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| 1 | +88\. Merge Sorted Array |
| 2 | + |
| 3 | +Easy |
| 4 | + |
| 5 | +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. |
| 6 | + |
| 7 | +**Merge** `nums1` and `nums2` into a single array sorted in **non-decreasing order**. |
| 8 | + |
| 9 | +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`. |
| 10 | + |
| 11 | +**Example 1:** |
| 12 | + |
| 13 | +**Input:** nums1 = [1,2,3,0,0,0], m = 3, nums2 = [2,5,6], n = 3 |
| 14 | + |
| 15 | +**Output:** [1,2,2,3,5,6] |
| 16 | + |
| 17 | +**Explanation:** The arrays we are merging are [1,2,3] and [2,5,6]. The result of the merge is [<ins>1</ins>,<ins>2</ins>,2,<ins>3</ins>,5,6] with the underlined elements coming from nums1. |
| 18 | + |
| 19 | +**Example 2:** |
| 20 | + |
| 21 | +**Input:** nums1 = [1], m = 1, nums2 = [], n = 0 |
| 22 | + |
| 23 | +**Output:** [1] |
| 24 | + |
| 25 | +**Explanation:** The arrays we are merging are [1] and []. The result of the merge is [1]. |
| 26 | + |
| 27 | +**Example 3:** |
| 28 | + |
| 29 | +**Input:** nums1 = [0], m = 0, nums2 = [1], n = 1 |
| 30 | + |
| 31 | +**Output:** [1] |
| 32 | + |
| 33 | +**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. |
| 34 | + |
| 35 | +**Constraints:** |
| 36 | + |
| 37 | +* `nums1.length == m + n` |
| 38 | +* `nums2.length == n` |
| 39 | +* `0 <= m, n <= 200` |
| 40 | +* `1 <= m + n <= 200` |
| 41 | +* <code>-10<sup>9</sup> <= nums1[i], nums2[j] <= 10<sup>9</sup></code> |
| 42 | + |
| 43 | +**Follow up:** Can you come up with an algorithm that runs in `O(m + n)` time? |
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