Spectral sequences and applied topology
Abstract/Contents
- Abstract
- In this thesis we investigate the utility of spectral sequences for persistent homology, a tool which characterizes the shape of data. We show how to use these spectral sequences to compute persistent homology in parallel.
Description
| Type of resource | text |
|---|---|
| Form | electronic; electronic resource; remote |
| Extent | 1 online resource. |
| Publication date | 2016 |
| Issuance | monographic |
| Language | English |
Creators/Contributors
| Associated with | Lewis, Ryan H |
|---|---|
| Associated with | Stanford University, Institute for Computational and Mathematical Engineering. |
| Primary advisor | Carlsson, Gunnar |
| Thesis advisor | Carlsson, Gunnar |
| Thesis advisor | Guibas, Leonidas J |
| Thesis advisor | Morozov, Dmitriy, 1982- |
| Advisor | Guibas, Leonidas J |
| Advisor | Morozov, Dmitriy, 1982- |
Subjects
| Genre | Theses |
|---|
Bibliographic information
| Statement of responsibility | Ryan H. Lewis. |
|---|---|
| Note | Submitted to the Institute for Computational and Mathematical Engineering. |
| Thesis | Thesis (Ph.D.)--Stanford University, 2016. |
| Location | electronic resource |
Access conditions
- Copyright
- © 2016 by Ryan H Lewis
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
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