortedMerge(a, b):
result = None
# Base cases
if (a == None):
return(b)
elif (b == None):
return(a)
# Pick either a or b, and recur
if (a.data <= b.data):
result = a
result.next = SortedMerge(a.next, b)
else:
result = b
result.next = SortedMerge(a, b.next)
return result
# The main function that takes an array of lists
# arr[0..last] and generates the sorted output
def mergeKLists(arr, last):
# Repeat until only one list is left
while (last != 0):
i = 0
j = last
# (i, j) forms a pair
while (i < j):
# Merge List i with List j and store
# merged list in List i
arr[i] = SortedMerge(arr[i], arr[j])
# Consider next pair
i += 1
j -= 1
# If all pairs are merged, update last
if (i >= j):
last = j
return arr[0]
# Utility function to create a new node.
def newNode(data):
temp = Node()
temp.data = data
temp.next = None
return temp
# Driver code
if __name__ == '__main__':
# Number of linked lists
k = 3
# Number of elements in each list
n = 4
# An array of pointers storing the
# head nodes of the linked lists
arr = [0 for i in range(k)]
arr[0] = newNode(1)
arr[0].next = newNode(3)
arr[0].next.next = newNode(5)
arr[0].next.next.next = newNode(7)
arr[1] = newNode(2)
arr[1].next = newNode(4)
arr[1].next.next = newNode(6)
arr[1].next.next.next = newNode(8)
arr[2] = newNode(0)
arr[2].next = newNode(9)
arr[2].next.next = newNode(10)
arr[2].next.next.next = newNode(11)
# Merge all lists
head = mergeKLists(arr, k - 1)
printList(head)
C#
// C# program to merge k sorted arrays of size n each
using System;
public class MergeKSortedLists {
/* Takes two lists sorted in
increasing order, and merge
their nodes together to make
one big sorted list. Below
function takes O(Log n) extra
space for recursive calls,
but it can be easily modified
to work with same time and
O(1) extra space */
public static Node SortedMerge(Node a, Node b)
{
Node result = null;
/* Base cases */
if (a == null)
return b;
else if (b == null)
return a;
/* Pick either a or b, and recur */
if (a.data <= b.data) {
result = a;
result.next = SortedMerge(a.next, b);
}
else {
result = b;
result.next = SortedMerge(a, b.next);
}
return result;
}
// The main function that takes
// an array of lists arr[0..last]
// and generates the sorted output
public static Node mergeKLists(Node[] arr, int last)
{
// repeat until only one list is left
while (last != 0) {
int i = 0, j = last;
// (i, j) forms a pair
while (i < j) {
// merge List i with List j and store
// merged list in List i
arr[i] = SortedMerge(arr[i], arr[j]);
// consider next pair
i++;
j--;
// If all pairs are merged, update last
if (i >= j)
last = j;
}
}
return arr[0];
}
/* Function to print nodes in a given linked list */
public static void printList(Node node)
{
while (node != null) {
Console.Write(node.data + " ");
node = node.next;
}
}
public static void Main()
{
int k = 3; // Number of linked lists
// int n = 4; // Number of elements in each list
// An array of pointers storing the head nodes
// of the linked lists
Node[] arr = new Node[k];
arr[0] = new Node(1);
arr[0].next = new Node(3);
arr[0].next.next = new Node(5);
arr[0].next.next.next = new Node(7);
arr[1] = new Node(2);
arr[1].next = new Node(4);
arr[1].next.next = new Node(6);
arr[1].next.next.next = new Node(8);
arr[2] = new Node(0);
arr[2].next = new Node(9);
arr[2].next.next = new Node(10);
arr[2].next.next.next = new Node(11);
// Merge all lists
Node head = mergeKLists(arr, k - 1);
printList(head);
}
}
public class Node {
public int data;
public Node next;
public Node(int data) { this.data = data; }
}
Javascript
<script>
// JavaScript program to merge k sorted
// arrays of size n each
class Node {
constructor(val) {
this.data = val;
this.next = null;
}
}
/*
Takes two lists sorted in increasing order,
and merge their nodes together to
make one big sorted list.
