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Published by Gatekeeper Press 2021-05, 2021
ISBN 10: 1662910312 ISBN 13: 9781662910319
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Published by Birkhauser 2/28/2024, 2024
ISBN 10: 3031514610 ISBN 13: 9783031514616
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Paperback or Softback. Condition: New. Metric Algebraic Geometry. Book.
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Condition: New. Über den AutorrnrnPaul Breiding M.D. is a practicing Internist in Rhode Island. He graduated from the Brown University School of Medicine. He is happily married and a father of two great teenagers. He lives in Warwick, Rhode Island. This is.
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Published by Springer Nature Switzerland, 2024
ISBN 10: 3031514610 ISBN 13: 9783031514616
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.
Language: English
Published by Springer Nature Switzerland, Springer International Publishing Feb 2024, 2024
ISBN 10: 3031514610 ISBN 13: 9783031514616
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Taschenbuch. Condition: Neu. Neuware -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.Springer Basel AG in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin 232 pp. Englisch.
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Taschenbuch. Condition: Neu. Metric Algebraic Geometry | Paul Breiding (u. a.) | Taschenbuch | Oberwolfach Seminars | xiv | Englisch | 2024 | Springer | EAN 9783031514616 | Verantwortliche Person für die EU: Springer Basel AG in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Published by Springer Nature Switzerland, 2024
ISBN 10: 3031514610 ISBN 13: 9783031514616
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Add to basketCondition: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | 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.
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Paperback. Condition: Brand New. 229 pages. 9.25x6.10x0.49 inches. In Stock. This item is printed on demand.
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Published by Springer Nature Switzerland Mrz 2024, 2024
ISBN 10: 3031514610 ISBN 13: 9783031514616
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 232 pp. Englisch.