Hi, I’m trying to compute a gradient over certain initial condition. I expected a Functional derivation which I can plot gradient over the mesh. However, the compute_gradient() only returns one single float value. Attached is a demonstration code. I found some old demo code uses Funtional() instead …

The output is not a single float value but an internal identifier for some Function object I suppose. Since I’m missing the mesh and time-series files (and since the code seems to be really old) I can’t run your code to check it out. What happens if you plot(dJdK)? What is the output of type(dJdK)? …

Functional is deprecated, assemble is replacing that command to make dolfin-adjointmore flexible. Newer examples can be found at: http://www.dolfin-adjoint.org/en/release/documentation/examples.html As @klunkean suggest, you should plot your function, or save it to file and visualize with paraview…

Thanks klunkean and @dokken . Sorry for those dumb questions, I’m still trying to get familiar with the software. I’m trying to solve a similar problem about get the gradient of an iterative process by mimic the above code. However, the following code did not work the same way. In between of iterati…

Function.sub is not supported in the current version of dolfin-adjoint (use Function.split instead). To differentiate through dolfin Expressions, you must provide a derivative Expression, look here for an example http://www.dolfin-adjoint.org/en/release/documentation/time-dependent-wave/time-depen…

Hi, Thanks for your supports. I am new to FEniCs am currently using this for a project. I am wondering can we get gradient if we use “Function.split”, I receive error message: vector = vector._cpp_object AttributeError: 'float' object has no attribute '_cpp_object'

Please supply a minimal example that reproduces your error message, as described in: [image] Read before posting: How do I get my question answered? Here are a few tips to help get your question answered: Phrase the title of your post as a question and make it meaningfu…

Questions regarding output of compute_gradient()

dolfin-adjoint

dokken November 1, 2021, 7:20am 7

Please supply a minimal example that reproduces your error message, as described in:

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Questions regarding output of compute_gradient()

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