Dato un numero n stampa prima n interi positivi con esattamente due bit impostati nella loro rappresentazione binaria.
Esempi:
Input: n = 3
Output: 3 5 6
The first 3 numbers with two set bits are 3 (0011)
5 (0101) and 6 (0110)
Input: n = 5
Output: 3 5 6 9 10 12
UN Soluzione semplice consiste nel considerare tutti gli interi positivi uno per uno a partire da 1. Per ogni numero verificare se ha esattamente due set di bit. Se un numero ha esattamente due bit impostati, stampalo e incrementa il conteggio di tali numeri.
UN Soluzione efficiente è generare direttamente tali numeri. Se osserviamo chiaramente i numeri possiamo riscriverli come indicato di seguito pow(21)+pow(20) pow(22)+pow(20) pow(22)+pow(21) pow(23)+pow(20) pow(23)+pow(21) pow(23)+pow(22) .........
Tutti i numeri possono essere generati in ordine crescente in base al maggiore dei due bit impostati. L'idea è di correggere il più alto dei due bit uno per uno. Per l'attuale bit impostato più alto, considera tutti i bit più bassi e stampa i numeri formati.
C++
// C++ program to print first n numbers // with exactly two set bits #include using namespace std; // Prints first n numbers with two set bits void printTwoSetBitNums(int n) { // Initialize higher of two sets bits int x = 1; // Keep reducing n for every number // with two set bits. while (n > 0) { // Consider all lower set bits for // current higher set bit int y = 0; while (y < x) { // Print current number cout << (1 << x) + (1 << y) << ' '; // If we have found n numbers n--; if (n == 0) return; // Consider next lower bit for current // higher bit. y++; } // Increment higher set bit x++; } } // Driver code int main() { printTwoSetBitNums(4); return 0; }
Java // Java program to print first n numbers // with exactly two set bits import java.io.*; class GFG { // Function to print first n numbers with two set bits static void printTwoSetBitNums(int n) { // Initialize higher of two sets bits int x = 1; // Keep reducing n for every number // with two set bits while (n > 0) { // Consider all lower set bits for // current higher set bit int y = 0; while (y < x) { // Print current number System.out.print(((1 << x) + (1 << y)) +' '); // If we have found n numbers n--; if (n == 0) return; // Consider next lower bit for current // higher bit. y++; } // Increment higher set bit x++; } } // Driver program public static void main (String[] args) { int n = 4; printTwoSetBitNums(n); } } // This code is contributed by Pramod Kumar
Python3 # Python3 program to print first n # numbers with exactly two set bits # Prints first n numbers # with two set bits def printTwoSetBitNums(n) : # Initialize higher of # two sets bits x = 1 # Keep reducing n for every # number with two set bits. while (n > 0) : # Consider all lower set bits # for current higher set bit y = 0 while (y < x) : # Print current number print((1 << x) + (1 << y) end = ' ' ) # If we have found n numbers n -= 1 if (n == 0) : return # Consider next lower bit # for current higher bit. y += 1 # Increment higher set bit x += 1 # Driver code printTwoSetBitNums(4) # This code is contributed # by Smitha
C# // C# program to print first n numbers // with exactly two set bits using System; class GFG { // Function to print first n // numbers with two set bits static void printTwoSetBitNums(int n) { // Initialize higher of // two sets bits int x = 1; // Keep reducing n for every // number with two set bits while (n > 0) { // Consider all lower set bits // for current higher set bit int y = 0; while (y < x) { // Print current number Console.Write(((1 << x) + (1 << y)) +' '); // If we have found n numbers n--; if (n == 0) return; // Consider next lower bit // for current higher bit. y++; } // Increment higher set bit x++; } } // Driver program public static void Main() { int n = 4; printTwoSetBitNums(n); } } // This code is contributed by Anant Agarwal.
JavaScript <script> // Javascript program to print first n numbers // with exactly two set bits // Prints first n numbers with two set bits function printTwoSetBitNums(n) { // Initialize higher of two sets bits let x = 1; // Keep reducing n for every number // with two set bits. while (n > 0) { // Consider all lower set bits for // current higher set bit let y = 0; while (y < x) { // Print current number document.write((1 << x) + (1 << y) + ' '); // If we have found n numbers n--; if (n == 0) return; // Consider next lower bit for current // higher bit. y++; } // Increment higher set bit x++; } } // Driver code printTwoSetBitNums(4); // This code is contributed by Mayank Tyagi </script>
PHP // PHP program to print // first n numbers with // exactly two set bits // Prints first n numbers // with two set bits function printTwoSetBitNums($n) { // Initialize higher of // two sets bits $x = 1; // Keep reducing n for // every number with // two set bits. while ($n > 0) { // Consider all lower set // bits for current higher // set bit $y = 0; while ($y < $x) { // Print current number echo (1 << $x) + (1 << $y) ' '; // If we have found n numbers $n--; if ($n == 0) return; // Consider next lower // bit for current // higher bit. $y++; } // Increment higher set bit $x++; } } // Driver code printTwoSetBitNums(4); // This code is contributed by Ajit ?> Produzione :
c array di stringhe
3 5 6 9
Complessità temporale: SU)
"qual è la differenza tra un leone e una tigre"
Spazio ausiliario: O(1)
Approccio n. 2: utilizzare while e join
L'approccio consiste nel partire dall'intero 3 e verificare se il numero di bit impostati nella sua rappresentazione binaria è uguale a 2 oppure no. Se ha esattamente 2 bit impostati, aggiungilo all'elenco dei numeri con 2 bit impostati finché l'elenco non avrà n elementi.
