Distanza della cella più vicina avente 1 in una matrice binaria
Provalo su GfG Practice 
Produzione
Produzione
Dato un binario griglia[][] . Trova la distanza del più vicino 1 nella griglia per ogni cella.
La distanza viene calcolata come |i 1 - io 2 | + |j 1 - J 2 | dove io 1 J 1 sono il numero di riga e il numero di colonna della cella corrente e i 2 J 2 sono il numero di riga e il numero di colonna della cella più vicina avente valore 1.
Nota: Dovrebbe essere presente almeno una cella con valore 1 nella griglia.
Esempi:
Ingresso: griglia[][] = [[0 1 1 0]
[1 1 0 0]
[0 0 1 1]]
Produzione: [[1 0 0 1]
[0 0 1 1]
[1 1 0 0]]
Spiegazione:
la cella (0 1) ha l'1 più vicino nella cella (0 0) - distanza = |0-0| + |0-1| = 1
la cella (0 2) ha l'1 più vicino nella cella (0 3) - distanza = |0-0| + |3-2| = 1
la cella (1 0) ha l'1 più vicino nella cella (0 0) - distanza = |1-0| + |0-0| = 1
la cella (1 1) ha l'1 più vicino nella cella (1 2) - distanza = |1-1| + |1-2| = 1
la cella (2 2) ha l'1 più vicino nella cella (2 1) - distanza = |2-2| + |2-1| = 1
la cella (2 3) ha l'1 più vicino nella cella (1 3) - distanza = |2-1| + |3-3| = 1
Il resto sono tutte celle con 1, quindi la loro distanza dalla cella più vicina con 1 è 0.Ingresso: griglia[][] = [[1 0 1]
[1 1 0]
[1 0 0]]
Produzione: [[0 1 0]
[0 0 1]
[0 1 2]]
Spiegazione:
la cella (0 0) ha l'1 più vicino nella cella (0 1) - distanza = |0-0| + |0-1| = 1
la cella (0 2) ha l'1 più vicino nella cella (0 1) - distanza = |0-0| + |2-1| = 1
la cella (1 0) ha l'1 più vicino nella cella (0 1) - distanza = |1-0| + |0-1| = 2
la cella (1 1) ha l'1 più vicino nella cella (1 2) - distanza = |1-1| + |1-2| = 1
la cella (2 0) ha l'1 più vicino nella cella (2 1) - distanza = |2-2| + |2-1| = 1
la cella (2 2) ha l'1 più vicino nella cella (2 1) - distanza = |2-2| + |2-1| = 1
Il resto sono tutte celle con 1, quindi la loro distanza dalla cella più vicina con 1 è 0.
Sommario
- [Approccio ingenuo] - O((n*m)^2) Tempo e O(n * m) Spazio
- [Approccio previsto] - Utilizzo della ricerca Breadth First - O(n * m) Tempo e O(n * m) Spazio
[Approccio ingenuo] - O((n*m)^2) Tempo e O(n * m) Spazio
C++L'idea è di attraversare l'intera griglia e calcolare la distanza di ciascuna cella dall'1 più vicino:
- Se la cella contiene 1 la sua distanza è 0.
- Se la cella contiene 0 attraversiamo l'intera griglia per trovare la cella più vicina che contiene 1.
- Per ogni cella 0 calcola la distanza di Manhattan da tutte le celle con 1 e prendi la distanza minima.
Memorizzare questa distanza minima nella cella corrispondente della matrice dei risultati. Ripeti per tutte le celle della griglia.
