Geometric and Topological Inference (Cambridge Texts in Applied Mathematics #57)
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- Synopsis
- 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.
- Copyright:
- 2018
Book Details
- Book Quality:
- Publisher Quality
- ISBN-13:
- 9781108317610
- Related ISBNs:
- 9781108419390
- Publisher:
- Cambridge University Press
- Date of Addition:
- 09/27/18
- Copyrighted By:
- Jean-Daniel Boissonnat, Frédéric Chazal, Mariette Yvinec
- Adult content:
- No
- Language:
- English
- Has Image Descriptions:
- No
- Categories:
- Nonfiction, Computers and Internet, Textbooks, Mathematics and Statistics
- Submitted By:
- Bookshare Staff
- Usage Restrictions:
- This is a copyrighted book.
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- by Jean-Daniel Boissonnat
- by Frédéric Chazal
- by Mariette Yvinec
- in Nonfiction
- in Computers and Internet
- in Textbooks
- in Mathematics and Statistics