打印二进制堆的所有叶子节点

给定一个N个元素的数组，该数组表示二进制堆的数组表示形式，任务是查找此二进制堆的叶节点。

例子：

Input: 
arr[] = {1, 2, 3, 4, 5, 6, 7}
Output: 4 5 6 7
Explanation:
             1
           /   \
          2     3
         / \   / \
        4   5 6   7
Leaf nodes of the Binary Heap are:
4 5 6 7
         
Input: 
arr[] = {1, 2, 3, 4, 5,
         6, 7, 8, 9, 10}
Output: 6 7 8 9 10
Explanation:
                1
             /     \
            2       3
          /   \    / \
         4      5 6   7
       /   \   /
      8     9 10
Leaf Nodes of the Binary Heap are:
6 7 8 9 10

方法：该问题的主要观察结果是，如果H是二进制堆的高度，则二进制堆的每个叶节点都将位于高度H或H -1 。因此，叶节点可以如下计算：

• 计算二进制堆的总高度。
• 以相反的顺序遍历数组，并将每个节点的高度与Binary Heap的计算高度H进行比较。
• 如果当前节点的高度为H，则将当前节点添加到叶节点。
• 否则，如果当前节点的高度为H-1并且没有子节点，则还将该节点添加为叶节点。

下面是上述方法的实现：

Java

// Java implementation to print
// the leaf nodes of a Binary Heap
  
import java.lang.*;
import java.util.*;
class GFG {
  
    // Function to calculate height
    // of the Binary heap with given
    // the count of the nodes
    static int height(int N)
    {
        return (int)Math.ceil(
                   Math.log(N + 1)
                   / Math.log(2))
            - 1;
    }
  
    // Function to find the leaf
    // nodes of binary heap
    static void findLeafNodes(
        int arr[], int n)
    {
        // Calculate the height of
        // the complete binary tree
        int h = height(n);
  
        ArrayList arrlist
            = new ArrayList<>();
  
        for (int i = n - 1; i >= 0; i--) {
            if (height(i + 1) == h) {
                arrlist.add(arr[i]);
            }
            else if (height(i + 1) == h - 1
                     && n <= ((2 * i) + 1)) {
  
                // if the height if h-1,
                // then there should not
                // be any child nodes
                arrlist.add(arr[i]);
            }
            else {
                break;
            }
        }
        printLeafNodes(arrlist);
    }
  
    // Function to print the leaf nodes
    static void printLeafNodes(
        ArrayList arrlist)
    {
        for (int i = arrlist.size() - 1;
             i >= 0; i--) {
            System.out.print(
                arrlist.get(i) + " ");
        }
    }
  
    // Driver Code
    public static void main(String[] args)
    {
        int arr[] = { 1, 2, 3, 4, 5,
                      6, 7, 8, 9, 10 };
        findLeafNodes(arr, arr.length);
    }
}

C#

// C# implementation to print
// the leaf nodes of a Binary Heap
using System;
using System.Collections.Generic;
class GFG{
  
// Function to calculate height
// of the Binary heap with given
// the count of the nodes
static int height(int N)
{
    return (int)Math.Ceiling(
                Math.Log(N + 1) /
                Math.Log(2)) - 1;
}
  
// Function to find the leaf
// nodes of binary heap
static void findLeafNodes(int []arr, 
                          int n)
{
    // Calculate the height of
    // the complete binary tree
    int h = height(n);
  
    List arrlist = new List();
  
    for (int i = n - 1; i >= 0; i--) 
    {
        if (height(i + 1) == h)
        {
            arrlist.Add(arr[i]);
        }
        else if (height(i + 1) == h - 1 && 
                 n <= ((2 * i) + 1)) 
        {
  
            // if the height if h-1,
            // then there should not
            // be any child nodes
            arrlist.Add(arr[i]);
        }
        else
        {
            break;
        }
    }
    printLeafNodes(arrlist);
}
  
// Function to print the leaf nodes
static void printLeafNodes(List arrlist)
{
    for (int i = arrlist.Count - 1; i >= 0; i--) 
    {
        Console.Write(arrlist[i] + " ");
    }
}
  
// Driver Code
public static void Main(String[] args)
{
    int []arr = { 1, 2, 3, 4, 5,
                  6, 7, 8, 9, 10 };
    findLeafNodes(arr, arr.Length);
}
}
  
// This code is contributed by Princi Singh

输出：

6 7 8 9 10

性能分析：

• 时间复杂度： O(L)，其中L是叶节点的数量。
• 辅助空间： O(1)