Geometric and Topological Inference | Agenda Bookshop Skip to content
Black Friday Sale Now On! | Buy 3 Get 1 Free on all books | Instore & Online.
Black Friday Sale Now On! | Buy 3 Get 1 Free on all books | Instore & Online.
A01=Frédéric Chazal
A01=Jean-Daniel Boissonnat
A01=Mariette Yvinec
Age Group_Uncategorized
Age Group_Uncategorized
Author_Frédéric Chazal
Author_Jean-Daniel Boissonnat
Author_Mariette Yvinec
automatic-update
Category1=Non-Fiction
Category=GPH
Category=PBM
Category=PBP
Category=UYA
COP=United Kingdom
Delivery_Delivery within 10-20 working days
Language_English
PA=In stock
Price_€20 to €50
PS=Active
softlaunch

Geometric and Topological Inference

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. See more
Current price €41.39
Original price €45.99
Save 10%
A01=Frédéric ChazalA01=Jean-Daniel BoissonnatA01=Mariette YvinecAge Group_UncategorizedAuthor_Frédéric ChazalAuthor_Jean-Daniel BoissonnatAuthor_Mariette Yvinecautomatic-updateCategory1=Non-FictionCategory=GPHCategory=PBMCategory=PBPCategory=UYACOP=United KingdomDelivery_Delivery within 10-20 working daysLanguage_EnglishPA=In stockPrice_€20 to €50PS=Activesoftlaunch
Delivery/Collection within 10-20 working days
Product Details
  • Weight: 350g
  • Dimensions: 153 x 229mm
  • Publication Date: 27 Sep 2018
  • Publisher: Cambridge University Press
  • Publication City/Country: United Kingdom
  • Language: English
  • ISBN13: 9781108410892

About Frédéric ChazalJean-Daniel BoissonnatMariette Yvinec

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.

Customer Reviews

Be the first to write a review
0%
(0)
0%
(0)
0%
(0)
0%
(0)
0%
(0)
We use cookies to ensure that we give you the best experience on our website. If you continue we'll assume that you are understand this. Learn more
Accept