Information retrieval systems rely on specialised data structures and algorithms to index, query and retrieve relevant information from large collections of text or other data types. Traditional ...

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 ...

Data structures in Python - a good idea! Data structure books are classical computer science - every CS lecturer plans on writing one at some point because the subject is so closed and neat. You don't ...

This book is a deep dive into the world of data structures and algorithms that Federico Kereki says will transform the way you approach problem solving in JavaScript. Each chapter has clear, ...

A data structure is a specialized format for organizing, processing, retrieving and storing data. There are several basic and advanced types of data structures, all designed to arrange data to suit a ...

CS, a cuckoo search-based algorithm with specialized indexing, deduplication, and discrete update strategies that mines high ...

Description: This course covers and relates fundamental components of programs. Students use various data structures to solve computational problems, and implement data structures using a high-level ...

The computational manipulation of polynomials is a foundational element across pure and applied mathematics, computer algebra, cryptography and scientific computing. Central tasks include ...

Researchers at the University of Bologna have developed DSC+, a two-phase streaming clustering algorithm that profiles the ...

AI R&D runs on a cycle of hypothesis, experiment, and analysis — each step demanding substantial manual engineering effort. A new framework from researchers at SII-GAIR aims to close that bottleneck ...