给定 N 个立方体的边时每个人的最大立方体体积
给定一个由N个整数组成的数组,分别表示 N 个立方体结构的边。还给出了表示人口数量的M个整数。任务是找到可以给每个人的立方体的最大体积。
注意:立方体可以从任何 N 个立方体中切出任何形状。
例子:
Input: a[] = {1, 1, 1, 2, 2}, m = 3
Output: 4
All three people get a slice of volume 4 each
Person 1 gets a slice of volume 4 from the last cube.
Person 2 gets a slice of volume 4 from the last cube.
Person 3 gets a slice of volume 4 from the second last cube.
Input: a[] = {2, 2, 2, 2, 2}, m = 4
Output: 8
朴素方法:一种朴素的方法是首先计算所有立方体的体积,然后线性检查每个体积是否可以分布在所有 M 个人中,并找到所有这些体积中的最大体积。
时间复杂度: O(N 2 )
有效的方法:一种有效的方法是使用二分搜索来找到答案。由于数组中给出了边长,因此将它们转换为相应立方体的体积。在所有立方体的体积中找到最大的体积。说,最大音量是maxVolume 。现在,对范围 [0, maxVolume] 执行二进制搜索。
- 计算范围的中间值,比如中间值。
- 现在,计算所有体积为mid的立方体中可以切割的立方体总数。
- 如果可以切割的立方体总数超过人数,则可以为每个人切割该体积的立方体,因此我们在[mid+1, maxVolume]范围内检查更大的值。
- 如果总立方体不超过人数,那么我们检查[low, mid-1]范围内的答案。
下面是上述方法的实现:
C++
// C++ program to implement the above approach
#include
using namespace std;
// Function to get the maximum volume that
// every person can get
int getMaximumVloume(int a[], int n, int m)
{
int maxVolume = 0;
// Convert the length to respective volumes
// and find the maximum volumes
for (int i = 0; i < n; i++) {
a[i] = a[i] * a[i] * a[i];
maxVolume = max(a[i], maxVolume);
}
// Apply binary search with initial
// low as 0 and high as the maximum most
int low = 0, high = maxVolume;
// Initial answer is 0 slices
int maxVol = 0;
// Apply binary search
while (low <= high) {
// Get the mid element
int mid = (low + high) >> 1;
// Count the slices of volume mid
int cnt = 0;
for (int i = 0; i < n; i++) {
cnt += a[i] / mid;
}
// If the slices of volume
// exceeds the number of persons
// then every person can get volume mid
if (cnt >= m) {
// Then check for larger in the right half
low = mid + 1;
// Replace tbe answer with
// current maximum i.e., mid
maxVol = max(maxVol, mid);
}
// else traverse in the left half
else
high = mid - 1;
}
return maxVol;
}
// Driver code
int main()
{
int a[] = { 1, 1, 1, 2, 2 };
int n = sizeof(a) / sizeof(a[0]);
int m = 3;
cout << getMaximumVloume(a, n, m);
return 0;
}
Java
// Java program to implement the above approach
class GFG
{
// Function to get the maximum volume that
// every person can get
static int getMaximumVloume(int a[], int n, int m)
{
int maxVolume = 0;
// Convert the length to respective volumes
// and find the maximum volumes
for (int i = 0; i < n; i++)
{
a[i] = a[i] * a[i] * a[i];
maxVolume = Math.max(a[i], maxVolume);
}
// Apply binary search with initial
// low as 0 and high as the maximum most
int low = 0, high = maxVolume;
// Initial answer is 0 slices
int maxVol = 0;
// Apply binary search
while (low <= high)
{
// Get the mid element
int mid = (low + high) >> 1;
// Count the slices of volume mid
int cnt = 0;
for (int i = 0; i < n; i++)
{
cnt += a[i] / mid;
}
// If the slices of volume
// exceeds the number of persons
// then every person can get volume mid
if (cnt >= m)
{
// Then check for larger in the right half
low = mid + 1;
// Replace tbe answer with
// current maximum i.e., mid
maxVol = Math.max(maxVol, mid);
}
// else traverse in the left half
else
{
high = mid - 1;
}
}
return maxVol;
}
// Driver code
public static void main(String[] args)
{
int a[] = {1, 1, 1, 2, 2};