//Driver Code Starts #include #include #include using namespace std ; //Driver Code Ends vector < vector < int >> nearest ( vector < vector < int >> & grid ) { int n = grid . size (); int m = grid [ 0 ]. size (); vector < vector < int >> ans ( n vector < int > ( m INT_MAX )); // visit each cell of the grid for ( int i = 0 ; i < n ; i ++ ) { for ( int j = 0 ; j < m ; j ++ ) { // if the cell has 1 // then the distance is 0 if ( grid [ i ][ j ] == 1 ) { ans [ i ][ j ] = 0 ; continue ; } // iterate over all the cells // and find the distance of the nearest 1 for ( int k = 0 ; k < n ; k ++ ) { for ( int l = 0 ; l < m ; l ++ ) { if ( grid [ k ][ l ] == 1 ) { ans [ i ][ j ] = min ( ans [ i ][ j ] abs ( i - k ) + abs ( j - l )); } } } } } return ans ; } //Driver Code Starts int main () { vector < vector < int >> grid = {{ 0 1 1 0 } { 1 1 0 0 } { 0 0 1 1 }}; vector < vector < int >> ans = nearest ( grid ); for ( int i = 0 ; i < ans . size (); i ++ ) { for ( int j = 0 ; j < ans [ i ]. size (); j ++ ) { cout < < ans [ i ][ j ] < < ' ' ; } cout < < endl ; } return 0 ; } //Driver Code Ends
Java //Driver Code Starts import java.util.ArrayList ; class GFG { //Driver Code Ends static ArrayList < ArrayList < Integer >> nearest ( int [][] grid ) { int n = grid . length ; int m = grid [ 0 ] . length ; ArrayList < ArrayList < Integer > > ans = new ArrayList <> (); // initialize all cells with maximum value for ( int i = 0 ; i < n ; i ++ ) { ArrayList < Integer > row = new ArrayList <> (); for ( int j = 0 ; j < m ; j ++ ) { row . add ( Integer . MAX_VALUE ); } ans . add ( row ); } // visit each cell of the grid for ( int i = 0 ; i < n ; i ++ ) { for ( int j = 0 ; j < m ; j ++ ) { // if the cell has 1 distance is 0 if ( grid [ i ][ j ] == 1 ) { ans . get ( i ). set ( j 0 ); continue ; } // iterate over all cells to find nearest 1 for ( int k = 0 ; k < n ; k ++ ) { for ( int l = 0 ; l < m ; l ++ ) { if ( grid [ k ][ l ] == 1 ) { int distance = Math . abs ( i - k ) + Math . abs ( j - l ); if ( distance < ans . get ( i ). get ( j )) { ans . get ( i ). set ( j distance ); } } } } } } return ans ; } //Driver Code Starts public static void main ( String [] args ) { int [][] grid = { { 0 1 1 0 } { 1 1 0 0 } { 0 0 1 1 } }; ArrayList < ArrayList < Integer > > ans = nearest ( grid ); for ( ArrayList < Integer > row : ans ) { for ( Integer val : row ) { System . out . print ( val + ' ' ); } System . out . println (); } } } //Driver Code Ends
Python def nearest ( grid ): n = len ( grid ) m = len ( grid [ 0 ]) ans = [[ float ( 'inf' )] * m for _ in range ( n )] # visit each cell of the grid for i in range ( n ): for j in range ( m ): # if the cell has 1 # then the distance is 0 if grid [ i ][ j ] == 1 : ans [ i ][ j ] = 0 continue # iterate over all the cells # and find the distance of the nearest 1 for k in range ( n ): for l in range ( m ): if grid [ k ][ l ] == 1 : ans [ i ][ j ] = min ( ans [ i ][ j ] abs ( i - k ) + abs ( j - l )) return ans #Driver Code Starts if __name__ == '__main__' : grid = [[ 0 1 1 0 ] [ 1 1 0 0 ] [ 0 0 1 1 ]] ans = nearest ( grid ) for i in range ( len ( ans )): for j in range ( len ( ans [ i ])): print ( ans [ i ][ j ] end = ' ' ) print () #Driver Code Ends
