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Comparison of algorithm efficiency for searching specific elements in PHP arrays

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2024-05-01 11:03:01547browse

PHP array element search algorithm efficiency comparison: linear search: efficiency in unordered array is O(n); binary search (ordered array): time complexity is O(log n); hash table: time complexity is always is O(1), regardless of array type.

Comparison of algorithm efficiency for searching specific elements in PHP arrays

Comparison of algorithm efficiency for finding specific elements in PHP arrays

Finding specific elements in an array is a common task in PHP. There are several algorithms available for this purpose. This article will compare the efficiency of the three most common algorithms:

1. Linear search

function linearSearch($arr, $target) {
  for ($i = 0; $i < count($arr); $i++) {
    if ($arr[$i] === $target) {
      return $i;
    }
  }

  return -1;
}

2. Binary search (array must be ordered)

function binarySearch($arr, $target) {
  $left = 0;
  $right = count($arr) - 1;

  while ($left <= $right) {
    $mid = floor(($left + $right) / 2);

    if ($arr[$mid] === $target) {
      return $mid;
    } else if ($arr[$mid] < $target) {
      $left = $mid + 1;
    } else {
      $right = $mid - 1;
    }
  }

  return -1;
}

3. Hash table

Hash table can significantly improve the search speed by using key-value pairs to store data.

function hashTableSearch($arr, $target) {
  $lookupTable = [];

  for ($i = 0; $i < count($arr); $i++) {
    $lookupTable[$arr[$i]] = true;
  }

  if (isset($lookupTable[$target])) {
    return true;
  } else {
    return false;
  }
}

Practical case

We used different array sizes for testing, unordered arrays and ordered arrays containing random elements. The results are as follows:

##Linear searchO(n)O(n)##Binary searchHash table
Algorithm Unordered array Ordered array
O(log n) O(log n)
O(1) O(1)
Conclusion

Binary search performs best in ordered arrays, with a time complexity of O(log n), while hash tables perform best in ordered arrays. Most efficient in all cases, time complexity is always O(1).

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