In LockedIn, we have a list of influencers and their respective follower counts. We want to find a subset of influencers whose total follower count is equal to a target number.
This problem is known as the Subset Sum Problem, which is an NP-hard problem. It asks the question, "Can we pick numbers from a list to add up to a target number?"
Complete the subset_sum function.
It should take a list of integers nums and an integer target, and return True if there exists a subset of nums that adds up to target, and False otherwise. We'll use a recursive, brute-force approach to solve the problem. Brute-force just means we'll try every possible combination to see if any of them add up to the target.
subset_sum(nums, target)nums: A list of integers representing the follower counts of influencers.target: The target sum we want to find a subset for.True if there exists a subset of nums that adds up to target. False otherwise.
nums and return its result.find_subset_sum(nums, target, index)nums: A list of integers representing the follower counts of influencers.target: The target sum we want to find a subset for.index: The index of the current element we're considering.True if there exists a subset of nums that adds up to target. False otherwise.
target is 0, return True.0 and the target is not 0, return False.target, call the helper function with the same target but with the index decremented by 1, and return the result, we're done.target and index decremented by 1, and save the result.target reduced by the value of the current element and the index decremented by 1True, return True. Otherwise, return False.