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JAX FDM: A differentiable solver for inverse formfindingRafael Pastrana 1 2 Deniz Oktay 3 Ryan P. Adams 3 Sigrid Adriaenssens 2arXiv:2307.12407v2 [cs.CE] 29 Oct 2023Abstract We introduce JAX FDM,
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01
Make sure you have a clear understanding of the function you want to differentiate.
02
Determine the point at which you want to find the derivative.
03
Import the jax library in your Python script.
04
Define the function using jax.numpy syntax.
05
Use the jax.grad() function to compute the derivative of the function at the specified point.

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Individuals working in fields such as mathematics, physics, engineering, or any other field that requires the computation of derivatives.
02
Researchers or professionals who need to solve optimization problems using numerical methods.
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