Files
mfem/examples/maxwell-solver/ToroidST/bend-waveguide.cpp
T

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24 KiB
C++

// sample runs: ./bend-waveguide -prob 2 -ref 2 -o 2 -f 0.6
#include "mfem.hpp"
#include <fstream>
#include <iostream>
#include "../common/PML.hpp"
#include "DofMaps.hpp"
using namespace std;
using namespace mfem;
void maxwell_solution(const Vector &x, vector<complex<double>> &E);
void maxwell_curl(const Vector &x, vector<complex<double>> &curlE);
int prob_kind=0;
double L;
double ylim;
// Class for returning the PML coefficients of the bilinear form
class PMLDiagMatrixCoefficient : public VectorCoefficient
{
private:
ToroidPML * pml = nullptr;
void (*Function)(const Vector &, ToroidPML * , Vector &);
public:
PMLDiagMatrixCoefficient(int dim, void(*F)(const Vector &, ToroidPML *,
Vector &),
ToroidPML * pml_)
: VectorCoefficient(dim), pml(pml_), Function(F)
{}
using VectorCoefficient::Eval;
virtual void Eval(Vector &K, ElementTransformation &T,
const IntegrationPoint &ip)
{
double x[3];
Vector transip(x, 3);
T.Transform(ip, transip);
K.SetSize(vdim);
(*Function)(transip, pml, K);
}
};
class PMLMatrixCoefficient : public MatrixCoefficient
{
private:
ToroidPML * pml = nullptr;
void (*Function)(const Vector &, ToroidPML * , DenseMatrix &);
public:
PMLMatrixCoefficient(int dim, void(*F)(const Vector &, ToroidPML *,
DenseMatrix &),
ToroidPML * pml_)
: MatrixCoefficient(dim), pml(pml_), Function(F)
{}
using MatrixCoefficient::Eval;
virtual void Eval(DenseMatrix &M, ElementTransformation &T,
const IntegrationPoint &ip)
{
double x[3];
Vector transip(x, 3);
T.Transform(ip, transip);
M.SetSize(height,width);
(*Function)(transip, pml, M);
}
};
void E_bdr_data_Re(const Vector &x, Vector &E);
void E_bdr_data_Im(const Vector &x, Vector &E);
void E_exact_Re(const Vector &x, Vector &E);
void E_exact_Im(const Vector &x, Vector &E);
void E_exact_Curl_Re(const Vector &x, Vector &E);
void E_exact_Curl_Im(const Vector &x, Vector &E);
void source(const Vector &x, Vector & f);
// Functions for computing the necessary coefficients after PML stretching.
// J is the Jacobian matrix of the stretching function
void detJ_JT_J_inv_Re(const Vector &x, ToroidPML * pml, Vector &D);
void detJ_JT_J_inv_Im(const Vector &x, ToroidPML * pml, Vector &D);
void detJ_inv_JT_J_Re(const Vector &x, ToroidPML * pml, Vector &D);
void detJ_inv_JT_J_Im(const Vector &x, ToroidPML * pml, Vector &D);
void detJ_JT_J_inv_Re(const Vector &x, ToroidPML * pml, DenseMatrix & M);
void detJ_JT_J_inv_Im(const Vector &x, ToroidPML * pml, DenseMatrix & M);
void detJ_inv_JT_J_Re(const Vector &x, ToroidPML * pml, DenseMatrix & M);
void detJ_inv_JT_J_Im(const Vector &x, ToroidPML * pml, DenseMatrix & M);
Array2D<double> comp_domain_bdr;
Array2D<double> domain_bdr;
double mu = 1.0;
double epsilon = 1.0;
double omega;
int dim;
int main(int argc, char *argv[])
{
// 0. Initialize MPI.
int num_procs, myid;
MPI_Init(&argc, &argv);
MPI_Comm_size(MPI_COMM_SELF, &num_procs);
MPI_Comm_rank(MPI_COMM_SELF, &myid);
// 1. Parse command-line options.
