Statement▼
Given a k
.
Constraints:
1≤n≤10 1≤x≤100 , wherex is any member of the input set1≤ k
≤103
Solution
The solution combines the subsets technique and bitmasking to generate all possible subsets that sum up to k
. By treating each subset as a unique combination represented by a binary number, the solution ensures that all valid subsets are considered. This makes it both comprehensive and optimized for small input sizes.
Now, let’s walk through the steps of the solution.
We initialize a variable,
count
, with the total number of possible subsets using2n , wheren is the length of the input set.We initialize a list,
subsets
, to store all the valid subsets that sum up to the targetk
.We iterate through all possible subsets by exploring all possible groupings. For each number in the input set, there are two possibilities: it can be a number in a
subset
or be left out. This creates a situation where all possible groupings of the numbers are explored.We use bitmasking to include or exclude a number in a
subset
. Imagine each number in the input set having a switch that can be turned on or off. If the switch is on, thesubset
includes the number; if it’s off, it is left out. This way, every possible combination of on and off switches represents a differentsubset
of numbers.After each
subset
is formed by turning on or off these switches, we calculate the sum for eachsubset
and store it in a variablesum
.We continue adding elements to a
subset
until thesum
exceedsk
. If it exceeds, we immediately stop adding elements to thatsubset
, as it can no longer meet the target, and start forming the next subset.We also check whether
sum
of asubset
matchesk
. If it does, we store the currentsubset
in thesubsets
list.Once all subsets have been evaluated, return the list
subsets
containing all subsets whose sum equals the target valuek
.
Let’s look at the following illustration to get a better understanding.