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This isn't an issue per se, but more of a request for comment. First, we have two separate algorithms for calculating numerical gradients. The first is a classic two point—well, technically three poin…
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This is an issue to track Drake::MBP vs alternatives (currently Pinocchio). This example is on a Cassie URDF. Some comments on the plant:
- Does not include loop closure
- Does not include contact…
mposa updated
2 years ago
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Hello,
I am contacting you because I am encountering an issue with post-processing. I have a 2D domain where I am simulating the propagation of a planar auto-ignition front. The boundary conditions…
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I've been playing with calculus, and I was thinking of writing a sample notebook, that would show how to do numeric integration and derivation (ForwardDiff, QuadGK), symbolic derivation (ModelingToolk…
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All PRs and attempts to add general nonlinear model (not with link, single index) have stalled so far.
(I was looking again at outlier robust estimation of nonlinear mean functions `y = f(x, theta) +…
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two ideas to better exploit the structure of the loglikelihood for possibly higher performance or higher accuracy
Currently we compute derivatives directly from the loglike.
- curse of dimension…
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After talking with @bartgol at the EESM meeting last week, he suggested making a tracking issue to discuss changes that would be useful or necessary for differentiable modeling, specifically with auto…
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If predictions are 0 (therefore on the linear predictor scale `log(0)=-Inf`), then getting derivatives for use in variance estimation is tricky. Numerically (`grad()`), it falls over.
This seems li…
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### Explain what you would like to see improved and how.
MATLAB and numpy offer numerical derivatives of an array, while ROOT does not. But it offers the opposite, `TH1::Integral`.
Some users do…
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There are couple of problems with the Laplace approximation:
1. For Laplace approximation we use Optim.jl package to evaluate derivatives, however in current version of Optim.jl derivative syntax f…