Examines several design issues, including selection of data structures based on operations to be optimized, algorithm encapsulation using classes and templates, and how and when to use recursion.

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 ...

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 ...

The new data sorting system based on memristor technology, improved energy efficiency by more than 160 times compared to ...