Hi everyone, I would like to speed up my code and I have the following problem: I want to create a more complicated Expression based on a finite element function. I can create the functionality I need with an UserExpression, which looks like this: class profile(fenics.UserExpression): def __init__…

The following modified version appears to work: from dolfin import * import numpy as np cpp_code = """ #include <pybind11/pybind11.h> #include <pybind11/eigen.h> namespace py = pybind11; #include <dolfin/function/Expression.h> #include <dolfin/function/Function.h> class Profile : public dolfin:…

Hey, David! It seems like your code is not reproducible in the latest dolfin version. Some import errors appear. I am currently doing things closely related to this topic: passing python list of Functions to c++ function. However, I get TypeError: incompatible function arguments on a simple exampl…

Yep, the problem is in the dolfin’s version. In 2018.1.0 it works, in the latest docker image of 2019.1.0, it doesn’t

Were you able to figure this out? I am having the same problem.

For anyone reading this later: You have to includesome header files :slight_smile: This worked for me. This code simply reads the values from the function/Expression/MeshFunction and adds the values. Hope this helps anyone :slight_smile: :upside_down_face: #include <pybind11/pybind11.h> #include <…

Pass Function to C++ expression

variational formulation

plugged July 1, 2019, 12:50pm 3

Thanks a lot, it works

Very costly interpolation of UserExpression

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Pass Function to C++ expression

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