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<title>leetcode: Median of Two Sorted Arrays | 李祖彬的博客</title>
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问题
Given two sorted arrays nums1 and nums2 of size m and n respectively, return the median of the two sorted arrays.
The overall run time complexity should be O(log (m+n)).
代码
class Solution ...">
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<time class="dt-published" datetime="2021-11-03T01:53:45.000Z" itemprop="datePublished">2021-11-03</time>
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leetcode: Median of Two Sorted Arrays
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<ul>
<li>问题</li>
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<blockquote>
<p>Given two sorted arrays nums1 and nums2 of size m and n respectively, return the median of the two sorted arrays.</p>
<p>The overall run time complexity should be O(log (m+n)).</p>
</blockquote>
<ul>
<li>代码</li>
</ul>
<pre class="line-numbers language-none"><code class="language-none">class Solution {
/**
* @param Integer[] $nums1
* @param Integer[] $nums2
* @return Float
*/
function findMedianSortedArrays($nums1, $nums2) {
$nums = array_merge($nums1, $nums2);
$len = count($nums);
$nums = $this->bubbleSort($nums, $len);
if ($len % 2) {
return $nums[floor($len / 2)];
}
return ($nums[$len / 2] + $nums[$len / 2 - 1]) / 2;
}
function bubbleSort($arr, $n)
{
for($i = 0; $i < $n; $i++)
{
$swapped = false;
for ($j = 0; $j < $n - $i - 1; $j++)
{
if ($arr[$j] > $arr[$j+1])
{
$t = $arr[$j];
$arr[$j] = $arr[$j+1];
$arr[$j+1] = $t;
$swapped = true;
}
}
if($swapped === false) {
break;
}
}
return $arr;
}
}</code></pre>
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