Advance Practical PHP Explain DS Stack, LinkedList, Tree, Queue - video 115d
** Tree (Binary Search Tree - BST)
A Tree is a non-linear data structure where data items are organized in a hierarchy. The most common type is a Binary Tree, where each node can have at most two children: a left child and a right child. A Binary Search
Tree (BST) adds the constraint that, for any given node:
All values in the left subtree are less than the node's value.
All values in the right subtree are greater than the node's value.
In PHP, the common types of tree structures you might implement or encounter are:
Binary Search Tree (BST): Elements are organized such that the left child is less than the parent, and the right child is greater than the parent. Optimized for efficient searching.
AVL Tree: A self-balancing BST; it ensures the height difference between the left and right subtrees (the balance factor) is never more than one. This maintains O(\log n) time complexity for search, insertion, and deletion.
Red-Black Tree: Another self-balancing BST that uses "coloring" rules (red/black) to ensure balance, often slightly faster insertion/deletion than AVL trees.
B-Tree: Optimized for disk storage. Each node can hold many keys and children, minimizing disk I/O operations. Used in databases (like MySQL/MariaDB).
Trie (Prefix Tree): Used for efficient retrieval of keys based on prefixes, often seen in dictionaries or autocomplete features.
PHP data structures and trees, users typically look for one of three things when they reach the "last step" of an implementation:
A complete Binary Search Tree (BST) Class (with Insert/Search/Delete).
Tree Traversal Algorithms (In-order, Pre-order, Post-order).
Converting Flat Arrays to Hierarchical Trees (Building a tree from a database result with id and parent_id).
Below is the most common "final" request—a robust implementation of a Binary Search Tree including the basic structure and traversals.
🌳 PHP Binary Search Tree Implementation
This implementation includes the Node class and the BinaryTree class with recursive traversal methods.
There’s common "Last Steps" that I will provide in a later date.
* Search Method: A function to find if a specific value exists in the tree.
* Delete Method: Handling the three cases (leaf node, one child, or two children).
* Array-to-Tree Logic: Taking a flat database result set and nested it into a multidimensional array structure.
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