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Leetcode
  • Content
  • Algorithms
    • Linear Search
    • Binary Search
    • Counting Sort
    • Merge Sort
    • Insertion Sort
    • Selection Sort
  • Array and String
    • Introduction to Array
      • Introduction to Array
      • Introduction to Dynamic Array
      • Find Pivot Index
      • Largest Number At Least Twice of Others
      • Plus One
    • Introduction to 2D Array
      • Introduction to 2D Array
      • Diagonal Traverse
      • Spiral Matrix
      • Pascal's Triangle
    • Introduction to String
      • Introduction to String
      • Immutable String - Problems & Solutions
      • Add binary
      • Implement strStr()
      • Longest Common Prefix
    • Two-Pointer Technique
      • Two-pointer Technique - Scenario I
      • Reverse String
      • Array Partition I
      • Two Sum II - Input array is sorted
      • Two-pointer Technique - Scenario II
      • Remove Element
      • Max Consecutive Ones
      • Minimum Size Subarray Sum
    • Conclusion
      • Array-related Techniques
      • Rotate Array
      • Pascal's Triangle II
      • Reverse Words in a String
      • Reverse Words in a String III
      • Remove Duplicates from Sorted Array
      • Move Zeroes
  • Linked List
    • Singly Linked List
      • Introduction - Singly Linked List
      • Add Operation - Singly Linked List
      • Delete Operation - Singly Linked List
      • Design Linked List
    • Two Pointer Technique
      • Two-Pointer in Linked List
      • Linked List Cycle
      • Linked List Cycle II
      • Intersection of Two Linked Lists
      • Remove Nth Node From End of List
      • Summary - Two-Pointer in Linked List
  • Problems
    • 1. Two Sum
    • 2. Add Two Numbers
    • 7. Reverse Integer
    • 9. Palindrome Number
    • 11. Container With Most Water
    • 12. Integer to Roman
    • 13. Roman to Integer
    • 14. Longest Common Prefix
    • 15. 3Sum
    • 21. Merge Two Sorted Lists
    • 26. Remove Duplicates from Sorted Array
    • 27. Remove Element
    • 28. Find the Index of the First Occurrence in a String
    • 34. Find First and Last Position of Element in Sorted Array
    • 35. Search Insert Position
    • 43. Multiply Strings
    • 49. Group Anagrams
    • 50. Pow(x, n)
    • 54. Spiral Matrix
    • 58. Length of Last Word
    • 66. Plus One
    • 67. Add Binary
    • 69. Sqrt(x)
    • 73. Set Matrix Zeroes
    • 75. Sort Colors
    • 88. Merge Sorted Array
    • 104. Maximum Depth of Binary Tree
    • 121. Best Time to Buy and Sell Stock
    • 122. Best Time to Buy and Sell Stock II
    • 136. Single Number
    • 146. LRU Cache
    • 189. Rotate Array
    • 206. Reverse Linked List
    • 217. Contains Duplicate
    • 219. Cotains Duplicate II
    • 226. Invert Binary Tree
    • 238. Product of Array Except Self
    • 242. Valid Anagram
    • 268. Missing Number
    • 283. Move Zeroes
    • 350. Intersection of Two Arrays II
    • 383. Ransom Note
    • 389. Find the Difference
    • 412. Fizz Buzz
    • 414. Third Maximum Number
    • 445. Add Two Numbers II
    • 448. Find All Numbers Disappeared in an Array
    • 459. Repeated Substring Pattern
    • 485. Max Consecutive Ones
    • 509. Fibonacci Number
    • 637. Average of Levels in Binary Tree
    • 657. Robot Return to Origin
    • 682. Baseball Game
    • 704. Binary Search
    • 705. Design HashSet
    • 709. To Lower Case
    • 724. Find Pivot Index
    • 876. Middle of the Linked List
    • 896. Monotonic Array
    • 860. Lemonade Change
    • 905. Sort Array By Parity
    • 916. Word Subsets
    • 941. Valid Mountain Array
    • 976. Largest Perimeter Triangle
    • 977. Squares of a Sorted Array
    • 1041. Robot Bounded In Circle
    • 1051. Height Checker
    • 1089. Duplicate Zeros
    • 1232. Check If It Is a Straight Line
    • 1275. Find Winner on a Tic Tac Toe Game
    • 1295. Find Numbers with Even Number of Digits
    • 1299. Replace Elements with Greatest Element on Right Side
    • 1342. Number of Steps to Reduce a Number to Zero
    • 1346. Check If N and Its Double Exist
    • 1476. Subrectangle Queries
    • 1480. Running Sum of 1d Array
    • 1491. Average Salary Excluding the Minimum and Maximum Salary
    • 1502. Can Make Arithmetic Progression From Sequence
    • 1523. Count Odd Numbers in an Interval Range
    • 1572. Matrix Diagonal Sum
    • 1672. Richest Customer Wealth
    • 1768. Merge Strings Alternately
    • 1752. Check if Array Is Sorted and Rotated
    • 1769. Minimum Number of Operations to Move All Balls to Each Box
    • 1790. Check if One String Swap Can Make Strings Equal
    • 1800. Maximum Ascending Subarray Sum
    • 1822. Sign of the Product of an Array
    • 1930. Unique Length-3 Palindromic Subsequences
    • 1991. Find the Middle Index in Array
    • 2185. Counting Words With a Given Prefix
    • 2235. Add Two Integers
    • 2236. Root Equals Sum of Children
    • 2270. Number of Ways to Split Array
    • 2381. Shifting Letters II
    • 2559. Count Vowel Strings in Ranges
    • 2610. Convert an Array Into a 2D Array With Conditions
    • 2657. Find the Prefix Common Array of Two Arrays
    • 3042. Count Prefix and Suffix Pairs I
    • 3105. Longest Strictly Increasing or Strictly Decreasing Subarray
    • 3151. Special Array I
    • 3223. Minimum Length of String After Operations
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  • Example 1
  • Example 2
  • Example 3
  • Constraints
  • Hint-1
  • Hint-2
  • Solution

