Application of Machine Learning to Numerical Algebraic Geometry
| dc.contributor.author | Brake, Danielle | |
| dc.contributor.author | Ericson, Sarah | |
| dc.contributor.author | Hessler, Dan | |
| dc.date.accessioned | 2020-05-05T19:33:26Z | |
| dc.date.available | 2020-05-05T19:33:26Z | |
| dc.date.issued | 2018-04 | |
| dc.description | Color poster with text, graphs, and images. | en_US |
| dc.description.abstract | The solution of arbitrary polynomial systems is an area of active research, and has many applications in math, science and engineering. This program, Bertini 2, builds on the success of the first Bertini program, and seeks to eventually replace it entirely, as a powerful numerical engine. | en_US |
| dc.description.sponsorship | University of Wisconsin--Eau Claire Office of Research and Sponsored Programs. | en_US |
| dc.identifier.uri | http://digital.library.wisc.edu/1793/80069 | |
| dc.language.iso | en_US | en_US |
| dc.relation.ispartofseries | USGZE AS589; | |
| dc.subject | Posters | en_US |
| dc.subject | Mathematics | en_US |
| dc.subject | Geometry | en_US |
| dc.subject | Python (programming language) | en_US |
| dc.subject | Bertini 2 | en_US |
| dc.subject | TensorFlow | en_US |
| dc.title | Application of Machine Learning to Numerical Algebraic Geometry | en_US |
| dc.type | Presentation | en_US |