我有一个脚本可以调用这个函数超过100k次,所以无论如何我都在寻找更多的性能。
您能否建议使用优化或替代方法来计算PHP中的标准偏差?
function calcStandardDev($samples){
$sample_count = count($samples);
for ($current_sample = 0; $sample_count > $current_sample; ++$current_sample) $sample_square[$current_sample] = pow($samples[$current_sample], 2);
return sqrt(array_sum($sample_square) / $sample_count - pow((array_sum($samples) / $sample_count), 2));
}
答案 0 :(得分:1)
$samples[$current_sample] * $samples[$current_sample]
会比
更快pow($samples[$current_sample], 2)
因为它没有函数调用的开销。
然后你也可以简化
pow((array_sum($samples) / $sample_count), 2));
防止再次调用pow()函数
为避免array_sum($ samples)因更改而被调用两次,计算一次并在循环之前存储到var,然后只引用公式中的var。
修改强>
function calcStandardDev($samples){
$sample_count = count($samples);
$sumSamples = array_sum($samples);
for ($current_sample = 0; $sample_count > $current_sample; ++$current_sample)
$sample_square[$current_sample] = $samples[$current_sample] * $samples[$current_sample];
return sqrt(array_sum($sample_square) / $sample_count - ( ($sumSamples / $sample_count) *
($sumSamples / $sample_count)
)
);
}
答案 1 :(得分:0)
通过自己计算相应的值来替换两个对array_sum
的调用。这样你只需要一次遍历阵列而不是三次。
function calcStandardDev($samples){
$sample_count = count($samples);
$sum = 0;
$sum_sqaure = 0;
for ($current_sample = 0; $sample_count > $current_sample; ++$current_sample) {
$sum_square += pow($samples[$current_sample], 2);
$sum += $samples[$current_sample];
}
return sqrt( $sum_square / $sample_count - pow( $sum / $sample_count, 2));
}
答案 2 :(得分:0)
forefe by referance比for,你已经有一个循环,你可以在这个循环中计算“sum”。和$ x * $ x比pow($ x,2)快得多; 有一些功能比较。希望能帮到你。
您的函数microtime = ~0.526
第二功能 = ~0.290
<?php
function calcStandardDev($samples)
{
$sample_count = count($samples);
for ($current_sample = 0; $sample_count > $current_sample; ++$current_sample)
$sample_square[$current_sample] = pow($samples[$current_sample], 2);
return sqrt(array_sum($sample_square) / $sample_count - pow((array_sum($samples) / $sample_count), 2));
}
function calcStandardDev2($samples)
{
$sample_count = count($samples);
$sum_sample_square = 0;
$sum_sample = 0;
foreach ($samples as &$sample)
{
$sum_sample += $sample;
$sum_sample_square += $sample * $sample;
}
return sqrt($sum_sample_square / $sample_count - pow($sum_sample / $sample_count,2));
}
function calcStandardDev3($samples)
{
$sample_count = count($samples);
$sum_sample_square = 0;
$sum_sample = 0;
foreach ($samples as &$sample)
{
$sum_sample += $sample;
$sum_sample_square += pow($sample ,2);
}
return sqrt($sum_sample_square / $sample_count - pow($sum_sample / $sample_count,2));
}
echo "<pre>";
$samples = range(2,100000);
$start = microtime(true);
echo calcStandardDev($samples)."\r\n";
$end = microtime(true);
echo $end - $start ."\r\n";
echo "-------\r\n";
$start = microtime(true);
echo calcStandardDev2($samples)."\r\n";
$end = microtime(true);
echo $end - $start."\r\n";
echo "-------\r\n";
$start = microtime(true);
echo calcStandardDev3($samples)."\r\n";
$end = microtime(true);
echo $end - $start;
echo "-------\r\n";
?>