Metric algebraic geometry

Metric algebraic geometry combines concepts from algebraic geometry and differential geometry. Building on classical foundations, it offers practical tools for the 21st century. Many applied problems center around metric questions, such as optimization with respect to distances. After a short dive i...

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Bibliographic Details
Main Authors: Breiding, Paul, Kohn, Kathlén, Sturmfels, Bernd
Format: eBook Book
Language:English
Published: Cham Springer Nature Switzerland AG 2024
Birkhäuser
Springer Nature
Birkhäuser Boston
Edition:1
Series:Oberwolfach Seminars
Subjects:
ISBN:9783031514616, 3031514610, 9783031514623, 3031514629
Online Access:Get full text
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Summary:Metric algebraic geometry combines concepts from algebraic geometry and differential geometry. Building on classical foundations, it offers practical tools for the 21st century. Many applied problems center around metric questions, such as optimization with respect to distances. After a short dive into 19th-century geometry of plane curves, we turn to problems expressed by polynomial equations over the real numbers. The solution sets are real algebraic varieties. Many of our metric problems arise in data science, optimization and statistics. These include minimizing Wasserstein distances in machine learning, maximum likelihood estimation, computing curvature, or minimizing the Euclidean distance to a variety. This book addresses a wide audience of researchers and students and can be used for a one-semester course at the graduate level. The key prerequisite is a solid foundation in undergraduate mathematics, especially in algebra and geometry. This is an openaccess book.
Bibliography:Includes bibliographical references
ISBN:9783031514616
3031514610
9783031514623
3031514629
DOI:10.1007/978-3-031-51462-3