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  1. Problems

88. Merge Sorted Array

🟩 Easy

You are given two integer arrays nums1 and nums2, sorted in non-decreasing order, and two integers m and n, representing the number of elements in nums1 and nums2 respectively.

Merge nums1 and nums2 into a single array sorted in non-decreasing order.

The final sorted array should not be returned by the function, but instead be stored inside the array nums1. To accommodate this, nums1 has a length of m + n, where the first m elements denote the elements that should be merged, and the last n elements are set to 0 and should be ignored. nums2 has a length of n.

Example 1

Input: nums1 = [1,2,3,0,0,0], m = 3, nums2 = [2,5,6], n = 3 Output: [1,2,2,3,5,6] Explanation: The arrays we are merging are [1,2,3] and [2,5,6]. The result of the merge is [1,2,2,3,5,6] with the underlined elements coming from nums1.

Example 2

Input: nums1 = [1], m = 1, nums2 = [], n = 0 Output: [1] Explanation: The arrays we are merging are [1] and []. The result of the merge is [1].

Example 3

Input: nums1 = [0], m = 0, nums2 = [1], n = 1 Output: [1] Explanation: The arrays we are merging are [] and [1]. The result of the merge is [1]. Note that because m = 0, there are no elements in nums1. The 0 is only there to ensure the merge result can fit in nums1.

Constraints

  • nums1.length == m + n

  • nums2.length == n

  • 0 <= m, n <= 200

  • 1 <= m + n <= 200

  • -10^9 <= nums1[i], nums2[j] <= 10^9

Follow up: Can you come up with an algorithm that runs in O(m + n) time?

Hint-1

You can easily solve this problem if you simply think about two elements at a time rather than two arrays. We know that each of the individual arrays is sorted. What we don't know is how they will intertwine. Can we take a local decision and arrive at an optimal solution?

Hint-2

If you simply consider one element each at a time from the two arrays and make a decision and proceed accordingly, you will arrive at the optimal solution.

Solution

My Solution

func merge(nums1 []int, m int, nums2 []int, n int)  {
    for n != 0 {
        if m!=0 && nums1[m-1] > nums2[n-1] {
            nums1[m+n-1]=nums1[m-1]
            m--
        } else {
            nums1[m+n-1]=nums2[n-1]
            n--
        }
    }
}
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