C# //Driver Code Starts using System ; using System.Collections.Generic ; class GfG { //Driver Code Ends static List < List < int > > nearest ( int [ ] grid ) { int n = grid . GetLength ( 0 ); int m = grid . GetLength ( 1 ); List < List < int > > ans = new List < List < int > > (); for ( int i = 0 ; i < n ; i ++ ) { List < int > row = new List < int > (); for ( int j = 0 ; j < m ; j ++ ) { row . Add ( int . MaxValue ); } ans . Add ( row ); } // Visit each cell of the grid for ( int i = 0 ; i < n ; i ++ ) { for ( int j = 0 ; j < m ; j ++ ) { // If the cell has 1 distance is 0 if ( grid [ i j ] == 1 ) { ans [ i ][ j ] = 0 ; continue ; } // iterate over all the cells // and find the distance of the nearest 1 for ( int k = 0 ; k < n ; k ++ ) { for ( int l = 0 ; l < m ; l ++ ) { if ( grid [ k l ] == 1 ) { int distance = Math . Abs ( i - k ) + Math . Abs ( j - l ); if ( distance < ans [ i ][ j ]) { ans [ i ][ j ] = distance ; } } } } } } return ans ; } //Driver Code Starts static void Main () { int [ ] grid = { { 0 1 1 0 } { 1 1 0 0 } { 0 0 1 1 } }; List < List < int > > ans = nearest ( grid ); for ( int i = 0 ; i < ans . Count ; i ++ ) { for ( int j = 0 ; j < ans [ i ]. Count ; j ++ ) { Console . Write ( ans [ i ][ j ] + ' ' ); } Console . WriteLine (); } } } //Driver Code Ends
JavaScript function nearest ( grid ) { let n = grid . length ; let m = grid [ 0 ]. length ; let ans = new Array ( n ); for ( let i = 0 ; i < n ; i ++ ) { ans [ i ] = new Array ( m ). fill ( Infinity ); } // visit each cell of the grid for ( let i = 0 ; i < n ; i ++ ) { for ( let j = 0 ; j < m ; j ++ ) { // if the cell has 1 // then the distance is 0 if ( grid [ i ][ j ] === 1 ) { ans [ i ][ j ] = 0 ; continue ; } // iterate over all the cells // and find the distance of the nearest 1 for ( let k = 0 ; k < n ; k ++ ) { for ( let l = 0 ; l < m ; l ++ ) { if ( grid [ k ][ l ] === 1 ) { ans [ i ][ j ] = Math . min ( ans [ i ][ j ] Math . abs ( i - k ) + Math . abs ( j - l )); } } } } } return ans ; } // Driver Code //Driver Code Starts let grid = [ [ 0 1 1 0 ] [ 1 1 0 0 ] [ 0 0 1 1 ] ]; let ans = nearest ( grid ); for ( let i = 0 ; i < ans . length ; i ++ ) { console . log ( ans [ i ]. join ( ' ' )); } //Driver Code Ends
Produzione
1 0 0 1 0 0 1 1 1 1 0 0
[Approccio previsto] - Utilizzo della ricerca Breadth First - O(n * m) Tempo e O(n * m) Spazio
C++Il problema può essere risolto in modo efficiente utilizzando un approccio BFS multi-sorgente. Ogni cella nella griglia viene trattata come un nodo con bordi che collegano le celle adiacenti (su giù a sinistra a destra). Invece di eseguire una ricerca separata per ogni cella 0, accodiamo tutte le celle contenenti 1 all'inizio ed eseguiamo un singolo BFS da queste più fonti contemporaneamente. Man mano che il BFS si espande strato per strato, aggiorniamo la distanza di ciascuna cella 0 non visitata in modo che sia una in più rispetto alla distanza del suo genitore. Ciò garantisce che ogni cella riceva la distanza minima dall'1 più vicino in modo ottimale ed efficiente.
//Driver Code Starts #include #include #include #include using namespace std ; //Driver Code Ends vector < vector < int >> nearest ( vector < vector < int >> & grid ) { int n = grid . size (); int m = grid [ 0 ]. size (); vector < vector < int >> ans ( n vector < int > ( m INT_MAX )); // to store the indices of the cells having 1 queue < pair < int int >> q ; // visit each cell of the grid for ( int i = 0 ; i < n ; i ++ ) { for ( int j = 0 ; j < m ; j ++ ) { // if the cell has 1 // then the distance is 0 if ( grid [ i ][ j ] == 1 ) { ans [ i ][ j ] = 0 ; q . push ({ i j }); } } } // iterate over all the cells // and find the distance of the nearest 1 while ( ! q . empty ()) { int len = q . size (); for ( int i = 0 ; i < len ; i ++ ) { int x = q . front (). first ; int y = q . front (). second ; q . pop (); // check all the four directions vector < vector < int >> directions = {{ 0 1 } { 0 -1 } { 1 0 } { -1 0 }}; for ( int j = 0 ; j < directions . size (); j ++ ) { int dx = directions [ j ][ 0 ]; int dy = directions [ j ][ 1 ]; // if the cell is within