int n = a.length;
int m = 3;
System.out.println(getMaximumVloume(a, n, m));
}
}
// This code is contributed by 29AjayKumar
Python3
# Python 3 program to implement
# the above approach
# Function to get the maximum volume
# that every person can get
def getMaximumVloume(a, n, m):
maxVolume = 0
# Convert the length to respective
# volumes and find the maximum volumes
for i in range(n):
a[i] = a[i] * a[i] * a[i]
maxVolume = max(a[i], maxVolume)
# Apply binary search with initial
# low as 0 and high as the maximum most
low = 0
high = maxVolume
# Initial answer is 0 slices
maxVol = 0
# Apply binary search
while (low <= high):
# Get the mid element
mid = (low + high) >> 1
# Count the slices of volume mid
cnt = 0
for i in range(n):
cnt += int(a[i] / mid)
# If the slices of volume
# exceeds the number of persons
# then every person can get volume mid
if (cnt >= m):
# Then check for larger in the right half
low = mid + 1
# Replace tbe answer with
# current maximum i.e., mid
maxVol = max(maxVol, mid)
# else traverse in the left half
else:
high = mid - 1
return maxVol
# Driver code
if __name__ == '__main__':
a = [1, 1, 1, 2, 2]
n = len(a)
m = 3
print(getMaximumVloume(a, n, m))
# This code is contributed
# by Surendra_Gangwar
C#
// C# program to implement the above approach
using System;
class GFG
{
// Function to get the maximum volume that
// every person can get
static int getMaximumVloume(int []a, int n, int m)
{
int maxVolume = 0;
// Convert the length to respective volumes
// and find the maximum volumes
for (int i = 0; i < n; i++)
{
a[i] = a[i] * a[i] * a[i];
maxVolume = Math.Max(a[i], maxVolume);
}
// Apply binary search with initial
// low as 0 and high as the maximum most
int low = 0, high = maxVolume;
// Initial answer is 0 slices
int maxVol = 0;
// Apply binary search
while (low <= high)
{
// Get the mid element
int mid = (low + high) >> 1;
// Count the slices of volume mid
int cnt = 0;
for (int i = 0; i < n; i++)
{
cnt += a[i] / mid;
}
// If the slices of volume
// exceeds the number of persons
// then every person can get volume mid
if (cnt >= m)
{
// Then check for larger in the right half
low = mid + 1;
// Replace tbe answer with
// current maximum i.e., mid
maxVol = Math.Max(maxVol, mid);
}
// else traverse in the left half
else
{
high = mid - 1;
}
}
return maxVol;
}
// Driver code
public static void Main(String[] args)
{
int []a = {1, 1, 1, 2, 2};
int n = a.Length;
int m = 3;
Console.WriteLine(getMaximumVloume(a, n, m));
}
}
/* This code contributed by PrinciRaj1992 */
PHP
> 1;
// Count the slices of volume mid
$cnt = 0;
for ($i = 0; $i < $n; $i++)
{
$cnt += (int)($a[$i] / $mid);
}
// If the slices of volume
// exceeds the number of persons
// then every person can get volume mid
if ($cnt >= $m)
{
// Then check for larger in the right half
$low = $mid + 1;
// Replace tbe answer with
// current maximum i.e., mid
$maxVol = max($maxVol, $mid);
}
// else traverse in the left half
else
$high = $mid - 1;
}
return $maxVol;
}
// Driver code
$a = array(1, 1, 1, 2, 2);
$n = sizeof($a);
$m = 3;
echo getMaximumVloume($a, $n, $m);
// This code is contributed by Akanksha Rai
?>
Javascript
4
时间复杂度: O(N * log (maxVolume))