Pași minimi pentru a ajunge la sfârșitul matricei sub constrângeri
Având în vedere o matrice care conține numere de o cifră doar presupunând că ne aflăm la primul index, trebuie să ajungem la sfârșitul matricei folosind un număr minim de pași, unde într-un singur pas putem sări la indici vecini sau putem sări la o poziție cu aceeași valoare.
Cu alte cuvinte, dacă ne aflăm la indicele i, atunci într-un singur pas puteți ajunge la arr[i-1] sau arr[i+1] sau arr[K] astfel încât arr[K] = arr[i] (valoarea lui arr[K] este aceeași cu arr[i])
Exemple:
Input : arr[] = {5 4 2 5 0} Output : 2 Explanation : Total 2 step required. We start from 5(0) in first step jump to next 5 and in second step we move to value 0 (End of arr[]). Input : arr[] = [0 1 2 3 4 5 6 7 5 4 3 6 0 1 2 3 4 5 7] Output : 5 Explanation : Total 5 step required. 0(0) -> 0(12) -> 6(11) -> 6(6) -> 7(7) -> (18) (inside parenthesis indices are shown) Această problemă poate fi rezolvată folosind BFS . Putem considera matricea dată ca un grafic neponderat în care fiecare vârf are două margini la elementele următoare și anterioare ale matricei și mai multe margini la elementele matricei cu aceleași valori. Acum, pentru procesarea rapidă a celui de-al treilea tip de muchii, păstrăm 10 vectori care stochează toți indicii în care sunt prezente cifrele de la 0 la 9. În exemplul de mai sus, vectorul corespunzător lui 0 va stoca [0 12] 2 indici în care 0 a apărut într-o matrice dată.
Este folosită o altă matrice booleană, astfel încât să nu vizităm același index de mai multe ori. Pe măsură ce folosim BFS și BFS, încasările nivel cu nivel sunt garantate pașii minimi optimi.
Implementare:
C++ // C++ program to find minimum jumps to reach end // of array #include using namespace std ; // Method returns minimum step to reach end of array int getMinStepToReachEnd ( int arr [] int N ) { // visit boolean array checks whether current index // is previously visited bool visit [ N ]; // distance array stores distance of current // index from starting index int distance [ N ]; // digit vector stores indices where a // particular number resides vector < int > digit [ 10 ]; // In starting all index are unvisited memset ( visit false sizeof ( visit )); // storing indices of each number in digit vector for ( int i = 1 ; i < N ; i ++ ) digit [ arr [ i ]]. push_back ( i ); // for starting index distance will be zero distance [ 0 ] = 0 ; visit [ 0 ] = true ; // Creating a queue and inserting index 0. queue < int > q ; q . push ( 0 ); // loop until queue in not empty while ( ! q . empty ()) { // Get an item from queue q. int idx = q . front (); q . pop (); // If we reached to last index break from loop if ( idx == N -1 ) break ; // Find value of dequeued index int d = arr [ idx ]; // looping for all indices with value as d. for ( int i = 0 ; i < digit [ d ]. size (); i ++ ) { int nextidx = digit [ d ][ i ]; if ( ! visit [ nextidx ]) { visit [ nextidx ] = true ; q . push ( nextidx ); // update the distance of this nextidx distance [ nextidx ] = distance [ idx ] + 1 ; } } // clear all indices for digit d because all // of them are processed digit [ d ]. clear (); // checking condition for previous index if ( idx -1 >= 0 && ! visit [ idx - 1 ]) { visit [ idx - 1 ] = true ; q . push ( idx - 1 ); distance [ idx - 1 ] = distance [ idx ] + 1 ; } // checking condition for next index if ( idx + 1 < N && ! visit [ idx + 1 ]) { visit [ idx + 1 ] = true ; q . push ( idx + 1 ); distance [ idx + 1 ] = distance [ idx ] + 1 ; } } // N-1th position has the final result return distance [ N - 1 ]; } // driver code to test above methods int main () { int arr [] = { 0 1 2 3 4 5 6 7 5 4 3 6 0 1 2 3 4 5 7 }; int N = sizeof ( arr ) / sizeof ( int ); cout < < getMinStepToReachEnd ( arr N ); return 0 ; }
