Top 10 Programming Algorithms To Learn For Coding Interviews

by Disha Sinha

November 7, 2021

Aspiring software developers and engineers have the basic knowledge of programming languages ​​such as Python, R, Javascript and many more available in the technology-driven world. They may have started to prepare for several job and coding interviews that require sufficient knowledge of programming algorithms. It is necessary to know the programming algorithms for coding the interviews in order to receive lucrative offer letters from reputable companies around the world. So, let’s explore some of the best programming algorithms to pass coding interviews intelligently.

The ten best programmable algorithms for interview coding

Binary search algorithm

A binary search algorithm is one of the best programmable algorithms for interview coding and is known for a fast search algorithm with execution complexity of log n. This programming algorithm typically works on a divide and conquer principle with proper data collection.

Sorting algorithm

Sort Algorithm is also a popular programming algorithm in developer community with different types like bubble sort, insert sort, select sort, merge sort, quick sort and heap sort. . Developers use this algorithm to rearrange a long list of items based on the comparison operator on different items. There are numerical, lexicographic and ascending-descending orders.

Dynamic programming algorithm

Dynamic Programming Algorithm is an essential programming algorithm for successful coding interviews in the future. This is called an optimization over simple recursion. There are several algorithms that use dynamic programming, such as repeating solutions to network patterns for DNA-protein, backward induction as a method of resolution. This programming algorithm is known for its technique of dividing problems into sub-problems and recording the result.

String match and parsing

Matching and parsing of strings are some of the best programming algorithms for computer developers. This programming algorithm helps to perform quick tasks in different fields. It is useful when searching with two types of algorithms such as exact string match algorithms and approximate string match algorithms.

Bellman-Ford algorithm

Developers need to know the Bellman-Ford algorithm to pass coding interviews that work for graphics. It’s a part of dynamic programming that starts with a starting vertex and calculates the distance to different vertices with the ascending approach to find the shortest distance to each vertex.

Dijkstra’s algorithm

Dijkstra’s algorithm is a well-known programmable algorithm for preparing coding interviews. It allows developers to find the shortest path between two peaks with a greedy approach. Developers can implement this programmable algorithm in several programming languages ​​such as C ++, Python, Java, C and many others.

Rollback algorithm

Rollback Algorithm is one of the best programmable algorithms for interview coding, which includes solving problems recursively to build a solution incrementally. There are many examples of backtracking algorithms such as puzzles, crosswords, Sudoku and many more.

Deep search algorithm first

The deep-first search algorithm is known to browse as well as find a tree or graph data structure on a programming language. There are two types of complex analyzes in this programmable algorithm: temporal complexity and spatial complexity.

Lee’s algorithm

Developers should know about Lee’s algorithm before going for a coding interview in the near future. It is known as the one and only solution to maze routing problems to provide optimal solutions. It requires large memory for dense layout and is a wide programming algorithm for using queues to store multiple steps.

Huffman encoding compression algorithm

Hoffman Encoding Compression Algorithm is also known as Lossless Data Compression Algorithm or Huffman Encoding Algorithm. David Huffman developed this programming algorithm to use it for data compression and the approach behind compressing files without losing any important and confidential data.

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