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Updating Lux with Nested AD #111
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Co-authored-by: Avik Pal <[email protected]>
* Update Project with new dependencies * remove FiniteDifferences from dependencies * Example of APWP fit based on Jupp1987 * add complex-step method * Double differentiation working with complex-step method * Initial condition u0 fitting implemented * Projected gradient descent working for u0. Some more tests * Testing activation functions with complex-step * predict function, return multiple losses * Co-authored-by: Jordi Bolibar <[email protected]> * Multiple shooting working once sensealg specified * Double rotation example with small changes in src * feat: update to support Lux 1.0 * Example with double rotation working with non-updated Lux * Integration test of inversion * Added Random as test dependency * Fix Lux version Co-authored-by: Avik Pal <[email protected]> --------- Co-authored-by: Avik Pal <[email protected]>
* feat: update to support Lux 1.0 * ci: up to 1.10 * fix: make the activations more Lux friendly
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This PR incorporates a series of changes around the new version of
Lux=1.0
.