void Solution::set_fe_solution(Space* space, PrecalcShapeset* pss, scalar* vec, double dir)
{
int i, j, k, l, o;
// some sanity checks
if (!space->is_up_to_date())
error("'space' is not up to date.");
if (space->get_shapeset() != pss->get_shapeset())
error("'space' and 'pss' must have the same shapesets.");
space_type = space->get_type();
free();
num_components = pss->get_num_components();
type = SLN;
num_dofs = space->get_num_dofs();
// copy the mesh TODO: share meshes between solutions
mesh = new Mesh;
mesh->copy(space->get_mesh());
own_mesh = true;
// allocate the coefficient arrays
num_elems = mesh->get_max_element_id();
elem_orders = new int[num_elems];
memset(elem_orders, 0, sizeof(int) * num_elems);
for (l = 0; l < num_components; l++) {
elem_coefs[l] = new int[num_elems];
memset(elem_coefs[l], 0, sizeof(int) * num_elems);
}
// obtain element orders, allocate mono_coefs
Element* e;
num_coefs = 0;
for_all_active_elements(e, mesh)
{
mode = e->get_mode();
o = space->get_element_order(e->id);
o = std::max(get_h_order(o), get_v_order(o));
for (k = 0; k < e->nvert; k++) {
int eo = space->get_edge_order(e, k);
if (eo > o) o = eo;
} // FIXME: eo tam jeste porad necemu vadi...
// Hcurl: actual order of functions is one higher than element order
if ((space->get_shapeset())->get_num_components() == 2) o++;
num_coefs += mode ? sqr(o+1) : (o+1)*(o+2)/2;
elem_orders[e->id] = o;
}
void HcurlOrthoHP::get_optimal_refinement(Element* e, int order, Solution* rsln, int& split, int p[4],
bool h_only, bool iso_only, int max_order)
{
int i, j, k, n = 0;
const int maxcand = 300;
order = std::max(get_h_order(order), get_v_order(order));
bool tri = e->is_triangle();
// calculate maximal order of elements
// linear elements = 6
// curvilinear elements = depends on iro_cache (how curved they are)
if (max_order == -1)
max_order = std::min(6, (20 - e->iro_cache)/2 - 1); // default
else
max_order = std::min(max_order, (20 - e->iro_cache)/2 - 1); // user specified
struct Cand
{
double error;
int dofs, p[4];
int split;
};
Cand cand[maxcand];
#define make_p_cand(q) { \
assert(n < maxcand); \
cand[n].split = -1; \
cand[n].p[1] = cand[n].p[2] = cand[n].p[3] = 0; \
cand[n++].p[0] = (q); }
#define make_hp_cand(q0, q1, q2, q3) { \
assert(n < maxcand); \
cand[n].split = 0; \
cand[n].p[0] = (q0); \
cand[n].p[1] = (q1); \
cand[n].p[2] = (q2); \
cand[n++].p[3] = (q3); }
#define make_ani_cand(q0, q1, iso) { \
assert(n < maxcand); \
cand[n].split = iso; \
cand[n].p[2] = cand[n].p[3] = 0; \
cand[n].p[0] = (q0); \
cand[n++].p[1] = (q1); }\
int first_hp;
if (h_only)
{
make_p_cand(order);
make_hp_cand(order, order, order, order);
if ((!tri) && (!iso_only))
{
make_ani_cand(order, order, 1);
make_ani_cand(order, order, 2);
}
}
else {
// prepare p-candidates
int p0, p1 = std::min(max_order, order+2);
for (p0 = order; p0 <= p1; p0++)
make_p_cand(p0);
// prepare hp-candidates
first_hp = n;
p0 = std::max(1, (order-1)/ 2);
p1 = std::min(p0 + 2, order);
int q0, q1, q2, q3;
for (q0 = p0; q0 <= p1; q0++)
for (q1 = p0; q1 <= p1; q1++)
for (q2 = p0; q2 <= p1; q2++)
for (q3 = p0; q3 <= p1; q3++)
make_hp_cand(q0,q1,q2,q3);
// anisotropic candidates
// only for quadrilaterals
// too distorted (curved) elements cannot have aniso refinement (produces even worse elements)
if ((!tri) && (e->iro_cache < 8) && !iso_only) {
p0 = std::max(1, 2 * (order) / 3);
int p_max = std::min(max_order, order+1);
p1 = std::min(p0 + 3, p_max);
for (q0 = p0; q0 <= p1; q0++)
for (q1 = p0; q1 <= p1; q1++) {
if ((q0 < order+1) || (q1 < order+1)) {
make_ani_cand(q0, q1, 1);
make_ani_cand(q0, q1, 2);
}
}
}
}
// calculate (partial) projection errors
double herr[8][11], perr[11];
calc_projection_errors(e, order, rsln, herr, perr);
// evaluate candidates (sum partial projection errors, calculate dofs)
double avg = 0.0;
double dev = 0.0;
double dev1 = 0.0;
for (i = k = 0; i < n; i++)
{
Cand* c = cand + i;
if (c->split == 0) // isotropic split
{
c->error = 0.0;
c->dofs = 0;
for (j = 0; j < 4; j++)
{
c->error += herr[j][c->p[j]];// * 0.25;
if (tri)
{
if (j < 3) {
c->dofs += sqr(c->p[j] + 1); // num of bubble and bnd edges
c->dofs += std::min(c->p[j], c->p[3]) + 1; // internal edge dofs
