Parity: Parity of a number refers to whether it
contains an odd or even number of 1-bits. The number has “odd parity”,
if it contains odd number of 1-bits and is “even parity” if it contains
even number of 1-bits.
Main idea of the below solution is – Loop while n is not 0 and in loop unset one of the set bits and invert parity.
Above solution can be optimized by using lookup table.
Time Complexity: The time taken by above algorithm is proportional to the number of bits set. Worst case complexity is O(Logn).
Uses: Parity is used in error detection and cryptography.
Main idea of the below solution is – Loop while n is not 0 and in loop unset one of the set bits and invert parity.
Algorithm: getParity(n) 1. Initialize parity = 0 2. Loop while n != 0 a. Invert parity parity = !parity b. Unset rightmost set bit n = n & (n-1) 3. return parity Example: Initialize: n = 13 (1101) parity = 0 n = 13 & 12 = 12 (1100) parity = 1 n = 12 & 11 = 8 (1000) parity = 0 n = 8 & 7 = 0 (0000) parity = 1
Code:
# include <stdio.h> # define bool int bool getParity(unsigned int n) { bool parity = 0; while (n) { parity = !parity; n = n & (n - 1); } return parity; } int main() { unsigned int n = 7; printf ( "Parity of no %d = %s" , n, (getParity(n)? "odd" : "even" )); getchar (); return 0; } |
Time Complexity: The time taken by above algorithm is proportional to the number of bits set. Worst case complexity is O(Logn).
Uses: Parity is used in error detection and cryptography.
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