LeetCode 350 - Intersection of Two Arrays


https://leetcode.com/problems/intersection-of-two-arrays-ii/
Given two arrays, write a function to compute their intersection.
Example 1:
Input: nums1 = [1,2,2,1], nums2 = [2,2]
Output: [2,2]
Example 2:
Input: nums1 = [4,9,5], nums2 = [9,4,9,8,4]
Output: [4,9]
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?
https://leetcode.com/problems/intersection-of-two-arrays-ii/discuss/82241/AC-solution-using-Java-HashMap
    public int[] intersect(int[] nums1, int[] nums2) {
        HashMap<Integer, Integer> map = new HashMap<Integer, Integer>();
        ArrayList<Integer> result = new ArrayList<Integer>();
        for(int i = 0; i < nums1.length; i++)
        {
            if(map.containsKey(nums1[i])) map.put(nums1[i], map.get(nums1[i])+1);
            else map.put(nums1[i], 1);
        }
    
        for(int i = 0; i < nums2.length; i++)
        {
            if(map.containsKey(nums2[i]) && map.get(nums2[i]) > 0)
            {
                result.add(nums2[i]);
                map.put(nums2[i], map.get(nums2[i])-1);
            }
        }
    
       int[] r = new int[result.size()];
       for(int i = 0; i < result.size(); i++)
       {
           r[i] = result.get(i);
       }
    
       return r;
    }

https://leetcode.com/problems/intersection-of-two-arrays-ii/discuss/82238/4ms-java-solution
        Arrays.sort(nums1);
        Arrays.sort(nums2);
        int pnt1 = 0;
        int pnt2 = 0;
        ArrayList<Integer> myList = new ArrayList<Integer>();
        while((pnt1 < nums1.length) &&(pnt2< nums2.length)){
            if(nums1[pnt1]<nums2[pnt2]){
                pnt1++;
            }
            else{
                if(nums1[pnt1]>nums2[pnt2]){
                    pnt2++;
                }
                else{
                    myList.add(nums1[pnt1]);
                    pnt1++;
                    pnt2++;
                }
            }
        }
        int[] res = new int[myList.size()];
        for(int i = 0; i<res.length; i++){
            res[i] = (Integer)myList.get(i);
        }
        return res;


https://www.programcreek.com/2014/05/leetcode-intersection-of-two-arrays-ii-java/


https://github.com/mintycc/OnlineJudge-Solutions/blob/master/Leetcode/349_Intersection_of_Two_Arrays.java
1. `List<Integer> ans = new ArrayList<Integer>();`
2. `l = mid + 1;` -> `int mid = (l + r) / 2 - 1;`
3. return value
4. binarySearch nums2[] maybe null
*/
class Solution {
    public int[] intersection(int[] nums1, int[] nums2) {
        Arrays.sort(nums1);
        Arrays.sort(nums2);
        List<Integer> ans = new ArrayList<Integer>();
        for (int i = 0; i < nums1.length; i ++) {
            if (binarySearch(nums2, nums1[i]))
                ans.add(nums1[i]);
            while (i + 1 < nums1.length && nums1[i + 1] == nums1[i]) i ++;
        }
        
        int[] rtn = new int[ans.size()];
        for (int i = 0; i < ans.size(); i ++)
            rtn[i] = ans.get(i);
        return rtn;
    }
    
    private boolean binarySearch(int[] nums, int target) {
        if (nums.length == 0) return false;
        int l = 0, r = nums.length;
        while (l < r - 1) {
            int mid = (l + r) / 2 - 1;
            if (nums[mid] == target) return true;
            if (nums[mid] < target) l = mid + 1;
            else r = mid;
        }
        return nums[l] == target;
    }
}

class Solution {
    public int[] intersection(int[] nums1, int[] nums2) {
        Set<Integer> set = new HashSet<>();
        for (int num : nums1)
            set.add(num);
        Set<Integer> ans = new HashSet<>();
        for (int num : nums2)
            if (set.contains(num))
                ans.add(num);
        int[] rtn = new int[ans.size()];
        int count = 0;
        for (int num : ans)
            rtn[count ++] = num;
        return rtn;
    }
    public int[] intersect(int[] nums1, int[] nums2) {
        Arrays.sort(nums1);
        Arrays.sort(nums2);
        int i = 0, j = 0;
        List<Integer> ans = new ArrayList<>();
        while (i < nums1.length && j < nums2.length)
            if (nums1[i] < nums2[j]) i ++;
            else if (nums1[i] > nums2[j]) j ++;
            else {
                ans.add(nums1[i]);
                i ++; j ++;
            }
        
        int[] rtn = new int[ans.size()];
        for (i = 0; i < ans.size(); i ++)
            rtn[i] = ans.get(i);
        return rtn;
    }
}

