Detailed explanation of recursion and iteration of PHP binary search

小云云
Release: 2023-03-22 14:46:01
Original
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Regarding the time complexity of recursion and iteration, the time complexity of recursion is O(N), while the time complexity of iteration is O(logN). There are two curves: y=N and Y=logN. We know that O(logN) must be better. This article mainly shares with you the detailed explanation of recursion and iteration of PHP binary search. I hope it can help you.

The following are two pieces of code, and the code for fool-proof efficiency testing.

 $v) {  
            $right = $middle - 1;  
        } elseif ($arr[$middle] < $v) {  
            $left  = $middle + 1;  
        } else {  
            return $middle;  
        }  
    }  
    return -1;  
}  
  
  
$arr = [];  
for ($i=0;$i<300000;$i++){  
    $arr[] = $i;  
}  
list($first) = explode(" ",microtime());  
echo dichotomyIterationSearch($arr,count($arr),35387);echo '
'; list($second) = explode(" ",microtime()); echo round($second - $first,5)*1000000; function dichotomyRecursionSearch($arr, $low, $high, $v) { $middle = bcp(bcadd($low, $high), 2); if ($low < $high) { if ($arr[$middle] > $v) { $high = $middle - 1; return dichotomyRecursionSearch($arr, $low, $high, $v); } elseif ($arr[$middle] < $v) { $low = $middle + 1; return dichotomyRecursionSearch($arr, $low, $high, $v); } else { return $middle; } } elseif ($high == $low) { if ($arr[$middle] == $v) { return $middle; } else { return -1; } } return -1; } $arr = []; for ($i=0;$i<300000;$i++){ $arr[] = $i; } echo "
"; list($first) = explode(" ",microtime()); echo dichotomyRecursionSearch($arr,0, count($arr),35387);echo '
'; list($second) = explode(" ",microtime()); echo round($second - $first, 5)*1000000;
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Related recommendations:

Introduction to binary search and detailed examples

Introduction to how JavaScript uses binary search to find data

Binary search for elements in an array

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