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@AlCap23 AlCap23 commented Nov 22, 2019

Needs tests and maybe callback integration

src/dmdc.jl Outdated
@@ -0,0 +1,72 @@
using DifferentialEquations
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use OrdinaryDiffEq directly for these

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codecov bot commented Nov 29, 2019

Codecov Report

Merging #10 into master will increase coverage by 2.75%.
The diff coverage is 73.33%.

Impacted file tree graph

@@            Coverage Diff             @@
##           master      #10      +/-   ##
==========================================
+ Coverage   76.51%   79.27%   +2.75%     
==========================================
  Files           5        6       +1     
  Lines         132      193      +61     
==========================================
+ Hits          101      153      +52     
- Misses         31       40       +9
Impacted Files Coverage Δ
src/DataDrivenDiffEq.jl 100% <ø> (ø) ⬆️
src/dmdc.jl 73.33% <73.33%> (ø)
src/basis.jl 95.65% <0%> (+0.91%) ⬆️

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@AlCap23 AlCap23 marked this pull request as ready for review December 5, 2019 19:56

# See fail with unknown input
sys = DMDc(X, U)
# But with a little more knowledge
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oh nice, good example!

@ChrisRackauckas ChrisRackauckas merged commit f6fb2e0 into master Dec 6, 2019
@ChrisRackauckas ChrisRackauckas deleted the DMDc branch December 6, 2019 02:04
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Did you pull that example from the paper? That's a good one to keep in mind as a positive proof that added knowledge can be required for equation discovery.

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AlCap23 commented Dec 6, 2019

From the book of Kutz and Proctor. But it is also in the paper and on their homepage as a Matlab block I think.

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3 participants