// border + BinarySearch
class Solution {
    public int[] intersect(int[] nums1, int[] nums2) {
        Arrays.sort(nums1);
        Arrays.sort(nums2);
        int floor = 0;
        List<Integer> ans = new ArrayList<>();
        for (int num : nums1) {
            int tmp = binarySearch(nums2, num, floor);
            if (tmp > -1) {
                ans.add(num);
                floor = tmp + 1;
            }
        }
        int[] rtn = new int[ans.size()];
        for (int i = 0; i < ans.size(); i ++)
            rtn[i] = ans.get(i);
        return rtn;
    }
    
    private int binarySearch(int[] nums, int target, int floor) {
        if (floor >= nums.length) return -1;
        int l = floor, r = nums.length;
        while (l < r - 1) {
            int mid = l + (r - l) / 2 - 1;
            if (nums[mid] < target) l = mid + 1;
            else r = mid + 1;
        }
        if (nums[l] == target) return l;
        return -1;
    }

1. 如果两个array分别是[1, 2, 3, 4, .... 10000]以及[1, 2, 4, 10001], 如果
⽤用两个指针遍历runtime是10000, 事实上intersection只出现在前四个位
置,怎么improve
2. 有重复元素和⽆无重复元素版本
3. ⼀一个数组⼤大,⼀一个数组⼩小
4. 两个数组都很⼤大
5. 这题和leetcode原题还不不⼀一样。这题要求输出所有inersection, 不不能去
重。⽤用two pointer 做可以搞定。最后她加我⽤用⼆二分法写⼀一遍,然后我卡
在加⼊入重复这⾥里里。我给的思路路是找lower bound,然后两个数组同时向前
移动。貌似也不不是她想要得,她最后给出的解答是每⼀一次找到相同的元
素,更更新⼆二分区间到找到的元素下⼀一个到数组结尾。
6. https://articles.leetcode.com/here-is-phone-screening-question-from/



