Efficient Data Structures

Dear Colleagues,

Data structures provide ways of compactly organizing and efficiently retrieving various kinds of information. Over the years, they have been used effectively in countless practical and conceptual applications. For example, a nineteenth-century data structure known as the phylogenetic tree, nowadays routinely used for representing the evolutionary history of a set of biological species, has helped scientists to understand the mechanisms of evolution. As another example, a twenty-first-century data structure known as the blockchain, which aims at achieving decentralized consensus, has many potentially important applications involving the creation of permanent ledgers for sharing information over the Internet and automated contracts. For this Special Issue of Algorithms, we would like to invite articles dealing with the design, formal analysis, implementation, and experimental evaluation of efficient data structures for all kinds of computational problems. Of particular interest are algorithms for constructing data structures and extracting information from them efficiently. Articles focusing on complexity aspects of data structures related to time-space tradeoffs, information-theoretic entropy, and lower bounds in various models of computation are also welcome.

Dr. Jesper Jansson
Guest Editor

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