Algebraic Geometry for Coding Theory and Cryptography - IPAM, Los Angeles, CA, February 2016 (Hardcover, 1st ed. 2017)

Covering topics in algebraic geometry, coding theory, and cryptography, this volume presents interdisciplinary group research completed for the February 2016 conference at the Institute for Pure and Applied Mathematics (IPAM) in cooperation with the Association for Women in Mathematics (AWM). The conference gathered research communities across disciplines to share ideas and problems in their fields and formed small research groups made up of graduate students, postdoctoral researchers, junior faculty, and group leaders who designed and led the projects. Peer reviewed and revised, each of this volume's five papers achieves the conference's goal of using algebraic geometry to address a problem in either coding theory or cryptography. Proposed variants of the McEliece cryptosystem based on different constructions of codes, constructions of locally recoverable codes from algebraic curves and surfaces, and algebraic approaches to the multicast network coding problem are only some of the topics covered in this volume. Researchers and graduate-level students interested in the interactions between algebraic geometry and both coding theory and cryptography will find this volume valuable.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Association for Women in Mathematics Series, 9
Release date:	November 2017
First published:	2017
Editors:	Everett W. Howe • Kristin E. Lauter • Judy L. Walker
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	150
Edition:	1st ed. 2017
ISBN-13:	978-3-319-63930-7
Categories:	Books > Reference & Interdisciplinary > Communication studies > Coding theory & cryptology Books > Science & Mathematics > Mathematics > Geometry > Algebraic geometry Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematical modelling Books > Computing & IT > Applications of computing > Databases > Data security & data encryption
LSN:	3-319-63930-7
Barcode:	9783319639307

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