Anbieter: World of Books (was SecondSale), Montgomery, IL, USA
Zustand: Good. Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc.
Paperback. Zustand: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 22,21
Anzahl: 2 verfügbar
In den WarenkorbPaperback. Zustand: Brand New. 332 pages. 8.50x5.50x0.75 inches. In Stock.
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 20,84
Anzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New. In.
Anbieter: Books From California, Simi Valley, CA, USA
paperback. Zustand: Very Good.
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 48,25
Anzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New. In.
EUR 71,04
Anzahl: 2 verfügbar
In den WarenkorbPaperback. Zustand: Brand New. 229 pages. 9.25x6.10x0.49 inches. In Stock.
Zustand: New. 2024. 2024 ed. paperback. . . . . . Books ship from the US and Ireland.
Sprache: Englisch
Verlag: Springer Nature Switzerland, 2024
ISBN 10: 3031514610 ISBN 13: 9783031514616
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: 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.