Useful Algorithms In Computer Science

In this post, we will discuss Important top 10 algorithms and data structures for competitive coding. Topics Graph algorithms Dynamic programming Searching and Sorting Number theory and Other Mathematical Geometrical and Network Flow Algorithms Data Structures The links below cover most important algorithms and data structure topics

1. Sort Algorithms. Sorting is the most heavily studied concept in Computer Science. Idea is to arrange the items of a list in a specific order. Though every major programming language has built-in sorting libraries, it comes in handy if you know how they work. Depending upon requirement you may want to use any of these. Merge Sort Quick Sort

DFS is a graph traversal algorithm that explores as far as possible along each branch before backtracking. This method is particularly useful for tasks such as finding connected components in graphs. 4. Breadth-First Search BFS BFS is another graph traversal algorithm, but unlike DFS, it explores all neighbors of a node before moving deeper.

Algorithms form the backbone of computer science, enabling efficient problem-solving across different applications. Whether you're preparing for coding interviews, building software, or simply

Good knowledge of standard algorithms is equally important as choosing the right data structure.The following is a list of the top 25 algorithms every programmer and computer science student should know. Binary Search Algorithm

Algorithms are the building blocks of problem solving in computer science and are used to manipulate, process, and analyze data. Whether you are developing software, optimizing systems, or solving complex computational problems, knowing the right algorithm to use can make all the difference.

1. Overview Developers and software engineers preparing for an interview might need to refresh their memory on two topics Software delivery Software delivery interview questions usually cover project management frameworks like Waterfall, Agile, or DevOps, Programming skills and computer science knowledge Programming skills might include specific programming languages like C or Java

QR algorithms for computing eigenvalues have proved incredibly useful Creator John G. F. Francis and by Vera N. Kublanovskaya independently When it was created Late 1950's

Binary search is one of the first things taught in any computer science class. It is perhaps the simplest example of how a little bit of ingenuity can make things, quite literally, exponentially more efficient. Gradient Descent is not necessarily going to be useful. If, however, you are touching anything with regression or machine learning

1. Sorting Algorithms. Sorting algorithms are fundamental to computer science and software development. They arrange data in a particular order, typically numerical or lexicographical, which is important for optimizing other algorithms that require sorted data to function correctly. Why They Exist