This article highlights the top 10 algorithms that every programmer should be familiar with. From sorting and searching algorithms to more advanced concepts like dynamic programming and machine learning, these algorithms form the foundation of efficient problem-solving and are widely applicable in real-world software development.
The Knapsack Problem is a classic optimization problem in computer science and mathematics. The goal is to maximize the value of items placed in a knapsack without exceeding its weight capacity. This problem has many variations, but the most common are: 0/1 Knapsack Problem: Each item can either be included or excluded. Fractional Knapsack Problem: Items can be divided to maximize value.
Data structures are fundamental concepts for any software application and programming in general. It is an incredibly valuable skill set to serve you in your career. That’s why it is a great idea to start learning it in college to have time for practice and in-depth research.
Algorithmic logic is crucial for computer science. It might sound complex for a beginner, but it is manageable upon further inspection. It is based on the daily logic people use whether they look for the best assignment help website or the best flight ticket aggregator. Hopefully, this guide will help you start with mastering algorithms.
Shell Sort Algorithm sorts elements in array at a specific interval. At first, it sorts the elements that are away from each other and successively reduces the interval between them. Shell Sort is named after Donald Lewis Shell who initially wrote it in a research paper called A High-Speed Sorting Procedure.
The coding interview platform provided by several kinds of organizations is considered to be the best possible way of recruiting people who are the best fit for the organization. At the time of hiring the people for technical jobs, it is very much important to judge their technical skills and the first barrier to entry in this particular concept can be termed as the technical or coding interview.
Explore the top 10 historic and prestigious programming competitions. Participate in annual or year-round coding challenges using C, C++, Java, C#, or any language of your choice—and win prizes.
This article is about a collection of common Computer Science algorithms which may be used in C projects. The C Programming Language has a much smaller Standard Library as compared to other more modern programming languages such as Java or Python. The library provides a basic set of mathematical functions, string manipulation, type conversions, and file and console-based I/O.
In order to find middle element of linked list in one pass, you need to maintain two pointers, one increment at each node while other increments after two nodes at a time. By having this arrangement, when first pointer reaches end, second pointer will point to middle element of linked list.
Stanford Engineering Everywhere (SEE) offers few computer science courses to students online and at no charge. Programming Abstractions course covers advanced programming topics such as recursion, algorithmic analysis, and data abstraction using the C++ programming language, which is similar to both C and Java.
This is the implementation of Kruskal’s Algorithm in C and C++ Programming Languages. This algorithm is directly based on the generic MST (Minimum Spanning Tree) algorithm. Kruskal’s algorithm is a greedy algorithm in graph theory that finds a minimum spanning tree for a connected weighted graph. It finds a subset of the edges that forms a tree that includes every vertex, where the total weight of all the edges in the tree is minimized.
Originally written in 1979 at Computer Laboratory, Cambridge (England), it was reprinted in 1997 in the book “Readings in Information Retrieval”. Initially it was written in BCPL language. Here is the list of implementations in other programming languages including C, Java and Pearl implementations done by author himself.
