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Największy iloczyn podtablicy o rozmiarze k

Wypróbuj w praktyce GfG ' title= #practiceLinkDiv { display: none !important; }

Biorąc pod uwagę tablicę składającą się z n dodatnich liczb całkowitych i liczby całkowitej k. Znajdź największą podtablicę iloczynów o rozmiarze k, tj. znajdź maksymalną produkcję k sąsiadujących elementów w tablicy, gdzie k<= n.
Przykłady:  

    Input:    arr[] = {1 5 9 8 2 4  
1 8 1 2}
k = 6
Output: 4608
The subarray is {9 8 2 4 1 8}
Input: arr[] = {1 5 9 8 2 4 1 8 1 2}
k = 4
Output: 720
The subarray is {5 9 8 2}
Input: arr[] = {2 5 8 1 1 3};
k = 3
Output: 80
The subarray is {2 5 8}
Recommended Practice Największy produkt Spróbuj!

Podejście brutalnej siły:



Python drukuje z dokładnością do 2 miejsc po przecinku

Iterujemy po wszystkich podtablicach o rozmiarze k, używając dwóch zagnieżdżonych pętli. Zewnętrzna pętla biegnie od 0 do n-k, a wewnętrzna pętla biegnie od i do i+k-1. Obliczamy iloczyn każdej podtablicy i aktualizujemy maksymalny znaleziony do tej pory produkt. Na koniec zwracamy maksymalny produkt.

Oto kroki powyższego podejścia:

  1. Zainicjuj zmienną maxProduct na INT_MIN, która reprezentuje najmniejszą możliwą wartość całkowitą.
  2. Wykonaj iterację po wszystkich podtablicach o rozmiarze k, używając dwóch zagnieżdżonych pętli.
  3. Zewnętrzna pętla biegnie od 0 do n-k.
  4. Wewnętrzna pętla biegnie od i do i+k-1, gdzie i jest początkowym indeksem podtablicy.
  5. Oblicz iloczyn bieżącego podtablicy za pomocą pętli wewnętrznej.
  6. Jeśli produkt jest większy niż maxProduct, zaktualizuj maxProduct do bieżącego produktu.
  7. Jako wynik zwróć maxProduct.

Poniżej znajduje się kod powyższego podejścia:



