Data-Driven Methods for Dynamic Systems
$217.42
- Paperback
169 pages
- Release Date
30 November 2024
Summary
As experimental data sets have grown and computational power has increased, new tools have been developed that have the power to model new systems and fundamentally alter how current systems are analyzed. This book brings together modern computational tools to provide an accurate understanding of dynamic data. The techniques build on pencil-and-paper mathematical techniques that go back decades and sometimes even centuries. The result is an introduction to state-of-the-art methods that comple…
Book Details
| ISBN-13: | 9781611978155 |
|---|---|
| ISBN-10: | 1611978157 |
| Author: | Jason J. Bramburger |
| Publisher: | Society for Industrial & Applied Mathematics,U.S. |
| Imprint: | Society for Industrial & Applied Mathematics,U.S. |
| Format: | Paperback |
| Number of Pages: | 169 |
| Release Date: | 30 November 2024 |
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Jason J. Bramburger
Jason Bramburger
Jason Bramburger is an assistant professor of mathematics at Concordia University. Previously, he was an NSERC postdoctoral fellow at Brown University, a PIMS postdoctoral fellow at the University of Victoria, and a member of the Brunton–Kutz research group at the University of Washington. In 2021, he was named a fellow of the Institute of Advanced Study in Guildford, UK.
His mathematical expertise is in dynamical systems, which he applies broadly to problems in pattern formation, wave propagation, spatiotemporal chaos, and data science. Jason has a passion for outreach and effective communication, as demonstrated by expository articles and an active YouTube channel with course lectures on differential equations, mathematical modeling, and dynamical systems.
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