Composition and computation in dynamical systems
Abstract/Contents
- Abstract
- In this thesis, we explore two ways of analyzing complex systems. The first is compositionally --- understanding large systems as composed of smaller modules --- using tools from applied category theory. And the second is via abstraction --- understanding how continuous dynamical systems can be interpreted as discrete ones --- with applications in computational neuroscience.
Description
| Type of resource | text |
|---|---|
| Form | electronic resource; remote; computer; online resource |
| Extent | 1 online resource. |
| Place | California |
| Place | [Stanford, California] |
| Publisher | [Stanford University] |
| Copyright date | 2023; ©2023 |
| Publication date | 2023; 2023 |
| Issuance | monographic |
| Language | English |
Creators/Contributors
| Author | Libkind, Sophie Shangren |
|---|---|
| Degree supervisor | Carlsson, G. (Gunnar), 1952- |
| Degree supervisor | Vondrák, Jan, (Mathematician) |
| Thesis advisor | Carlsson, G. (Gunnar), 1952- |
| Thesis advisor | Vondrák, Jan, (Mathematician) |
| Thesis advisor | Vakil, Ravi |
| Degree committee member | Vakil, Ravi |
| Associated with | Stanford University, School of Humanities and Sciences |
| Associated with | Stanford University, Department of Mathematics |
Subjects
| Genre | Theses |
|---|---|
| Genre | Text |
Bibliographic information
| Statement of responsibility | Sophie Shangren Libkind. |
|---|---|
| Note | Submitted to the Department of Mathematics. |
| Thesis | Thesis Ph.D. Stanford University 2023. |
| Location | https://purl.stanford.edu/pg155jp4457 |
Access conditions
- Copyright
- © 2023 by Sophie Shangren Libkind
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
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