C++
// C++ program to find the maximum product of a subarray // of size k. #include    using namespace std; // This function returns maximum product of a subarray // of size k in given array arr[0..n-1]. This function // assumes that k is smaller than or equal to n. int findMaxProduct(int arr[] int n int k) {  int maxProduct = INT_MIN;  for (int i = 0; i <= n - k; i++) {  int product = 1;  for (int j = i; j < i + k; j++) {  product *= arr[j];  }  maxProduct = max(maxProduct product);  }  return maxProduct; } // Driver code int main() {  int arr1[] = {1 5 9 8 2 4 1 8 1 2};  int k = 6;  int n = sizeof(arr1)/sizeof(arr1[0]);  cout << findMaxProduct(arr1 n k) << endl;  k = 4;  cout << findMaxProduct(arr1 n k) << endl;  int arr2[] = {2 5 8 1 1 3};  k = 3;  n = sizeof(arr2)/sizeof(arr2[0]);  cout << findMaxProduct(arr2 n k);  return 0; } 
Java
import java.util.Arrays; public class Main {  // This function returns the maximum product of a subarray of size k in the given array  // It assumes that k is smaller than or equal to the length of the array.  static int findMaxProduct(int[] arr int n int k) {  int maxProduct = Integer.MIN_VALUE;  for (int i = 0; i <= n - k; i++) {  int product = 1;  for (int j = i; j < i + k; j++) {  product *= arr[j];  }  maxProduct = Math.max(maxProduct product);  }  return maxProduct;  }  // Driver code  public static void main(String[] args) {  int[] arr1 = {1 5 9 8 2 4 1 8 1 2};  int k = 6;  int n = arr1.length;  System.out.println(findMaxProduct(arr1 n k));  k = 4;  System.out.println(findMaxProduct(arr1 n k));  int[] arr2 = {2 5 8 1 1 3};  k = 3;  n = arr2.length;  System.out.println(findMaxProduct(arr2 n k));  } } 
Python3
# Python Code def find_max_product(arr k): max_product = float('-inf') # Initialize max_product to negative infinity n = len(arr) # Get the length of the input array # Iterate through the array with a window of size k for i in range(n - k + 1): product = 1 # Initialize product to 1 for each subarray for j in range(i i + k): product *= arr[j] # Calculate the product of the subarray max_product = max(max_product product) # Update max_product if necessary return max_product # Return the maximum product of a subarray of size k # Driver code if __name__ == '__main__': arr1 = [1 5 9 8 2 4 1 8 1 2] k = 6 print(find_max_product(arr1 k)) # Output 25920 k = 4 print(find_max_product(arr1 k)) # Output 1728 arr2 = [2 5 8 1 1 3] k = 3 print(find_max_product(arr2 k)) # Output 80 # This code is contributed by guptapratik 
C#
using System; public class GFG {  // This function returns the maximum product of a subarray of size k in the given array  // It assumes that k is smaller than or equal to the length of the array.  static int FindMaxProduct(int[] arr int n int k)  {  int maxProduct = int.MinValue;  for (int i = 0; i <= n - k; i++)  {  int product = 1;  for (int j = i; j < i + k; j++)  {  product *= arr[j];  }  maxProduct = Math.Max(maxProduct product);  }  return maxProduct;  }  // Driver code  public static void Main(string[] args)  {  int[] arr1 = { 1 5 9 8 2 4 1 8 1 2 };  int k = 6;  int n = arr1.Length;  Console.WriteLine(FindMaxProduct(arr1 n k));  k = 4;  Console.WriteLine(FindMaxProduct(arr1 n k));  int[] arr2 = { 2 5 8 1 1 3 };  k = 3;  n = arr2.Length;  Console.WriteLine(FindMaxProduct(arr2 n k));  } } 
JavaScript
// This function returns the maximum product of a subarray of size k in the given array // It assumes that k is smaller than or equal to the length of the array. function findMaxProduct(arr k) {  let maxProduct = Number.MIN_VALUE;  const n = arr.length;  for (let i = 0; i <= n - k; i++) {  let product = 1;  for (let j = i; j < i + k; j++) {  product *= arr[j];  }  maxProduct = Math.max(maxProduct product);  }  return maxProduct; } // Driver code const arr1 = [1 5 9 8 2 4 1 8 1 2]; let k = 6; console.log(findMaxProduct(arr1 k)); k = 4; console.log(findMaxProduct(arr1 k)); const arr2 = [2 5 8 1 1 3]; k = 3; console.log(findMaxProduct(arr2 k)); 

Wyjście
4608 720 80

Złożoność czasowa: O(n*k) gdzie n to długość tablicy wejściowej, a k to rozmiar podtablicy, dla której znajdujemy iloczyn maksymalny.
Przestrzeń pomocnicza: O(1), ponieważ używamy tylko stałej ilości dodatkowej przestrzeni do przechowywania iloczynu maksymalnego i iloczynu bieżącej podtablicy.

och, Java

Metoda 2 (wydajna: O(n))  
Możemy to rozwiązać w O(n), korzystając z faktu, że iloczyn podtablicy o rozmiarze k można obliczyć w czasie O(1), jeśli mamy pod ręką iloczyn poprzedniego podtablicy. 
 

curr_product = (prev_product / arr[i-1]) * arr[i + k -1]  
prev_product : Product of subarray of size k beginning
with arr[i-1]
curr_product : Product of subarray of size k beginning
with arr[i]


W ten sposób możemy obliczyć maksymalny iloczyn podtablicy o rozmiarze k tylko w jednym przejściu. Poniżej znajduje się implementacja tego pomysłu w C++.



