Related Articles
Count set bits in an integer using Lookup Table
• Difficulty Level : Expert
• Last Updated : 29 Jan, 2018

Write an efficient program to count number of 1s in binary representation of an integer.

Examples

```Input : n = 6
Output : 2
Binary representation of 6 is 110
and has 2 set bits

Input : n = 13
Output : 3
Binary representation of 11 is 1101
and has 3 set bits
```

## Recommended: Please try your approach on {IDE} first, before moving on to the solution.

In the previous post we had seen different method that solved this problem in O(log n) time. In this post we solve in O(1) using lookup table. Here we assume that the size of INT is 32-bits. It’s hard to count all 32 bits in one go using lookup table (” because it’s infeasible to create lookup table of size 232-1 “). So we break 32 bits into 8 bits of chunks( ow lookup table of size (28-1 ) index : 0-255 ).

LookUp Table
In lookup tale, we store count of set_bit of every
number that are in a range (0-255)
LookupTable = 0 | binary 00000000 CountSetBits 0
LookupTable = 1 | binary 00000001 CountSetBits 1
LookupTable = 1 | binary 00000010 CountSetBits 1
LookupTanle = 2 | binary 00000011 CountSetBits 2
LookupTable = 1 | binary 00000100 CountSetBits 1
and so…on upto LookupTable.

Let’s take an Example How lookup table work.

```Let's number be : 354
in Binary : 0000000000000000000000101100010

Split it into 8 bits chunks  :
In Binary  :  00000000 | 00000000 | 00000001 | 01100010
In decimal :     0          0          1         98

Now Count Set_bits using LookupTable
LookupTable = 0
LookupTable = 1
LookupTable = 3

so Total bits count : 4
```
 `// c++ count to count number of set bits``// using lookup table in O(1) time`` ` `#include ``using` `namespace` `std;`` ` `// Generate a lookup table for 32 bit integers``#define B2(n) n, n + 1, n + 1, n + 2``#define B4(n) B2(n) \, B2(n + 1), B2(n + 1), B2(n + 2)``#define B6(n) B4(n) \, B4(n + 1), B4(n + 1), B4(n + 2)`` ` `// Lookup table that store the reverse of each table``unsigned ``int` `lookuptable = { B6(0), B6(1), B6(1), B6(2) };`` ` `// function countset Bits Using lookup table``// ans return set bits count``unsigned ``int` `countSetBits(``int` `N)``{``    ``// first chunk of 8 bits from right``    ``unsigned ``int` `count = lookuptable[N & 0xff] +`` ` `                         ``// second chunk from  right``                         ``lookuptable[(N >> 8) & 0xff] + ``                          ` `                         ``// third and fourth chunks``                         ``lookuptable[(N >> 16) & 0xff] + ``                         ``lookuptable[(N >> 24) & 0xff];``    ``return` `count;``}`` ` `int` `main()``{``    ``// generate lookup table``    ``for` `(``int` `i = 0; i < 256; i++)``        ``lookuptable[i] = (i & 1) + lookuptable[i / 2];`` ` `    ``unsigned ``int` `N = 354;``    ``cout << countSetBits(N) << endl;`` ` `    ``return` `0;``}`

Output:

```4
```

Time Complexity : O(1)

My Personal Notes arrow_drop_up