Algorithms
  • Introduction
  • Analysis of Algorithms
  • Numbers
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      • Guess Number Higher or Lower
      • First Bad Version
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      • Find Minimum in Rotated Sorted Array
      • Find Minimum in Rotated Sorted Array II
      • Search for a Range
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      • Find K Closest Elements
      • Search in a Sorted Array of Unknown Size
      • Pow(x, n)
      • Valid Perfect Square
      • Find Minimum in Rotated Sorted Array II
      • Intersection of Two Arrays
      • Intersection of Two Arrays II
      • Two Sum II - Input array is sorted
      • Find the Duplicate Number
    • Longest Common Prefix
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      • Add Binary
      • Duplicate Counts
      • Find Duplicates
      • Reverse String
      • Array Partition I
      • Two Sum II - Input array is sorted
      • Remove Element
      • Max Consecutive Ones
      • Minimum Size Subarray Sum
      • Reverse Words in a String
      • Reverse Words in a String III
      • Remove Duplicates from Sorted Array
      • Move Zeroes
      • Rotate Array
      • Rotate Image
      • Best Time to Buy and Sell Stock
      • Best Time to Buy and Sell Stock II
      • Valid Anagram
      • 3Sum
      • String to Integer (atoi)
      • Count and Say
      • Merge Sorted Array
      • Shuffle an Array
      • Max Area of Island
    • Matrix
    • Stack
      • Valid Parentheses
      • Min Stack
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      • Design Linked List
      • Design Doubly Linked List
      • Find Middle Element
      • Doubly Linked List
      • Cyclic Linked List
      • Linked List Cycle II
      • Find Nth Element from End
      • Remove Nth Node From End of List
      • Add Two Numbers
      • Merge Two Sorted Lists
      • Remove Nth Node From End of List
      • Reverse Linked List
      • Remove Linked List Elements
      • Odd Even Linked List
      • Design Doubly Linked List
      • Flatten a Multilevel Doubly Linked List
      • Rotate List
      • Copy List with Random Pointer
      • Insert into a Cyclic Sorted List
      • Delete Node in a Linked List
      • Palindrome Linked List
    • Set
      • Intersection of Two Arrays
      • Single Number
      • Contains Duplicate
      • Contains Duplicate II
      • Jewels and Stones
      • Longest Substring Without Repeating Characters
      • Two Sum III - Data structure design
      • Valid Sudoku
      • Missing Number
    • Map
      • Two Sum
      • Isomorphic Strings
      • Minimum Index Sum of Two Lists
      • First Unique Character in a String
      • Intersection of Two Arrays II
      • Logger Rate Limiter
      • Group Anagrams
      • Group Shifted Strings
      • Find Duplicate Subtrees
      • 4Sum II
      • Top K Frequent Elements
      • Unique Word Abbreviation
      • Insert Delete GetRandom O(1)
    • Binary Tree
      • Binary Tree Preorder Traversal
      • Binary Tree Inorder Traversal
      • Binary Tree Postorder Traversal
      • Binary Tree Level Order Traversal
      • Maximum Depth of Binary Tree
      • Symmetric Tree
      • Path Sum
      • Balanced Binary Tree
      • Count Univalue Subtrees
      • Construct Binary Tree from Inorder and Postorder Traversal
      • Construct Binary Tree from Preorder and Inorder Traversal
      • Populating Next Right Pointers in Each Node
      • Lowest Common Ancestor of a Binary Tree
      • Serialize and Deserialize Binary Tree
      • Median of Two Sorted Arrays
      • Invert Binary Tree
      • Find K-th Smallest Pair Distance
      • Split Array Largest Sum
    • Heap
    • Binary Search Tree
      • Validate Binary Search Tree
      • Inorder Successor in BST
      • Binary Search Tree Iterator
      • Search in a Binary Search Tree
      • Insert into a Binary Search Tree
      • Delete Node in a BST
      • Kth Largest Element in a Stream
      • Lowest Common Ancestor of a Binary Search Tree
      • Contains Duplicate III
      • Height-Balanced BST
        • Balanced Binary Tree
        • Convert Sorted Array to Binary Search Tree
    • Map
    • N-ary Tree
      • N-ary Tree Preorder Traversal
      • N-ary Tree Postorder Traversal
      • N-ary Tree Level Order Traversal
      • Maximum Depth of N-ary Tree
      • Encode N-ary Tree to Binary Tree
      • Serialize and Deserialize N-ary Tree
    • Trie
      • Implement Trie (Prefix Tree)
      • Map Sum Pairs
      • Replace Words
      • Design Search Autocomplete System
      • Maximum XOR of Two Numbers in an Array
      • Add and Search Word - Data structure design
      • Word Search II
      • Word Squares
      • Longest Common Prefix
      • Palindrome Pairs
    • Balanced Tree
      • B-Tree
      • Red-black Tree
      • AVL Tree
    • Graph
      • A* Search
      • Breadth First Search
      • Depth First Search
      • Dijkstra Algorithm
  • Sequences
    • Fibonacci Sequence
  • Dynamic Programming
    • Knapsack problem
    • Climbing Stairs
    • Best Time to Buy and Sell Stock
    • Maximum Subarray
    • House Robber
  • Interviews
    • Google Leetcode
      • Repeated String Match
      • K Empty Slots
      • Next Closest Time
      • Longest Univalue Path
      • License Key Formatting
      • Spiral Matrix
      • Plus One
      • Trapping Rain Water
      • Longest Substring with At Most K Distinct Characters
      • Add Bold Tag in String
      • Game of Life
      • Read N Characters Given Read4
      • Read N Characters Given Read4 II - Call multiple times
      • One Edit Distance
      • Valid Palindrome
      • Valid Number
      • Valid Parentheses
      • Image Smoother
      • Intersection of Two Arrays
      • Max Consecutive Ones
      • Max Consecutive Ones II
      • Shortest Palindrome
      • First Missing Positive
      • First Unique Character in a String
      • Move Zeroes
      • Remove Duplicates from Sorted Array
      • Merge k Sorted Lists
      • Insert into a Cyclic Sorted List
      • Evaluate Division
      • Inorder Successor in BST
      • Robot Room Cleaner
      • Redundant Connection II
      • Course Schedule
      • Validate Binary Search Tree
      • Closest Binary Search Tree Value
      • Word Squares
      • Strobogrammatic Number II
      • Word Search II
      • Android Unlock Patterns
      • Minimum Window Substring
      • Kth Largest Element in an Array
      • Shortest Distance from All Buildings
      • Find K-th Smallest Pair Distance
      • Find K Pairs with Smallest Sums
      • Range Module
      • Insert Interval
      • Sort Transformed Array
      • Merge Intervals
      • Longest Palindromic Substring
      • Next Greater Element I
      • Pacific Atlantic Water Flow
      • Evaluate Reverse Polish Notation
      • Decode Ways
      • Word Break
      • Sentence Screen Fitting
      • Maximum Vacation Days
      • Edit Distance
      • Minimum Path Sum
      • House Robber II
      • Moving Average from Data Stream
      • Peeking Iterator
      • Binary Search Tree Iterator
      • Zigzag Iterator
      • Design Tic-Tac-Toe
      • Range Sum Query 2D - Mutable
      • UTF-8 Validation
      • Maximum Product of Word Lengths
  • Other
    • Game of Life
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  1. Data Structures
  2. Map

