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intersection of two arrays leetcode 349 python

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certainly! the problem "intersection of two arrays" (leetcode 349) requires you to find the intersection of two arrays, which means to find the common elements that exist in both arrays. each element in the result should be unique, even if it appears multiple times in the input arrays.
problem statement
given two arrays, `nums1` and `nums2`, return a new array containing the intersection of the two arrays. the result should be in the form of a set, meaning that each element should be unique.
example
approach
to solve this problem, we can use the following steps:
1. convert both input arrays to sets. this will help us eliminate duplicates and allow for efficient membership testing.
2. use the set intersection operation to find common elements.
3. convert the result back to a list (if required) before returning it.
code example
here is a python implementation of the above approach:
explanation of the code
1. **set conversion**: we convert the input lists `nums1` and `nums2` into sets `set1` and `set2`. this automatically removes any duplicate elements within each array.
2. **intersection**: we use the `intersection()` method to find common elements between the two sets.
3. **return list**: finally, we convert the resulting set back to a list so that it can be returned in the required format.
complexity analysis
- **time complexity**: o(n + m), where n is the length of `nums1` and m is the length of `nums2`. converting the lists to sets and finding the intersection are both linear operations.
- **space complexity**: o(n + m) in the worst case, as we store both input arrays in sets.
conclusion
this approach is efficient and straightforward, leveraging the properties of sets in python to achieve the desired outcome. you can further optimize or modify the solution based on specific constraints or requirements, but this covers a general case for the intersection of two arrays.
certainly! the problem of finding the intersection of two arrays is a classic c ...
#IntersectionOfArrays #LeetCode #coding
intersection of two arrays
leetcode 349
python
array intersection
common elements
set intersection
list comparison
algorithm
coding challenge
data structures
problem solving
unique elements
two-pointer technique
efficient solution
Python programming
problem statement
given two arrays, `nums1` and `nums2`, return a new array containing the intersection of the two arrays. the result should be in the form of a set, meaning that each element should be unique.
example
approach
to solve this problem, we can use the following steps:
1. convert both input arrays to sets. this will help us eliminate duplicates and allow for efficient membership testing.
2. use the set intersection operation to find common elements.
3. convert the result back to a list (if required) before returning it.
code example
here is a python implementation of the above approach:
explanation of the code
1. **set conversion**: we convert the input lists `nums1` and `nums2` into sets `set1` and `set2`. this automatically removes any duplicate elements within each array.
2. **intersection**: we use the `intersection()` method to find common elements between the two sets.
3. **return list**: finally, we convert the resulting set back to a list so that it can be returned in the required format.
complexity analysis
- **time complexity**: o(n + m), where n is the length of `nums1` and m is the length of `nums2`. converting the lists to sets and finding the intersection are both linear operations.
- **space complexity**: o(n + m) in the worst case, as we store both input arrays in sets.
conclusion
this approach is efficient and straightforward, leveraging the properties of sets in python to achieve the desired outcome. you can further optimize or modify the solution based on specific constraints or requirements, but this covers a general case for the intersection of two arrays.
certainly! the problem of finding the intersection of two arrays is a classic c ...
#IntersectionOfArrays #LeetCode #coding
intersection of two arrays
leetcode 349
python
array intersection
common elements
set intersection
list comparison
algorithm
coding challenge
data structures
problem solving
unique elements
two-pointer technique
efficient solution
Python programming