Merge Two Sorted Lists

本文介绍了一种使用递归方法合并两个已排序链表的方法。通过比较两个链表的头结点值,将较小值的节点作为新链表的头结点,并递归地处理剩余节点,最终实现两链表的有序合并。

Merge two sorted linked lists and return it as a new list. The new list should be made by splicing together the nodes of the first two lists.

分析:这道题我们新建新的链表,并且此题运用递归手法还是很好做的。首先我们从合并两个链表的头结点开始。链表1的头结点的值小于链表2的头结点的值,因此链表1的头结点将是合并后链表的头结点,反之,链表2的头结点将是合并后链表的头结点。我们继续合并两个链表中剩余的结点。在两个链表中剩下的结点依然是排序的,因此合并这两个链表的步骤和前面步骤是一样的。

/**
 * Definition for singly-linked list.
 * struct ListNode {
 *     int val;
 *     ListNode *next;
 *     ListNode(int x) : val(x), next(NULL) {}
 * };
 */
class Solution {
public:
    ListNode *mergeTwoLists(ListNode *l1, ListNode *l2) {
        if(l1==NULL)
            return l2;
        else if(l2==NULL)
            return l1;
        ListNode *pMerge=NULL;
        if(l1->val<l2->val)
        {
            pMerge=l1;
            pMerge->next=mergeTwoLists(l1->next,l2);
        }
        else
        {
            pMerge=l2;
            pMerge->next=mergeTwoLists(l1,l2->next);
        }
        return pMerge;
    }
};

 

 

 

 

转载于:https://www.cnblogs.com/awy-blog/p/3597316.html

To merge k sorted linked lists, one approach is to repeatedly merge two of the linked lists until all k lists have been merged into one. We can use a priority queue to keep track of the minimum element across all k linked lists at any given time. Here's the code to implement this idea: ``` struct ListNode { int val; ListNode* next; ListNode(int x) : val(x), next(NULL) {} }; // Custom comparator for the priority queue struct CompareNode { bool operator()(const ListNode* node1, const ListNode* node2) const { return node1->val > node2->val; } }; ListNode* mergeKLists(vector<ListNode*>& lists) { priority_queue<ListNode*, vector<ListNode*>, CompareNode> pq; for (ListNode* list : lists) { if (list) { pq.push(list); } } ListNode* dummy = new ListNode(-1); ListNode* curr = dummy; while (!pq.empty()) { ListNode* node = pq.top(); pq.pop(); curr->next = node; curr = curr->next; if (node->next) { pq.push(node->next); } } return dummy->next; } ``` We start by initializing a priority queue with all the head nodes of the k linked lists. We use a custom comparator that compares the values of two nodes and returns true if the first node's value is less than the second node's value. We then create a dummy node to serve as the head of the merged linked list, and a current node to keep track of the last node in the merged linked list. We repeatedly pop the minimum node from the priority queue and append it to the merged linked list. If the popped node has a next node, we push it onto the priority queue. Once the priority queue is empty, we return the head of the merged linked list. Note that this implementation has a time complexity of O(n log k), where n is the total number of nodes across all k linked lists, and a space complexity of O(k).
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