Étant donné une matrice triée avec[][] de taille n × m et un entier x déterminer si x est présent dans la matrice.
La matrice est triée de la manière suivante :
- Chaque ligne est triée par ordre croissant.
- Le premier élément de chaque ligne est supérieur ou égal au dernier élément de la ligne précédente
(c'est-à-dire mat[i][0] ≥ mat[i−1][m−1] pour tout 1 ≤ i< n).
Exemples :
Saisir: x = 14 tapis[][] = [[ 1 5 9]
[14 20 21]
[30 34 43]]
Sortir: vrai
Explication: La valeur14est présent dans la deuxième ligne, première colonne de la matrice.Saisir: x = 42 tapis[][] = [[ 1 5 9 11]
[14 20 21 26]
[30 34 43 50]]
Sortir: FAUX
Explication: La valeur42n'apparaît pas dans la matrice.
Table des matières
- [Approche naïve] Comparaison avec tous les éléments – O(n × m) Temps et O(1) Espace
- [Meilleure approche] Utiliser la recherche binaire deux fois - O (log n + log m) Temps et O (1) Espace
- [Approche attendue] Utilisation de la recherche binaire une fois - O (log (n × m)) et O (1) Space
[Approche naïve] Comparaison avec tous les éléments – O(n × m) Temps et O(1) Espace
C++L'idée est de parcourir toute la matrice mat[][] et de comparer chaque élément avec x. Si un élément correspond au x, nous retournerons vrai. Sinon à la fin du parcours nous retournerons false.
#include #include using namespace std; bool searchMatrix(vector<vector<int>>& mat int x) { int n = mat.size(); int m = mat[0].size(); // traverse every element in the matrix for (int i = 0; i < n; i++) { for (int j = 0; j < m; j++) { if (mat[i][j] == x) return true; } } return false; } int main() { vector<vector<int>> mat = { {1 5 9} {14 20 21} {30 34 43} }; int x = 14; cout << (searchMatrix(mat x) ? 'true' : 'false') << endl; }
Java class GfG { public static boolean searchMatrix(int[][] mat int x) { int n = mat.length; int m = mat[0].length; // traverse every element in the matrix for (int i = 0; i < n; i++) { for (int j = 0; j < m; j++) { if (mat[i][j] == x) return true; } } return false; } public static void main(String[] args) { int[][] mat = { {1 5 9} {14 20 21} {30 34 43} }; int x = 14; System.out.println(searchMatrix(mat x) ? 'true' : 'false'); } }
Python def searchMatrix(mat x): n = len(mat) m = len(mat[0]) # traverse every element in the matrix for i in range(n): for j in range(m): if mat[i][j] == x: return True return False if __name__ == '__main__': mat = [ [1 5 9] [14 20 21] [30 34 43] ] x = 14 print('true' if searchMatrix(mat x) else 'false')
C# using System; class GfG { public static bool searchMatrix(int[][] mat int x) { int n = mat.Length; int m = mat[0].Length; // traverse every element in the matrix for (int i = 0; i < n; i++) { for (int j = 0; j < m; j++) { if (mat[i][j] == x) return true; } } return false; } public static void Main(string[] args) { int[][] mat = new int[][] { new int[] {1 5 9} new int[] {14 20 21} new int[] {30 34 43} }; int x = 14; Console.WriteLine(searchMatrix(mat x) ? 'true' : 'false'); } }
JavaScript function searchMatrix(mat x) { let n = mat.length; let m = mat[0].length; // traverse every element in the matrix for (let i = 0; i < n; i++) { for (let j = 0; j < m; j++) { if (mat[i][j] === x) return true; } } return false; } // Driver Code let mat = [ [1 5 9] [14 20 21] [30 34 43] ]; let x = 14; console.log(searchMatrix(mat x) ? 'true' : 'false');
Sortir
true
[Meilleure approche] Utiliser la recherche binaire deux fois - O (log n + log m) Temps et O (1) Espace
Nous localisons d’abord la ligne où la cible x pourrait se trouver en utilisant la recherche binaire, puis nous appliquons à nouveau la recherche binaire dans cette ligne. Pour trouver la bonne ligne, nous effectuons une recherche binaire sur les premiers éléments de la ligne du milieu.
Implémentations étape par étape :
=> Commencez par low = 0 et high = n - 1.
=> Si x est plus petit que le premier élément de la ligne du milieu (a[mid][0]) alors x sera plus petit que tous les éléments des lignes >= mid donc mettez à jour high = mid - 1.
=> Si x est supérieur au premier élément de la ligne du milieu (a[mid][0]) alors x sera supérieur à tous les éléments des lignes< mid so store the current mid row and update low = mid + 1.
Une fois que nous avons trouvé la bonne ligne, nous pouvons appliquer une recherche binaire dans cette ligne pour rechercher l'élément cible x.
