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This approach leverages the properties of remainders in modular arithmetic. We try to construct a number which consists of only '1's and is divisible by k
. We start with the number 1
and find its remainder with k
. Then, iteratively, we add another 1
at the right (equivalent to multiply by 10 and add 1) and find the new remainder. We repeat this process until the remainder becomes 0 or a repetition is detected.
If we encounter a remainder that we have seen before, it indicates a cycle, and there is no such number n
that will satisfy the condition, hence return -1.
Time Complexity: O(k), as we check for valid remainder up to k possible cases.
Space Complexity: O(1), only a few variables are used.
1function smallestRepunitDivByK(k) {
2 let remainder = 0;
3 for (let length = 1; length <= k; length++) {
4 remainder = (remainder * 10 + 1) % k;
5 if (remainder === 0) return length;
6 }
7 return -1;
8}
9
10console.log(smallestRepunitDivByK(3));
In JavaScript, we use an iterative approach to keep constructing numbers using the remainder. The method effectively finds the smallest number made of '1's divisible by k
by examining possible cycles within k
tries.
This approach still utilizes the modulus technique but introduces a digit construction method. Essentially, instead of just checking the length, we can construct the number step-by-step while simultaneously detecting cycles. The cycle detection ensures we do not repeat remainder calculations unnecessarily, identifying when no solution exists faster.
The goal remains to build a number consisting only of '1's that is divisible by k
. The difference here is the emphasis on cycle and digit tracking during construction.
Time Complexity: O(k).
Space Complexity: O(k), due to the use of the visited_remainders
array.
Here, we include an additional array to track each remainder used. A cycle is detected if the same remainder appears twice before finding a solution. Using visited_remainders
, we store each state and verify conditions for possible cycles. This strategy optimizes cycle detection and avoids unnecessary computations.