包含 Q 查询的给定元素 X 的数组中的最大间隔
给定一个由 N 元素和 Q 查询组成的【X】数组arr[]。对于每个查询,任务是找到数组的最大区间【L,R】,使得区间中最大的元素为arr【X】,使得 1 ≤ L ≤ X ≤ R 。 注意:数组有基于 1 的索引。
示例:
输入: N = 5,arr[] = {2,1,2,3,2},Q = 3,query[] = {1,2,4} 输出: 【1,3】 【2,2】 【1,5】 说明: 在第一次查询中,x = 1,所以 arr[x] = 2,答案为 L = 1,R = 3。在这里,我们可以看到 max(arr[1],arr[2],arr[3]) = arr[x],这是最大间隔。 在第二个查询中,x = 2,所以 arr[x] = 1,由于它是数组中最小的元素,所以区间只包含一个元素,因此范围为[2,2]。 第三次查询,x = 4,所以 arr[x] = 4,这是 arr[]的最大元素,所以答案是全数组,L = 1,R = N。
输入: N = 4,arr[] = { 1,2,2,4},Q = 2,query[] = {1,2} 输出: 【1,1】 【1,3】 解释: 在第一次查询中,x = 1,所以 arr[x] = 1 并且由于它是数组中最小的元素,所以区间只包含一个元素,因此范围为[1,1]。 第二次查询,x = 2,所以 arr[x] = 2,答案是 L = 1,R = 3。在这里,我们可以看到 max(arr[1],arr[2],arr[3]) = arr[x] = arr[2] = 2,这是最大间隔。
方法:思路是预计算arr【】中从 1 到 N 的每个值 K 的最大区间。以下是步骤:
- 对于arr【】中的每个元素 K ,固定元素 K 的索引,然后找出我们可以将间隔扩展到它的左右多少。
- 递减左迭代器直到 arr【左】≤ K ,类似地递增右迭代器直到 arr【右】≤ K 。
- 左右的最终值代表区间的开始和结束索引,分别存储在 arrL[] 和 arrR[] 中。
- 在我们预先计算了每个值的区间范围之后。然后,对于每个查询,我们需要打印 arr[x] 的间隔范围,即 arrL[arr[x]] 和 arrR[arr[x]] 。
下面是上述方法的实现:
C++
// C++ program for the above approach
#include <bits/stdc++.h>
using namespace std;
// Function to precompute the interval
// for each query
void utilLargestInterval(int arr[],
int arrL[],
int arrR[],
int N)
{
// For every values [1, N] find
// the longest intervals
for (int maxValue = 1;
maxValue <= N; maxValue++) {
int lastIndex = 0;
// Iterate the array arr[]
for (int i = 1; i <= N; i++) {
if (lastIndex >= i
|| arr[i] != maxValue)
continue;
int left = i, right = i;
// Shift the left pointers
while (left > 0
&& arr[left] <= maxValue)
left--;
// Shift the right pointers
while (right <= N
&& arr[right] <= maxValue)
right++;
left++, right--;
lastIndex = right;
// Store the range of interval
// in arrL[] and arrR[].
for (int j = left; j <= right; j++) {
if (arr[j] == maxValue) {
arrL[j] = left;
arrR[j] = right;
}
}
}
}
}
// Function to find the largest interval
// for each query in Q[]
void largestInterval(
int arr[], int query[], int N, int Q)
{
// To store the L and R of X
int arrL[N + 1], arrR[N + 1];
// Function Call
utilLargestInterval(arr, arrL,
arrR, N);
// Iterate to find ranges for each query
for (int i = 0; i < Q; i++) {
cout << "[" << arrL[query[i]]
<< ", " << arrR[query[i]]
<< "]\n";
}
}
// Driver Code
int main()
{
int N = 5, Q = 3;
// Given array arr[]
int arr[N + 1] = { 0, 2, 1, 2, 3, 2 };
// Given Queries
int query[Q] = { 1, 2, 4 };
// Function Call
largestInterval(arr, query, N, Q);
return 0;
}
Java 语言(一种计算机语言,尤用于创建网站)
// Java program for the above approach
class GFG{
// Function to precompute the interval
// for each query
static void utilLargestInterval(int arr[],
int arrL[],
int arrR[],
int N)
{
// For every values [1, N] find
// the longest intervals
for(int maxValue = 1;
maxValue <= N; maxValue++)
{
int lastIndex = 0;
// Iterate the array arr[]
for(int i = 1; i <= N; i++)
{
if (lastIndex >= i ||
arr[i] != maxValue)
continue;
int left = i, right = i;
// Shift the left pointers
while (left > 0 &&
arr[left] <= maxValue)
left--;
// Shift the right pointers
while (right <= N &&
arr[right] <= maxValue)
right++;
left++;
right--;
lastIndex = right;
// Store the range of interval
// in arrL[] and arrR[].
