鉴于由N个节点的N叉树,任务是寻找具有在指定N进制树最大值的节点。
例子:
Input:
Output: 90
Explanation: The node with the largest value in the tree is 90.
Input:
Output: 95
Explanation: The node with the largest value in the tree is 95.
方法:可以通过遍历给定的N叉树并跟踪出现的节点的最大值来解决给定的问题。遍历完成后,打印得到的最大值。
下面是上述方法的实现:
C++
// C++ program for the above approach
#include
using namespace std;
// Structure of a
// node of N-ary tree
struct Node {
int key;
vector child;
};
// Stores the node with largest value
Node* maximum = NULL;
// Function to create a new Node
Node* newNode(int key)
{
Node* temp = new Node;
temp->key = key;
// Return the newly created node
return temp;
}
// Function to find the node with
// largest value in N-ary tree
void findlargest(Node* root)
{
// Base Case
if (root == NULL)
return;
// If maximum is NULL, return
// the value of root node
if ((maximum) == NULL)
maximum = root;
// If value of the root is greater
// than maximum, update the maximum node
else if (root->key > (maximum)->key) {
maximum = root;
}
// Recursively call for all the
// children of the root node
for (int i = 0;
i < root->child.size(); i++) {
findlargest(root->child[i]);
}
}
// Driver Code
int main()
{
// Given N-ary tree
Node* root = newNode(11);
(root->child).push_back(newNode(21));
(root->child).push_back(newNode(29));
(root->child).push_back(newNode(90));
(root->child[0]->child).push_back(newNode(18));
(root->child[1]->child).push_back(newNode(10));
(root->child[1]->child).push_back(newNode(12));
(root->child[2]->child).push_back(newNode(77));
findlargest(root);
// Print the largest value
cout << maximum->key;
return 0;
}
Java
// Java program for the above approach
import java.util.*;
class GFG{
// Structure of a
// node of N-ary tree
static class Node
{
int key;
Vector child = new Vector<>();
};
// Stores the node with largest value
static Node maximum = null;
// Function to create a new Node
static Node newNode(int key)
{
Node temp = new Node();
temp.key = key;
// Return the newly created node
return temp;
}
// Function to find the node with
// largest value in N-ary tree
static void findlargest(Node root)
{
// Base Case
if (root == null)
return;
// If maximum is null, return
// the value of root node
if ((maximum) == null)
maximum = root;
// If value of the root is greater
// than maximum, update the maximum node
else if (root.key > (maximum).key)
{
maximum = root;
}
// Recursively call for all the
// children of the root node
for(int i = 0;
i < root.child.size(); i++)
{
findlargest(root.child.get(i));
}
}
// Driver Code
public static void main(String[] args)
{
// Given N-ary tree
Node root = newNode(11);
(root.child).add(newNode(21));
(root.child).add(newNode(29));
(root.child).add(newNode(90));
(root.child.get(0).child).add(newNode(18));
(root.child.get(1).child).add(newNode(10));
(root.child.get(1).child).add(newNode(12));
(root.child.get(2).child).add(newNode(77));
findlargest(root);
// Print the largest value
System.out.print(maximum.key);
}
}
// This code is contributed by Princi Singh
C#
// C# program for the above approach
using System;
using System.Collections.Generic;
public class GFG{
// Structure of a
// node of N-ary tree
class Node
{
public int key;
public List child = new List();
};
// Stores the node with largest value
static Node maximum = null;
// Function to create a new Node
static Node newNode(int key)
{
Node temp = new Node();
temp.key = key;
// Return the newly created node
return temp;
}
// Function to find the node with
// largest value in N-ary tree
static void findlargest(Node root)
{
// Base Case
if (root == null)
return;
// If maximum is null, return
// the value of root node
if ((maximum) == null)
maximum = root;
// If value of the root is greater
// than maximum, update the maximum node
else if (root.key > (maximum).key)
{
maximum = root;
}
// Recursively call for all the
// children of the root node
for(int i = 0;
i < root.child.Count; i++)
{
findlargest(root.child[i]);
}
}
// Driver Code
public static void Main(String[] args)
{
// Given N-ary tree
Node root = newNode(11);
(root.child).Add(newNode(21));
(root.child).Add(newNode(29));
(root.child).Add(newNode(90));
(root.child[0].child).Add(newNode(18));
(root.child[1].child).Add(newNode(10));
(root.child[1].child).Add(newNode(12));
(root.child[2].child).Add(newNode(77));
findlargest(root);
// Print the largest value
Console.Write(maximum.key);
}
}
// This code is contributed by 29AjayKumar
输出:
90
时间复杂度: O(N)
辅助空间: O(1)
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