Java programmers use data structures to store and organize data, and we use algorithms to manipulate the data in those structures. The more you understand about data structures and algorithms, and how ...

While singly-linked lists have many uses, they also present some restrictions. For one thing, singly-linked lists restrict node traversal to a single direction: you can’t traverse a singly-linked list ...

The Java Platform provides the most commonly used data structures in the form of the Collections Framework, and it provides a rich API to operate on them. In this first article in a two-part series, I ...

The Foundations of Data Structures and Algorithms specialization includes two optional preparation courses and a three-course pathway to earn admission to the Online MS in Computer Science. You must ...

Data structures and algorithms are vital elements in many computing applications. When programmers design and build applications, they need to model the application data. What this data consists of ...

A concurrent data structure is a particular way of storing and organizing data for access by multiple computing threads (or processes) on a computer. Algorithms for concurrent data structure have ...

The design, implementation, and analysis of abstract data types, data structures and their algorithms. Topics include: data and procedural abstraction, amortized data structures, trees and search ...

Building fast and highly performant data science applications requires an intimate knowledge of how data can be organized in a computer and how to efficiently perform operations such as sorting, ...

Data structures and algorithms constitute the foundational pillars of computer science. They provide the systematic methods for organising, storing and manipulating data, and offer step-by-step ...