for(int j = left; j <= right; j++)
{
if (arr[j] == maxValue)
{
arrL[j] = left;
arrR[j] = right;
}
}
}
}
}
// Function to find the largest interval
// for each query in Q[]
static void largestInterval(int arr[],
int query[],
int N, int Q)
{
// To store the L and R of X
int []arrL = new int[N + 1];
int []arrR = new int[N + 1];
// Function Call
utilLargestInterval(arr, arrL,
arrR, N);
// Iterate to find ranges for
// each query
for(int i = 0; i < Q; i++)
{
System.out.print("[" + arrL[query[i]] +
", " + arrR[query[i]] + "]\n");
}
}
// Driver Code
public static void main(String[] args)
{
int N = 5, Q = 3;
// Given array arr[]
int arr[] = { 0, 2, 1, 2, 3, 2 };
// Given queries
int query[] = { 1, 2, 4 };
// Function call
largestInterval(arr, query, N, Q);
}
}
// This code is contributed by Amit Katiyar
Python 3
# Python3 program for the above approach
# Function to precompute the interval
# for each query
def utilLargestInterval(arr, arrL, arrR, N):
# For every values [1, N] find
# the longest intervals
for maxValue in range(1, N + 1):
lastIndex = 0
# Iterate the array arr[]
for i in range(N + 1):
if (lastIndex >= i or
arr[i] != maxValue):
continue
left = i
right = i
# Shift the left pointers
while (left > 0 and
arr[left] <= maxValue):
left -= 1
# Shift the right pointers
while (right <= N and
arr[right] <= maxValue):
right += 1
left += 1
right -= 1
lastIndex = right
# Store the range of interval
# in arrL[] and arrR[].
for j in range(left, right + 1):
if (arr[j] == maxValue):
arrL[j] = left
arrR[j] = right
# Function to find the largest interval
# for each query in Q[]
def largestInterval(arr, query, N, Q):
# To store the L and R of X
arrL = [0 for i in range(N + 1)]
arrR = [0 for i in range(N + 1)]
# Function call
utilLargestInterval(arr, arrL, arrR, N);
# Iterate to find ranges for each query
for i in range(Q):
print('[' + str(arrL[query[i]]) +
', ' + str(arrR[query[i]]) + ']')
# Driver code
if __name__=="__main__":
N = 5
Q = 3
# Given array arr[]
arr = [ 0, 2, 1, 2, 3, 2 ]
# Given Queries
query = [ 1, 2, 4 ]
# Function call
largestInterval(arr, query, N, Q)
# This code is contributed by rutvik_56
C
// C# program for the above approach
using System;
class GFG{
// Function to precompute the interval
// for each query
static void utilLargestInterval(int []arr,
int []arrL,
int []arrR,
int N)
{
// For every values [1, N] find
// the longest intervals
for(int maxValue = 1;
maxValue <= N; maxValue++)
{
int lastIndex = 0;
// Iterate the array []arr
for(int i = 1; i <= N; i++)
{
if (lastIndex >= i ||
arr[i] != maxValue)
continue;
int left = i, right = i;
// Shift the left pointers
while (left > 0 &&
arr[left] <= maxValue)
left--;
// Shift the right pointers
while (right <= N &&
arr[right] <= maxValue)
right++;
left++;
right--;
lastIndex = right;
// Store the range of interval
// in arrL[] and arrR[].
for(int j = left; j <= right; j++)
{
if (arr[j] == maxValue)
{
arrL[j] = left;
arrR[j] = right;
}
}
}
}
}
// Function to find the largest interval
// for each query in Q[]
static void largestInterval(int []arr,
int []query,
int N, int Q)
{
// To store the L and R of X
int []arrL = new int[N + 1];
int []arrR = new int[N + 1];
// Function Call
utilLargestInterval(arr, arrL,
arrR, N);
// Iterate to find ranges for
// each query
for(int i = 0; i < Q; i++)
{
Console.Write("[" + arrL[query[i]] +
", " + arrR[query[i]] + "]\n");
}
}
// Driver Code
public static void Main(String[] args)
{
int N = 5, Q = 3;
// Given array []arr
int []arr = { 0, 2, 1, 2, 3, 2 };
// Given queries
int []query = { 1, 2, 4 };
// Function call
largestInterval(arr, query, N, Q);
}
}
// This code is contributed by Princi Singh
java 描述语言
<script>
// Javascript program for the above approach
// Function to precompute the interval
// for each query
function utilLargestInterval(arr, arrL, arrR, N)
{
// For every values [1, N] find
// the longest intervals
for (var maxValue = 1;
maxValue <= N; maxValue++) {
var lastIndex = 0;
// Iterate the array arr[]
for (var i = 1; i <= N; i++) {
if (lastIndex >= i
|| arr[i] != maxValue)
continue;
var left = i, right = i;
// Shift the left pointers
while (left > 0
&& arr[left] <= maxValue)
left--;
// Shift the right pointers
while (right <= N
&& arr[right] <= maxValue)
right++;
left++, right--;
lastIndex = right;
// Store the range of interval
// in arrL[] and arrR[].
for (var j = left; j <= right; j++) {
if (arr[j] == maxValue) {
arrL[j] = left;
arrR[j] = right;
}
}
}
}
}
// Function to find the largest interval
// for each query in Q[]
function largestInterval( arr, query, N, Q)
{
// To store the L and R of X
var arrL = Array(N+1).fill(0),arrR = Array(N+1).fill(0);
// Function Call
utilLargestInterval(arr, arrL,
arrR, N);
// Iterate to find ranges for each query
for (var i = 0; i < Q; i++) {
document.write( "[" + arrL[query[i]]
+ ", " + arrR[query[i]]
+ "]<br>");
}
}
// Driver Code
var N = 5, Q = 3;
// Given array arr[]
var arr = [0, 2, 1, 2, 3, 2];
// Given Queries
var query = [1, 2, 4];
// Function Call
largestInterval(arr, query, N, Q);
// This code is contributed by itsok.
</script>
Output:
[1, 3]
[2, 2]
[1, 5]
时间复杂度:O(Q+N2) 辅助空间: O(N)
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