Below function takes O(Log n) extra space for
* recursive calls, but it can be easily modified
to work with same time and
* O(1) extra space
*/
function SortedMerge(a, b) {
var result = null;
/* Base cases */
if (a == null)
return b;
else if (b == null)
return a;
/* Pick either a or b, and recur */
if (a.data <= b.data) {
result = a;
result.next = SortedMerge(a.next, b);
} else {
result = b;
result.next = SortedMerge(a, b.next);
}
return result;
}
// The main function that takes an array of lists
// arr[0..last] and generates the sorted output
function mergeKLists(arr , last) {
// repeat until only one list is left
while (last != 0) {
var i = 0, j = last;
// (i, j) forms a pair
while (i < j) {
// merge List i with List j and store
// merged list in List i
arr[i] = SortedMerge(arr[i], arr[j]);
// consider next pair
i++;
j--;
// If all pairs are merged, update last
if (i >= j)
last = j;
}
}
return arr[0];
}
/* Function to print nodes in a given linked list */
function printList(node) {
while (node != null) {
document.write(node.data + " ");
node = node.next;
}
}
var k = 3; // Number of linked lists
var n = 4; // Number of elements in each list
// an array of pointers storing the head nodes
// of the linked lists
var arr = Array(k);
arr[0] = new Node(1);
arr[0].next = new Node(3);
arr[0].next.next = new Node(5);
arr[0].next.next.next = new Node(7);
arr[1] = new Node(2);
arr[1].next = new Node(4);
arr[1].next.next = new Node(6);
arr[1].next.next.next = new Node(8);
arr[2] = new Node(0);
arr[2].next = new Node(9);
arr[2].next.next = new Node(10);
arr[2].next.next.next = new Node(11);
// Merge all lists
var head = mergeKLists(arr, k - 1);
printList(head);
</script>
输出
0 1 2 3 4 5 6 7 8 9 10 11
时间复杂度:O(N * K * log K)
空间复杂度:O(N * K)
通过选择顶部元素的最小值来合并 K 个排序链表:
选择顶部元素的最小值,将其存储在结果链表中,并递增最小元素的指针。
请按照以下步骤解决问题:
- 初始化 K 个指针, 指向每个列表的第一个元素
- 找到K个列表中值最小的节点并将指针后移,指向下一个节点。
- 将该最小值节点加到结果列表的头指针后面,并将头指针后移一位
- 重复这些步骤,直到所有节点都被使用。
下面是上述方法的实现:
C++
// C++ program to merge k sorted arrays of size n each
#include <bits/stdc++.h>
using namespace std;
// A Linked List node
struct Node {
int data;
Node* next;
Node(int x)
{
data = x;
next = NULL;
}
};
/* Function to print nodes in a given linked list */
void printList(Node* node)
{
while (node != NULL) {
printf("%d ", node->data);
node = node->next;
}
cout << endl;
}
/*Linked list Node structure
struct Node
{
int data;
Node* next;
Node(int x){
data = x;
next = NULL;
}
};
*/
// Function to merge K sorted linked list.
Node* mergeKLists(Node* arr[], int K)
{
Node* head = NULL;
while (1) {
int a = 0;
int z;
Node* curr;
int min = INT_MAX;
for (int i = 0; i < K; i++) {
if (arr[i] != NULL) {
a++;
if (arr[i]->data < min) {
min = arr[i]->data;
z = i;
}
}
}
if (a != 0) {
arr[z] = arr[z]->next;
Node* temp = new Node(min);
if (head == NULL) {
head = temp;
curr = temp;
}
else {
curr->next = temp;
curr = temp;
}
}
else {
return head;
}
}
}
// { Driver Code Starts.
