给定一个数字N ,任务是找到四元组的数量,使得a 2 + b 2 = c 2 + d 2其中 (1 <= a, b, c, d <= N)。
例子:
Input: N = 2
Output: 6
Explanation:
There are 6 valid quadraples (1, 1, 1, 1), (1, 2, 1, 2), (1, 2, 2, 1), (2, 1, 1, 2), (2, 1, 2, 1), (2, 2, 2, 2).
Input: N = 4
Output 28
Explanation:
There are 28 valid quadraples for N = 4.
朴素的方法:朴素的方法是在[1, N]范围内使用 4 个嵌套循环并计算这些四元组(a, b, c, d) 的数量,使得a 2 + b 2 = c 2 + d 2
时间复杂度: O(N 4 )
辅助空间: O(1)
高效的方法而不是朴素的方法:可以使用一些数学方法在时间复杂度方面降低上述解决方案。找到四元组,使得 a 2 + b 2 = c 2 + d 2 。
a2 + b2 = c2 + d2
a2 + b2 – c2 = d2
Taking square root on both sides
(a2 + b2 – c2)1/2 = d
通过使用上面的公式,我们可以得出结论,只有当 (a 2 + b 2 – c 2 ) 1/2是正整数时, d 才存在。
时间复杂度: O(N 3 )
高效的方法:这个想法是使用Hashing 。以下是步骤:
- 遍历[1, N]上的所有对(例如(a, b) )并将a 2 + b 2的值与其出现在 Map 中。
- 迭代所有对[1, N]并且如果总和存在于地图上,则计算存储在地图上的每对的总和。
- 打印计数。
下面是该方法的实现:
C++
// C++ program for the above approach
#include
using namespace std;
typedef long long int ll;
// Function to count the quadruples
ll countQuadraples(ll N)
{
// Counter variable
ll cnt = 0;
// Map to store the
// sum of pair (a^2 + b^2)
map m;
// Iterate till N
for (ll a = 1; a <= N; a++) {
for (ll b = 1; b <= N; b++) {
// Calculate a^2 + b^2
ll x = a * a + b * b;
// Increment the value in map
m[x] += 1;
}
}
for (ll c = 1; c <= N; c++) {
for (ll d = 1; d <= N; d++) {
ll x = c * c + d * d;
// Check if this sum
// was also in a^2 + b^2
if (m.find(x) != m.end())
cnt += m[x];
}
}
// Return the count
return cnt;
}
// Driver Code
int main()
{
// Given N
ll N = 2;
// Function Call
cout << countQuadraples(N)
<< endl;
return 0;
}
Java
// Java program for the above approach
import java.util.*;
class GFG{
// Function to count the quadruples
static long countQuadraples(long N)
{
// Counter variable
long cnt = 0;
// Map to store the
// sum of pair (a^2 + b^2)
Map m = new HashMap<>();
// Iterate till N
for(long a = 1; a <= N; a++)
{
for(long b = 1; b <= N; b++)
{
// Calculate a^2 + b^2
long x = a * a + b * b;
// Increment the value in map
m.put(x, m.getOrDefault(x, 0l) + 1);
}
}
for(long c = 1; c <= N; c++)
{
for(long d = 1; d <= N; d++)
{
long x = c * c + d * d;
// Check if this sum
// was also in a^2 + b^2
if (m.containsKey(x))
cnt += m.get(x);
}
}
// Return the count
return cnt;
}
// Driver code
public static void main(String[] args)
{
// Given N
long N = 2;
// Function call
System.out.println(countQuadraples(N));
}
}
// This code is contributed by offbeat
Python3
# Python3 program for
# the above approach
from collections import defaultdict
# Function to count
# the quadruples
def countQuadraples(N):
# Counter variable
cnt = 0
# Map to store the
# sum of pair (a^2 + b^2)
m = defaultdict (int)
# Iterate till N
for a in range (1, N + 1):
for b in range (1, N + 1):
# Calculate a^2 + b^2
x = a * a + b * b
# Increment the value in map
m[x] += 1
for c in range (1, N + 1):
for d in range (1, N + 1):
x = c * c + d * d
# Check if this sum
# was also in a^2 + b^2
if x in m:
cnt += m[x]
# Return the count
return cnt
# Driver Code
if __name__ == "__main__":
# Given N
N = 2
# Function Call
print (countQuadraples(N))
# This code is contributed by Chitranayal
C#
// C# program for the above approach
using System;
using System.Collections.Generic;
class GFG{
// Function to count the quadruples
static long countQuadraples(long N)
{
// Counter variable
long cnt = 0;
// Map to store the
// sum of pair (a^2 + b^2)
Dictionary m = new Dictionary();
// Iterate till N
for(long a = 1; a <= N; a++)
{
for(long b = 1; b <= N; b++)
{
// Calculate a^2 + b^2
long x = a * a + b * b;
// Increment the value in map
if (m.ContainsKey(x))
m[x] = m[x] + 1;
else
m.Add(x, 1);
}
}
for(long c = 1; c <= N; c++)
{
for(long d = 1; d <= N; d++)
{
long x = c * c + d * d;
// Check if this sum
// was also in a^2 + b^2
if (m.ContainsKey(x))
cnt += m[x];
}
}
// Return the count
return cnt;
}
// Driver code
public static void Main(String[] args)
{
// Given N
long N = 2;
// Function call
Console.WriteLine(countQuadraples(N));
}
}
// This code is contributed by Amit Katiyar
Javascript
6
时间复杂度: O(N 2 log N)
辅助空间: O(N)