May 2017
Intermediate to advanced
340 pages
8h 16m
English
Content preview from PHP 7 Data Structures and Algorithms
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Understanding the big O (big oh) notation
The big O notation is very important for the analysis of algorithms. We need to have a solid understanding of this notation and how to use this in the future. We are going to discuss the big O notation throughout this section.
Our algorithm for finding the books and placing them has n number of items. For the first book search, it will compare n number of books for the worst case situation. If we say time complexity is T, then for the first book the time complexity will be:
T(1) = n
As we are removing the founded book from the list, the size of the list is now n-1. For the second book search, it will compare n-1 number of books for the worst case situation. Then for the second book, the time complexity ...
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