C++
// C++ program to find the maximum product of a subarray // of size k. #include    using namespace std; // This function returns maximum product of a subarray // of size k in given array arr[0..n-1]. This function // assumes that k is smaller than or equal to n. int findMaxProduct(int arr[] int n int k) {  // Initialize the MaxProduct to 1 as all elements  // in the array are positive  int MaxProduct = 1;  for (int i=0; i<k; i++)  MaxProduct *= arr[i];  int prev_product = MaxProduct;  // Consider every product beginning with arr[i]  // where i varies from 1 to n-k-1  for (int i=1; i<=n-k; i++)  {  int curr_product = (prev_product/arr[i-1]) *  arr[i+k-1];  MaxProduct = max(MaxProduct curr_product);  prev_product = curr_product;  }  // Return the maximum product found  return MaxProduct; } // Driver code int main() {  int arr1[] = {1 5 9 8 2 4 1 8 1 2};  int k = 6;  int n = sizeof(arr1)/sizeof(arr1[0]);  cout << findMaxProduct(arr1 n k) << endl;  k = 4;  cout << findMaxProduct(arr1 n k) << endl;  int arr2[] = {2 5 8 1 1 3};  k = 3;  n = sizeof(arr2)/sizeof(arr2[0]);  cout << findMaxProduct(arr2 n k);  return 0; } 
Java
// Java program to find the maximum product of a subarray // of size k import java.io.*; import java.util.*; class GFG  {  // Function returns maximum product of a subarray  // of size k in given array arr[0..n-1]. This function  // assumes that k is smaller than or equal to n.  static int findMaxProduct(int arr[] int n int k)  {  // Initialize the MaxProduct to 1 as all elements  // in the array are positive  int MaxProduct = 1;  for (int i=0; i<k; i++)  MaxProduct *= arr[i];    int prev_product = MaxProduct;    // Consider every product beginning with arr[i]  // where i varies from 1 to n-k-1  for (int i=1; i<=n-k; i++)  {  int curr_product = (prev_product/arr[i-1]) *  arr[i+k-1];  MaxProduct = Math.max(MaxProduct curr_product);  prev_product = curr_product;  }    // Return the maximum product found  return MaxProduct;  }    // driver program  public static void main (String[] args)   {  int arr1[] = {1 5 9 8 2 4 1 8 1 2};  int k = 6;  int n = arr1.length;  System.out.println(findMaxProduct(arr1 n k));    k = 4;  System.out.println(findMaxProduct(arr1 n k));    int arr2[] = {2 5 8 1 1 3};  k = 3;  n = arr2.length;  System.out.println(findMaxProduct(arr2 n k));  } } // This code is contributed by Pramod Kumar 
Python3
# Python 3 program to find the maximum  # product of a subarray of size k. # This function returns maximum product  # of a subarray of size k in given array # arr[0..n-1]. This function assumes  # that k is smaller than or equal to n. def findMaxProduct(arr n k) : # Initialize the MaxProduct to 1  # as all elements in the array  # are positive MaxProduct = 1 for i in range(0 k) : MaxProduct = MaxProduct * arr[i] prev_product = MaxProduct # Consider every product beginning # with arr[i] where i varies from # 1 to n-k-1 for i in range(1 n - k + 1) : curr_product = (prev_product // arr[i-1]) * arr[i+k-1] MaxProduct = max(MaxProduct curr_product) prev_product = curr_product # Return the maximum product found return MaxProduct # Driver code arr1 = [1 5 9 8 2 4 1 8 1 2] k = 6 n = len(arr1) print (findMaxProduct(arr1 n k) ) k = 4 print (findMaxProduct(arr1 n k)) arr2 = [2 5 8 1 1 3] k = 3 n = len(arr2) print(findMaxProduct(arr2 n k)) # This code is contributed by Nikita Tiwari. 
C#
