Linear vs. Non-linear Data Structure

The difference between linear and non-linear data structure is that in linear data structure data is arrange no specific order and data is arranged adjacently whereas in non-linear data structure data is arranged in a specific order and there is a relation between data.

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Linear vs. Non linear Data Structure

Data structures are one of the most important concepts in computer programming. There is two type of data structures that are linear data structure and non-linear data structure. The difference between the linear data structure and the non-linear data structure is on the basis of the relationship between elements of data. Linear data structure and non-linear data structure comes under non-primitive data structure. In linear data structure data is to arrange no specific order and data is arranged adjacently whereas in non-linear data structure data is arranged in a specific order and there is a relation between data.

Linear data structure forms a linear list. There is a specific order in which elements are attached to each other in the linear data structure. Elements in linear data structure consume linear memory space and data elements are store in sequential manner. In linear data structures memory of the data elements should be define at the start of the code. Array, stack, queue, linked list are examples of linear data structure.  Non-linear data structure arrange data in a sorted order. There is a hierarchical relationship in non-linear data structure. There are roots, child, and nodes in non-linear data structure, there are levels that are not available in linear data structure. Tree and graph are one of the most common examples of non-linear data structures.

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Contents: Difference between Linear and Non-linear Data Structure

Comparison Chart

BasisLinear data structureNon-linear data structure
MeaningIn linear data structure data is arrange no specific order and data is arranged adjacently

In non-linear data, structure data is arranged in a specific order, and there is a relation between data.

 

RunIn single run, data can be extracted in the linear data structure.In a single run, data cannot be extracted in the non-linear data structure
ImplementationImplementation of the linear data structure is easyImplementation of the non-linear data structure is not easy
Effective The linear data structure is memory ineffectiveThe non-linear data structure is memory effective.

 Linear data structure

Linear data structure forms a linear list. There is a specific order in which elements are attached to each other in the linear data structure. Elements in linear data structure consume linear memory space, and data elements are store in a sequential manner. In linear data structures, the memory of the data elements should be defined at the start of the code. Array, stack, queue, linked list are examples of the linear data structure.  The stack is a non-primitive data structure that uses first in last out method whereas queue is a liner non-primitive data structure that uses first in first out method.

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top of the stack is known as TOS that is (top of the stack). Not only deletion but insertion also take place from the top of the stack. Stack follow last in first out method. Stack makes an ordered list, in this ordered list new item is added, and then existing elements are deleted. The element is deleted or removed from the top of the stack,

A queue is also a non-primitive data structure, but the queue is different from the stack. The queue is a liner non-primitive data structure that uses first in first out method. New elements are added form the bottom of the queue. That is the reason queue follow first in first out method.

Non-Linear Data Structure

Non-linear data structure arranges data in sorted order. There is a hierarchical relationship in the non-linear data structure. There are roots, child, and nodes in the non-linear data structure; there are levels that are not available in the linear data structure. Tree and graph are one of the most common examples of non-linear data structures. There are finite data items that are known as nodes. In a tree, data is arranged in a sorted order that’s why it is called a non-linear data structure. There is a hierarchical data structure in a tree.

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There are many kinds of data elements that are organized into branches. Loops are formed in the addition of a new edge in a tree. There are many types of tree that are a binary tree, binary search tree, and AVL tree, threaded binary tree, B-tree and many more. There are many applications of the tree such as data compression, file storage, manipulation of the arithmetic expression and game tree. There is only one node at the top of the tree that is known as the root of the tree. All the remaining data nodes are divided into subtree. There is a height of any tree that is calculated. There must be a path between all the roots of the tree that make it connected. The tree does not have a loop. Terminal node, edge node, level node, degree node, depth, forest are some important terminologies in the tree.

A graph is a non-linear data structure. There are a group of vertices that are also known as a node in the graph. F(v,w) represent vertices. There are many types of graphs such as directed, non-directed, connected, non-connected, simple and multi-graph. If we talk about the application of graphs than a computer network, transportation system, social network graph, electrical circuits and project planning are some well-known examples of graph data structure. Using edge vertex in the graph can be connected. Edge in the graph can also be bidirected or directed. Where the height of the tree is calculated, in graph edge can be weighted. Adjacent vertices, path, cycle, degree, connected graph, weighted graph are some important terms in the graph.

 Key Differences

  1. In linear data structure data is to arrange no specific order and data is arranged adjacently whereas In non-linear data structure data is arranged in a specific order and there is a relation between data.
  2. In a single run, data can be extracted in linear data structure whereas in single run data cannot be extracted in the non-linear data structure.
  3. Implementation of the linear data structure is easy whereas Implementation of the non-linear data structure is not easy.
  4. The linear data structure is memory ineffective whereas Non-linear data structure is memory effective.

Conclusion

In this article above we see the clear difference between linear and non-linear data structures with proper examples of code.

Explanatory Video

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