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, ...

Studies data abstractions (e.g., stacks, queues, lists, trees) and their representation techniques (e.g., linking, arrays). Introduces concepts used in algorithm design and analysis including criteria ...

Map matching algorithms are fundamental to aligning raw positioning data, typically obtained through GPS, with digital road network databases. These techniques address inherent uncertainties in ...

Compressed data structures lie at the intersection of data structures and data compression. Often, if a particular data set is compressible, a data structure built from it is compressible too. The aim ...

Drug discovery efforts based on protein structures use techniques such as X-ray ... ColdBrew algorithm puts water to work ... Precomputed data for over 100,000 protein structures are ...