// const char *mesh_file = "torus1_4.mesh";
// const char *mesh_file = "waveguide-bend2.mesh";
const char *mesh_file = "meshes/waveguide-bend.mesh";
int order = 1;
int ref_levels = 1;
double freq = 5.0;
bool herm_conv = true;
bool visualization = 1;
OptionsParser args(argc, argv);
args.AddOption(&mesh_file, "-m", "--mesh",
"Mesh file to use.");
args.AddOption(&order, "-o", "--order",
"Finite element order (polynomial degree).");
args.AddOption(&prob_kind, "-prob", "--problem-kind",
"Problem/mesh choice");
args.AddOption(&ref_levels, "-ref", "--refinements",
"Number of refinements");
args.AddOption(&mu, "-mu", "--permeability",
"Permeability of free space (or 1/(spring constant)).");
args.AddOption(&epsilon, "-eps", "--permittivity",
"Permittivity of free space (or mass constant).");
args.AddOption(&freq, "-f", "--frequency",
"Frequency (in Hz).");
args.AddOption(&herm_conv, "-herm", "--hermitian", "-no-herm",
"--no-hermitian", "Use convention for Hermitian operators.");
args.AddOption(&visualization, "-vis", "--visualization", "-no-vis",
"--no-visualization",
"Enable or disable GLVis visualization.");
args.Parse();
// 2. Setup the mesh
if (!args.Good())
{
args.PrintUsage(cout);
return 1;
}
args.PrintOptions(cout);
switch (prob_kind)
{
case 0:
{
mesh_file = "meshes/waveguide-bend.mesh";
L = -2.;
ylim = -3;
}
break;
case 1:
{
mesh_file = "meshes/waveguide-bend2.mesh";
L = -5.;
ylim = 0.0;
}
break;
case 2: mesh_file = "meshes/toroid3_4_2.mesh"; break;
// case 3: mesh_file = "toroid-hex-o3-s0_r.mesh"; break;
// case 3: mesh_file = "../../data/square-disc.mesh"; break;
case 3: mesh_file = "meshes/annulus-quad-o3.mesh"; break;
// case 3: mesh_file = "cylinder.mesh"; break;
default:
MFEM_ABORT("Not a valid problem choice ");
break;
}
Mesh * mesh = new Mesh(mesh_file, 1, 1);
dim = mesh->Dimension();
mesh->RemoveInternalBoundaries();
mesh->UniformRefinement();
mesh->UniformRefinement();
FiniteElementCollection *fec = new ND_FECollection(order, dim);
FiniteElementSpace *fespace = new FiniteElementSpace(mesh, fec);
double ovlerlap = 7.5; // in degrees;
// double ovlerlap = 0.5; // in degrees;
int nrmeshes = 9;
Array<Array<int> *> ElemMaps, DofMaps0, DofMaps1, OvlpMaps0, OvlpMaps1;
Array<FiniteElementSpace *> fespaces;
PartitionFE(fespace,nrmeshes,ovlerlap,fespaces,
ElemMaps,
DofMaps0, DofMaps1,
OvlpMaps0, OvlpMaps1);
// Test local to global dof Maps
// for (int i = 0; i<nrmeshes; i++)
// {
// DofMapTests(*fespaces[i],*fespace,*DofMaps0[i], *DofMaps1[i]);
// // DofMapTests(*fespace,*fespaces[i], *DofMaps1[i], *DofMaps0[i]);
// cin.get();
// }
for (int i = 0; i<nrmeshes-1; i++)
{
// DofMapTests(*fespaces[i],*fespaces[i+1],*OvlpMaps0[i], *OvlpMaps1[i]);
DofMapTests(*fespaces[i+1],*fespaces[i],*OvlpMaps1[i], *OvlpMaps0[i]);
cin.get();
}
// if (visualization)
// {
// // GLVis server to visualize to
// char vishost[] = "localhost";
// int visport = 19916;
// socketstream mesh0_sock(vishost, visport);
// mesh0_sock.precision(8);