the grid // and the distance is not calculated yet if ( x + dx >= 0 && x + dx < n && y + dy >= 0 && y + dy < m && ans [ x + dx ][ y + dy ] == INT_MAX ) { ans [ x + dx ][ y + dy ] = ans [ x ][ y ] + 1 ; q . push ({ x + dx y + dy }); } } } } return ans ; } //Driver Code Starts int main () { vector < vector < int >> grid = {{ 0 1 1 0 } { 1 1 0 0 } { 0 0 1 1 }}; vector < vector < int >> ans = nearest ( grid ); for ( int i = 0 ; i < ans . size (); i ++ ) { for ( int j = 0 ; j < ans [ i ]. size (); j ++ ) { cout < < ans [ i ][ j ] < < ' ' ; } cout < < endl ; } return 0 ; } //Driver Code Ends
Java //Driver Code Starts import java.util.ArrayList ; import java.util.Queue ; import java.util.LinkedList ; import java.util.Arrays ; class GfG { //Driver Code Ends static ArrayList < ArrayList < Integer >> nearest ( int [][] grid ) { int n = grid . length ; int m = grid [ 0 ] . length ; int [][] ans = new int [ n ][ m ] ; for ( int i = 0 ; i < n ; i ++ ) { Arrays . fill ( ans [ i ] Integer . MAX_VALUE ); } // to store the indices of the cells having 1 Queue < int []> q = new LinkedList <> (); // visit each cell of the grid for ( int i = 0 ; i < n ; i ++ ) { for ( int j = 0 ; j < m ; j ++ ) { // if the cell has 1 // then the distance is 0 if ( grid [ i ][ j ] == 1 ) { ans [ i ][ j ] = 0 ; q . add ( new int [] { i j }); } } } // iterate over all the cells // and find the distance of the nearest 1 while ( ! q . isEmpty ()) { int len = q . size (); for ( int i = 0 ; i < len ; i ++ ) { int [] front = q . poll (); int x = front [ 0 ] ; int y = front [ 1 ] ; // check all the four directions int [][] directions = {{ 0 1 } { 0 - 1 } { 1 0 } { - 1 0 }}; for ( int j = 0 ; j < directions . length ; j ++ ) { int dx = directions [ j ][ 0 ] ; int dy = directions [ j ][ 1 ] ; // if the cell is within the grid // and the distance is not calculated yet if ( x + dx >= 0 && x + dx < n && y + dy >= 0 && y + dy < m && ans [ x + dx ][ y + dy ] == Integer . MAX_VALUE ) { ans [ x + dx ][ y + dy ] = ans [ x ][ y ] + 1 ; q . add ( new int [] { x + dx y + dy }); } } } } ArrayList < ArrayList < Integer >> result = new ArrayList <> (); for ( int i = 0 ; i < n ; i ++ ) { ArrayList < Integer > row = new ArrayList <> (); for ( int j = 0 ; j < m ; j ++ ) { row . add ( ans [ i ][ j ] ); } result . add ( row ); } return result ; } //Driver Code Starts public static void main ( String [] args ) { int [][] grid = {{ 0 1 1 0 } { 1 1 0 0 } { 0 0 1 1 }}; ArrayList < ArrayList < Integer >> ans = nearest ( grid ); for ( ArrayList < Integer > row : ans ) { for ( int val : row ) { System . out . print ( val + ' ' ); } System . out . println (); } } } //Driver Code Ends
Python #Driver Code Starts from collections import deque import sys #Driver Code Ends def nearest ( grid ): n = len ( grid ) m = len ( grid [ 0 ]) ans = [[ sys . maxsize for _ in range ( m )] for _ in range ( n )] # to store the indices of the cells having 1 q = deque () # visit each cell of the grid for i in range ( n ): for j in range ( m ): # if the cell has 1 # then the distance is 0 if grid [ i ][ j ] == 1 : ans [ i ][ j ] = 0 q . append (( i j )) # iterate over all the cells # and find the distance of the nearest 1 while q : len_q = len ( q ) for _ in range ( len_q ): x y = q . popleft () # check all the four directions directions = [( 0 1 ) ( 0 - 1 ) ( 1 0 ) ( - 1 0 )] for dx dy in directions : # if the cell is within the grid # and the distance is not calculated yet if 0 <= x + dx < n and 0 <= y + dy < m and ans [ x + dx ][ y + dy ] == sys . maxsize : ans [ x + dx ][ y + dy ] = ans [ x ][ y ] + 1 q . append (( x + dx y + dy )) return ans #Driver Code Starts if __name__ == '__main__' : grid = [[ 0 1 1 0 ] [ 1 1 0 0 ] [ 0 0 1 1 ]] ans = nearest ( grid ) for row in ans : print ( ' ' . join ( map ( str row ))) #Driver Code Ends
