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minimal Numeric.AD example won't compile

score 197 · Answer 1 · 2025-01-02 03:01:59

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minimal Numeric.AD example won't compile

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score 364 · Answer 3 · 2024-12-26 10:56:17

JuMP: Issues of expecting float64, typeError: in typeassert, expected Float64, got ForwardDiff.Dual with autodiff = true and problems with exp()

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How do I take gradients of MultibodyPlant computations w.r.t. mass, center-of-mass, inertia, etc.?

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score 1680 · Answer 10 · 2024-12-26 10:46:08

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TechQA.

List Question

minimal Numeric.AD example won't compile

Is it possible to use GLM with non-fundamental types?

JuMP: Issues of expecting float64, typeError: in typeassert, expected Float64, got ForwardDiff.Dual with autodiff = true and problems with exp()

Partial derivatives using Jax?

Microsoft CNTK Automatic Differentiation

Can Tensorflow take gradient on matrix 2-norm?

How do I take gradients of MultibodyPlant computations w.r.t. mass, center-of-mass, inertia, etc.?

Auto-derivative functions in rcpparmadillio?

How to write a JAX custom vector-Jacobian product (vjp) for softmax

How does pytorch compute derivatives for simple functions?

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