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It would be useful for JuMP to have a method to compute jacobian-vector and jacobian-matrix products. The current approach for computing jacobians can be interpreted as a jacobian-matrix products with…
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```julia
julia> g(x, y) = sum((x .* y).^2)
g (generic function with 1 method)
julia> f = let y = rand(10)
x -> g(x, y)
end
#57 (generic function with 1 method)
julia> hess…
jbrea updated
3 weeks ago
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See if we get negative frequencies in the proper directions for saddle points.
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Trying to use the minimize function with methods
- trust-ncg
- dogleg
- newton-exact
- trust-exact
- trust-krylov
But succeeds with the other methods. Presumably, the other methods aren…
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- [x] Greedy Star Coloring, "[What Color is your Jacobian](https://pdfs.semanticscholar.org/ae4d/65769b6551a51d6fc6be2f021515bffa0798.pdf)?" pg 662
- [x] Greedy Star Coloring 2, "[What Color is you…
pkj-m updated
4 years ago
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H, wfn2 = psi4.hessian('b3lyp', return_wfn=True)
wfn2.to_file()
Traceback (most recent call last):
File "/root/.pycharm_helpers/pydev/pydevconsole.py", line 364, in runcode
coro = func()
…
wszs updated
8 months ago
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Hey,
I've been trying to input higher order derivatives for a while using GaussianProcess.add_data(), but I am really confused as to how one should input gradients or hessians this way since the docu…
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### 🚀 The feature, motivation and pitch
Submitting this feature request to get functorch.hessians downstream of torch.cdist, and the error issued by pytorch asked me to submit this to prioritize this…
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There should be a way to take a Stan program (path to file or string) and a data specification (list of values or names of variables from environment or just an environemnt) and produce an object with…
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Here are the results of a benchmark between SCT and JuMP sparsity detection, on the suite of OptimizationProblems. The benchmark code is at https://github.com/gdalle/SparsityDetectionComparison
Pro…