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Geometric and Topological Inference
Taschenbuch von Jean-Daniel Boissonnat (u. a.)
Sprache: Englisch

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Beschreibung
A rigorous introduction to geometric and topological inference, for anyone interested in a geometric approach to data science.
A rigorous introduction to geometric and topological inference, for anyone interested in a geometric approach to data science.
Über den Autor
Jean-Daniel Boissonnat is a Research Director at the Institut national de recherche en informatique et en automatique, France. His research interests are in computational geometry and topology. He has published several books and more than 180 research papers, and is on the editorial board of the Journal of the ACM and of Discrete and Computational Geometry. He received the IBM award in Computer Science in 1987, the EADS award in Information Sciences in 2006 and was awarded an advanced grant from the European Research Council in 2014. He has taught at several universities in Paris and at the Collège de France.
Inhaltsverzeichnis
Part I. Topological Preliminaries: 1. Topological spaces; 2. Simplicial complexes; Part II. Delaunay Complexes: 3. Convex polytopes; 4. Delaunay complexes; 5. Good triangulations; 6. Delaunay filtrations; Part III. Reconstruction of Smooth Submanifolds: 7. Triangulation of submanifolds; 8. Reconstruction of submanifolds; Part IV. Distance-Based Inference: 9. Stability of distance functions; 10. Distance to probability measures; 11. Homology inference.
Details
Erscheinungsjahr: 2018
Fachbereich: Kommunikationswissenschaften
Genre: Importe, Medienwissenschaften
Rubrik: Wissenschaften
Medium: Taschenbuch
Inhalt: Kartoniert / Broschiert
ISBN-13: 9781108410892
ISBN-10: 1108410898
Sprache: Englisch
Ausstattung / Beilage: Paperback
Einband: Kartoniert / Broschiert
Autor: Boissonnat, Jean-Daniel
Chazal, Frédéric
Yvinec, Mariette
Hersteller: Cambridge University Press
Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, D-36244 Bad Hersfeld, gpsr@libri.de
Maße: 229 x 152 x 15 mm
Von/Mit: Jean-Daniel Boissonnat (u. a.)
Erscheinungsdatum: 30.11.2018
Gewicht: 0,405 kg
Artikel-ID: 112897064
Über den Autor
Jean-Daniel Boissonnat is a Research Director at the Institut national de recherche en informatique et en automatique, France. His research interests are in computational geometry and topology. He has published several books and more than 180 research papers, and is on the editorial board of the Journal of the ACM and of Discrete and Computational Geometry. He received the IBM award in Computer Science in 1987, the EADS award in Information Sciences in 2006 and was awarded an advanced grant from the European Research Council in 2014. He has taught at several universities in Paris and at the Collège de France.
Inhaltsverzeichnis
Part I. Topological Preliminaries: 1. Topological spaces; 2. Simplicial complexes; Part II. Delaunay Complexes: 3. Convex polytopes; 4. Delaunay complexes; 5. Good triangulations; 6. Delaunay filtrations; Part III. Reconstruction of Smooth Submanifolds: 7. Triangulation of submanifolds; 8. Reconstruction of submanifolds; Part IV. Distance-Based Inference: 9. Stability of distance functions; 10. Distance to probability measures; 11. Homology inference.
Details
Erscheinungsjahr: 2018
Fachbereich: Kommunikationswissenschaften
Genre: Importe, Medienwissenschaften
Rubrik: Wissenschaften
Medium: Taschenbuch
Inhalt: Kartoniert / Broschiert
ISBN-13: 9781108410892
ISBN-10: 1108410898
Sprache: Englisch
Ausstattung / Beilage: Paperback
Einband: Kartoniert / Broschiert
Autor: Boissonnat, Jean-Daniel
Chazal, Frédéric
Yvinec, Mariette
Hersteller: Cambridge University Press
Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, D-36244 Bad Hersfeld, gpsr@libri.de
Maße: 229 x 152 x 15 mm
Von/Mit: Jean-Daniel Boissonnat (u. a.)
Erscheinungsdatum: 30.11.2018
Gewicht: 0,405 kg
Artikel-ID: 112897064
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