In the last post we constructed a graph structure using the Structure_Graph Pear library. But building a graph is not enough; we also need the ability to search through it. To make it easier to build search algorithms, it is useful if we can represent the graph and its connections in a different way; adjacency matrix being one such representation.
Graphs are one of the most frequently used data structures,along with linked lists and trees. In a recent PHP project I needed to build a Graph structure to analyze some interlinked urls. The problem was of a simple nature, so rather than writing my own code, I went with the one available in the Pear repository.
The Pear Structures_Graph package allows creating and manipulating graph data structures. It allows building of either directed or undirected graphs, with data and metadata stored in nodes. The library provides functions for graph traversing as well as for characteristic extraction from the graph topology.
I recently wrote a quick code to find if a numeric array is ordered i.e sorted in a ascending or descending order. I needed it to check a sort algorithm I had written. The problem is that the following code has a worst-case running time of O(N). Can we make the running time logarithmic.
Data structures are one of the core elements of computer science and they are also fun to program. But being a web developer the opportunity for implementing them in any application is quite rare. But then I thought, What the heck! I can just code for the joy of it, and it will also help me brush up on my DS skills. So here it is, a single linked list implementation in PHP for whoever may care. I will be posting other data structure and algorithm implementations here, so keeping watching. The code is given below.