📜  展平链表 | 2套

📅  最后修改于: 2021-09-07 02:04:44             🧑  作者: Mango

给定一个链表,其中每个节点代表一个链表并包含两个其类型的指针:

  • 指向主列表中下一个节点的指针(我们在下面的代码中称之为“右”指针)
  • 指向此节点所在的链表的指针(我们在下面的代码中将其称为“向下”指针)。

所有链表都已排序。看下面的例子
例子:

Input: 
5 -> 10 -> 19 -> 28
|    |     |     |
V    V     V     V
7    20    22    35
|          |     |
V          V     V
8          50    40
|                |
V                V
30               45

Output: 5->7->8->10->19->20->22->28->30->35->40->45->50

Input: 
5 -> 10 -> 19 -> 28
|          |   
V          V    
7          22   
|          |   
V          V    
8          50 
|              
V               
30              

Output: 5->7->8->10->19->20->22->30->50

在上一篇文章中,我们必须使用对链表进行归并排序的merge()过程来展平链表。
在这篇文章中,我们将使用堆解决它。

方法:思想是观察从每个顶部节点开始有N个向下连接的节点,但观察所有向下的节点都是按顺序排列的。所以任务是按升序(或降序)对整个事物进行排序。

  1. 将优先队列中向下列表中所有链表的头部压入。
  2. 从优先级队列中弹出最小的节点。
  3. 检查节点的位置,以便将当前节点指向的下一个节点推入优先级队列。
  4. 再次弹出最小元素并插入当前节点指向的下一个节点,直到堆变为空。
  5. 继续在新链表中添加节点的数据,这些数据被导出到新链表中。
  6. 打印上面形成的链表。

下面是上述方法的实现:

C++
// C++ program for Flattening
// a linked list using Heaps
#include 
using namespace std;
 
// Structure of given Linked list
struct Node {
    int data;
    struct Node* right;
    struct Node* down;
 
    Node(int x)
    {
        data = x;
        right = NULL;
        down = NULL;
    }
};
 
// Function to print the
// linked list
void printList(Node* Node)
{
    while (Node != NULL) {
        printf("%d ", Node->data);
        Node = Node->down;
    }
}
 
// Function that compares the value
// pointed by node and returns true
// if first data is greater
struct compare {
    bool operator()(Node* a, Node* b)
    {
        return a->data > b->data;
    }
};
 
// Function which returns the root
// of the flattened linked list
Node* flatten(Node* root)
{
    Node* ptr = root;
    Node* head = NULL;
 
    // Min Heap which will return
    // smallest element currently
    // present in heap
    priority_queue,
             compare> pq;
 
    // Push the head nodes of each
    // downward linked list
    while (ptr != NULL) {
        pq.push(ptr);
        ptr = ptr->right;
    }
 
    // This loop will execute
    // till the map becomes empty
    while (!pq.empty()) {
 
        // Pop out the node that
        // contains element
        // currently in heap
        Node* temp = pq.top();
        pq.pop();
 
        // Push the next node pointed by
        // the current node into heap
        // if it is not null
        if (temp->down != NULL) {
            pq.push(temp->down);
        }
 
        // Create new linked list
        // that is to be returned
        if (head == NULL) {
            head = temp;
            ptr = temp;
            ptr->right = NULL;
        }
        else {
            ptr->down = temp;
            ptr = temp;
            ptr->right = NULL;
        }
    }
 
    // Pointer to head node
    // in the linked list
    return head;
}
 
// Create and push new nodes
void push(Node** head_ref, int new_data)
{
    Node* new_node = (Node*)malloc(sizeof(Node));
    new_node->right = NULL;
    new_node->data = new_data;
    new_node->down = (*head_ref);
 
    (*head_ref) = new_node;
}
 
// Driver Code
int main()
{
    Node* root = NULL;
 
    // Given Linked List
    push(&root, 30);
    push(&root, 8);
    push(&root, 7);
    push(&root, 5);
 
    push(&(root->right), 20);
    push(&(root->right), 10);
 
    push(&(root->right->right), 50);
    push(&(root->right->right), 22);
    push(&(root->right->right), 19);
 
    push(&(root->right->right->right), 45);
    push(&(root->right->right->right), 40);
    push(&(root->right->right->right), 35);
    push(&(root->right->right->right), 20);
 
