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  • 338. 1的位数 Counting Bits

    Given a non negative integer number num. For every numbers i in the range 0 ≤ i ≤ num calculate the number of 1's in their binary representation and return them as an array.

    Example:
    For num = 5 you should return [0,1,1,2,1,2].

    Follow up:

    • It is very easy to come up with a solution with run time O(n*sizeof(integer)). But can you do it in linear time O(n) /possibly in a single pass?
    • Space complexity should be O(n).
    • Can you do it like a boss? Do it without using any builtin function like __builtin_popcount in c++ or in any other language.

    Hint:

    1. You should make use of what you have produced already.
    2. Divide the numbers in ranges like [2-3], [4-7], [8-15] and so on. And try to generate new range from previous.


    规律:

    i等于二的N次幂时,Hamming weight为 1.

    HammingWeight(2) = 1

    HammingWeight(3) = HammingWeight(2) + HammingWeight(1) = 2

    ......

    HammingWeight(8) = 1

    HammingWeight(9) = HammingWeight(8) + HammingWeight(1) = 2

    HammingWeight(10) = HammingWeight(8) + HammingWeight(2) = 2

    HammingWeight(11) = HammingWeight(8) + HammingWeight(2) = 3


    1. static public int[] CountBits(int n)
    2. {
    3. int[] arr = new int[n + 1];
    4. arr[0] = 0;
    5. int pow2 = 2;
    6. int before = 1;
    7. for (int i = 1; i < n + 1; i++)
    8. {
    9. if (i == pow2)
    10. {
    11. arr[i] = 1;
    12. before = 1;
    13. pow2 <<= 1;
    14. }
    15. else
    16. {
    17. arr[i] = arr[before] + 1;
    18. before++;
    19. }
    20. }
    21. return arr;
    22. }





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  • 原文地址:https://www.cnblogs.com/xiejunzhao/p/cce4e58a8ac2624fd987b8c7cf89355d.html
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