The Concatenated Divisibility coding problem is a complex mathematical and algorithmic challenge. You are given an array of integers and a target value k. Your goal is to find the number of pairs such that the concatenation of array[i] and array[j] is divisible by k. For example, if the numbers are 12 and 345, their concatenation is 12345. The brute-force approach involves checking every possible pair, but for large arrays, this becomes computationally expensive.
Meta often uses the Concatenated Divisibility interview question to test a candidate's mastery of Number Theory and Modular Arithmetic. It requires transforming a string-like operation (concatenation) into a mathematical formula: Concat(A, B) = A * 10^(length of B) + B. This tests if you can move beyond simple simulation to find an optimized solution using Frequency Maps and the properties of remainders.
This problem utilizes Modular Arithmetic and Pre-computation with Hash Maps.
(A * 10^L + B) % k == 0 can be rewritten as (A * 10^L) % k == -B % k.L (from 1 to 10), pre-calculate the remainder of (A * 10^L) % k for all numbers in the array.L.B in the array, find its length L_B and its remainder r = B % k. Look up how many numbers A satisfy the condition using the map for L_B.Suppose array = [12, 3], k = 3.
12 and 3: 123. 123 % 3 = 0. (Match!)3 and 12: 312. 312 % 3 = 0. (Match!)
The formula approach:12 * 10^1 + 3 = 120 + 3 = 123.3 * 10^2 + 12 = 300 + 12 = 312.
By checking remainders against a map, we can count these without actually forming the large concatenated numbers.-B % k should be handled as (k - (B % k)) % k to ensure a positive remainder in languages like Java or C++.long or 64-bit integers for the intermediate product A * 10^L, which can easily exceed the 32-bit integer limit.Master the distributive property of the modulo operator: (A + B) % k = ((A % k) + (B % k)) % k. This is the foundation for optimizing many "Hard" level math problems in coding interviews.