Sprache: Englisch
Verlag: Cambridge University Press, 2011
ISBN 10: 1108410898 ISBN 13: 9781108410892
Zustand: Very Good. Very Good condition. A copy that may have a few cosmetic defects. May also contain light spine creasing or a few markings such as an owner's name, short gifter's inscription or light stamp.
Sprache: Englisch
Verlag: Cambridge University Press, 2011
ISBN 10: 1108410898 ISBN 13: 9781108410892
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Erstausgabe
Corner crease to rear cover. No names, underlining, notes or highlighting. d2.
Sprache: Englisch
Verlag: Cambridge University Press, 2011
ISBN 10: 1108410898 ISBN 13: 9781108410892
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Sprache: Englisch
Verlag: Cambridge University Press, 2011
ISBN 10: 1108410898 ISBN 13: 9781108410892
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Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
Sprache: Englisch
Verlag: Cambridge University Press, 2011
ISBN 10: 1108410898 ISBN 13: 9781108410892
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Sprache: Englisch
Verlag: Cambridge University Press, 2011
ISBN 10: 1108410898 ISBN 13: 9781108410892
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Sprache: Englisch
Verlag: Cambridge University Press, 2011
ISBN 10: 1108410898 ISBN 13: 9781108410892
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Verlag: Cambridge University Press, 2011
ISBN 10: 1108410898 ISBN 13: 9781108410892
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Sprache: Englisch
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ISBN 10: 1108410898 ISBN 13: 9781108410892
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In den WarenkorbPaperback. Zustand: Brand New. 233 pages. 9.00x6.00x0.50 inches. In Stock.
Sprache: Englisch
Verlag: Cambridge University Press, 2011
ISBN 10: 1108410898 ISBN 13: 9781108410892
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paperback. Zustand: Befriedigend. 246 Seiten; 9781108410892.4 Gewicht in Gramm: 500.
Sprache: Englisch
Verlag: Cambridge University Press, 2011
ISBN 10: 1108410898 ISBN 13: 9781108410892
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - A rigorous introduction to geometric and topological inference, for anyone interested in a geometric approach to data science.
Sprache: Englisch
Verlag: Cambridge University Press, Cambridge, 2018
ISBN 10: 1108410898 ISBN 13: 9781108410892
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Paperback. Zustand: new. Paperback. Geometric and topological inference deals with the retrieval of information about a geometric object using only a finite set of possibly noisy sample points. It has connections to manifold learning and provides the mathematical and algorithmic foundations of the rapidly evolving field of topological data analysis. Building on a rigorous treatment of simplicial complexes and distance functions, this self-contained book covers key aspects of the field, from data representation and combinatorial questions to manifold reconstruction and persistent homology. It can serve as a textbook for graduate students or researchers in mathematics, computer science and engineering interested in a geometric approach to data science. This book offers a rigorous introduction to geometric and topological inference, a rapidly evolving field that intersects computational geometry, applied topology, and data analysis. It can serve as a textbook for graduate students or researchers in mathematics, computer science and engineering interested in a geometric approach to data science. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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In den WarenkorbPaperback. Zustand: Brand New. 233 pages. 9.00x6.00x0.50 inches. In Stock. This item is printed on demand.
Sprache: Englisch
Verlag: Cambridge University Press, 2011
ISBN 10: 1108410898 ISBN 13: 9781108410892
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Sprache: Englisch
Verlag: Cambridge University Press, Cambridge, 2018
ISBN 10: 1108410898 ISBN 13: 9781108410892
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In den WarenkorbPaperback. Zustand: new. Paperback. Geometric and topological inference deals with the retrieval of information about a geometric object using only a finite set of possibly noisy sample points. It has connections to manifold learning and provides the mathematical and algorithmic foundations of the rapidly evolving field of topological data analysis. Building on a rigorous treatment of simplicial complexes and distance functions, this self-contained book covers key aspects of the field, from data representation and combinatorial questions to manifold reconstruction and persistent homology. It can serve as a textbook for graduate students or researchers in mathematics, computer science and engineering interested in a geometric approach to data science. This book offers a rigorous introduction to geometric and topological inference, a rapidly evolving field that intersects computational geometry, applied topology, and data analysis. It can serve as a textbook for graduate students or researchers in mathematics, computer science and engineering interested in a geometric approach to data science. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Sprache: Englisch
Verlag: Cambridge University Press, 2018
ISBN 10: 1108410898 ISBN 13: 9781108410892
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In den WarenkorbKartoniert / Broschiert. Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book offers a rigorous introduction to geometric and topological inference, a rapidly evolving field that intersects computational geometry, applied topology, and data analysis. It can serve as a textbook for graduate students or researchers in mathema.
Sprache: Englisch
Verlag: Cambridge University Press, Cambridge, 2018
ISBN 10: 1108410898 ISBN 13: 9781108410892
Anbieter: AussieBookSeller, Truganina, VIC, Australien
Paperback. Zustand: new. Paperback. Geometric and topological inference deals with the retrieval of information about a geometric object using only a finite set of possibly noisy sample points. It has connections to manifold learning and provides the mathematical and algorithmic foundations of the rapidly evolving field of topological data analysis. Building on a rigorous treatment of simplicial complexes and distance functions, this self-contained book covers key aspects of the field, from data representation and combinatorial questions to manifold reconstruction and persistent homology. It can serve as a textbook for graduate students or researchers in mathematics, computer science and engineering interested in a geometric approach to data science. This book offers a rigorous introduction to geometric and topological inference, a rapidly evolving field that intersects computational geometry, applied topology, and data analysis. It can serve as a textbook for graduate students or researchers in mathematics, computer science and engineering interested in a geometric approach to data science. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Sprache: Englisch
Verlag: Cambridge University Press, 2018
ISBN 10: 1108410898 ISBN 13: 9781108410892
Anbieter: preigu, Osnabrück, Deutschland
Taschenbuch. Zustand: Neu. Geometric and Topological Inference | Jean-Daniel Boissonnat (u. a.) | Taschenbuch | Kartoniert / Broschiert | Englisch | 2018 | Cambridge University Press | EAN 9781108410892 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.