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| author | Bryan Newbold <bnewbold@archive.org> | 2020-10-27 23:14:41 -0700 |
|---|---|---|
| committer | Bryan Newbold <bnewbold@archive.org> | 2020-10-27 23:14:41 -0700 |
| commit | c953b1967ba67bb012b1aa890b6741715be0f4cd (patch) | |
| tree | 1b116a8e3d0c8889e31515f29c3bbbdc2bb8ff67 /2020 | |
| parent | 7d6744f637b06a088ec6c31f3093e66ae57960a4 (diff) | |
| download | modelthought-c953b1967ba67bb012b1aa890b6741715be0f4cd.tar.gz modelthought-c953b1967ba67bb012b1aa890b6741715be0f4cd.zip | |
UW prof notes (old)
Diffstat (limited to '2020')
| -rw-r--r-- | 2020/uw_kutz.md | 10 |
1 files changed, 10 insertions, 0 deletions
diff --git a/2020/uw_kutz.md b/2020/uw_kutz.md new file mode 100644 index 0000000..6280301 --- /dev/null +++ b/2020/uw_kutz.md @@ -0,0 +1,10 @@ + +http://faculty.washington.edu/kutz/page26/ +https://global.oup.com/academic/product/data-driven-modeling-and-scientific-computation-9780199660346?q=Kutz&lang=en&cc=us +https://amath.washington.edu/news/2016/08/25/pursuit-applying-knowledge +https://www.cambridge.org/us/academic/subjects/mathematics/computational-science/data-driven-science-and-engineering-machine-learning-dynamical-systems-and-control?format=HB +https://www.cambridge.org/core/books/datadriven-science-and-engineering/77D52B171B60A496EAFE4DB662ADC36E +http://databookuw.com/ +https://faculty.washington.edu/kutz/am563/am563.html + +also several youtube videos |