Combinatorial optimization problems often involve finding subsets that satisfy a "product-based" constraint. In "The Number of Good Subsets," a subset is considered "good" if the product of its elements can be represented as a product of distinct prime numbers. In other words, the product must be square-free. You are given an array of integers (up to 30), and you need to count the number of good subsets, returning the answer modulo 10^9 + 7.
This the Number of Good Subsets interview question is a very hard problem used by companies like Google to test mastery of bitmask dynamic programming and prime factorization. The small range of the input values (1 to 30) is a massive hint that the solution depends on the properties of these specific numbers, particularly the small number of primes under 30. It evaluates whether you can combine mathematical insights with advanced programming techniques.
This problem utilizes the Array, Math, Bitmask, Bit Manipulation, Dynamic Programming interview pattern.
dp[mask] is the number of ways to form a product whose prime factors are represented by mask.Input [2, 3, 6].
In "The Number of Good Subsets coding problem," a common error is not handling the number 1 correctly; because 1 doesn't change the prime factorization, it can be added to any good subset. Another mistake is forgetting the modulo operation at each step, leading to integer overflow. Finally, many candidates miss the constraint that the product must have distinct primes, meaning numbers like 4 or 9 cannot be used at all.
Bitmask DP is a powerful technique for problems where the state can be represented as a set of small boolean flags (like "is this prime already used?"). Practice identifying these small-range constraints and mapping them to bits. Also, review prime factorization and properties of square-free numbers.