计数排序[PHP]
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2022-05-12 17:51:32
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计数排序
GitHub源码
- 获取序列中的最小值min和最大值max O(n)
- 统计min - max之间所有值在序列中的出现次数 O(n)
-
顺序输出min - max的所有值,次数为0不输出,其余次数为多少就输出多少 O(k) k为数据范围
例如序列为: 2, 4, 6, 9, 4, 8
- min = 2, max = 9, n为6,k为8
- 统计出现次数为
[2 => 1, 3 => 0, 4 => 2, 5 => 0, 6 => 1, 7 => 0, 8 => 1, 9 => 1] - 输出结果为
2, 4, 4, 6, 8, 9
很明显,计数排序的复杂度为O(n) + O(k),也就是和数据量和数据范围有关.
若n和k相近,则可认为是O(n)
同时,因为要统计出现次数,如果数据范围过大而数据又很稀疏,造成的空间浪费比较大
class CountSort
{
private $originalData = [];
private $rangeMap = [];
private $resultData = [];
public function __construct($original = [])
{
$this->originalData = $original;
}
public function sort()
{
list($min, $max) = $this->calculateDataRange();
$this->statisticNumberOfOccurrence($min, $max);
$this->resultData = $this->generateResult();
return $this->resultData;
}
protected function calculateDataRange()
{
$max = null;
$min = null;
foreach ($this->originalData as $value) {
if (!is_null($max)) {
if ($value > $max) {
$max = $value;
}
} else {
$max = $value;
}
if (!is_null($min)) {
if ($value < $min) {
$min = $value;
}
} else {
$min = $value;
}
}
return [$min, $max];
}
protected function statisticNumberOfOccurrence($min, $max)
{
for ($i = $min; $i <= $max; $i++) {
$this->rangeMap[$i] = 0;
}
foreach ($this->originalData as $value) {
$this->rangeMap[$value]++;
}
}
protected function generateResult()
{
$result = [];
foreach ($this->rangeMap as $key => $value) {
if ($value != 0) {
for ($i = 0; $i < $value; $i++) {
array_push($result, $key);
}
}
}
return $result;
}
}
$testData = [2, 3, 4, 3, 10, 30, 20, 15, 10, 12, 33];
$countSort = new CountSort($testData);
echo '<pre>';
var_dump($countSort->sort());
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