    // Flatten the list
    root = flatten(root);
 
    // Print the flatened linked list
    printList(root);
 
    return 0;
}


Java
// Java program for Flattening
// a linked list using Heaps
import java.util.*;
 
// Linked list Node
class Node {
    int data;
    Node right, down;
    Node(int data)
    {
        this.data = data;
        right = null;
        down = null;
    }
}
 
class pair {
    int val;
    Node head;
 
    pair(Node head, int val)
    {
        this.val = val;
        this.head = head;
    }
}
 
// Class that compares the value
// pointed by node and make
// LinkedList sorted
class pairComp implements Comparator {
    public int compare(pair p1, pair p2)
    {
        return p1.val - p2.val;
    }
}
 
class GFG {
 
    // Function which returns the root
    // of the flattened linked list
    public static Node flatten(Node root)
    {
        Node ptr = root;
        Node h = null;
 
        // Min Heap which will return
        // smallest element currently
        // present in heap
        PriorityQueue pq
            = new PriorityQueue(
                        new pairComp());
 
        // Push the head nodes of each
        // downward linked list
        while (ptr != null) {
            pq.add(new pair(ptr, ptr.data));
            ptr = ptr.right;
        }
 
        // This loop will execute
        // till the pq becomes empty
        while (!pq.isEmpty()) {
 
            // Pop out the node that
            // contains element
            // currently in heap
            Node temp = pq.poll().head;
 
            // Push the next node pointed by
            // the current node into heap
            // if it is not null
            if (temp.down != null) {
                pq.add(new pair(temp.down,
                                temp.down.data));
            }
 
            // Create new linked list
            // that is to be returned
            if (h == null) {
                h = temp;
                ptr = temp;
                ptr.right = null;
            }
            else {
                ptr.down = temp;
                ptr = temp;
                ptr.right = null;
            }
        }
 
        // Pointer to head node
        // in the linked list
        return h;
    }
 
    // Create and push new nodes
    public static Node push(Node head_ref,
                            int data)
    {
 
        // Allocate the Node &
        // Put in the data
        Node new_node = new Node(data);
 
        // Make next of new Node as head
        new_node.down = head_ref;
 
        // Move the head to point to new Node
        head_ref = new_node;
 
        // return to link it back
        return head_ref;
    }
 
    // Function to print the
    // linked list
    public static void printList(Node h)
    {
        while (h != null) {
            System.out.print(h.data + " ");
            h = h.down;
        }
    }
 
    // Driver code
    public static void main(String args[])
    {
        Node head = null;
 
        head = push(head, 30);
        head = push(head, 8);
        head = push(head, 7);
        head = push(head, 5);
 
        head.right = push(head.right, 20);
        head.right = push(head.right, 10);
 
        head.right.right = push(
                  head.right.right, 50);
        head.right.right = push(
                  head.right.right, 22);
        head.right.right = push(
                  head.right.right, 19);
 
        head.right.right.right
            = push(
          head.right.right.right, 45);
        head.right.right.right
            = push(
              head.right.right.right, 40);
        head.right.right.right
            = push(
              head.right.right.right, 35);
        head.right.right.right
            = push(head.right.right.right, 20);
 
        // Flatten the list
        head = flatten(head);
 
        printList(head);
    }
}
 
// This code is contributed by Naresh Saharan
// and Sagar Jangra and Tridib Samanta


输出
5 7 8 10 19 20 20 22 30 35 40 45 50 

时间复杂度: O(k * log k) + O((Nk) * log k) = O(N * log k) ,其中“ k ”是最顶层水平链表中的节点数,“ N ”是所有链表中的节点总数。 ‘ log k ‘ 时间用于 min-heapify 过程。
辅助空间:最小堆的O(k) ,其中“ k ”是最顶层水平链表中的节点数。最小堆在任何时候都将具有最多 ‘ k ‘ 个节点。

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