How Many Algorithms Are There in Data Structure?


Larry Thompson

Data structures are an essential part of computer science and play a crucial role in organizing and manipulating data efficiently. Algorithms, on the other hand, are step-by-step procedures or sets of rules that solve a specific problem.

In data structure, algorithms are used to perform operations on various data structures. But have you ever wondered how many algorithms are there in data structure? Let’s explore!

Basic Algorithms in Data Structure

1. Searching Algorithms:
Searching algorithms are used to find the presence or absence of an element in a given data structure. Some popular searching algorithms include linear search, binary search, and interpolation search.

2. Sorting Algorithms:
Sorting algorithms arrange the elements of a data structure in a specific order. Common sorting algorithms include bubble sort, insertion sort, merge sort, quicksort, and heapsort.

3. Insertion and Deletion Algorithms:
These algorithms are used to insert new elements or delete existing elements from a data structure such as arrays or linked lists. Examples include insert at beginning/end, insert at position, delete from beginning/end, and delete from position.

Advanced Algorithms in Data Structure

1. Graph Algorithms:
Graph algorithms deal with problems related to graphs like finding the shortest path between two vertices (Dijkstra’s algorithm), finding all possible paths (Depth-First Search and Breadth-First Search), finding connected components (Tarjan’s algorithm), etc. Tree Algorithms:
Tree algorithms focus on operations performed on tree-like structures such as binary trees or AVL trees. Some examples include tree traversal (in-order, pre-order, post-order), insertion/deletion in a binary search tree (BST), balancing AVL trees using rotations. Hashing Algorithms:
Hashing algorithms are used to map large amounts of data to a fixed-size value (hash code).

They are commonly used in hash tables, which provide fast access to data. Examples include division method, multiplication method, and universal hashing.


These are just a few examples of algorithms used in data structures. The field of data structure and algorithms is vast, with new algorithms being developed regularly.

Each algorithm has its own advantages and disadvantages, making them suitable for different scenarios. Understanding these algorithms is essential for every programmer to efficiently solve problems and optimize their code.

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