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Add hash table approach
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data_structures/arrays/arrays_intersection.rb
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data_structures/arrays/arrays_intersection.rb
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# Given three integer arrays arr1, arr2 and arr3 sorted in strictly increasing order, return a sorted array of only the integers that appeared in all three arrays.
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#
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# Example 1:
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#
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# Input: arr1 = [1,2,3,4,5], arr2 = [1,2,5,7,9], arr3 = [1,3,4,5,8]
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# Output: [1,5]
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# Explanation: Only 1 and 5 appeared in the three arrays.
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#
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# Example 2:
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#
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# Input: arr1 = [197,418,523,876,1356], arr2 = [501,880,1593,1710,1870], arr3 = [521,682,1337,1395,1764]
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# Output: []
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#
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#
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#
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# Approach: Hash table
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#
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# Complexity Analysis
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# Time Complexity: O(n) - n is the total length of
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# all of the input arrays.
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# Space Complexity: O(n) - n is the total length of all of the
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# input arrays. This is because we adopted a Hash table to store all
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# numbers and their number of appearances as values.
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def arrays_intersection(arr1, arr2, arr3)
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hash = Hash.new(0)
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add_to_hash(arr1, hash)
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add_to_hash(arr2, hash)
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add_to_hash(arr3, hash)
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hash.select { |key, value| value == 3 }.keys
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end
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def add_to_hash(arr, hash)
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arr.each_with_index do |value, index|
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hash[value] += 1
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end
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end
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arr1 = [1,2,3,4,5]
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arr2 = [1,2,5,7,9]
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arr3 = [1,3,4,5,8]
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print arrays_intersection(arr1, arr2, arr3)
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# Output: [1,5]
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# Explanation: Only 1 and 5 appeared in the three arrays.
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arr1 = [197,418,523,876,1356]
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arr2 = [501,880,1593,1710,1870]
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arr3 = [521,682,1337,1395,1764]
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print arrays_intersection(arr1, arr2, arr3)
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# Output: []
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