Concatenation of Consecutive Binary Numbers#
Problem statement#
Given an integer n, return the decimal value of the binary string formed by concatenating the binary representations of 1 to n in order, modulo 10^9 + 7.
Example 1#
Input: n = 1
Output: 1
Explanation: "1" in binary corresponds to the decimal value 1.
Example 2#
Input: n = 3
Output: 27
Explanation: In binary, 1, 2, and 3 corresponds to "1", "10", and "11".
After concatenating them, we have "11011", which corresponds to the decimal value 27.
Example 3#
Input: n = 12
Output: 505379714
Explanation: The concatenation results in "1101110010111011110001001101010111100".
The decimal value of that is 118505380540.
After modulo 10^9 + 7, the result is 505379714.
Constraints#
1 <= n <= 10^5.
Solution: Recursive#
There must be some relationship between the result of n and the result of n - 1.
First, let us list some first values of n.
For
n = 1: the final binary string is"1", its decimal value is1.For
n = 2: the final binary string is"110", its decimal value is6.For
n = 3: the final binary string is"11011", its decimal value is27.
Look at n = 3, you can see the relationship between the decimal value of "11011" and the one of "110" (of n = 2) is:
27 = 6 * 2^2 + 3
Dec("11011") = Dec("110") * 2^num_bits("11") + Dec("11")
Result(3) = Result(2) * 2^num_bits(3) + 3.
The same equation for n = 2:
6 = 1 * 2^2 + 2
Dec("110") = Dec("1") * 2^num_bits("10") + Dec("10")
Result(2) = Result(1) * 2^num_bits(2) + 2.
In general, the recursive relationship between n and n - 1 is:
Result(n) = Result(n - 1) * 2^num_bits(n) + n.
Code#
#include <cmath>
#include <iostream>
int concatenatedBinary(int n) {
unsigned long long result = 1;
for (int i = 2; i <= n; i++) {
const int num_bits = std::log2(i) + 1;
result = ((result << num_bits) + i) % 1000000007;
}
return result;
}
int main() {
std::cout << concatenatedBinary(1) << std::endl;
std::cout << concatenatedBinary(3) << std::endl;
std::cout << concatenatedBinary(12) << std::endl;
}
Output:
1
27
505379714
Complexity#
Runtime:
O(n*logn).Extra space:
O(1).
Conclusion#
This solution efficiently calculates the concatenated binary representation of integers from 1 to n, using bitwise operations and modular arithmetic. Note that a << t is equivalent to a * 2^t.