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minimal Numeric.AD example won't compile

score 225 · Answer 1 · 2016-12-26 11:17:21

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minimal Numeric.AD example won't compile

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

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score 127 · Answer 7 · 2021-05-29 17:28:40

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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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