03132nam a22005175i 4500 978-3-031-55182-6 DE-He213 20251030111748.0 cr nn 008mamaa 240327s2024 sz | s |||| 0|eng d 9783031551826 978-3-031-55182-6 10.1007/978-3-031-55182-6 doi QA75.5-76.95 UNH bicssc UND bicssc COM030000 bisacsh UNH thema UND thema Bruch, Sebastian. author. aut http://id.loc.gov/vocabulary/relators/aut 74101 Foundations of Vector Retrieval [electronic resource] / by Sebastian Bruch. 1st ed. 2024. Cham : Springer Nature Switzerland : Imprint: Springer, 2024. XX, 185 p. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Preface -- Part I Introduction -- Part II Retrieval Algorithms -- Part III Compression -- Part IV Appendices. . This book presents the fundamentals of vector retrieval. To this end, it delves into important data structures and algorithms that have been successfully used to solve the vector retrieval problem efficiently and effectively. This monograph is divided into four parts. The first part introduces the problem of vector retrieval and formalizes the concepts involved. The second part delves into retrieval algorithms that help solve the vector retrieval problem efficiently and effectively. It includes a chapter each on brand-and-bound algorithms, locality sensitive hashing, graph algorithms, clustering, and sampling. Part three is devoted to vector compression and comprises chapters on quantization and sketching. Finally, the fourth part presents a review of background material in a series of appendices, summarizing relevant concepts from probability, concentration inequalities, and linear algebra. The book emphasizes the theoretical aspects of algorithms and presents related theorems and proofs. It is thus mainly written for researchers and graduate students in theoretical computer science and database and information systems who want to learn about the theoretical foundations of vector retrieval. Information storage and retrieval systems. 65568 Computer science Mathematics. 64041 Information Storage and Retrieval. 65570 Mathematics of Computing. 66501 Mathematical Applications in Computer Science. 65518 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031551819 Printed edition: 9783031551833 https://doi.org/10.1007/978-3-031-55182-6 ZDB-2-SCS ZDB-2-SXCS 58702 58702