啊,又是好久没来了!
最近又开始刷leetcode,发现题目多了不少。还是从基础开始做吧。
这里是两道关于位运算的题。
1. Hamming Distance
题目链接在此
The Hamming distance between two integers is the number of positions at which the corresponding bits are different.
Given two integers x
and y
, calculate the Hamming distance.
Note:0 ≤ x
, y
< 231.
Example:
Input: x = 1, y = 4Output: 2Explanation:1 (0 0 0 1)4 (0 1 0 0) ↑ ↑The above arrows point to positions where the corresponding bits are different.就是数一下两个二进制数之间有位数有区别。很简单,先异或,再数有多少个1。
输多少个1那一步,我写的这篇博客有。
这里是我在不记得大神的做法的情况下,自己写的(3ms):
class Solution {public: int hammingDistance(int x, int y) { int a = x ^ y; int count = 0; while (a != 0) { count += (a & 1); a >>= 1; } return count; }};2. Number Complement
题目链接在此Given a positive integer, output its complement number. The complement strategy is to flip the bits of its binary rePResentation.
Note:
The given integer is guaranteed to fit within the range of a 32-bit signed integer.You could assume no leading zero bit in the integer’s binary representation.Example 1:
Input: 5Output: 2Explanation: The binary representation of 5 is 101 (no leading zero bits), and its complement is 010. So you need to output 2.Example 2:
Input: 1Output: 0Explanation: The binary representation of 1 is 1 (no leading zero bits), and its complement is 0. So you need to output 0.补码定义为二进制每位都翻转后得到的数字。这是我写的,就是先算出这个数的二进制有多少位,然后用这么多位的1跟他做异或。比如2的二进制是10,有两位, 就拿11和10做异或,得到01。显然比较慢:class Solution {public: int findComplement(int num) { int n = num; int bits = 0; while(n) { bits++; n >>= 1; } return num ^ int(pow(2.0, bits) - 1); }};这是discuss里的大神的做法:class Solution {public: int findComplement(int num) { unsigned mask = ~0; while (num & mask) mask <<= 1; return ~mask & ~num; }};例子:num = 00000101mask = 11111000~mask & ~num = 00000010
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