// mesh0_sock << "mesh\n" << *mesh << flush;
// socketstream mesh1_sock(vishost, visport);
// mesh1_sock.precision(8);
// mesh1_sock << "mesh\n" << *mesh1 << flush;
// socketstream mesh2_sock(vishost, visport);
// mesh2_sock.precision(8);
// mesh2_sock << "mesh\n" << *mesh2 << flush;
// }
// mesh = mesh1;
return 0;
// Angular frequency
omega = 2.0 * M_PI * freq;
ToroidPML tpml(mesh);
Vector zlim, rlim, alim;
tpml.GetDomainBdrs(zlim,rlim,alim);
Vector zpml_thickness(2); zpml_thickness = 0.0;
Vector rpml_thickness(2); rpml_thickness = 0.0;
Vector apml_thickness(2); apml_thickness = 0.0;
bool zstretch = false;
bool astretch = false;
bool rstretch = false;
switch (prob_kind)
{
case 0: break;
case 1: break;
case 2:
{
apml_thickness[1] = 45.0;
astretch = true;
}
break;// degrees
case 3:
{
rpml_thickness[1] = 0.3;
rstretch = true;
}
break;
default: break;
}
tpml.SetPmlAxes(zstretch,rstretch,astretch);
tpml.SetPmlWidth(zpml_thickness,rpml_thickness,apml_thickness);
tpml.SetOmega(omega);
ComplexOperator::Convention conv =
herm_conv ? ComplexOperator::HERMITIAN : ComplexOperator::BLOCK_SYMMETRIC;
ComplexGridFunction x(fespace);
x = 0.0;
VectorFunctionCoefficient E_Re(dim, E_bdr_data_Re);
VectorFunctionCoefficient E_Im(dim, E_bdr_data_Im);
ConvergenceStudy rates_r;
ConvergenceStudy rates_i;
for (int iter = 0; iter<ref_levels; iter++)
{
int size = fespace->GetTrueVSize();
cout << "Number of finite element unknowns: " << size << endl;
tpml.SetAttributes(mesh);
Array<int> ess_tdof_list;
Array<int> ess_bdr;
if (mesh->bdr_attributes.Size())
{
ess_bdr.SetSize(mesh->bdr_attributes.Max());
ess_bdr = 1;
}
fespace->GetEssentialTrueDofs(ess_bdr, ess_tdof_list);
VectorFunctionCoefficient f(dim, source);
ComplexLinearForm b(fespace, conv);
// b.AddDomainIntegrator(NULL, new VectorFEDomainLFIntegrator(f));
b.Vector::operator=(0.0);
b.Assemble();
x.ProjectBdrCoefficientTangent(E_Re, E_Im, ess_bdr);
Array<int> attr;
Array<int> attrPML;
if (mesh->attributes.Size())
{
attr.SetSize(mesh->attributes.Max());
attrPML.SetSize(mesh->attributes.Max());
attr = 0; attr[0] = 1;
attrPML = 0;
if (mesh->attributes.Max() > 1)
{
attrPML[1] = 1;
}
}
ConstantCoefficient muinv(1.0/mu);
ConstantCoefficient omeg(-pow(omega, 2) * epsilon);
RestrictedCoefficient restr_muinv(muinv,attr);
RestrictedCoefficient restr_omeg(omeg,attr);
// Integrators inside the computational domain (excluding the PML region)
SesquilinearForm a(fespace, conv);
a.AddDomainIntegrator(new CurlCurlIntegrator(restr_muinv),NULL);
a.AddDomainIntegrator(new VectorFEMassIntegrator(restr_omeg),NULL);
int cdim = (dim == 2) ? 1 : dim;
PMLMatrixCoefficient pml_c1_Re(cdim,detJ_inv_JT_J_Re, &tpml);
PMLMatrixCoefficient pml_c1_Im(cdim,detJ_inv_JT_J_Im, &tpml);
ScalarMatrixProductCoefficient c1_Re(muinv,pml_c1_Re);
ScalarMatrixProductCoefficient c1_Im(muinv,pml_c1_Im);
MatrixRestrictedCoefficient restr_c1_Re(c1_Re,attrPML);
MatrixRestrictedCoefficient restr_c1_Im(c1_Im,attrPML);
PMLMatrixCoefficient pml_c2_Re(dim, detJ_JT_J_inv_Re,&tpml);
