Computer Algorithms: Graphs and their Representation

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Introduction

Although this post is supposed to be about algorithms I’ll cover more on graphs and their computer representation. I consider this very important, because there are lots of problems solved by using graphs and it is important to understand different types of representation.

First of all let’s try to explain what is a graph?

A graph is a specific data structure known in the computer science, that is often used to give a model of different kind of problems where a set of objects relate to each other in some way . For instance, trees are mainly used in order to represent a well-structured hierarchy, but that isn’t enough when modeling objects of the same type. Their relation isn’t always hierarchical! A typical example of graph is a geo map, where we have cities and the roads connecting them. In fact most of the problems solved with graphs relate to finding the shortest or longest path.

Although this is one very typical example actually a huge set of problems is can be solved by using graphs.

Graph & Tree
 

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Computer Algorithms: Finding the Lowest Common Ancestor

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Introduction

Here’s one task related to the tree data structure. Given two nodes, can you find their lowest common ancestor?

In a matter of fact this task always has a proper solution, because at least the root node is a common ancestor of all pairs of nodes. However here the task is to find the lowest one, which can be quite far from the root.

Finding the Lowest Common Ancestor
Finding the Lowest Common Ancestor

We don’t care what kind of trees we have. However the solution, as we will see, can be very different depending on the tree type. Indeed finding the lowest common ancestor can have linear complexity for binary search trees, which isn’t true for ordinary trees. Continue reading Computer Algorithms: Finding the Lowest Common Ancestor →

It’s Not True that PHP Arrays are Copied by Value

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PHP, Arrays & Passing by Reference

Do you know that objects in PHP5 are passed by reference, while arrays and other scalar variables are passed by value? Yes, you know it, but it’s not exactly true. Let’s see some example and let’s try to answer few questions.

// depending on the machine but both lines return
// expectedly equal values: 331208
 
// 331208
echo memory_get_usage();
echo memory_get_usage();

These two lines of code, expectedly return the same value (in my case 331208), which shows us that because nothing happened in between them the memory usage isn’t growing. Let’s now put some code in between them.

echo memory_get_usage(); // 331616
$a = 10;
echo memory_get_usage(); // 331696

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Computer Algorithms: Heap and Heapsort

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Introduction

Heapsort is one of the general sorting algorithms that performs in O(n.log(n)) in the worst-case, just like merge sort and quicksort, but sorts in place – as quicksort. Although quicksort’s worst-case sorting time is O(n2) it’s often considered that it beats other sorting algorithms in practice. Thus in practice quicksort is “faster” than heapsort. In the same time developers tend to consider heapsort as more difficult to implement than other n.log(n) sorting algorithms.

In the other hand heapsort uses a special data structure, called heap, in order to sort items in place and this data structure is quite useful in some specific cases. Thus to understand heapsort we first need to understand what is a heap.

So first let’s take a look at what is a heap.

Overview

A heap is a complete binary tree, where all the parents are greater than their children (max heap). If all the children are greater than their parents it is considered to call the heap a min-heap. But first what is a complete binary tree? Well, this is a binary tree, where all the levels are full, except the last one, where all the items are placed on the left (just like on the image below).

Complete Binary Tree
A complete binary tree is a structure where all the levels are completely full, except the last level, where all the items are placed on the left!
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PHP: Arrays or Linked Lists?

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Arrays vs. Linked List

If we talk about arrays and linked lists we know the pros and cons about both of them. No matter which programming language we use arrays benefit from direct access to its items, while linked lists are more memory efficient for particular tasks.

Array & Linked List
Array & Linked List

The items of a linked list keep a reference to their successor, so we can easily walk through the entire list. However we don’t have direct access to its elements. Thus we can’t go directly to its middle element! Even more – in particular implementations of a linked list we don’t know its length. But in some cases linked lists are far more effective than arrays. For instance reversing an array of non-numeric values require constant additional memory, but also requires n/2 exchanges. The same taks using linked lists is not only performed in linear time, but doesn’t require any additional memory. The only thing we need to do is to reverse the links – no movement of values and the items remain at the same place in the memory.

Merging of two arrays often require more space (proportional of the space of the two arrays) or many exchanges in case we try to do it in place. The same task on linked lists is far more effective with only changing pointers and without moving the values. Continue reading PHP: Arrays or Linked Lists? →