Java // Java program to find minimum jumps // to reach end of array import java.util.* ; class GFG { // Method returns minimum step // to reach end of array static int getMinStepToReachEnd ( int arr [] int N ) { // visit boolean array checks whether // current index is previously visited boolean [] visit = new boolean [ N ] ; // distance array stores distance of // current index from starting index int [] distance = new int [ N ] ; // digit vector stores indices where a // particular number resides Vector < Integer > [] digit = new Vector [ 10 ] ; for ( int i = 0 ; i < 10 ; i ++ ) digit [ i ] = new Vector <> (); // In starting all index are unvisited for ( int i = 0 ; i < N ; i ++ ) visit [ i ] = false ; // storing indices of each number // in digit vector for ( int i = 1 ; i < N ; i ++ ) digit [ arr [ i ]] . add ( i ); // for starting index distance will be zero distance [ 0 ] = 0 ; visit [ 0 ] = true ; // Creating a queue and inserting index 0. Queue < Integer > q = new LinkedList <> (); q . add ( 0 ); // loop until queue in not empty while ( ! q . isEmpty ()) { // Get an item from queue q. int idx = q . peek (); q . remove (); // If we reached to last // index break from loop if ( idx == N - 1 ) break ; // Find value of dequeued index int d = arr [ idx ] ; // looping for all indices with value as d. for ( int i = 0 ; i < digit [ d ] . size (); i ++ ) { int nextidx = digit [ d ] . get ( i ); if ( ! visit [ nextidx ] ) { visit [ nextidx ] = true ; q . add ( nextidx ); // update the distance of this nextidx distance [ nextidx ] = distance [ idx ] + 1 ; } } // clear all indices for digit d // because all of them are processed digit [ d ] . clear (); // checking condition for previous index if ( idx - 1 >= 0 && ! visit [ idx - 1 ] ) { visit [ idx - 1 ] = true ; q . add ( idx - 1 ); distance [ idx - 1 ] = distance [ idx ] + 1 ; } // checking condition for next index if ( idx + 1 < N && ! visit [ idx + 1 ] ) { visit [ idx + 1 ] = true ; q . add ( idx + 1 ); distance [ idx + 1 ] = distance [ idx ] + 1 ; } } // N-1th position has the final result return distance [ N - 1 ] ; } // Driver Code public static void main ( String [] args ) { int arr [] = { 0 1 2 3 4 5 6 7 5 4 3 6 0 1 2 3 4 5 7 }; int N = arr . length ; System . out . println ( getMinStepToReachEnd ( arr N )); } } // This code is contributed by 29AjayKumar
Python3 # Python 3 program to find minimum jumps to reach end# of array # Method returns minimum step to reach end of array def getMinStepToReachEnd ( arr N ): # visit boolean array checks whether current index # is previously visited visit = [ False for i in range ( N )] # distance array stores distance of current # index from starting index distance = [ 0 for i in range ( N )] # digit vector stores indices where a # particular number resides digit = [[ 0 for i in range ( N )] for j in range ( 10 )] # storing indices of each number in digit vector for i in range ( 1 N ): digit [ arr [ i ]] . append ( i ) # for starting index distance will be zero distance [ 0 ] = 0 visit [ 0 ] = True # Creating a queue and inserting index 0. q = [] q . append ( 0 ) # loop until queue in not empty while ( len ( q ) > 0 ): # Get an item from queue q. idx = q [ 0 ] q . remove ( q [ 0 ]) # If we reached to last index break from loop if ( idx == N - 1 ): break # Find value of dequeued index d = arr [ idx ] # looping for all indices with value as d. for i in range ( len ( digit [ d ])): nextidx = digit [ d ][ i ] if ( visit [ nextidx ] == False ): visit [ nextidx ] = True q . append ( nextidx ) # update the distance of this nextidx distance [ nextidx ] = distance [ idx ] + 1 # clear all indices for digit d because all # of them are processed # checking condition for previous index if ( idx - 1 >= 0 and visit [ idx - 1 ] == False ): visit [ idx - 1 ] = True q . append ( idx - 1 ) distance [ idx - 1 ] = distance [ idx ] + 1 # checking condition for next index if ( idx + 1 < N and visit [ idx + 1 ] == False ): visit [ idx + 1 ] = True q . append ( idx + 1 ) distance [ idx + 1 ] = distance [ idx ] + 1 # N-1th position has the final result return distance [ N - 1 ] # driver code to test above methods if __name__ == '__main__' : arr = [ 0 1 2 3 4 5 6 7 5 4 3 6 0 1 2 3 4 5 7 ] N = len ( arr ) print ( getMinStepToReachEnd ( arr N )) # This code is contributed by # Surendra_Gangwar
