/*b_prime copies the arrays pointed to by *x and *y to std::vectors iks, yps of type
Eigen::Vector3cd, respectively
After this the Multiplication of the Laplace takes place. Result is stored
in yps, which then is written to the array at *y again. */
static void b_prime(int nx,const PetscScalar *x,PetscScalar *y) {
const int V3 = pars -> get_int("V3");
const double LAM_L = pars -> get_float("lambda_l");
//define vectors
std::vector<Eigen::Vector3cd> iks(V3, Eigen::Vector3cd::Zero());
std::vector<Eigen::Vector3cd> yps(V3, Eigen::Vector3cd::Zero());
#pragma omp parallel
{
Eigen::Vector3cd tmp_x, tmp_y;
//copy read in vectors x and y to vectors of 3cd vectors
#pragma omp for
for(unsigned i = 0; i < V3; ++i) {
tmp_x << x[3*i], x[3*i+1], x[3*i+2];
tmp_y << y[3*i], y[3*i+1], y[3*i+2];
iks[i] = tmp_x;
yps[i] = tmp_y;
}
//constants used often: c := -2/lambda_L
//a := -1.
register const double c = -2./(LAM_L);
register const double a = -1.;
#pragma omp for
for ( int k = 0; k < V3; ++k) {
yps[k] = c * ( (ts -> get_gauge(k,0)) * iks.at( lookup -> get_up(k,0) )
+ ( (ts -> get_gauge( lookup -> get_dn(k,0), 0)).adjoint())
* iks.at( lookup -> get_dn(k,0) )
+ (ts -> get_gauge(k,1)) * iks.at( lookup -> get_up(k,1) )
+ (ts -> get_gauge( lookup -> get_dn(k,1),1).adjoint())
* iks.at( lookup -> get_dn(k,1) )
+ ts -> get_gauge(k,2) * iks.at( lookup -> get_up(k,2) )
+ (ts -> get_gauge( lookup -> get_dn(k, 2), 2).adjoint())
* iks.at( lookup -> get_dn(k,2) )
- 6.0 * (iks.at(k))) + a * (iks.at(k));
}
//copy vectors back to Petsc-arrays
#pragma omp for
for(unsigned j = 0; j < V3; ++j) {
y[3*j] = (yps[j])(0);
y[3*j+1] = (yps[j])(1);
y[3*j+2] = (yps[j])(2);
}
}
}
/*tv copies the arrays pointed to by *x and *y to std::vectors iks, yps of type
Eigen::Vector3cd, respectively
After this the Multiplication of the Laplace takes place. Result is stored
in yps, which then is written to the array at *y again. */
static void tv2(int nx,const PetscScalar *x,PetscScalar *y) {
const int V3 = pars -> get_int("V3");
const double LAM_L = pars -> get_float("lambda_l");
const double LAM_C = pars -> get_float("lambda_c");
//define vectors
std::vector<Eigen::Vector3cd> iks(V3, Eigen::Vector3cd::Zero());
std::vector<Eigen::Vector3cd> yps(V3, Eigen::Vector3cd::Zero());
//iks.clear();
//yps.clear();
//Eigen::Vector3cd tmp_x, tmp_y;
omp_set_num_threads(pars -> get_int("OMP_THRDS"));
//std::cout << "Calculating with " << omp_get_num_threads() << " threads" << std::endl;
#pragma omp parallel
{
Eigen::Vector3cd tmp_x, tmp_y;
//copy read in vectors x and y to vectors of 3cd vectors
#pragma omp for
for(unsigned i = 0; i < V3; ++i) {
tmp_x << x[3*i], x[3*i+1], x[3*i+2];
tmp_y << y[3*i], y[3*i+1], y[3*i+2];
iks[i] = tmp_x;
yps[i] = tmp_y;
}
// for (unsigned i = 0; (i+3) <= 3*V3 ; i += 3){
// //Eigen::Vector3cd tmp_x;
// //Eigen::Vector3cd tmp_y;
// tmp_x << x[i], x[i+1], x[i+2];
// tmp_y << y[i], y[i+1], y[i+2];
// iks.push_back(tmp_x);
// yps.push_back(tmp_y);
// }
//constants used often: c := 2/ (lambda_L - lambda_C)
//a := 1+2*lambda_C / (lambda_L - lambda_C)
register const double c = 2./(LAM_L - LAM_C);
register const double a = 1 + c * LAM_C;
//these disable chebyshev acceleration:
//register const double c = 1;
//register const double a = 0;
//Laplace times vector in terms of Eigen::3cd
//for ( int k = 0; k < V3; ++k ) yps.at(k) = Eigen::Vector3cd::Zero();
#pragma omp for
// {
for ( int k = 0; k < V3; ++k) {
/*if (k == 0) {
yps.at(k) = -(U[k][0]*iks.at( up_3d[k][0] ) + (U[ down_3d[k][0] ][0].adjoint())
* iks.at( down_3d[k][0] ) + U[k][1] * iks.at( up_3d[k][1] )
+ (U[ down_3d[k][1] ][1].adjoint()) * iks.at( down_3d[k][1] )
+ U[k][2] * iks.at( up_3d[k][2] )
+ (U[ down_3d[k][2] ][2].adjoint()) * iks.at( down_3d[k][2] )
- 200.0 * (iks.at(k)));
}*/
//else {
yps[k] = c * ( (ts -> get_gauge(k,0)) * iks.at( lookup -> get_up(k,0) )
+ ( (ts -> get_gauge( lookup -> get_dn(k,0), 0)).adjoint())
* iks.at( lookup -> get_dn(k,0) )
+ (ts -> get_gauge(k,1)) * iks.at( lookup -> get_up(k,1) )
+ (ts -> get_gauge( lookup -> get_dn(k,1),1).adjoint())
* iks.at( lookup -> get_dn(k,1) )
+ ts -> get_gauge(k,2) * iks.at( lookup -> get_up(k,2) )
+ (ts -> get_gauge( lookup -> get_dn(k, 2), 2).adjoint())
* iks.at( lookup -> get_dn(k,2) )
- 6.0 * (iks.at(k))) + a * (iks.at(k));
// yps.at(k) = c * (eigen_timeslice[k][0]*iks.at( up_3d[k][0] ) + (eigen_timeslice[ down_3d[k][0] ][0].adjoint())
// * iks.at( down_3d[k][0] ) + eigen_timeslice[k][1] * iks.at( up_3d[k][1] )
// + (eigen_timeslice[ down_3d[k][1] ][1].adjoint()) * iks.at( down_3d[k][1] )
// + eigen_timeslice[k][2] * iks.at( up_3d[k][2] )
// + (eigen_timeslice[ down_3d[k][2] ][2].adjoint()) * iks.at( down_3d[k][2] )
// - 6.0 * (iks.at(k))) + a * (iks.at(k));
// std::cout << U[k][0] << " " << down_3d[k][0] << " " << up_3d[k][1] << " " << down_3d[k][1] << " " << up_3d[k][2] << " " << down_3d[k][2] << std::endl;
//}
}
// }
//copy vectors back to Petsc-arrays
#pragma omp for
for(unsigned j = 0; j < V3; ++j) {
y[3*j] = (yps[j])(0);
y[3*j+1] = (yps[j])(1);
y[3*j+2] = (yps[j])(2);
}
}
// int k = 0;
// for (int j = 0; j < V3; j++) {
// y[k] = (yps.at(j))(0);
// y[k+1] = (yps.at(j))(1);
// y[k+2] = (yps.at(j))(2);
// k += 3;
// }
}
