计算给定树中权重数字总和为奇数的节点
给定一棵树,以及所有节点的权重,任务是计算权重之和为奇数的节点的数量。
示例:
输入: 输出:3 节点 1:digitSum(144)= 1 + 4 + 4 = 9 节点 2: digitSum(1234)= 1 + 2 + 3 + 4 = 10 节点 3:digitSum(21)= 2 + 1 = 3 节点 4:digitSum(5)= 5 节点 5:digitSum( 77)= 7 + 7 = 14 只有节点 1、3 和 4 的权重的数字总和是奇数。
方法:在树上执行 dfs ,对于每个节点,检查其权重的数字总和是否为奇数。 如果是,则增加计数。
下面是上述方法的实现:
C++
// C++ implementation of the approach
#include <bits/stdc++.h>
using namespace std;
int ans = 0;
vector<int> graph[100];
vector<int> weight(100);
// Function to return the
// sum of the digits of n
int digitSum(int n)
{
int sum = 0;
while (n) {
sum += n % 10;
n = n / 10;
}
return sum;
}
// Function to perform dfs
void dfs(int node, int parent)
{
// If sum of the digits of current node's
// weight is odd then increment ans
int sum = digitSum(weight[node]);
if (sum % 2 == 1)
ans += 1;
for (int to : graph[node]) {
if (to == parent)
continue;
dfs(to, node);
}
}
// Driver code
int main()
{
// Weights of the node
weight[1] = 144;
weight[2] = 1234;
weight[3] = 21;
weight[4] = 5;
weight[5] = 77;
// Edges of the tree
graph[1].push_back(2);
graph[2].push_back(3);
graph[2].push_back(4);
graph[1].push_back(5);
dfs(1, 1);
cout << ans;
return 0;
}
Java
// Java implementation of the approach
import java.util.*;
class GFG
{
static int ans = 0;
static Vector<Integer>[] graph = new Vector[100];
static Integer[] weight = new Integer[100];
// Function to return the
// sum of the digits of n
static int digitSum(int n)
{
int sum = 0;
while (n > 0)
{
sum += n % 10;
n = n / 10;
}
return sum;
}
// Function to perform dfs
static void dfs(int node, int parent)
{
// If sum of the digits of current node's
// weight is odd then increment ans
int sum = digitSum(weight[node]);
if (sum % 2 == 1)
ans += 1;
for (int to : graph[node])
{
if (to == parent)
continue;
dfs(to, node);
}
}
// Driver code
public static void main(String[] args)
{
for (int i = 0; i < 100; i++)
graph[i] = new Vector<Integer>();
// Weights of the node
weight[1] = 144;
weight[2] = 1234;
weight[3] = 21;
weight[4] = 5;
weight[5] = 77;
// Edges of the tree
graph[1].add(2);
graph[2].add(3);
graph[2].add(4);
graph[1].add(5);
dfs(1, 1);
System.out.print(ans);
}
}
// This code is contributed by Rajput-Ji
Python
# Python3 implementation of the approach
ans = 0
graph = [[] for i in range(100)]
weight = [0] * 100
# Function to return the
# sum of the digits of n
def digitSum(n):
sum = 0
while (n):
sum += n % 10
n = n // 10
return sum
# Function to perform dfs
def dfs(node, parent):
global ans
# If sum of the digits of current node's
# weight is odd then increment ans
sum = digitSum(weight[node])
if (sum % 2 == 1):
ans += 1
for to in graph[node]:
if (to == parent):
continue
dfs(to, node)
# Driver code
# Weights of the node
weight[1] = 144
weight[2] = 1234
weight[3] = 21
weight[4] = 5
weight[5] = 77
# Edges of the tree
graph[1].append(2)
graph[2].append(3)
graph[2].append(4)
graph[1].append(5)
dfs(1, 1)
print(ans)
# This code is contributed by SHUBHAMSINGH10
C
// C# implementation of the approach
using System;
using System.Collections.Generic;
class GFG
{
static int ans = 0;
static List<int>[] graph = new List<int>[100];
static int[] weight = new int[100];
// Function to return the
// sum of the digits of n
static int digitSum(int n)
{
int sum = 0;
while (n > 0)
{
sum += n % 10;
n = n / 10;
}
return sum;
}
// Function to perform dfs
static void dfs(int node, int parent)
{
// If sum of the digits of current node's
// weight is odd then increment ans
int sum = digitSum(weight[node]);
if (sum % 2 == 1)
ans += 1;
foreach (int to in graph[node])
{
if (to == parent)
continue;
dfs(to, node);
}
}
// Driver code
public static void Main(String[] args)
{
for (int i = 0; i < 100; i++)
graph[i] = new List<int>();
// Weights of the node
weight[1] = 144;
weight[2] = 1234;
weight[3] = 21;
weight[4] = 5;
weight[5] = 77;
// Edges of the tree
graph[1].Add(2);
graph[2].Add(3);
graph[2].Add(4);
graph[1].Add(5);
dfs(1, 1);
Console.Write(ans);
}
}
// This code is contributed by PrinciRaj1992
Output:
3
复杂度分析:
-
时间复杂度:
O(N)
。在 DFS 中,树的每个节点都处理一次,因此对于树中的 N 个节点,由于 dfs 而导致的复杂度为
O(N)
。 因此,时间复杂度为O(N)
。 -
辅助空间:
O(1)
。不需要任何额外的空间,因此空间复杂度是恒定的。
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