PMLMatrixCoefficient pml_c2_Im(dim, detJ_JT_J_inv_Im,&tpml);
ScalarMatrixProductCoefficient c2_Re(omeg,pml_c2_Re);
ScalarMatrixProductCoefficient c2_Im(omeg,pml_c2_Im);
MatrixRestrictedCoefficient restr_c2_Re(c2_Re,attrPML);
MatrixRestrictedCoefficient restr_c2_Im(c2_Im,attrPML);
// Integrators inside the PML region
a.AddDomainIntegrator(new CurlCurlIntegrator(restr_c1_Re),
new CurlCurlIntegrator(restr_c1_Im));
a.AddDomainIntegrator(new VectorFEMassIntegrator(restr_c2_Re),
new VectorFEMassIntegrator(restr_c2_Im));
a.Assemble(0);
OperatorPtr A;
Vector B, X;
a.FormLinearSystem(ess_tdof_list, x, b, A, X, B);
SparseMatrix * SpMat = (*A.As<ComplexSparseMatrix>()).GetSystemMatrix();
HYPRE_Int global_size = SpMat->Height();
HYPRE_Int row_starts[2]; row_starts[0] = 0; row_starts[1] = global_size;
HypreParMatrix * HypreMat = new HypreParMatrix(MPI_COMM_SELF,global_size,row_starts,SpMat);
{
MUMPSSolver mumps;
mumps.SetOperator(*HypreMat);
mumps.Mult(B,X);
}
a.RecoverFEMSolution(X, b, x);
if (prob_kind == 3)
{
rates_r.SetElementList(tpml.GetMarkedPMLElements());
rates_i.SetElementList(tpml.GetMarkedPMLElements());
VectorFunctionCoefficient E_ex_Re(dim, E_exact_Re);
VectorFunctionCoefficient E_ex_Im(dim, E_exact_Im);
VectorFunctionCoefficient E_Curl_Re(cdim, E_exact_Curl_Re);
VectorFunctionCoefficient E_Curl_Im(cdim, E_exact_Curl_Im);
rates_r.AddHcurlGridFunction(&x.real(),&E_ex_Re,&E_Curl_Re);
rates_i.AddHcurlGridFunction(&x.imag(),&E_ex_Im,&E_Curl_Im);
}
if (iter == ref_levels) break;
mesh->UniformRefinement();
fespace->Update();
x.Update();
}
if (prob_kind == 3)
{
rates_r.Print(false);
rates_i.Print(false);
}
// 16. Send the solution by socket to a GLVis server.
if (visualization)
{
// Define visualization keys for GLVis (see GLVis documentation)
string keys;
keys = (dim == 3) ? "keys macF\n" : keys = "keys amrRljcUUuu\n";
char vishost[] = "localhost";
int visport = 19916;
socketstream sol_sock_re(vishost, visport);
sol_sock_re.precision(8);
sol_sock_re << "solution\n"
<< *mesh << x.real() << keys
<< "window_title 'Solution real part'" << flush;
socketstream sol_sock_im(vishost, visport);
sol_sock_im.precision(8);
sol_sock_im << "solution\n"
<< *mesh << x.imag() << keys
<< "window_title 'Solution imag part'" << flush;
GridFunction x_t(fespace);
x_t = x.real();
socketstream sol_sock(vishost, visport);
sol_sock.precision(8);
sol_sock << "solution\n"
<< *mesh << x_t << keys << "autoscale off\n"
<< "window_title 'Harmonic Solution (t = 0.0 T)'"
<< "pause\n" << flush;
cout << "GLVis visualization paused."
<< " Press space (in the GLVis window) to resume it.\n";
int num_frames = 16;
int i = 0;
while (sol_sock)
{
double t = (double)(i % num_frames) / num_frames;
ostringstream oss;
oss << "Harmonic Solution (t = " << t << " T)";
add(cos(2.0 * M_PI * t), x.real(),
sin(2.0 * M_PI * t), x.imag(), x_t);
sol_sock << "solution\n"
<< *mesh << x_t
<< "window_title '" << oss.str() << "'" << flush;
i++;
}
}
// 17. Free the used memory.
