给定一个由N 个不同整数组成的数组arr[] ,任务是找到区间[L, R] 中的最大元素,使得该区间恰好包含给定N 个整数之一,并且1 ≤ L ≤ R ≤ 10 5
Input: arr[] = {5, 10, 200}
Output: 99990
All possible intervals are [1, 9], [6, 199] and [11, 100000].
[11, 100000] has the maximum integers i.e. 99990.
Input: arr[] = {15000, 25000, 40000, 70000, 80000}
Output: 44999
方法:这个想法是修复我们希望我们的间隔包含的元素。现在我们感兴趣的是我们可以在不与其他元素重叠的情况下将我们的间隔向左和向右扩展多少。
所以,我们首先对我们的数组进行排序。然后对于固定元素,我们使用前一个和下一个元素确定其端点。我们还应该处理我们修复第一个和最后一个间隔时的极端情况。这样对于每个元素 i,我们找到了间隔的最大长度。
下面是上述方法的实现:
CPP
// C++ implementation of the approach
#include
using namespace std;
// Function to return the maximum
// size of the required interval
int maxSize(vector& v, int n)
{
// Insert the borders for array
v.push_back(0);
v.push_back(100001);
n += 2;
// Sort the elements in ascending order
sort(v.begin(), v.end());
// To store the maximum size
int mx = 0;
for (int i = 1; i < n - 1; i++) {
// To store the range [L, R] such that
// only v[i] lies within the range
int L = v[i - 1] + 1;
int R = v[i + 1] - 1;
// Total integers in the range
int cnt = R - L + 1;
mx = max(mx, cnt);
}
return mx;
}
// Driver code
int main()
{
vector v = { 200, 10, 5 };
int n = v.size();
cout << maxSize(v, n);
return 0;
}
Java
// Java implementation of the approach
import static java.lang.Integer.max;
import java.util.*;
class GFG
{
// Function to return the maximum
// size of the required interval
static int maxSize(Vector v, int n)
{
// Insert the borders for array
v.add(0);
v.add(100001);
n += 2;
// Sort the elements in ascending order
Collections.sort(v);
// To store the maximum size
int mx = 0;
for (int i = 1; i < n - 1; i++)
{
// To store the range [L, R] such that
// only v[i] lies within the range
int L = v.get(i - 1) + 1;
int R = v.get(i + 1) - 1;
// Total integers in the range
int cnt = R - L + 1;
mx = max(mx, cnt);
}
return mx;
}
// Driver code
public static void main(String[] args)
{
Integer arr[] = {200, 10, 5};
Vector v = new Vector(Arrays.asList(arr));
int n = v.size();
System.out.println(maxSize(v, n));
}
}
// This code is contributed by Princi Singh
Python
# Python3 implementation of the approach
# Function to return the maximum
# size of the required interval
def maxSize(v, n):
# Insert the borders for array
v.append(0)
v.append(100001)
n += 2
# Sort the elements in ascending order
v = sorted(v)
# To store the maximum size
mx = 0
for i in range(1, n - 1):
# To store the range [L, R] such that
# only v[i] lies within the range
L = v[i - 1] + 1
R = v[i + 1] - 1
# Total integers in the range
cnt = R - L + 1
mx = max(mx, cnt)
return mx
# Driver code
v = [ 200, 10, 5]
n = len(v)
print(maxSize(v, n))
# This code is contributed by mohit kumar 29
C#
// C# implementation of the approach
using System;
using System.Collections.Generic;
class GFG
{
// Function to return the maximum
// size of the required interval
static int maxSize(List v, int n)
{
// Insert the borders for array
v.Add(0);
v.Add(100001);
n += 2;
// Sort the elements in ascending order
v.Sort();
// To store the maximum size
int mx = 0;
for (int i = 1; i < n - 1; i++)
{
// To store the range [L, R] such that
// only v[i] lies within the range
int L = v[i - 1] + 1;
int R = v[i + 1] - 1;
// Total integers in the range
int cnt = R - L + 1;
mx = Math.Max(mx, cnt);
}
return mx;
}
// Driver code
public static void Main(String[] args)
{
int []arr = {200, 10, 5};
List v = new List(arr);
int n = v.Count;
Console.WriteLine(maxSize(v, n));
}
}
// This code is contributed by 29AjayKumar
Javascript
输出:
99990
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