C# // C# program to find minimum jumps // to reach end of array using System ; using System.Collections.Generic ; class GFG { // Method returns minimum step // to reach end of array static int getMinStepToReachEnd ( int [] arr int N ) { // visit boolean array checks whether // current index is previously visited bool [] visit = new bool [ N ]; // distance array stores distance of // current index from starting index int [] distance = new int [ N ]; // digit vector stores indices where a // particular number resides List < int > [] digit = new List < int > [ 10 ]; for ( int i = 0 ; i < 10 ; i ++ ) digit [ i ] = new List < int > (); // In starting all index are unvisited for ( int i = 0 ; i < N ; i ++ ) visit [ i ] = false ; // storing indices of each number // in digit vector for ( int i = 1 ; i < N ; i ++ ) digit [ arr [ i ]]. Add ( i ); // for starting index distance will be zero distance [ 0 ] = 0 ; visit [ 0 ] = true ; // Creating a queue and inserting index 0. Queue < int > q = new Queue < int > (); q . Enqueue ( 0 ); // loop until queue in not empty while ( q . Count != 0 ) { // Get an item from queue q. int idx = q . Peek (); q . Dequeue (); // If we reached to last // index break from loop if ( idx == N - 1 ) break ; // Find value of dequeued index int d = arr [ idx ]; // looping for all indices with value as d. for ( int i = 0 ; i < digit [ d ]. Count ; i ++ ) { int nextidx = digit [ d ][ i ]; if ( ! visit [ nextidx ]) { visit [ nextidx ] = true ; q . Enqueue ( nextidx ); // update the distance of this nextidx distance [ nextidx ] = distance [ idx ] + 1 ; } } // clear all indices for digit d // because all of them are processed digit [ d ]. Clear (); // checking condition for previous index if ( idx - 1 >= 0 && ! visit [ idx - 1 ]) { visit [ idx - 1 ] = true ; q . Enqueue ( idx - 1 ); distance [ idx - 1 ] = distance [ idx ] + 1 ; } // checking condition for next index if ( idx + 1 < N && ! visit [ idx + 1 ]) { visit [ idx + 1 ] = true ; q . Enqueue ( idx + 1 ); distance [ idx + 1 ] = distance [ idx ] + 1 ; } } // N-1th position has the final result return distance [ N - 1 ]; } // Driver Code public static void Main ( String [] args ) { int [] arr = { 0 1 2 3 4 5 6 7 5 4 3 6 0 1 2 3 4 5 7 }; int N = arr . Length ; Console . WriteLine ( getMinStepToReachEnd ( arr N )); } } // This code is contributed by PrinciRaj1992
JavaScript < script > // Javascript program to find minimum jumps // to reach end of array // Method returns minimum step // to reach end of array function getMinStepToReachEnd ( arr N ) { // visit boolean array checks whether // current index is previously visited let visit = new Array ( N ); // distance array stores distance of // current index from starting index let distance = new Array ( N ); // digit vector stores indices where a // particular number resides let digit = new Array ( 10 ); for ( let i = 0 ; i < 10 ; i ++ ) digit [ i ] = []; // In starting all index are unvisited for ( let i = 0 ; i < N ; i ++ ) visit [ i ] = false ; // storing indices of each number // in digit vector for ( let i = 1 ; i < N ; i ++ ) digit [ arr [ i ]]. push ( i ); // for starting index distance will be zero distance [ 0 ] = 0 ; visit [ 0 ] = true ; // Creating a queue and inserting index 0. let q = []; q . push ( 0 ); // loop until queue in not empty while ( q . length != 0 ) { // Get an item from queue q. let idx = q . shift (); // If we reached to last // index break from loop if ( idx == N - 1 ) break ; // Find value of dequeued index let d = arr [ idx ]; // looping for all indices with value as d. for ( let i = 0 ; i < digit [ d ]. length ; i ++ ) { let nextidx = digit [ d ][ i ]; if ( ! visit [ nextidx ]) { visit [ nextidx ] = true ; q . push ( nextidx ); // update the distance of this nextidx distance [ nextidx ] = distance [ idx ] + 1 ; } } // clear all indices for digit d // because all of them are processed digit [ d ] = []; // checking condition for previous index if ( idx - 1 >= 0 && ! visit [ idx - 1 ]) { visit [ idx - 1 ] = true ; q . push ( idx - 1 ); distance [ idx - 1 ] = distance [ idx ] + 1 ; } // checking condition for next index if ( idx + 1 < N && ! visit [ idx + 1 ]) { visit [ idx + 1 ] = true ; q . push ( idx + 1 ); distance [ idx + 1 ] = distance [ idx ] + 1 ; } } // N-1th position has the final result return distance [ N - 1 ]; } // Driver Code let arr = [ 0 1 2 3 4 5 6 7 5 4 3 6 0 1 2 3 4 5 7 ]; let N = arr . length ; document . write ( getMinStepToReachEnd ( arr N )); // This code is contributed by rag2127 < /script>
Ieșire
5
Complexitatea timpului: O(N) unde N este numărul de elemente din tablou.
Complexitatea spațiului: O(N) unde N este numărul de elemente din tablou. Folosim o matrice de distanță și vizită de dimensiune N și o coadă de dimensiune N pentru a stoca indicii matricei.
Creați un test