Intersection of Two Arrays II

Given two arrays, write a function to compute their intersection.

Example: Given: nums1=[1, 2, 2, 1], nums2=[2, 2], return[2, 2].

And another example:

nums1 = [1, 2, 2, 1, 3, 1]
nums2 = [2, 2, 1, 3, 3]
returns [2, 2, 1, 3]

Note:

  • Each element in the result should appear as many times as it shows in both arrays.

  • The result can be in any order.

Follow up:

  • What if the given array is already sorted? How would you optimize your algorithm?

  • What if nums1's size is small compared to nums2's size? Which algorithm is better?

  • What if elements of nums2 are stored on disk, and the memory is limited such that you cannot load all elements into the memory at once?

Solution

Here is a solution.

class Solution {
    public int[] intersect(int[] nums1, int[] nums2) {
        // iterate through the bigger arra and make counts
        // take the smaller array for comparison to speed it up
        // for each found number, take it, write it into result and decrement by 1
        int[] bigger;
        int[] smaller;
        if (nums1.length > nums2.length) {
            bigger = nums1;
            smaller = nums2;
        } else {
            bigger = nums2;
            smaller = nums1;
        }

        Map<Integer, Integer> map = new HashMap<>();
        for (int i = 0; i < bigger.length; i++) {
            int number = bigger[i];
            int count = map.getOrDefault(number, 0);
            map.put(number, count + 1);
        }

        List<Integer> result = new ArrayList<>();
        for (int i = 0; i < smaller.length; i++) {
            int number = smaller[i];
            if (map.containsKey(number)) {
                int count = map.get(number);
                if (count > 0) {
                    result.add(number);
                    map.put(number, count - 1);
                }
            }
        }

        int[] r = result.stream().mapToInt(Integer::intValue).toArray();
        return r;
    }
}
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