Skip to main content

No project description provided

Project description

Python Bindings for the DUNE-FEM module

Authors: Andreas Dedner, Martin Nolte, and Robert Klöfkorn

dune-fempy aims to provide Python bindings for the dune-fem discretization module. Here an example for solving Poisson's equation:

import math
from ufl import *
import dune.ufl
import dune.create as create

grid = create.grid("ALUConform", dune.grid.cartesianDomain([0, 0], [1, 1], [8, 8]), dimgrid=2)

# set up a diffusion reaction model using UFL
uflSpace = dune.ufl.Space((grid.dimGrid, grid.dimWorld), 1, field="double")
u = TrialFunction(uflSpace)
v = TestFunction(uflSpace)
x = SpatialCoordinate(uflSpace.cell())
a = (inner(grad(u), grad(v)) + inner(u,v)) * dx
# provide an exact solution that will be used to add suitable forcing and dirichlet b.c.
exact = as_vector( [cos(2.*pi*x[0])*cos(2.*pi*x[1])] )
model = create.model("elliptic", grid, a==0, exact=exact, dirichlet={ 1:exact } )

# set up a space and a conforming finite element scheme and solve the PDE
space  = dune.create.space("Lagrange", grid, dimrange=1, order=1)
scheme = create.scheme("h1", space, model, "cg")
uh,info = scheme.solve()

# make 'exact' into a grid function for output and uh into an UFL coefficient for error computation
exact_gf = create.function("ufl", grid, "exact", 5, exact)
uh_coeff = dune.ufl.GridCoefficient(uh)
# now define a grid function representing the pointwise error
l2error_gf = create.function("ufl", grid, "error", 5, as_vector([(exact[0]-uh_coeff[0])**2]) )

error = math.sqrt( l2error_gf.integrate() )
print("size:",grid.size(0),"L2-error:",error)
grid.writeVTK("laplace", pointdata=[ uh, l2error_gf, exact_gf ])

See the file COPYING for full copying permissions.

If you find this tutorial helpful for getting your own projects up and running please cite

Title: Python Bindings for the DUNE-FEM module Authors: Andreas Dedner, Martin Nolte, and Robert Klöfkorn Publisher: Zenodoo, 2020 DOI 10.5281/zenodo.3706994

DOI

Dependencies

dune-fempy depends on the following DUNE modules:

  • dune-common 2.8+
  • dune-geometry 2.8+
  • dune-grid 2.8+
  • dune-python 2.8+
  • dune-fem 2.8+

In addition to the dependencies of these DUNE modules, the following software packages are required:

  • a C++17 compatible C++ compiler
  • Python 2.7+ (although mostly tested with 3.4+)

We strongly recommend installing the following Python packages to make full use of dune-fem's Python bindings:

  • numpy
  • mpi4py
  • ufl (2016.1.0+)

git-2d404a0a28ab3122f8ae41ce03c19f1b9699eb79

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

dune-fempy-2.8.0.dev20210521.tar.gz (20.6 MB view details)

Uploaded Source

File details

Details for the file dune-fempy-2.8.0.dev20210521.tar.gz.

File metadata

  • Download URL: dune-fempy-2.8.0.dev20210521.tar.gz
  • Upload date:
  • Size: 20.6 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.8.5

File hashes

Hashes for dune-fempy-2.8.0.dev20210521.tar.gz
Algorithm Hash digest
SHA256 1c9c848aab8d1beb34dcf8a7683cef78205e98b99be75f696a1dc2bbeecdd304
MD5 45ce02e03ba133ae3c541442b79fe91a
BLAKE2b-256 bbab31418d66d2a2df98c6b44a4ae0db2b21dd2c6776406ea5c31f764d7efafb

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page