Persistence Theory From Quiver Representations to Data Analysis is popular PDF and ePub book, written by Steve Y. Oudot in 2017-05-17, it is a fantastic choice for those who relish reading online the Uncategoriezed genre. Let's immerse ourselves in this engaging Uncategoriezed book by exploring the summary and details provided below. Remember, Persistence Theory From Quiver Representations to Data Analysis can be Read Online from any device for your convenience.
Persistence Theory From Quiver Representations to Data Analysis Book PDF Summary
Persistence theory emerged in the early 2000s as a new theory in the area of applied and computational topology. This book provides a broad and modern view of the subject, including its algebraic, topological, and algorithmic aspects. It also elaborates on applications in data analysis. The level of detail of the exposition has been set so as to keep a survey style, while providing sufficient insights into the proofs so the reader can understand the mechanisms at work. The book is organized into three parts. The first part is dedicated to the foundations of persistence and emphasizes its connection to quiver representation theory. The second part focuses on its connection to applications through a few selected topics. The third part provides perspectives for both the theory and its applications. The book can be used as a text for a course on applied topology or data analysis.
Detail Book of Persistence Theory From Quiver Representations to Data Analysis PDF
- Author : Steve Y. Oudot
- Release : 17 May 2017
- Publisher : American Mathematical Soc.
- ISBN : 9781470434434
- Genre : Uncategoriezed
- Total Page : 218 pages
- Language : English
- PDF File Size : 10,7 Mb
If you're still pondering over how to secure a PDF or EPUB version of the book Persistence Theory From Quiver Representations to Data Analysis by Steve Y. Oudot, don't worry! All you have to do is click the 'Get Book' buttons below to kick off your Download or Read Online journey. Just a friendly reminder: we don't upload or host the files ourselves.