// delete pml;
delete fespace;
delete fec;
delete mesh;
MPI_Finalize();
return 0;
}
void source(const Vector &x, Vector &f)
{
Vector center(dim);
double r = 0.0;
center = 0.5;
center(2) = 0.15;
for (int i = 0; i < dim; ++i)
{
r += pow(x[i] - center[i], 2.);
}
double n = 5.0 * omega * sqrt(epsilon * mu) / M_PI;
double coeff = pow(n, 2) / M_PI;
double alpha = -pow(n, 2) * r;
f = 0.0;
f[0] = coeff * exp(alpha);
}
void E_bdr_data_Re(const Vector &x, Vector &E)
{
E = 0.0;
if (prob_kind == 2)
{
if (abs(x(1))<1e-12 && x(0)>0)
{
vector<complex<double>> Eval(E.Size());
maxwell_solution(x, Eval);
for (int i = 0; i < dim; ++i)
{
E[i] = Eval[i].real();
}
}
}
else if (prob_kind == 3)
{
double r = sqrt(x(0)*x(0) + x(1)*x(1));
// check if in pml
// if (abs(r-1.0)<1e-10)
// if (r < 0.3) // not in pml
// if (x(0) <0.8 && x(0)>0.2 && x(1) < 0.8 && x(1) >0.2 )
// if (x(0) <0.3 && x(0)>-0.3 && x(1) < 0.3 && x(1) >-0.3 )
if (r < 0.3 )
{
vector<complex<double>> Eval(E.Size());
maxwell_solution(x, Eval);
for (int i = 0; i < dim; ++i)
{
E[i] = Eval[i].real();
}
}
}
else
{
if (x(1) == ylim)
{
vector<complex<double>> Eval(E.Size());
maxwell_solution(x, Eval);
for (int i = 0; i < dim; ++i)
{
E[i] = Eval[i].real();
}
}
}
}
// Define bdr_data solution
void E_bdr_data_Im(const Vector &x, Vector &E)
{
E = 0.0;
if (prob_kind == 2)
{
if (abs(x(1))<1e-12 && x(0)>0)
{
vector<complex<double>> Eval(E.Size());
maxwell_solution(x, Eval);
for (int i = 0; i < dim; ++i)
{
E[i] = Eval[i].imag();
}
}
}
else if (prob_kind == 3)
{
double r = sqrt(x(0)*x(0) + x(1)*x(1));
// if (abs(r-1.0)<1e-10)
// if (r < 0.3) // not in pml
// if (x(0) < 0.5) // not in pml
// if (x(0) <0.8 && x(0)>0.2 && x(1) < 0.8 && x(1) >0.2 )
// if (x(0) <0.3 && x(0)>-0.3 && x(1) < 0.3 && x(1) >-0.3 )
if (r < 0.3 )
{
vector<complex<double>> Eval(E.Size());
maxwell_solution(x, Eval);
for (int i = 0; i < dim; ++i)
{
E[i] = Eval[i].imag();
}
}
}
else
{
if (x(1) == ylim)
{
vector<complex<double>> Eval(E.Size());
maxwell_solution(x, Eval);
for (int i = 0; i < dim; ++i)
{
E[i] = Eval[i].imag();
}
}
}
}
void E_exact_Re(const Vector &x, Vector &E)
{
E = 0.0;
vector<complex<double>> Eval(E.Size());
maxwell_solution(x, Eval);
for (int i = 0; i < dim; ++i)
{
E[i] = Eval[i].real();
}
}
void E_exact_Im(const Vector &x, Vector &E)
{
E = 0.0;
vector<complex<double>> Eval(E.Size());
maxwell_solution(x, Eval);
for (int i = 0; i < dim; ++i)
{
E[i] = Eval[i].imag();
}
}
void maxwell_solution(const Vector &x, vector<complex<double>> &E)
{
complex<double> zi = complex<double>(0., 1.);
if (prob_kind == 2)
{ // for a straight waveguide
double k = omega * sqrt(epsilon * mu);
// T_10 mode
double k10 = sqrt(k * k - M_PI * M_PI);
E[2] = -zi * k / M_PI * sin(M_PI*(x(0)))*exp(zi * k10 * x(1));
}
else
{
double k = omega * sqrt(epsilon * mu);
