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Heap

A heap is a special tree-based data structure that satisfies specific properties, making it highly efficient for certain algorithms, such as priority queues. There are two main types of heaps: Min-Heaps and Max-Heaps.

Key Features of a Heap

  1. Binary Tree Structure: Heaps are binary trees where each parent node has at most two child nodes.
  2. Heap Property:
    • Min-Heap: The value of each parent node is less than or equal to the values of its child nodes. The smallest element is at the root.
    • Max-Heap: The value of each parent node is greater than or equal to the values of its child nodes. The largest element is at the root.

Use Cases

  1. Priority Queues: Heaps are ideal for implementing priority queues, where the element with the highest priority (smallest or largest value) can be efficiently removed.
  2. Heapsort: An efficient comparison-based sorting algorithm that uses heap properties.
  3. Dijkstra’s Algorithm: Uses heaps to efficiently calculate the shortest paths in a graph.

Heap Operations

  1. Insert: A new element is added to the end of the heap and then "percolated up" until the heap property is restored.
  2. Remove Root: The root element is removed, and the last element in the heap is moved to the root and "percolated down" until the heap property is restored.
  3. Peek: Returns the value at the root without removing it.

Example in PHP

Here is a simple example of implementing a Min-Heap in PHP:

class MinHeap {
    private $heap;

    public function __construct() {
        $this->heap = [];
    }

    public function insert($value) {
        $this->heap[] = $value;
        $this->percolateUp(count($this->heap) - 1);
    }

    public function extractMin() {
        if (count($this->heap) === 0) {
            return null; // Heap is empty
        }

        $min = $this->heap[0];
        $this->heap[0] = array_pop($this->heap);
        $this->percolateDown(0);

        return $min;
    }

    private function percolateUp($index) {
        while ($index > 0) {
            $parentIndex = intdiv($index - 1, 2);

            if ($this->heap[$index] >= $this->heap[$parentIndex]) {
                break;
            }

            $this->swap($index, $parentIndex);
            $index = $parentIndex;
        }
    }

    private function percolateDown($index) {
        $lastIndex = count($this->heap) - 1;

        while (true) {
            $leftChild = 2 * $index + 1;
            $rightChild = 2 * $index + 2;
            $smallest = $index;

            if ($leftChild <= $lastIndex && $this->heap[$leftChild] < $this->heap[$smallest]) {
                $smallest = $leftChild;
            }

            if ($rightChild <= $lastIndex && $this->heap[$rightChild] < $this->heap[$smallest]) {
                $smallest = $rightChild;
            }

            if ($smallest === $index) {
                break;
            }

            $this->swap($index, $smallest);
            $index = $smallest;
        }
    }

    private function swap($index1, $index2) {
        $temp = $this->heap[$index1];
        $this->heap[$index1] = $this->heap[$index2];
        $this->heap[$index2] = $temp;
    }
}

// Example usage
$heap = new MinHeap();
$heap->insert(5);
$heap->insert(3);
$heap->insert(8);
$heap->insert(1);

echo $heap->extractMin(); // Output: 1
echo $heap->extractMin(); // Output: 3
echo $heap->extractMin(); // Output: 5
echo $heap->extractMin(); // Output: 8

In this example, a Min-Heap is implemented where the smallest elements are extracted first. The insert and extractMin methods ensure that the heap properties are maintained after each operation.

 


Created 10 Months ago
Heap Priority Queue Strategies

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