Compressed Data Structures: Algorithms and Applications
A special issue of Algorithms (ISSN 1999-4893).
Deadline for manuscript submissions: closed (30 April 2021) | Viewed by 808
Special Issue Editors
Interests: Algorithms and Data Structures; Computational Geometry
Special Issue Information
Dear Colleagues,
Compressed data structures are a thriving research area at the intersection of data structures and data compression. The goal is to represent the data in the most compact way possible so that these data can be queried efficiently. The study of compressed data structures is motivated by the constantly growing volumes of data that must be stored and processed and by situations when the storage capacity is limited. Compressed data structures are interesting in their own right and as a part of algorithms that work on compressed data without decompressing it. Compressed data structures also find numerous applications in other areas, e.g., they are used to reduce the space consumption of geometric data structures. Although this area has been extensively studied for over two decades, there is still a number of important open questions.
This Special Issue is devoted to all aspects of compressed data structures and their connections to other research areas. Topics include but are not limited to: - compressed and space-efficient data structures
- algorithms on compressed data
- applications of compressed data structures
- space-efficient data structures in computational geometry
- pattern matching
Both theoretical and experimental works will be considered.
Dr. Yakov Nekrich
Dr. Meng He
Guest Editors
Manuscript Submission Information
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Keywords
- compressed and space-efficient data structures
- algorithms on compressed data
- applications of compressed data structures
- space-efficient data structures in computational geometry
- pattern matching
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