leetcode 190. Reverse Bits 191. Number of 1 Bits

本文介绍了两种实用的位操作技巧:一是反转一个32位无符号整数的位;二是计算一个32位无符号整数中1的个数(汉明重量)。通过具体的C++代码实现展示了如何高效地完成这两种操作。

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190. Reverse Bits

Reverse bits of a given 32 bits unsigned integer.

For example, given input 43261596 (represented in binary as 00000010100101000001111010011100), return 964176192 (represented in binary as 00111001011110000010100101000000).

Follow up:

If this function is called many times, how would you optimize it?


class Solution {
public:
    uint32_t reverseBits(uint32_t n)
    {
        uint32_t ret = n;
        for (int i = 0; i < 16; i ++)
        {
            int left = 31 - i, right = i;
            if ((((n>>left) & 1)  ^ ((n>>right) & 1)) == 0)  //说明要换的那两个位置相同,不用互换
                continue;
            else
            {
                if (((n>>right) & 1) == 1)  //低位是0,高位是1.然后交换为高位1,低位0
                {
                    ret = ret & ~(1<<right);    //设置低位为0
                    ret = ret | (1<<left);      //设置高位为1
                } else {
                    ret = ret & ~(1<<left);    //设置高位为0
                    ret = ret | (1<<right);    //设置低位为1
                }
            }
        }
        return ret;
    }
};


191. Number of 1 Bits

Write a function that takes an unsigned integer and returns the number of ’1' bits it has (also known as the Hamming weight).

For example, the 32-bit integer ’11' has binary representation 00000000000000000000000000001011, so the function should return 3.


class Solution {
public:
    int hammingWeight(uint32_t n) 
    {
        int ret = 0;
        for (int i = 0; i < 32; i++)
            ret += ( ((n>>i) & 1) == 1) ? 1 : 0;
        return ret;
    }
};




### LeetCode Top 100 Popular Problems LeetCode provides an extensive collection of algorithmic challenges designed to help developers prepare for technical interviews and enhance their problem-solving skills. The platform categorizes these problems based on popularity, difficulty level, and frequency asked during tech interviews. The following list represents a curated selection of the most frequently practiced 100 problems from LeetCode: #### Array & String Manipulation 1. Two Sum[^2] 2. Add Two Numbers (Linked List)[^2] 3. Longest Substring Without Repeating Characters #### Dynamic Programming 4. Climbing Stairs 5. Coin Change 6. House Robber #### Depth-First Search (DFS) / Breadth-First Search (BFS) 7. Binary Tree Level Order Traversal[^3] 8. Surrounded Regions 9. Number of Islands #### Backtracking 10. Combination Sum 11. Subsets 12. Permutations #### Greedy Algorithms 13. Jump Game 14. Gas Station 15. Task Scheduler #### Sliding Window Technique 16. Minimum Size Subarray Sum 17. Longest Repeating Character Replacement #### Bit Manipulation 18. Single Number[^1] 19. Maximum Product of Word Lengths 20. Reverse Bits This list continues up until reaching approximately 100 items covering various categories including but not limited to Trees, Graphs, Sorting, Searching, Math, Design Patterns, etc.. Each category contains multiple representative questions that cover fundamental concepts as well as advanced techniques required by leading technology companies when conducting software engineering candidate assessments. For those interested in improving logical thinking through gaming activities outside traditional study methods, certain types of video games have been shown beneficial effects similar to engaging directly within competitive coding platforms [^4]. --related questions-- 1. How does participating in online coding competitions benefit personal development? 2. What specific advantages do DFS/BFS algorithms offer compared to other traversal strategies? 3. Can you provide examples illustrating how bit manipulation improves performance efficiency? 4. In what ways might regular participation in programming contests influence job interview success rates? 5. Are there any notable differences between solving problems on paper versus implementing solutions programmatically?
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