给定一个长度为N的数组arr[] ,任务是为每个数组元素arr[i]找到最长的子数组,其中包含 arr[i] 作为最大值。
例子:
Input: arr[] = {1, 2, 3, 0, 1}
Output: 1 2 5 1 2
Explanation:
The longest subarray having arr[0] as the largest is {1}
The longest subarray having arr[1] as the largest is {1, 2}
The longest subarray having arr[2] as the largest is {1, 2, 3, 0, 1}
The longest subarray having arr[3] as the largest is {0}
The longest subarray having arr[4 as the largest is {0, 1}
Input: arr[] = {3, 3, 3, 1, 6, 2}
Output: 4 4 4 1 6 1
方法:思路是使用Two Pointer技术来解决问题:
- 初始化两个指针, left和right 。使得对于每个元素arr[i] ,左侧指向索引[i – 1, 0]以连续方式查找小于或等于 arr[i] 的元素。一旦找到大于arr[i]的元素,指针就会停止。
- 类似地, right指向索引[i + 1, n – 1]以连续方式查找小于或等于arr[i] 的元素,并在找到任何大于 arr[i] 的元素时停止。
- 因此, arr[i]最大的最大连续子数组的长度为1 + right – left 。
- 对每个数组元素重复上述步骤。
下面是上述方法的实现:
C++
// C++ Program to implement
// the above approach
#include
using namespace std;
// Function to find the maximum length of
// Subarrays for each element of the array
// having it as the maximum
void solve(int n, int arr[])
{
int i, ans = 0;
for (i = 0; i < n; i++) {
// Initialize the bounds
int left = max(i - 1, 0);
int right = min(n - 1, i + 1);
// Iterate to find greater
// element on the left
while (left >= 0) {
// If greater element is found
if (arr[left] > arr[i]) {
left++;
break;
}
// Decrement left pointer
left--;
}
// If boundary is exceeded
if (left < 0)
left++;
// Iterate to find greater
// element on the right
while (right < n) {
// If greater element is found
if (arr[right] > arr[i]) {
right--;
break;
}
// Increment right pointer
right++;
}
// If boundary is exceeded
if (right >= n)
right--;
// Length of longest subarray where
// arr[i] is the largest
ans = 1 + right - left;
// Print the answer
cout << ans << " ";
}
}
// Driver Code
int main()
{
int arr[] = { 4, 2, 1 };
int n = sizeof arr / sizeof arr[0];
solve(n, arr);
return 0;
}
Java
// Java Program to implement
// the above approach
import java.util.*;
class GFG{
// Function to find the maximum length of
// Subarrays for each element of the array
// having it as the maximum
static void solve(int n, int arr[])
{
int i, ans = 0;
for (i = 0; i < n; i++)
{
// Initialize the bounds
int left = Math.max(i - 1, 0);
int right = Math.min(n - 1, i + 1);
// Iterate to find greater
// element on the left
while (left >= 0)
{
// If greater element is found
if (arr[left] > arr[i])
{
left++;
break;
}
// Decrement left pointer
left--;
}
// If boundary is exceeded
if (left < 0)
left++;
// Iterate to find greater
// element on the right
while (right < n)
{
// If greater element is found
if (arr[right] > arr[i])
{
right--;
break;
}
// Increment right pointer
right++;
}
// If boundary is exceeded
if (right >= n)
right--;
// Length of longest subarray where
// arr[i] is the largest
ans = 1 + right - left;
// Print the answer
System.out.print(ans + " ");
}
}
// Driver Code
public static void main(String[] args)
{
int arr[] = { 4, 2, 1 };
int n = arr.length;
solve(n, arr);
}
}
// This code is contributed by Rajput-Ji
Python3
# Python3 program to implement
# the above approach
# Function to find the maximum length of
# Subarrays for each element of the array
# having it as the maximum
def solve(n, arr):
ans = 0
for i in range(n):
# Inititalise the bounds
left = max(i - 1, 0)
right = min(n - 1, i + 1)
# Iterate to find greater
# element on the left
while left >= 0:
# If greater element is found
if arr[left] > arr[i]:
left += 1
break
# Decrement left pointer
left -= 1
# If boundary is exceeded
if left < 0:
left += 1
# Iterate to find greater
# element on the right
while right < n:
# If greater element is found
if arr[right] > arr[i]:
right -= 1
break
# Increment right pointer
right += 1
# if boundary is exceeded
if right >= n:
right -= 1
# Length of longest subarray where
# arr[i] is the largest
ans = 1 + right - left
# Print the answer
print(ans, end = " ")
# Driver code
arr = [ 4, 2, 1 ]
n = len(arr)
solve(n, arr)
# This code is contributed by Stuti Pathak
C#
// C# Program to implement
// the above approach
using System;
class GFG{
// Function to find the maximum length of
// Subarrays for each element of the array
// having it as the maximum
static void solve(int n, int []arr)
{
int i, ans = 0;
for (i = 0; i < n; i++)
{
// Initialize the bounds
int left = Math.Max(i - 1, 0);
int right = Math.Min(n - 1, i + 1);
// Iterate to find greater
// element on the left
while (left >= 0)
{
// If greater element is found
if (arr[left] > arr[i])
{
left++;
break;
}
// Decrement left pointer
left--;
}
// If boundary is exceeded
if (left < 0)
left++;
// Iterate to find greater
// element on the right
while (right < n)
{
// If greater element is found
if (arr[right] > arr[i])
{
right--;
break;
}
// Increment right pointer
right++;
}
// If boundary is exceeded
if (right >= n)
right--;
// Length of longest subarray where
// arr[i] is the largest
ans = 1 + right - left;
// Print the answer
Console.Write(ans + " ");
}
}
// Driver Code
public static void Main(String[] args)
{
int []arr = { 4, 2, 1 };
int n = arr.Length;
solve(n, arr);
}
}
// This code is contributed by Princi Singh
Javascript
输出:
3 2 1
时间复杂度: O(N 2 )
辅助空间: O(1)
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