// C# program to find the maximum  // product of a subarray of size k using System; class GFG  {  // Function returns maximum   // product of a subarray of   // size k in given array   // arr[0..n-1]. This function   // assumes that k is smaller   // than or equal to n.  static int findMaxProduct(int []arr   int n int k)  {  // Initialize the MaxProduct   // to 1 as all elements  // in the array are positive  int MaxProduct = 1;  for (int i = 0; i < k; i++)  MaxProduct *= arr[i];  int prev_product = MaxProduct;  // Consider every product beginning   // with arr[i] where i varies from   // 1 to n-k-1  for (int i = 1; i <= n - k; i++)  {  int curr_product = (prev_product /   arr[i - 1]) *   arr[i + k - 1];  MaxProduct = Math.Max(MaxProduct   curr_product);  prev_product = curr_product;  }  // Return the maximum  // product found  return MaxProduct;  }    // Driver Code  public static void Main ()   {  int []arr1 = {1 5 9 8 2   4 1 8 1 2};  int k = 6;  int n = arr1.Length;  Console.WriteLine(findMaxProduct(arr1 n k));  k = 4;  Console.WriteLine(findMaxProduct(arr1 n k));  int []arr2 = {2 5 8 1 1 3};  k = 3;  n = arr2.Length;  Console.WriteLine(findMaxProduct(arr2 n k));  } } // This code is contributed by anuj_67. 
JavaScript
<script>  // JavaScript program to find the maximum   // product of a subarray of size k    // Function returns maximum   // product of a subarray of   // size k in given array   // arr[0..n-1]. This function   // assumes that k is smaller   // than or equal to n.  function findMaxProduct(arr n k)  {  // Initialize the MaxProduct   // to 1 as all elements  // in the array are positive  let MaxProduct = 1;  for (let i = 0; i < k; i++)  MaxProduct *= arr[i];    let prev_product = MaxProduct;    // Consider every product beginning   // with arr[i] where i varies from   // 1 to n-k-1  for (let i = 1; i <= n - k; i++)  {  let curr_product =   (prev_product / arr[i - 1]) * arr[i + k - 1];  MaxProduct = Math.max(MaxProduct curr_product);  prev_product = curr_product;  }    // Return the maximum  // product found  return MaxProduct;  }    let arr1 = [1 5 9 8 2 4 1 8 1 2];  let k = 6;  let n = arr1.length;  document.write(findMaxProduct(arr1 n k) + '
'
); k = 4; document.write(findMaxProduct(arr1 n k) + '
'
); let arr2 = [2 5 8 1 1 3]; k = 3; n = arr2.length; document.write(findMaxProduct(arr2 n k) + '
'
); </script>
PHP
 // PHP program to find the maximum  // product of a subarray of size k. // This function returns maximum  // product of a subarray of size  // k in given array arr[0..n-1]. // This function assumes that k  // is smaller than or equal to n. function findMaxProduct( $arr $n $k) { // Initialize the MaxProduct to // 1 as all elements // in the array are positive $MaxProduct = 1; for($i = 0; $i < $k; $i++) $MaxProduct *= $arr[$i]; $prev_product = $MaxProduct; // Consider every product // beginning with arr[i] // where i varies from 1  // to n-k-1 for($i = 1; $i < $n - $k; $i++) { $curr_product = ($prev_product / $arr[$i - 1]) * $arr[$i + $k - 1]; $MaxProduct = max($MaxProduct $curr_product); $prev_product = $curr_product; } // Return the maximum // product found return $MaxProduct; } // Driver code $arr1 = array(1 5 9 8 2 4 1 8 1 2); $k = 6; $n = count($arr1); echo findMaxProduct($arr1 $n $k)'n' ; $k = 4; echo findMaxProduct($arr1 $n $k)'n'; $arr2 = array(2 5 8 1 1 3); $k = 3; $n = count($arr2); echo findMaxProduct($arr2 $n $k); // This code is contributed by anuj_67. ?> 

Wyjście
4608 720 80

Przestrzeń pomocnicza: O(1) ponieważ nie jest wykorzystywana żadna dodatkowa przestrzeń.
Współautorem tego artykułu jest Ashutosh Kumar .

 

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