Overview of Linear & Non-Linear Data Structures
In this lesson, we will have a review of the time complexities for all the data structures we have studied. We will also categorize them into linear and non-linear data structures.
We'll cover the following...
Now that we have covered all the popular data structures, let’s see which of them are linear and which are non-linear. This information is useful when deciding the appropriate data structure for our algorithm.
Linear Data Structures
In linear data structures, each element is connected to either one (the next element) or two (the next and previous) more elements. Traversal in these structures is linear, meaning that insertion, deletion, and search work in O(n).
Arrays, linked lists, stacks and queues are all example of linear data structures.
Non-Linear Data Structures
The exact opposite of linear data structures are non-linear data structures. In a non-linear data structure, each element can be connected to several other data elements. Traversal is not linear; hence, search, insertion, and deletion can work in O(log n) and even ...