// Driver program to test above functions
int main()
{
int k = 3; // Number of linked lists
int n = 4; // Number of elements in each list
// an array of pointers storing the head nodes
// of the linked lists
Node* arr[k];
arr[0] = new Node(1);
arr[0]->next = new Node(3);
arr[0]->next->next = new Node(5);
arr[0]->next->next->next = new Node(7);
arr[1] = new Node(2);
arr[1]->next = new Node(4);
arr[1]->next->next = new Node(6);
arr[1]->next->next->next = new Node(8);
arr[2] = new Node(0);
arr[2]->next = new Node(9);
arr[2]->next->next = new Node(10);
arr[2]->next->next->next = new Node(11);
Node* head = mergeKLists(arr, k);
printList(head);
return 0;
}
// } Driver Code Ends
Java
// Java program to merge k sorted arrays of size n each
import java.util.*;
// A Linked List node
class Node {
int data;
Node next;
Node(int x) {
data = x;
next = null;
}
}
public class MergeKSortedLists {
/* Function to print nodes in a given linked list */
static void printList(Node node) {
while (node != null) {
System.out.print(node.data + " ");
node = node.next;
}
System.out.println();
}
// Function to merge K sorted linked lists.
static Node mergeKLists(Node[] arr, int K) {
Node head = null;
Node curr = null; // Initialize curr
while (true) {
int a = 0;
int z = 0;
int min = Integer.MAX_VALUE;
for (int i = 0; i < K; i++) {
if (arr[i] != null) {
a++;
if (arr[i].data < min) {
min = arr[i].data;
z = i;
}
}
}
if (a != 0) {
arr[z] = arr[z].next;
Node temp = new Node(min);
if (head == null) {
head = temp;
curr = temp;
} else {
curr.next = temp;
curr = temp;
}
} else {
return head;
}
}
}
// Driver program to test above functions
public static void main(String[] args) {
int k = 3; // Number of linked lists
int n = 4; // Number of elements in each list
// an array of pointers storing the head nodes
// of the linked lists
Node[] arr = new Node[k];
arr[0] = new Node(1);
arr[0].next = new Node(3);
arr[0].next.next = new Node(5);
arr[0].next.next.next = new Node(7);
arr[1] = new Node(2);
arr[1].next = new Node(4);
arr[1].next.next = new Node(6);
arr[1].next.next.next = new Node(8);
arr[2] = new Node(0);
arr[2].next = new Node(9);
arr[2].next.next = new Node(10);
arr[2].next.next.next = new Node(11);
Node head = mergeKLists(arr, k);
printList(head);
}
}
Python
# Python program to merge k sorted arrays of size n each
# A Linked List node
class Node:
def __init__(self, x):
self.data = x
self.next = None
# Function to merge K sorted linked lists
def mergeKLists(arr, K):
from queue import PriorityQueue
# Create a priority queue
pq = PriorityQueue()
# Push the first elements of all linked lists into the priority queue
for i in range(K):
if arr[i] is not None:
pq.put((arr[i].data, i))
head = Node(None)
curr = head
# Merge the linked lists
while not pq.empty():
val, i = pq.get()
curr.next = Node(val)
curr = curr.next
if arr[i].next is not None:
pq.put((arr[i].next.data, i))
arr[i] = arr[i].next
return head.next
# Function to print nodes in a given linked list
def printList(node):
while node is not None:
print(node.data, end=' ')
node = node.next
print()
# Driver program to test the functions
if __name__ == '__main__':
k = 3 # Number of linked lists
n = 4 # Number of elements in each list
# An array of pointers storing the head nodes
# of the linked lists
arr = [None] * k
arr[0] = Node(1)
arr[0].next = Node(3)
arr[0].next.next = Node(5)
arr[0].next.next.next = Node(7)
arr[1] = Node(2)
arr[1].next = Node(4)
arr[1].next.next = Node(6)
arr[1].next.next.next = Node(8)