C++#include #include using namespace std; // function to binary search for x in arr[] bool search(vector<int> &arr int x) { int lo = 0 hi = arr.size() - 1; while (lo <= hi) { int mid = (lo + hi) / 2; if (x == arr[mid]) return true; if (x < arr[mid]) hi = mid - 1; else lo = mid + 1; } return false; } // function to search element x in fully // sorted matrix bool searchMatrix(vector<vector<int>> &mat int x) { int n = mat.size() m = mat[0].size(); int lo = 0 hi = n - 1; int row = -1; while (lo <= hi) { int mid = (lo + hi) / 2; // if the first element of mid row is equal to x // return true if (x == mat[mid][0]) return true; // if x is greater than first element of mid row // store the mid row and search in lower half if (x > mat[mid][0]) { row = mid; lo = mid + 1; } // if x is smaller than first element of mid row // search in upper half else hi = mid - 1; } // if x is smaller than all elements of mat[][] if (row == -1) return false; return search(mat[row] x); } int main() { vector<vector<int>> mat = {{1 5 9} {14 20 21} {30 34 43}}; int x = 14; if (searchMatrix(mat x)) cout << 'true'; else cout << 'false'; return 0; }
Java class GfG { // function to binary search for x in arr[] static boolean search(int[] arr int x) { int lo = 0 hi = arr.length - 1; while (lo <= hi) { int mid = (lo + hi) / 2; if (x == arr[mid]) return true; if (x < arr[mid]) hi = mid - 1; else lo = mid + 1; } return false; } // function to search element x in fully // sorted matrix static boolean searchMatrix(int[][] mat int x) { int n = mat.length m = mat[0].length; int lo = 0 hi = n - 1; int row = -1; while (lo <= hi) { int mid = (lo + hi) / 2; // if the first element of mid row is equal to x // return true if (x == mat[mid][0]) return true; // if x is greater than first element of mid row // store the mid row and search in lower half if (x > mat[mid][0]) { row = mid; lo = mid + 1; } // if x is smaller than first element of mid row // search in upper half else hi = mid - 1; } // if x is smaller than all elements of mat[][] if (row == -1) return false; return search(mat[row] x); } public static void main(String[] args) { int[][] mat = { {1 5 9} {14 20 21} {30 34 43} }; int x = 14; if (searchMatrix(mat x)) System.out.println('true'); else System.out.println('false'); } }
Python # function to binary search for x in arr[] def search(arr x): lo = 0 hi = len(arr) - 1 while lo <= hi: mid = (lo + hi) // 2 if x == arr[mid]: return True if x < arr[mid]: hi = mid - 1 else: lo = mid + 1 return False # function to search element x in fully # sorted matrix def searchMatrix(mat x): n = len(mat) m = len(mat[0]) lo = 0 hi = n - 1 row = -1 while lo <= hi: mid = (lo + hi) // 2 # if the first element of mid row is equal to x # return true if x == mat[mid][0]: return True # if x is greater than first element of mid row # store the mid row and search in lower half if x > mat[mid][0]: row = mid lo = mid + 1 # if x is smaller than first element of mid row # search in upper half else: hi = mid - 1 # if x is smaller than all elements of mat[][] if row == -1: return False return search(mat[row] x) if __name__ == '__main__': mat = [[1 5 9] [14 20 21] [30 34 43]] x = 14 if searchMatrix(mat x): print('true') else: print('false')
C# using System; class GfG { // function to binary search for x in arr[] static bool Search(int[] arr int x) { int lo = 0 hi = arr.Length - 1; while (lo <= hi) { int mid = (lo + hi) / 2; if (x == arr[mid]) return true; if (x < arr[mid]) hi = mid - 1; else lo = mid + 1; } return false; } // function to search element x in fully // sorted matrix static bool SearchMatrix(int[][] mat int x) { int n = mat.Length m = mat[0].Length; int lo = 0 hi = n - 1; int row = -1; while (lo <= hi) { int mid = (lo + hi) / 2; // if the first element of mid row is equal to x // return true if (x == mat[mid][0]) return true; // if x is greater than first element of mid row // store the mid row and search in lower half if (x > mat[mid][0]) { row = mid; lo = mid + 1; } // if x is smaller than first element of mid row // search in upper half else hi = mid - 1; } // if x is smaller than all elements of mat[][] if (row == -1) return false; return Search(mat[row] x); } static void Main(string[] args) { int[][] mat = new int[][] { new int[] {1 5 9} new int[] {14 20 21} new int[] {30 34 43} }; int x = 14; if (SearchMatrix(mat x)) Console.WriteLine('true'); else Console.WriteLine('false'); } }
JavaScript // function to binary search for x in arr[] function search(arr x) { let lo = 0 hi = arr.length - 1; while (lo <= hi) { let mid = Math.floor((lo + hi) / 2); if (x === arr[mid]) return true; if (x < arr[mid]) hi = mid - 1; else lo = mid + 1; } return false; } // function to search element x in fully // sorted matrix function searchMatrix(mat x) { let n = mat.length m = mat[0].length; let lo = 0 hi = n - 1; let row = -1; while (lo <= hi) { let mid = Math.floor((lo + hi) / 2); // if the first element of mid row is equal to x // return true if (x === mat[mid][0]) return true; // if x is greater than first element of mid row // store the mid row and search in lower half if (x > mat[mid][0]) { row = mid; lo = mid + 1; } // if x is smaller than first element of mid row // search in upper half else hi = mid - 1; } // if x is smaller than all elements of mat[][] if (row === -1) return false; return search(mat[row] x); } // Driver code const mat = [ [1 5 9] [14 20 21] [30 34 43] ]; const x = 14; if (searchMatrix(mat x)) console.log('true'); else console.log('false');
Sortir
true
[Approche attendue] Utilisation de la recherche binaire une fois - O (log (n × m)) et O (1) Space
L'idée est de considérer la matrice donnée comme un tableau 1D et d'appliquer une seule recherche binaire.