Vector shift(dim);
shift = 0.0;
double x0 = x(0) + shift(0);
double x1 = x(1) + shift(1);
double r = sqrt(x0 * x0 + x1 * x1);
double beta = k * r;
// Bessel functions
complex<double> H0, H0_r, H0_rr;
complex<double> H1;
complex<double> H2;
H0 = jn(0,beta) + zi * yn(0,beta);
H1 = jn(1,beta) + zi * yn(1,beta);
H2 = jn(2,beta) + zi * yn(2,beta);
// H3 = jn(3,beta) + zi * yn(3,beta);
H0_r = - k * H1;
H0_rr = - k * k * (1.0/beta * H1 - H2);
// First derivatives
double r_x = x0 / r;
double r_y = x1 / r;
double r_xy = -(r_x / r) * r_y;
double r_xx = (1.0 / r) * (1.0 - r_x * r_x);
complex<double> val, val_xx, val_xy;
val = 0.25 * zi * H0;
val_xx = 0.25 * zi * (r_xx * H0_r + r_x * r_x * H0_rr);
val_xy = 0.25 * zi * (r_xy * H0_r + r_x * r_y * H0_rr);
E[0] = zi / k * (k * k * val + val_xx);
E[1] = zi / k * val_xy;
}
}
void E_exact_Curl_Re(const Vector &x, Vector &E)
{
E = 0.0;
vector<complex<double>> Eval(E.Size());
maxwell_curl(x, Eval);
for (int i = 0; i < E.Size(); ++i)
{
E[i] = Eval[i].real();
}
}
void E_exact_Curl_Im(const Vector &x, Vector &E)
{
E = 0.0;
vector<complex<double>> Eval(E.Size());
maxwell_curl(x, Eval);
for (int i = 0; i < E.Size(); ++i)
{
E[i] = Eval[i].imag();
}
}
void maxwell_curl(const Vector &x, vector<complex<double>> &curlE)
{
complex<double> zi = complex<double>(0., 1.);
double k = omega * sqrt(epsilon * mu);
Vector shift(dim);
shift = 0.0;
double x0 = x(0) + shift(0);
double x1 = x(1) + shift(1);
double r = sqrt(x0 * x0 + x1 * x1);
double beta = k * r;
// Bessel functions
complex<double> H0_r;
complex<double> H1;
// complex<double> H2, H2_r;
// complex<double> H3;
// H0 = jn(0,beta) + zi * yn(0,beta);
H1 = jn(1,beta) + zi * yn(1,beta);
// H2 = jn(2,beta) + zi * yn(2,beta);
// H3 = jn(3,beta) + zi * yn(3,beta);
H0_r = - k * H1;
// H1_r = k * (1.0/beta * H1 - H2);
// H2_r = - k * (2.0/beta * H2 - H3);
// H0_rr = - k * H1_r;
// H1_rr = k * k * (- 2.0 /(beta * beta) * H1 + 1.0/beta * H1_r - H2_r);
// H0_rrr = - k * H1_rr;
// First derivatives
// double r_x = x0 / r;
double r_y = x1 / r;
// double r_xy = -(r_x / r) * r_y;
// double r_yx = r_xy;
// double r_yy = (1.0 / r) * (1.0 - r_y * r_y);
// double r_xx = (1.0 / r) * (1.0 - r_x * r_x);
// double r_xxx = r_x * (r_x * r_x - 2. * r_xx * r - 1.0) /(r * r);
// double r_xyy = (r_x * r_y * r_y - r * r_xy * r_y - r * r_x * r_yy)/(r * r);
complex<double> val_y;
// val = 0.25 * zi * H0;
val_y = 0.25 * zi * H0_r * r_y;
// val_xx = 0.25 * zi * (r_xx * H0_r + r_x * r_x * H0_rr);
// val_xy = 0.25 * zi * (r_xy * H0_r + r_x * r_y * H0_rr);
curlE[0] = zi / k * (- k * k * val_y);
}
void detJ_JT_J_inv_Re(const Vector &x, ToroidPML * pml, Vector &D)
{
// vector<complex<double>> dxs(dim);
// complex<double> det(1.0, 0.0);
// pml->StretchFunction(x, dxs,omega);
ComplexDenseMatrix J(dim);