Labels

LeetCode (1432) GeeksforGeeks (1122) LeetCode - Review (1067) Review (882) Algorithm (668) to-do (609) Classic Algorithm (270) Google Interview (237) Classic Interview (222) Dynamic Programming (220) DP (186) Bit Algorithms (145) POJ (141) Math (137) Tree (132) LeetCode - Phone (129) EPI (122) Cracking Coding Interview (119) DFS (115) Difficult Algorithm (115) Lintcode (115) Different Solutions (110) Smart Algorithm (104) Binary Search (96) BFS (91) HackerRank (90) Binary Tree (86) Hard (79) Two Pointers (78) Stack (76) Company-Facebook (75) BST (72) Graph Algorithm (72) Time Complexity (69) Greedy Algorithm (68) Interval (63) Company - Google (62) Geometry Algorithm (61) Interview Corner (61) LeetCode - Extended (61) Union-Find (60) Trie (58) Advanced Data Structure (56) List (56) Priority Queue (53) Codility (52) ComProGuide (50) LeetCode Hard (50) Matrix (50) Bisection (48) Segment Tree (48) Sliding Window (48) USACO (46) Space Optimization (45) Company-Airbnb (41) Greedy (41) Mathematical Algorithm (41) Tree - Post-Order (41) ACM-ICPC (40) Algorithm Interview (40) Data Structure Design (40) Graph (40) Backtracking (39) Data Structure (39) Jobdu (39) Random (39) Codeforces (38) Knapsack (38) LeetCode - DP (38) Recursive Algorithm (38) String Algorithm (38) TopCoder (38) Sort (37) Introduction to Algorithms (36) Pre-Sort (36) Beauty of Programming (35) Must Known (34) Binary Search Tree (33) Follow Up (33) prismoskills (33) Palindrome (32) Permutation (31) Array (30) Google Code Jam (30) HDU (30) Array O(N) (29) Logic Thinking (29) Monotonic Stack (29) Puzzles (29) Code - Detail (27) Company-Zenefits (27) Microsoft 100 - July (27) Queue (27) Binary Indexed Trees (26) TreeMap (26) to-do-must (26) 1point3acres (25) GeeksQuiz (25) Merge Sort (25) Reverse Thinking (25) hihocoder (25) Company - LinkedIn (24) Hash (24) High Frequency (24) Summary (24) Divide and Conquer (23) Proof (23) Game Theory (22) Topological Sort (22) Lintcode - Review (21) Tree - Modification (21) Algorithm Game (20) CareerCup (20) Company - Twitter (20) DFS + Review (20) DP - Relation (20) Brain Teaser (19) DP - Tree (19) Left and Right Array (19) O(N) (19) Sweep Line (19) UVA (19) DP - Bit Masking (18) LeetCode - Thinking (18) KMP (17) LeetCode - TODO (17) Probabilities (17) Simulation (17) String Search (17) Codercareer (16) Company-Uber (16) Iterator (16) Number (16) O(1) Space (16) Shortest Path (16) itint5 (16) DFS+Cache (15) Dijkstra (15) Euclidean GCD (15) Heap (15) LeetCode - Hard (15) Majority (15) Number Theory (15) Rolling Hash (15) Tree Traversal (15) Brute Force (14) Bucket Sort (14) DP - Knapsack (14) DP - Probability (14) Difficult (14) Fast Power Algorithm (14) Pattern (14) Prefix Sum (14) TreeSet (14) Algorithm Videos (13) Amazon Interview (13) Basic Algorithm (13) Codechef (13) Combination (13) Computational Geometry (13) DP - Digit (13) LCA (13) LeetCode - DFS (13) Linked List (13) Long Increasing Sequence(LIS) (13) Math-Divisible (13) Reservoir Sampling (13) mitbbs (13) Algorithm - How To (12) Company - Microsoft (12) DP - Interval (12) DP - Multiple Relation (12) DP - Relation Optimization (12) LeetCode - Classic (12) Level Order Traversal (12) Prime (12) Pruning (12) Reconstruct Tree (12) Thinking (12) X Sum (12) AOJ (11) Bit Mask (11) Company-Snapchat (11) DP - Space Optimization (11) Dequeue (11) Graph DFS (11) MinMax (11) Miscs (11) Princeton (11) Quick Sort (11) Stack - Tree (11) 尺取法 (11) 挑战程序设计竞赛 (11) Coin Change (10) DFS+Backtracking (10) Facebook Hacker Cup (10) Fast Slow Pointers (10) HackerRank Easy (10) Interval Tree (10) Limited Range (10) Matrix - Traverse (10) Monotone Queue (10) SPOJ (10) Starting Point (10) States (10) Stock (10) Theory (10) Tutorialhorizon (10) Kadane - Extended (9) Mathblog (9) Max-Min Flow (9) Maze (9) Median (9) O(32N) (9) Quick Select (9) Stack Overflow (9) System Design (9) Tree - Conversion (9) Use XOR (9) Book Notes (8) Company-Amazon (8) DFS+BFS (8) DP - States (8) Expression (8) Longest Common Subsequence(LCS) (8) One Pass (8) Quadtrees (8) Traversal Once (8) Trie - Suffix (8) 穷竭搜索 (8) Algorithm Problem List (7) All Sub (7) Catalan Number (7) Cycle (7) DP - Cases (7) Facebook Interview (7) Fibonacci Numbers (7) Flood fill (7) Game Nim (7) Graph BFS (7) HackerRank Difficult (7) Hackerearth (7) Inversion (7) Kadane’s Algorithm (7) Manacher (7) Morris Traversal (7) Multiple Data Structures (7) Normalized Key (7) O(XN) (7) Radix Sort (7) Recursion (7) Sampling (7) Suffix Array (7) Tech-Queries (7) Tree - Serialization (7) Tree DP (7) Trie - Bit (7) 蓝桥杯 (7) Algorithm - Brain Teaser (6) BFS - Priority Queue (6) BFS - Unusual (6) Classic Data Structure Impl (6) DP - 2D (6) DP - Monotone Queue (6) DP - Unusual (6) DP-Space Optimization (6) Dutch Flag (6) How To (6) Interviewstreet (6) Knapsack - MultiplePack (6) Local MinMax (6) MST (6) Minimum Spanning Tree (6) Number - Reach (6) Parentheses (6) Pre-Sum (6) Probability (6) Programming Pearls (6) Rabin-Karp (6) Reverse (6) Scan from right (6) Schedule (6) Stream (6) Subset Sum (6) TSP (6) Xpost (6) n00tc0d3r (6) reddit (6) AI (5) Abbreviation (5) Anagram (5) Art Of Programming-July (5) Assumption (5) Bellman Ford (5) Big Data (5) Code - Solid (5) Code Kata (5) Codility-lessons (5) Coding (5) Company - WMware (5) Convex Hull (5) Crazyforcode (5) DFS - Multiple (5) DFS+DP (5) DP - Multi-Dimension (5) DP-Multiple Relation (5) Eulerian Cycle (5) Graph - Unusual (5) Graph Cycle (5) Hash Strategy (5) Immutability (5) Java (5) LogN (5) Manhattan Distance (5) Matrix Chain Multiplication (5) N Queens (5) Pre-Sort: Index (5) Quick Partition (5) Quora (5) Randomized Algorithms (5) Resources (5) Robot (5) SPFA(Shortest Path Faster Algorithm) (5) Shuffle (5) Sieve of Eratosthenes (5) Strongly Connected Components (5) Subarray Sum (5) Sudoku (5) Suffix Tree (5) Swap (5) Threaded (5) Tree - Creation (5) Warshall Floyd (5) Word Search (5) jiuzhang (5)

Popular Posts