Geometric and Topological Inference: 57 (Cambridge Texts in Applied Mathematics, Series Number 57) - Softcover

Boissonnat, Jean-Daniel

Softcover

ISBN 10: 1108410898 ISBN 13: 9781108410892

Publisher: Cambridge University Press, 2018

Synopsis

A rigorous introduction to geometric and topological inference, for anyone interested in a geometric approach to data science.

About this title

About the Authors

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.

Frédéric Chazal is a Research Director at the Institut national de recherche en informatique et en automatique, France, where he is heading the DataShape team, a pioneering and world leading group in computational geometry and topological data analysis. His current primary research is on topological data analysis and its connections with statistics and machine learning, and he has authored several reference papers in this domain. He is an associate editor of four international journals and he teaches topological data analysis in various universities and engineering schools in the Paris area.

Mariette Yvinec was a Researcher at the Institut national de recherche en informatique et en automatique, France. She is a specialist in the field of shape reconstruction and meshing, and taught master's courses on the subject in various universities in Paris. She co-authored a reference book on computational geometry with Jean-Daniel Boissonnat, and played an active role in the design and development of the software library CGAL.

Edition details

• Publisher: Cambridge University Press
• Publication date: 2018
• Language: English
• ISBN 10: 1108410898
• ISBN 13: 9781108410892
• Binding: Paperback
• Number of pages: 246