C# //Driver Code Starts using System ; using System.Collections.Generic ; class GFG { //Driver Code Ends static List < List < int >> nearest ( int [] grid ) { int n = grid . GetLength ( 0 ); int m = grid . GetLength ( 1 ); int [] ans = new int [ n m ]; for ( int i = 0 ; i < n ; i ++ ) { for ( int j = 0 ; j < m ; j ++ ) { ans [ i j ] = int . MaxValue ; } } // to store the indices of the cells having 1 Queue < Tuple < int int >> q = new Queue < Tuple < int int >> (); // visit each cell of the grid for ( int i = 0 ; i < n ; i ++ ) { for ( int j = 0 ; j < m ; j ++ ) { // if the cell has 1 // then the distance is 0 if ( grid [ i j ] == 1 ) { ans [ i j ] = 0 ; q . Enqueue ( new Tuple < int int > ( i j )); } } } // iterate over all the cells // and find the distance of the nearest 1 while ( q . Count > 0 ) { int len = q . Count ; for ( int i = 0 ; i < len ; i ++ ) { var node = q . Dequeue (); int x = node . Item1 ; int y = node . Item2 ; // check all the four directions int [] directions = new int [] { { 0 1 } { 0 - 1 } { 1 0 } { - 1 0 } }; for ( int j = 0 ; j < 4 ; j ++ ) { int dx = directions [ j 0 ]; int dy = directions [ j 1 ]; // if the cell is within the grid // and the distance is not calculated yet if ( x + dx >= 0 && x + dx < n && y + dy >= 0 && y + dy < m && ans [ x + dx y + dy ] == int . MaxValue ) { ans [ x + dx y + dy ] = ans [ x y ] + 1 ; q . Enqueue ( new Tuple < int int > ( x + dx y + dy )); } } } } // Convert 2D array to List > before returning
List < List < int >> result = new List < List < int >> (); for ( int i = 0 ; i < n ; i ++ ) { List < int > row = new List < int > (); for ( int j = 0 ; j < m ; j ++ ) { row . Add ( ans [ i j ]); } result . Add ( row ); } return result ; } //Driver Code Starts static void Main () { int [] grid = new int [] { { 0 1 1 0 } { 1 1 0 0 } { 0 0 1 1 } }; List < List < int >> ans = nearest ( grid ); for ( int i = 0 ; i < ans . Count ; i ++ ) { for ( int j = 0 ; j < ans [ i ]. Count ; j ++ ) { Console . Write ( ans [ i ][ j ] + ' ' ); } Console . WriteLine (); } } } //Driver Code Ends
JavaScript //Driver Code Starts const Denque = require ( 'denque' ); //Driver Code Ends function nearest ( grid ) { let n = grid . length ; let m = grid [ 0 ]. length ; // Initialize answer matrix with Infinity let ans = []; for ( let i = 0 ; i < n ; i ++ ) { ans . push ( new Array ( m ). fill ( Infinity )); } // to store the indices of the cells having 1 let q = new Denque (); // visit each cell of the grid for ( let i = 0 ; i < n ; i ++ ) { for ( let j = 0 ; j < m ; j ++ ) { // if the cell has 1 // then the distance is 0 if ( grid [ i ][ j ] === 1 ) { ans [ i ][ j ] = 0 ; q . push ([ i j ]); } } } // iterate over all the cells // and find the distance of the nearest 1 while ( ! q . isEmpty ()) { let [ x y ] = q . shift (); // check all the four directions let directions = [ [ 0 1 ] [ 0 - 1 ] [ 1 0 ] [ - 1 0 ] ]; for ( let dir of directions ) { let dx = dir [ 0 ]; let dy = dir [ 1 ]; // if the cell is within the grid // and the distance is not calculated yet if ( x + dx >= 0 && x + dx < n && y + dy >= 0 && y + dy < m && ans [ x + dx ][ y + dy ] === Infinity ) { ans [ x + dx ][ y + dy ] = ans [ x ][ y ] + 1 ; q . push ([ x + dx y + dy ]); } } } return ans ; } //Driver Code Starts // Driver Code let grid = [ [ 0 1 1 0 ] [ 1 1 0 0 ] [ 0 0 1 1 ] ]; let ans = nearest ( grid ); for ( let i = 0 ; i < ans . length ; i ++ ) { console . log ( ans [ i ]. join ( ' ' )); } //Driver Code Ends
Produzione
1 0 0 1 0 0 1 1 1 1 0 0Crea quiz
