Top 10 Algorithms You Need to Know for Coding Interviews in 2022

Let’s look at some coding algorithms that should have basic knowledge before going for an interview.

Algorithms form the basis of all programming languages. An algorithm is a well-defined set of instructions for solving a particular problem. It is used as specifications to perform calculations and data processing. But an algorithm is just a set of instructions that has a purpose and defines what the program will do and how it will do it. In this article, let’s take a look at some of the most popular coding algorithms that you should have a basic knowledge of before attending an interview.

Dynamic programming:

Dynamic programming is both a mathematical optimization method and a computer programming method. It is a type of algorithm that works on the principle of recursion where each problem is divided into smaller sub-problems and the solution of the final problem depends on the solution of the smaller ones. In this process, it is guaranteed that the sub-problems are solved before solving the problem. This is called dynamic programming.

Hash Algorithms:

A hash function is a function that can be used to map data of arbitrary size to values ​​of fixed size. Hash functions are mathematical functions that convert complex input numbers into compressed numeric values. A hash function creates a hash value based on input data blocks that have fixed length data. And the hash algorithm describes how the hash function will be used and defines the complete process of message decomposition and its reconstruction.

Tree traversal algorithms:

Trees are a special form of data structure that includes a root node connected to subtrees in a linked node format. The most commonly used type is called the binary tree where each node can have a maximum of two children. Tree traversal basically consists of visiting each node of the tree while performing certain functions on all values.

Selection sort:

The selection sort algorithm sorts an array by repeatedly finding the minimum element of the unsorted part and placing it at the beginning. Selection sort works by finding the smallest element or the largest element and putting them in the first position. This process continues until all elements of the array have been sorted into their appropriate positions. The working procedure of selection sort is also simple.

Search algorithms:

Search algorithms are used to find an item stored in any form of data structure. These algorithms form the basis of any search system and find use cases in four areas viz. databases, virtual spaces, substructures and quantum computers.

Insertion sort:

Insertion sort is a simple sorting algorithm that constructs the final sorted array, one element at a time. The first element of the array is assumed to be sorted. It takes the second element and stores it separately in a key. With large lists it is less efficient compared to more advanced algorithms

Linear search:

Linear search is a very basic and simple search algorithm. Linear search algorithm is also known as sequential search. The search process will start from the first item and proceed sequentially. This generally works well for unstructured data.

Bubble Sort:

Bubble Sort is the simplest sorting algorithm that works by repeatedly swapping adjacent items if they are in the wrong order. This is the simplest sorting algorithm and it works by comparing adjacent values ​​in the list and putting them in the correct order. It then continues to do this through the list over and over again until all the values ​​in the list have been arranged in the preferred order.

Binary search:

Binary search is a search algorithm used to sort an array by repeatedly dividing the search interval in half. While linear search compares the input element with each list element starting from the first element, the binary search algorithm starts with the middle element. Since it is a type of range search algorithm, it is only used on sorted data structures.

Sorting algorithms:

The sorting algorithm is used to reorder a given array or list of items based on a comparison operator. The comparison operator is used to decide the new order of the elements in the respective data structure. It helps you organize your data in a particular form to make sense of it.

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Sharon D. Cole