What Is Algorithm and How Is It Implemented in Data Structure?


Heather Bennett

Algorithms are an essential part of computer science and data structures. They are a set of well-defined instructions or rules that are followed to solve a problem or perform a specific task. In the context of data structures, algorithms play a crucial role in manipulating and organizing the data efficiently.

What is an Algorithm?

An algorithm is a step-by-step procedure or method used to solve a problem. It is a precise sequence of instructions that takes some input, performs specific operations on it, and produces an output. Algorithms can be represented using various notations, such as pseudocode or flowcharts.

Implementing Algorithms in Data Structures

Data structures provide a way to organize and store data in memory. They define the relationship between the data, how it is stored, and the operations that can be performed on it. Algorithms can be implemented within these data structures to manipulate and process the stored data efficiently.


An array is a data structure that stores elements of the same type in contiguous memory locations. To implement an algorithm using arrays, you can iterate over the elements of the array using loops like for or while. For example, searching for an element in an array can be done by comparing each element with the desired value using a loop.

Linked Lists

A linked list is a linear data structure where each element (node) contains both data and a reference to the next node. Algorithms implemented with linked lists often involve traversing through the list by following these references. For example, inserting an element at the end of a linked list requires updating the reference of the last node to point to the newly inserted node.


Trees are hierarchical data structures composed of nodes. Each node can have zero or more child nodes.

Algorithms implemented with trees often involve traversing the tree using recursive or iterative approaches. For example, finding the height of a tree can be done by recursively traversing each subtree and returning the maximum height.


Graphs are non-linear data structures consisting of a set of vertices (nodes) and edges that connect these vertices. Algorithms implemented with graphs often involve traversing the graph using techniques like depth-first search (DFS) or breadth-first search (BFS). For example, finding the shortest path between two vertices in a graph can be done using algorithms like Dijkstra’s algorithm or A* search algorithm.


In conclusion, algorithms are an integral part of data structures. They provide a systematic approach to solving problems and manipulating data efficiently. By implementing algorithms within various data structures like arrays, linked lists, trees, and graphs, we can perform tasks such as searching, sorting, inserting, and deleting elements effectively.

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