# 5. Determine the list of true (i.e. conforming) essential boundary dofs. # In this example, the boundary conditions are defined by marking all # the boundary attributes from the mesh as essential (Dirichlet) and # converting them to a list of true dofs. ess_tdof_list = mfem.intArray() if mesh.bdr_attributes.Size() > 0: ess_bdr = mfem.intArray([1] * mesh.bdr_attributes.Max()) ess_bdr = mfem.intArray(mesh.bdr_attributes.Max()) ess_bdr.Assign(1) fespace.GetEssentialTrueDofs(ess_bdr, ess_tdof_list) #6. Set up the linear form b(.) which corresponds to the right-hand side of # the FEM linear system, which in this case is (1,phi_i) where phi_i are # the basis functions in the finite element fespace. b = mfem.LinearForm(fespace) one = mfem.ConstantCoefficient(1.0) b.AddDomainIntegrator(mfem.DomainLFIntegrator(one)) b.Assemble() #7. Define the solution vector x as a finite element grid function # corresponding to fespace. Initialize x with initial guess of zero, # which satisfies the boundary conditions. x = mfem.GridFunction(fespace) x.Assign(0.0) #8. Set up the bilinear form a(.,.) on the finite element space # corresponding to the Laplacian operator -Delta, by adding the Diffusion # domain integrator. a = mfem.BilinearForm(fespace) a.AddDomainIntegrator(mfem.DiffusionIntegrator(one)) #9. Assemble the bilinear form and the corresponding linear system, # applying any necessary transformations such as: eliminating boundary # conditions, applying conforming constraints for non-conforming AMR, # static condensation, etc.
gcoeff = gFunc() ucoeff = uFunc_ex(dim) pcoeff = pFunc_ex() x = mfem.BlockVector(block_offsets) rhs = mfem.BlockVector(block_offsets) fform = mfem.LinearForm() fform.Update(R_space, rhs.GetBlock(0), 0) fform.AddDomainIntegrator(mfem.VectorFEDomainLFIntegrator(fcoeff)) fform.AddBoundaryIntegrator(mfem.VectorFEBoundaryFluxLFIntegrator(fnatcoeff)) fform.Assemble() gform = mfem.LinearForm() gform.Update(W_space, rhs.GetBlock(1), 0) gform.AddDomainIntegrator(mfem.DomainLFIntegrator(gcoeff)) gform.Assemble() mVarf = mfem.BilinearForm(R_space) bVarf = mfem.MixedBilinearForm(R_space, W_space) mVarf.AddDomainIntegrator(mfem.VectorFEMassIntegrator(k)) mVarf.Assemble() mVarf.Finalize() M = mVarf.SpMat() bVarf.AddDomainIntegrator(mfem.VectorFEDivergenceIntegrator()) bVarf.Assemble() bVarf.Finalize() B = bVarf.SpMat() B *= -1
fec = mfem.H1_FECollection(order, dim) fespace = mfem.FiniteElementSpace(mesh, fec) # 6. As in Example 1p, we set up bilinear and linear forms corresponding to # the Laplace problem -\Delta u = 1. We don't assemble the discrete # problem yet, this will be done in the inner loop. a = mfem.BilinearForm(fespace) b = mfem.LinearForm(fespace) one = mfem.ConstantCoefficient(1.0) bdr = BdrCoefficient() rhs = RhsCoefficient() integ = mfem.DiffusionIntegrator(one) a.AddDomainIntegrator(integ) b.AddDomainIntegrator(mfem.DomainLFIntegrator(rhs)) # 7. The solution vector x and the associated finite element grid function # will be maintained over the AMR iterations. x = mfem.GridFunction(fespace) # 8. Connect to GLVis. if visualization: sout = mfem.socketstream("localhost", 19916) sout.precision(8) # 9. As in Example 6, we set up a Zienkiewicz-Zhu estimator that will be # used to obtain element error indicators. The integrator needs to # provide the method ComputeElementFlux. The smoothed flux space is a # vector valued H1 space here. flux_fespace = mfem.FiniteElementSpace(mesh, fec, sdim)
