Podano je polje števk dolžine n > 1 števk, ki ležijo v območju od 0 do 9. Izvajamo zaporedje spodnjih treh operacij, dokler ne končamo z vsemi števkami
- Izberite začetni dve števki in dodajte ( + )
- Nato se od rezultata zgornjega koraka odšteje naslednja številka (-).
- Rezultat zgornjega koraka se pomnoži ( X ) z naslednjo števko.
Zgornje zaporedje operacij izvedemo linearno s preostalimi števkami.
Naloga je najti, koliko permutacij dane matrike daje pozitiven rezultat po zgornjih operacijah.
Na primer, upoštevajte vnos številke [] = {1 2 3 4 5}. Oglejmo si permutacijo 21345, da pokažemo zaporedje operacij.
- Rezultat seštejte prvi dve števki = 2+1 = 3
- Odštejte naslednjo števko rezultat=rezultat-3= 3-3 = 0
- Pomnožite naslednjo števko rezultat=rezultat*4= 0*4 = 0
- Dodajte naslednjo števko rezultat = rezultat+5 = 0+5 = 5
- rezultat = 5, kar je pozitivno, zato povečajte število za ena
Primeri:
Input : number[]='123' Output: 4 // here we have all permutations // 123 --> 1+2 -> 3-3 -> 0 // 132 --> 1+3 -> 4-2 -> 2 ( positive ) // 213 --> 2+1 -> 3-3 -> 0 // 231 --> 2+3 -> 5-1 -> 4 ( positive ) // 312 --> 3+1 -> 4-2 -> 2 ( positive ) // 321 --> 3+2 -> 5-1 -> 4 ( positive ) // total 4 permutations are giving positive result Input : number[]='112' Output: 2 // here we have all permutations possible // 112 --> 1+1 -> 2-2 -> 0 // 121 --> 1+2 -> 3-1 -> 2 ( positive ) // 211 --> 2+1 -> 3-1 -> 2 ( positive )
Vprašano v: Morgan Stanley
Najprej generiramo vse možne permutacije dane številčne matrike in izvedemo dano zaporedje operacij zaporedno na vsaki permutaciji in preverimo, kateri rezultat permutacije je pozitiven. Spodnja koda preprosto opisuje rešitev problema.
Opomba: Vse možne permutacije lahko ustvarimo z uporabo iterativne metode gl to članek ali pa uporabimo funkcijo STL naslednja_permutacija() funkcijo za ustvarjanje.
C++
// C++ program to find count of permutations that produce // positive result. #include using namespace std; // function to find all permutation after executing given // sequence of operations and whose result value is positive // result > 0 ) number[] is array of digits of length of n int countPositivePermutations(int number[] int n) { // First sort the array so that we get all permutations // one by one using next_permutation. sort(number number+n); // Initialize result (count of permutations with positive // result) int count = 0; // Iterate for all permutation possible and do operation // sequentially in each permutation do { // Stores result for current permutation. First we // have to select first two digits and add them int curr_result = number[0] + number[1]; // flag that tells what operation we are going to // perform // operation = 0 ---> addition operation ( + ) // operation = 1 ---> subtraction operation ( - ) // operation = 0 ---> multiplication operation ( X ) // first sort the array of digits to generate all // permutation in sorted manner int operation = 1; // traverse all digits for (int i=2; i<n; i++) { // sequentially perform + - X operation switch (operation) { case 0: curr_result += number[i]; break; case 1: curr_result -= number[i]; break; case 2: curr_result *= number[i]; break; } // next operation (decides case of switch) operation = (operation + 1) % 3; } // result is positive then increment count by one if (curr_result > 0) count++; // generate next greater permutation until it is // possible } while(next_permutation(number number+n)); return count; } // Driver program to test the case int main() { int number[] = {1 2 3}; int n = sizeof(number)/sizeof(number[0]); cout << countPositivePermutations(number n); return 0; }
Java // Java program to find count of permutations // that produce positive result. import java.util.*; class GFG { // function to find all permutation after // executing given sequence of operations // and whose result value is positive result > 0 ) // number[] is array of digits of length of n static int countPositivePermutations(int number[] int n) { // First sort the array so that we get // all permutations one by one using // next_permutation. Arrays.sort(number); // Initialize result (count of permutations // with positive result) int count = 0; // Iterate for all permutation possible and // do operation sequentially in each permutation do { // Stores result for current permutation. // First we have to select first two digits // and add them int curr_result = number[0] + number[1]; // flag that tells what operation we are going to // perform // operation = 0 ---> addition operation ( + ) // operation = 1 ---> subtraction operation ( - ) // operation = 0 ---> multiplication operation ( X ) // first sort the array of digits to generate all // permutation in sorted manner int operation = 1; // traverse all digits for (int i = 2; i < n; i++) { // sequentially perform + - X operation switch (operation) { case 0: curr_result += number[i]; break; case 1: curr_result -= number[i]; break; case 2: curr_result *= number[i]; break; } // next operation (decides case of switch) operation = (operation + 1) % 3; } // result is positive then increment count by one if (curr_result > 0) count++; // generate next greater permutation until // it is possible } while(next_permutation(number)); return count; } static boolean next_permutation(int[] p) { for (int a = p.length - 2; a >= 0; --a) if (p[a] < p[a + 1]) for (int b = p.length - 1;; --b) if (p[b] > p[a]) { int t = p[a]; p[a] = p[b]; p[b] = t; for (++a b = p.length - 1; a < b; ++a --b) { t = p[a]; p[a] = p[b]; p[b] = t; } return true; } return false; } // Driver Code public static void main(String[] args) { int number[] = {1 2 3}; int n = number.length; System.out.println(countPositivePermutations(number n)); } } // This code is contributed by PrinciRaj1992