Algoritmo
1. Inizializzare una lista vuota res per memorizzare gli interi con esattamente due bit impostati.
2. Inizializzare una variabile intera da i a 3.
3. Mentre la lunghezza dell'elenco res è inferiore a n, procedere come segue:
UN. Controlla se il numero di bit impostati nella rappresentazione binaria di i è uguale a 2 o meno utilizzando il metodo count() della stringa.
B. Se il numero di bit impostati è uguale a 2 allora aggiungi i alla lista res.
C. Incrementa i di 1.
4. Restituisce la lista res.
neve contro ghiaccioC++
#include #include using namespace std; int countSetBits(int num) { int count = 0; while (num > 0) { count += num & 1; num >>= 1; } return count; } vector<int> numbersWithTwoSetBits(int n) { vector<int> res; int i = 3; while (res.size() < n) { if (countSetBits(i) == 2) { res.push_back(i); } i++; } return res; } int main() { int n = 3; vector<int> result = numbersWithTwoSetBits(n); cout << 'Result: '; for (int i = 0; i < result.size(); i++) { cout << result[i] << ' '; } cout << endl; return 0; }
Java // Java program for the above approach import java.util.ArrayList; import java.util.List; public class GFG { // Function to count the number of set bits (binary 1s) // in an integer static int countSetBits(int num) { int count = 0; while (num > 0) { count += num & 1; // Increment count if the last // bit is set (1) num >>= 1; // Right shift to check the next bit } return count; } // Function to generate 'n' numbers with exactly two set // bits in their binary representation static List<Integer> numbersWithTwoSetBits(int n) { List<Integer> res = new ArrayList<>(); int i = 3; // Start from 3 as the first number with // two set bits while (res.size() < n) { if (countSetBits(i) == 2) { // Check if the number has exactly // two set bits res.add( i); // Add the number to the result list } i++; // Move to the next number } return res; } public static void main(String[] args) { int n = 3; // Number of numbers with two set bits to // generate List<Integer> result = numbersWithTwoSetBits( n); // Get the generated numbers for (int num : result) { System.out.print( num + ' '); // Display the generated numbers } System.out.println(); } } // This code is contributed by Susobhan Akhuli
Python3 def numbersWithTwoSetBits(n): res = [] i = 3 while len(res) < n: if bin(i).count('1') == 2: res.append(i) i += 1 return res n = 3 result = numbersWithTwoSetBits(n) output_string = ' '.join(str(x) for x in result) print(output_string)
C# using System; using System.Collections.Generic; class Program { // Function to count the number of set bits (binary 1s) in an integer static int CountSetBits(int num) { int count = 0; while (num > 0) { count += num & 1; // Increment count if the last bit is set (1) num >>= 1; // Right shift to check the next bit } return count; } // Function to generate 'n' numbers with exactly two set bits in their binary representation static List<int> NumbersWithTwoSetBits(int n) { List<int> res = new List<int>(); int i = 3; // Start from 3 as the first number with two set bits while (res.Count < n) { if (CountSetBits(i) == 2) // Check if the number has exactly two set bits { res.Add(i); // Add the number to the result list } i++; // Move to the next number } return res; } static void Main(string[] args) { int n = 3; // Number of numbers with two set bits to generate List<int> result = NumbersWithTwoSetBits(n); // Get the generated numbers Console.Write('Result: '); foreach (int num in result) { Console.Write(num + ' '); // Display the generated numbers } Console.WriteLine(); } }
JavaScript // Javascript program for the above approach // Function to count the number of set bits (binary 1s) // in an integer function countSetBits(num) { let count = 0; while (num > 0) { count += num & 1; // Increment count if the last // bit is set (1) num >>= 1; // Right shift to check the next bit } return count; } // Function to generate 'n' numbers with exactly two set // bits in their binary representation function numbersWithTwoSetBits(n) { let res = []; let i = 3; // Start from 3 as the first number with // two set bits while (res.length < n) { if (countSetBits(i) === 2) { // Check if the number has exactly // two set bits res.push(i); // Add the number to the result list } i++; // Move to the next number } return res; } // Number of numbers with two set bits to generate let n = 3; // Get the generated numbers let result = numbersWithTwoSetBits(n); // Display the generated numbers console.log(result.join(' ')); // This code is contributed by Susobhan Akhuli
Produzione
3 5 6
Complessità temporale: O(n log n) dove n è il numero di numeri interi con esattamente due bit impostati. Questo perché stiamo controllando il numero di bit impostati nella rappresentazione binaria di ciascun intero che impiega tempo O(log n).
Complessità spaziale: O(n) dove n è il numero di interi con esattamente due bit impostati. Questo perché stiamo memorizzando l'elenco dei numeri interi con due bit impostati in memoria.