pml->StretchFunction(x,J,omega);
complex<double> det = J.Det();
// for (int i = 0; i < dim; ++i)
// {
// det *= dxs[i];
// }
for (int i = 0; i < dim; ++i)
{
D(i) = (det / pow(J(i,i), 2)).real();
}
}
void detJ_JT_J_inv_Im(const Vector &x, ToroidPML * pml, Vector &D)
{
// vector<complex<double>> dxs(dim);
// complex<double> det = 1.0;
// pml->StretchFunction(x, dxs,omega);
ComplexDenseMatrix J(dim);
pml->StretchFunction(x,J,omega);
complex<double> det = J.Det();
// for (int i = 0; i < dim; ++i)
// {
// det *= dxs[i];
// }
for (int i = 0; i < dim; ++i)
{
D(i) = (det / pow(J(i,i), 2)).imag();
}
}
void detJ_inv_JT_J_Re(const Vector &x, ToroidPML * pml, Vector &D)
{
// vector<complex<double>> dxs(dim);
// complex<double> det(1.0, 0.0);
// pml->StretchFunction(x, dxs,omega);
ComplexDenseMatrix J(dim);
pml->StretchFunction(x,J,omega);
complex<double> det = J.Det();
// for (int i = 0; i < dim; ++i)
// {
// det *= dxs[i];
// }
// in the 2D case the coefficient is scalar 1/det(J)
if (dim == 2)
{
D = (1.0 / det).real();
}
else
{
for (int i = 0; i < dim; ++i)
{
D(i) = (pow(J(i,i), 2) / det).real();
}
}
}
void detJ_inv_JT_J_Im(const Vector &x, ToroidPML * pml, Vector &D)
{
// vector<complex<double>> dxs(dim);
// complex<double> det = 1.0;
// pml->StretchFunction(x, dxs,omega);
ComplexDenseMatrix J(dim);
pml->StretchFunction(x,J,omega);
complex<double> det = J.Det();
// for (int i = 0; i < dim; ++i)
// {
// det *= dxs[i];
// }
if (dim == 2)
{
D = (1.0 / det).imag();
}
else
{
for (int i = 0; i < dim; ++i)
{
D(i) = (pow(J(i,i), 2) / det).imag();
}
}
}
//-----------------------------------------------------------------
void detJ_JT_J_inv_Re(const Vector &x, ToroidPML * pml, DenseMatrix & M)
{
ComplexDenseMatrix J(dim);
pml->StretchFunction(x,J,omega);
complex<double> det = J.Det();
ComplexDenseMatrix JtJ(dim);
MultAtB(J,J,JtJ);
ComplexDenseMatrixInverse InvJtJ(JtJ);
InvJtJ *=det;
InvJtJ.GetReal(M);
}
void detJ_JT_J_inv_Im(const Vector &x, ToroidPML * pml, DenseMatrix & M)
{
ComplexDenseMatrix J(dim);
pml->StretchFunction(x,J,omega);
complex<double> det = J.Det();
ComplexDenseMatrix JtJ(dim);
MultAtB(J,J,JtJ);
ComplexDenseMatrixInverse InvJtJ(JtJ);
InvJtJ *=det;
InvJtJ.GetImag(M);
}
void detJ_inv_JT_J_Re(const Vector &x, ToroidPML * pml, DenseMatrix & M)
{
ComplexDenseMatrix J(dim);
pml->StretchFunction(x,J,omega);
complex<double> det = J.Det();
if (dim == 2)
{
M = (1.0 / det).real();
}
else
{
ComplexDenseMatrix JtJ(dim);
MultAtB(J,J,JtJ);
JtJ *= 1.0/det;
JtJ.GetReal(M);
}
}
void detJ_inv_JT_J_Im(const Vector &x, ToroidPML * pml, DenseMatrix & M)
{
ComplexDenseMatrix J(dim);
pml->StretchFunction(x,J,omega);
complex<double> det = J.Det();
if (dim == 2)
{
M = (1.0 / det).imag();
}
else
{
ComplexDenseMatrix JtJ(dim);
MultAtB(J,J,JtJ);
JtJ *= 1.0/det;
JtJ.GetImag(M);
}
}