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, ...

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

Reading through the chapter on sorting algorithms in Kiyoshi Ishihata's "Algorithms and Data Structures" brings a certain ...

Data structures and algorithms constitute the foundational toolkit of computer science, enabling efficient storage, retrieval and manipulation of data. Data structures—ranging from arrays, linked ...

Start working toward program admission and requirements right away. Work you complete in the non-credit experience will transfer to the for-credit experience when you ...

A benchmark study reveals that causal structure learning algorithms accurately recover gene regulatory networks under ideal ...

This set of textbooks targets novice learners aspiring to acquire advanced knowledge of the topic of data structures and algorithms. and the material has been split across three volumes to help ...

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 ...

A new sampling algorithm, the open-closed mod-minimizer, reduces the space required for genomic indexes by up to 18 percent ...