Par exemple, pour une matrice de taille n x m et nous pouvons la considérer comme un tableau 1D de taille n*m alors le premier index serait 0 et le dernier index serait n*m-1. Nous devons donc effectuer une recherche binaire de low = 0 à high = (n*m-1).
Comment trouver l'élément dans la matrice 2D correspondant à index = mid ?
C++Puisque chaque ligne de mat[][] aura m éléments afin que nous puissions trouver le rangée de l'élément comme (milieu / m) et le colonne de l'élément comme (moyen % m) . Ensuite, nous pouvons comparer x avec arr[mid/m][mid%m] pour chaque mid et compléter notre recherche binaire.
#include #include using namespace std; bool searchMatrix(vector<vector<int>>& mat int x) { int n = mat.size() m = mat[0].size(); int lo = 0 hi = n * m - 1; while (lo <= hi) { int mid = (lo + hi) / 2; // find row and column of element at mid index int row = mid / m; int col = mid % m; // if x is found return true if (mat[row][col] == x) return true; // if x is greater than mat[row][col] search // in right half if (mat[row][col] < x) lo = mid + 1; // if x is less than mat[row][col] search // in left half else hi = mid - 1; } return false; } int main() { vector<vector<int>> mat = {{1 5 9} {14 20 21} {30 34 43}}; int x = 14; if (searchMatrix(mat x)) cout << 'true'; else cout << 'false'; return 0; }
Java class GfG { static boolean searchMatrix(int[][] mat int x) { int n = mat.length m = mat[0].length; int lo = 0 hi = n * m - 1; while (lo <= hi) { int mid = (lo + hi) / 2; // find row and column of element at mid index int row = mid / m; int col = mid % m; // if x is found return true if (mat[row][col] == x) return true; // if x is greater than mat[row][col] search // in right half if (mat[row][col] < x) lo = mid + 1; // if x is less than mat[row][col] search // in left half else hi = mid - 1; } return false; } public static void main(String[] args) { int[][] mat = {{1 5 9} {14 20 21} {30 34 43}}; int x = 14; if (searchMatrix(mat x)) System.out.println('true'); else System.out.println('false'); } }
Python def searchMatrix(mat x): n = len(mat) m = len(mat[0]) lo hi = 0 n * m - 1 while lo <= hi: mid = (lo + hi) // 2 # find row and column of element at mid index row = mid // m col = mid % m # if x is found return true if mat[row][col] == x: return True # if x is greater than mat[row][col] search # in right half if mat[row][col] < x: lo = mid + 1 # if x is less than mat[row][col] search # in left half else: hi = mid - 1 return False if __name__ == '__main__': mat = [[1 5 9] [14 20 21] [30 34 43]] x = 14 if searchMatrix(mat x): print('true') else: print('false')
C# using System; class GfG { // function to search for x in the matrix // using binary search static bool searchMatrix(int[] mat int x) { int n = mat.GetLength(0) m = mat.GetLength(1); int lo = 0 hi = n * m - 1; while (lo <= hi) { int mid = (lo + hi) / 2; // find row and column of element at mid index int row = mid / m; int col = mid % m; // if x is found return true if (mat[row col] == x) return true; // if x is greater than mat[row col] search // in right half if (mat[row col] < x) lo = mid + 1; // if x is less than mat[row col] search // in left half else hi = mid - 1; } return false; } static void Main() { int[] mat = { { 1 5 9 } { 14 20 21 } { 30 34 43 } }; int x = 14; if (searchMatrix(mat x)) Console.WriteLine('true'); else Console.WriteLine('false'); } }
JavaScript function searchMatrix(mat x) { let n = mat.length m = mat[0].length; let lo = 0 hi = n * m - 1; while (lo <= hi) { let mid = Math.floor((lo + hi) / 2); // find row and column of element at mid index let row = Math.floor(mid / m); let col = mid % m; // if x is found return true if (mat[row][col] === x) return true; // if x is greater than mat[row][col] search // in right half if (mat[row][col] < x) lo = mid + 1; // if x is less than mat[row][col] search // in left half else hi = mid - 1; } return false; } // Driver Code let mat = [[1 5 9] [14 20 21] [30 34 43]]; let x = 14; if (searchMatrix(mat x)) console.log('true'); else console.log('false');
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