def run(order=1, static_cond=False, meshfile=def_meshfile, visualization=False): mesh = mfem.Mesh(meshfile, 1, 1) dim = mesh.Dimension() # 3. Refine the mesh to increase the resolution. In this example we do # 'ref_levels' of uniform refinement. We choose 'ref_levels' to be the # largest number that gives a final mesh with no more than 50,000 # elements. ref_levels = int(np.floor( np.log(50000. / mesh.GetNE()) / np.log(2.) / dim)) for x in range(ref_levels): mesh.UniformRefinement() #5. Define a finite element space on the mesh. Here we use vector finite # elements, i.e. dim copies of a scalar finite element space. The vector # dimension is specified by the last argument of the FiniteElementSpace # constructor. For NURBS meshes, we use the (degree elevated) NURBS space # associated with the mesh nodes. if order > 0: fec = mfem.H1_FECollection(order, dim) elif mesh.GetNodes(): fec = mesh.GetNodes().OwnFEC() prinr("Using isoparametric FEs: " + str(fec.Name())) else: order = 1 fec = mfem.H1_FECollection(order, dim) fespace = mfem.FiniteElementSpace(mesh, fec) print('Number of finite element unknowns: ' + str(fespace.GetTrueVSize())) # 5. Determine the list of true (i.e. conforming) essential boundary dofs. # In this example, the boundary conditions are defined by marking all # the boundary attributes from the mesh as essential (Dirichlet) and # converting them to a list of true dofs. ess_tdof_list = mfem.intArray() if mesh.bdr_attributes.Size() > 0: ess_bdr = mfem.intArray([1] * mesh.bdr_attributes.Max()) ess_bdr = mfem.intArray(mesh.bdr_attributes.Max()) ess_bdr.Assign(1) fespace.GetEssentialTrueDofs(ess_bdr, ess_tdof_list) #6. Set up the linear form b(.) which corresponds to the right-hand side of # the FEM linear system, which in this case is (1,phi_i) where phi_i are # the basis functions in the finite element fespace. b = mfem.LinearForm(fespace) one = mfem.ConstantCoefficient(1.0) b.AddDomainIntegrator(mfem.DomainLFIntegrator(one)) b.Assemble() #7. Define the solution vector x as a finite element grid function # corresponding to fespace. Initialize x with initial guess of zero, # which satisfies the boundary conditions. x = mfem.GridFunction(fespace) x.Assign(0.0) #8. Set up the bilinear form a(.,.) on the finite element space # corresponding to the Laplacian operator -Delta, by adding the Diffusion # domain integrator. a = mfem.BilinearForm(fespace) a.AddDomainIntegrator(mfem.DiffusionIntegrator(one)) #9. Assemble the bilinear form and the corresponding linear system, # applying any necessary transformations such as: eliminating boundary # conditions, applying conforming constraints for non-conforming AMR, # static condensation, etc. if static_cond: a.EnableStaticCondensation() a.Assemble() A = mfem.OperatorPtr() B = mfem.Vector() X = mfem.Vector() a.FormLinearSystem(ess_tdof_list, x, b, A, X, B) print("Size of linear system: " + str(A.Height())) # 10. Solve AA = mfem.OperatorHandle2SparseMatrix(A) M = mfem.GSSmoother(AA) mfem.PCG(AA, M, B, X, 1, 200, 1e-12, 0.0) # 11. Recover the solution as a finite element grid function. a.RecoverFEMSolution(X, b, x) # 12. Save the refined mesh and the solution. This output can be viewed later # using GLVis: "glvis -m refined.mesh -g sol.gf". mesh.Print('refined.mesh', 8) x.Save('sol.gf', 8) #13. Send the solution by socket to a GLVis server. if (visualization): sol_sock = mfem.socketstream("localhost", 19916) sol_sock.precision(8) sol_sock.send_solution(mesh, x)
def EvalValue(self, x): l2 = np.sum(x**2) return 7 * x[0] * x[1] / l2 class analytic_solution(mfem.PyCoefficient): def EvalValue(self, x): l2 = np.sum(x**2) return x[0] * x[1] / l2 b = mfem.LinearForm(fespace) one = mfem.ConstantCoefficient(1.0) rhs_coef = analytic_rhs() sol_coef = analytic_solution() b.AddDomainIntegrator(mfem.DomainLFIntegrator(rhs_coef)) b.Assemble() # 6. Define the solution vector x as a finite element grid function # corresponding to fespace. Initialize x with initial guess of zero. x = mfem.GridFunction(fespace) x.Assign(0.0) # 7. Set up the bilinear form a(.,.) on the finite element space # corresponding to the Laplacian operator -Delta, by adding the Diffusion # and Mass domain integrators. a = mfem.BilinearForm(fespace) a.AddDomainIntegrator(mfem.DiffusionIntegrator(one)) a.AddDomainIntegrator(mfem.MassIntegrator(one)) # 8. Assemble the linear system, apply conforming constraints, etc.