arr[2] = Node(0)
arr[2].next = Node(9)
arr[2].next.next = Node(10)
arr[2].next.next.next = Node(11)
head = mergeKLists(arr, k)
print("Merged Linked List:")
printList(head)
C#
using System;
// A Linked List node
public class Node {
public int data;
public Node next;
public Node(int x)
{
data = x;
next = null;
}
}
class GFG {
// Function to print nodes in a given linked list
static void PrintList(Node node)
{
while (node != null) {
Console.Write(node.data + " ");
node = node.next;
}
Console.WriteLine();
}
// Function to merge K sorted linked lists
static Node MergeKLists(Node[] arr, int K)
{
Node head = null;
Node curr = null; // Initialize curr
while (true) {
int a = 0;
int z = 0; // Initialize z
int min = int.MaxValue;
for (int i = 0; i < K; i++) {
if (arr[i] != null) {
a++;
if (arr[i].data < min) {
min = arr[i].data;
z = i;
}
}
}
if (a != 0) {
arr[z] = arr[z].next;
Node temp = new Node(min);
if (head == null) {
head = temp;
curr = temp;
}
else {
curr.next = temp;
curr = temp;
}
}
else {
return head;
}
}
}
// Driver program to test above functions
public static void Main(string[] args)
{
int k = 3; // Number of linked lists
// an array of pointers storing the head nodes
// of the linked lists
Node[] arr = new Node[k];
arr[0] = new Node(1);
arr[0].next = new Node(3);
arr[0].next.next = new Node(5);
arr[0].next.next.next = new Node(7);
arr[1] = new Node(2);
arr[1].next = new Node(4);
arr[1].next.next = new Node(6);
arr[1].next.next.next = new Node(8);
arr[2] = new Node(0);
arr[2].next = new Node(9);
arr[2].next.next = new Node(10);
arr[2].next.next.next = new Node(11);
Node head = MergeKLists(arr, k);
PrintList(head);
}
}
Javascript
// Definition for singly-linked list.
class ListNode {
constructor(val) {
this.val = val;
this.next = null;
}
}
/**
* Function to merge K sorted linked lists.
* @param {ListNode[]} lists - An array of linked list nodes.
* @return {ListNode} - The merged linked list.
*/
const mergeKLists = (lists) => {
const mergeTwoLists = (l1, l2) => {
if (!l1) return l2;
if (!l2) return l1;
if (l1.val < l2.val) {
l1.next = mergeTwoLists(l1.next, l2);
return l1;
} else {
l2.next = mergeTwoLists(l1, l2.next);
return l2;
}
};
const mergeKListsRecursively = (lists, start, end) => {
if (start === end) {
return lists[start];
}
const mid = Math.floor((start + end) / 2);
const left = mergeKListsRecursively(lists, start, mid);
const right = mergeKListsRecursively(lists, mid + 1, end);
return mergeTwoLists(left, right);
};
if (lists.length === 0) return null;
return mergeKListsRecursively(lists, 0, lists.length - 1);
};
// Driver program to test above functions
const k = 3; // Number of linked lists
// An array of linked list nodes storing the head nodes of the linked lists
const arr = [];
arr[0] = new ListNode(1);
arr[0].next = new ListNode(3);
arr[0].next.next = new ListNode(5);
arr[0].next.next.next = new ListNode(7);
arr[1] = new ListNode(2);
arr[1].next = new ListNode(4);
arr[1].next.next = new ListNode(6);
arr[1].next.next.next = new ListNode(8);
arr[2] = new ListNode(0);
arr[2].next = new ListNode(9);
arr[2].next.next = new ListNode(10);
arr[2].next.next.next = new ListNode(11);
const head = mergeKLists(arr);
// Function to print nodes in a given linked list
const printList = (node) => {
while (node !== null) {
process.stdout.write(`${node.val} `);
node = node.next;
}
console.log();
};
printList(head);
输出
0 1 2 3 4 5 6 7 8 9 10 11
时间复杂度:O(N*(K^2))
辅助空间:O(K)
未完待续-最小堆
书接下回 合并 k 个排序链表 (2)。