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This would be a distribution that is a delta function, where the time of the distribution comes from an ordinary differential equation (ODE) that depends on the state of the system.
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Hi, and thank you for making this code available. I have a dataset where measurements were taken at 1hz, and I am trying to use your filter to add predicted sample in between the measurements, so that…
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UPDATE: See this comment below:
https://github.com/RobotLocomotion/drake/issues/12775#issuecomment-591637572
Don't have a clear picture on the full issue, but there's some odd things going on.
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sch = ImageSchema(shape=[100, 100], spacing=[0.10000000000000001, 0.10000000000000001], optics=Optics(wavelen=0.66, index=1.33, polarization=[1, 0], divergence=0.0), origin=[0.0, 0.0, 0.0])
sph = Sphe…
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If you want to become a reviewer for ReScience, please post your information here. The format is:
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#1723 proposes a new type called `HydrostaticBoussinesqSuperModel` that's intended to be more general than `HydrostaticBoussinesqModel`, because it encapsulates information about the continuous underl…
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### Name
HELICS
### Screenshots
### Focus Topic
Co-simulation of multi-energy systems
### Primary Purpose
Flexible and scalable open-source co-simulation framework is designed …
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**Question❓**
Is it expected that the gradient for ReverseDiff and FiniteDiff disagree, even though the solver steps to almost exactly the same times? The difference goes away when the tolerances a…
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This issue is a continuation of the review discussion for #69, which was a very basic scroll container, and describes some refinements that would be nice.
The easiest is probably scroll bars. Right…
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# Confusing Gradient Output
I got confusing output gradients from Nimble on a simple scene. The scene is about two balls with the same mass making fully elastic collision. In this scene, Nimble giv…