Python3 # Python3 program to find count of permutations # that produce positive result. # function to find all permutation after # executing given sequence of operations # and whose result value is positive result > 0 ) # number[] is array of digits of length of n def countPositivePermutations(number n): # First sort the array so that we get # all permutations one by one using # next_permutation. number.sort() # Initialize result (count of permutations # with positive result) count = 0; # Iterate for all permutation possible and # do operation sequentially in each permutation while True: # Stores result for current permutation. # First we have to select first two digits # and add them curr_result = number[0] + number[1]; # flag that tells what operation we are going to # perform # operation = 0 ---> addition operation ( + ) # operation = 1 ---> subtraction operation ( - ) # operation = 0 ---> multiplication operation ( X ) # first sort the array of digits to generate all # permutation in sorted manner operation = 1; # traverse all digits for i in range(2 n): # sequentially perform + - X operation if operation == 0: curr_result += number[i]; else if operation == 1: curr_result -= number[i]; else if operation == 2: curr_result *= number[i]; # next operation (decides case of switch) operation = (operation + 1) % 3; # result is positive then increment count by one if (curr_result > 0): count += 1 # generate next greater permutation until # it is possible if(not next_permutation(number)): break return count; def next_permutation(p): for a in range(len(p)-2 -1 -1): if (p[a] < p[a + 1]): for b in range(len(p)-1 -1000000000 -1): if (p[b] > p[a]): t = p[a]; p[a] = p[b]; p[b] = t; a += 1 b = len(p) - 1 while(a < b): t = p[a]; p[a] = p[b]; p[b] = t; a += 1 b -= 1 return True; return False; # Driver Code if __name__ =='__main__': number = [1 2 3] n = len(number) print(countPositivePermutations(number n)); # This code is contributed by rutvik_56.
C# // C# program to find count of permutations // that produce positive result. using System; class GFG { // function to find all permutation after // executing given sequence of operations // and whose result value is positive result > 0 ) // number[] is array of digits of length of n static int countPositivePermutations(int []number int n) { // First sort the array so that we get // all permutations one by one using // next_permutation. Array.Sort(number); // Initialize result (count of permutations // with positive result) int count = 0; // Iterate for all permutation possible and // do operation sequentially in each permutation do { // Stores result for current permutation. // First we have to select first two digits // and add them int curr_result = number[0] + number[1]; // flag that tells what operation we are going to // perform // operation = 0 ---> addition operation ( + ) // operation = 1 ---> subtraction operation ( - ) // operation = 0 ---> multiplication operation ( X ) // first sort the array of digits to generate all // permutation in sorted manner int operation = 1; // traverse all digits for (int i = 2; i < n; i++) { // sequentially perform + - X operation switch (operation) { case 0: curr_result += number[i]; break; case 1: curr_result -= number[i]; break; case 2: curr_result *= number[i]; break; } // next operation (decides case of switch) operation = (operation + 1) % 3; } // result is positive then increment count by one if (curr_result > 0) count++; // generate next greater permutation until // it is possible } while(next_permutation(number)); return count; } static bool next_permutation(int[] p) { for (int a = p.Length - 2; a >= 0; --a) if (p[a] < p[a + 1]) for (int b = p.Length - 1;; --b) if (p[b] > p[a]) { int t = p[a]; p[a] = p[b]; p[b] = t; for (++a b = p.Length - 1; a < b; ++a --b) { t = p[a]; p[a] = p[b]; p[b] = t; } return true; } return false; } // Driver Code static public void Main () { int []number = {1 2 3}; int n = number.Length; Console.Write(countPositivePermutations(number n)); } } // This code is contributed by ajit..
JavaScript <script> // Javascript program to find count of permutations // that produce positive result. // function to find all permutation after // executing given sequence of operations // and whose result value is positive result > 0 ) // number[] is array of digits of length of n function countPositivePermutations(number n) { // First sort the array so that we get // all permutations one by one using // next_permutation. number.sort(function(a b){return a - b}); // Initialize result (count of permutations // with positive result) let count = 0; // Iterate for all permutation possible and // do operation sequentially in each permutation do { // Stores result for current permutation. // First we have to select first two digits // and add them let curr_result = number[0] + number[1]; // flag that tells what operation we are going to // perform // operation = 0 ---> addition operation ( + ) // operation = 1 ---> subtraction operation ( - ) // operation = 0 ---> multiplication operation ( X ) // first sort the array of digits to generate all // permutation in sorted manner let operation = 1; // traverse all digits for (let i = 2; i < n; i++) { // sequentially perform + - X operation switch (operation) { case 0: curr_result += number[i]; break; case 1: curr_result -= number[i]; break; case 2: curr_result *= number[i]; break; } // next operation (decides case of switch) operation = (operation + 1) % 3; } // result is positive then increment count by one if (curr_result > 0) count++; // generate next greater permutation until // it is possible } while(next_permutation(number)); return count; } function next_permutation(p) { for (let a = p.length - 2; a >= 0; --a) if (p[a] < p[a + 1]) for (let b = p.length - 1;; --b) if (p[b] > p[a]) { let t = p[a]; p[a] = p[b]; p[b] = t; for (++a b = p.length - 1; a < b; ++a --b) { t = p[a]; p[a] = p[b]; p[b] = t; } return true; } return false; } let number = [1 2 3]; let n = number.length; document.write(countPositivePermutations(number n)); </script>
Izhod:
4
Časovna zahtevnost: O(n*n!)
Pomožni prostor: O(1)
Če imate boljšo in optimizirano rešitev za to težavo, jo delite v komentarjih.