Complexity Analysis of Naive algorithm for Pattern Searching

Best Case: O(n)

• When the pattern is found at the very beginning of the text (or very early on).
• The algorithm will perform a constant number of comparisons, typically on the order of O(n) comparisons, where n is the length of the pattern.

Worst Case: O(n²)

• When the pattern doesn’t appear in the text at all or appears only at the very end.
• The algorithm will perform O((n-m+1)*m) comparisons, where n is the length of the text and m is the length of the pattern.
• In the worst case, for each position in the text, the algorithm may need to compare the entire pattern against the text.
• Naive algorithm for Pattern Searching

Please refer complete article on Naive algorithm for Pattern Searching for more details!

Write a PHP program for a given text string with length n and a pattern with length m, the task is to print all occurrences of the pattern in text.
Note: You may assume that n > m.

Examples: 

Input:  text = “THIS IS A TEST TEXT”, pattern = “TEST”
Output: Pattern found at index 10

Input:  text =  “AABAACAADAABAABA”, pattern = “AABA”
Output: Pattern found at index 0, Pattern found at index 9, Pattern found at index 12