Bit masking
Lesson 13 of 15 in Coddy's Dynamic Programming 101 course.
Bit masking is a technique used in dynamic programming to optimize solutions that involve subsets or combinations of elements. It involves representing each subset or combination as a bit mask, where each bit in the mask represents the presence or absence of a corresponding element. By using bit manipulation operations, dynamic programming algorithms can efficiently iterate over all possible subsets or combinations without explicitly generating them.
Challenge
HardCount Subsets with a Given Sum
In this challenge, you are given an array of integers and a target sum. Your task is to find the number of subsets of the array that add up to the target sum. You can use bit masking to iterate over all possible subsets of the array and count the number that add up to the target sum.
Try it yourself
def count_subsets(arr, target_sum):
# Write code hereAll lessons in Dynamic Programming 101
3Dynamic programming algorithms
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