}
else
c->dofs += 3 * (c->p[j] - 1) + (c->p[j] - 1) * (c->p[j] - 2);
}
else
{
c->dofs += 2 * sqr(c->p[j] + 1); // number of bubble and boundary edges
c->dofs += std::min(c->p[j], c->p[j>0 ? j-1 : 3]) + 1; // number of internal edges in element
}
}
}
else if ((c->split == 1) || (c->split == 2)) // aniso splits
{
c->error = 0.0;
c->dofs = 0;
for (j = 0; j < 2 ; j++) {
c->error += herr[ (c->split == 1) ? j+4 : j+6 ][c->p[j]];// * 0.5;
c->dofs += 3 * (c->p[j] + 1) + 2 * c->p[j] * (c->p[j] + 1);
}
c->dofs += std::min(c->p[0], c->p[1]) + 1;
}
else // p-candidate
{
c->error = perr[c->p[0]];
if (tri)
c->dofs = (c->p[0] + 1) * (c->p[0] + 2);
else
c->dofs = 2 * (c->p[0] + 1) * (c->p[0] + 2); // number of bubble and boundary edges
}
c->error = sqrt(c->error);
//verbose("Cand #%d: Orders %d %d %d %d, Error %g, Dofs %d", i, c->p[0],c->p[1],c->p[2],c->p[3],c->error, c->dofs);
if (!i || c->error <= cand[0].error)
{
avg += log10(c->error);
dev += sqr(log10(c->error));
k++;
}
}
avg /= k; // mean
dev /= k; // second moment
dev = sqrt(dev - sqr(avg)); // deviation is square root of variance
// select an above-average candidate with the steepest error decrease
int imax = 0;
double score, maxscore = 0.0;
for (i = 1; i < n; i++)
{
if ((log10(cand[i].error) < avg + dev) && (cand[i].dofs > cand[0].dofs))
{
score = (log10(cand[0].error) - log10(cand[i].error)) / (cand[i].dofs - cand[0].dofs);
if (score > maxscore) { maxscore = score; imax = i; }
}
}
if (imax == 0) imax = first_hp;
// return result
split = cand[imax].split;
memcpy(p, cand[imax].p, 4*sizeof(int));
}
void L2OrthoHP::calc_ortho_base()
{
int i, j, k, l, m, ii, nb, np, o, r;
int n, idx[121];
H1Shapeset shapeset;
// allocate the orthonormal base tables - these are simply the values of the
// orthonormal functions in integration points; we store the basic functions
// plus four son cut-outs of them (i.e. 5 times)
for (i = 0; i < 9; i++)
{
if ((i < 4) || (i >= 8))
obase[0][i] = new_matrix<double3>(66, 79); // tri
obase[1][i] = new_matrix<double3>(121, 121); // quad
}
// repeat for triangles and quads
for (m = 0; m <= 1; m++)
{
shapeset.set_mode(m);
// obtain a list of all shape functions up to the order 10, from lowest to highest order
n = 0;
int nv = m ? 4 : 3;
int num_sons = m ? 8 : 4;
for (i = 0; i < nv; i++)
idx[n++] = shapeset.get_vertex_index(i);
basecnt[m][0] = 0;
basecnt[m][1] = n;
for (i = 2; i <= 10; i++)
{
for (j = 0; j < nv; j++)
idx[n++] = shapeset.get_edge_index(j, 0, i);
ii = m ? make_quad_order(i, i) : i;
nb = shapeset.get_num_bubbles(ii);
int* bub = shapeset.get_bubble_indices(ii);
for (j = 0; j < nb; j++)
{
o = shapeset.get_order(bub[j]);
if (get_h_order(o) == i || get_v_order(o) == i)
idx[n++] = bub[j];
}
basecnt[m][i] = n;
}
// obtain their values for integration rule 20
g_quad_2d_std.set_mode(m);
np = g_quad_2d_std.get_num_points(20);
double3* pt = g_quad_2d_std.get_points(20);
for (i = 0; i < n; i++)
for (j = 0; j < np; j++)
for (k = 0; k < 3; k++)
obase[m][8][i][j][k] = shapeset.get_value(k, idx[i], pt[j][0], pt[j][1], 0);
for (l = 0; l < num_sons; l++)
{
Trf* tr = (m ? quad_trf : tri_trf) + l;
for (i = 0; i < n; i++)
for (j = 0; j < np; j++)
{
double x = tr->m[0]*pt[j][0] + tr->t[0],
y = tr->m[1]*pt[j][1] + tr->t[1];
for (k = 0; k < 3; k++)
obase[m][l][i][j][k] = shapeset.get_value(k, idx[i], x, y, 0);
}
}
// orthonormalize the basis functions
for (i = 0; i < n; i++)
{
for (j = 0; j < i; j++)
{
double prod = 0.0;
for (k = 0; k < np; k++) {
double sum = 0.0;
for (r = 0; r < 1; r++)
sum += obase[m][8][i][k][r] * obase[m][8][j][k][r];
prod += pt[k][2] * sum;
}
for (l = 0; l < 9; l++)
if (m || l < 4 || l >= 8)
for (k = 0; k < np; k++)
for (r = 0; r < 1; r++)
obase[m][l][i][k][r] -= prod * obase[m][l][j][k][r];
}
double norm = 0.0;
for (k = 0; k < np; k++) {
double sum = 0.0;
for (r = 0; r < 1; r++)
sum += sqr(obase[m][8][i][k][r]);
norm += pt[k][2] * sum;
}
norm = sqrt(norm);
for (l = 0; l < 9; l++)
if (m || l < 4 || l >= 8)
for (k = 0; k < np; k++)
for (r = 0; r < 1; r++)
obase[m][l][i][k][r] /= norm;
}
// check the orthonormal base
/* if (m) {
for (i = 0; i < n; i++)
for (j = 0; j < n; j++)
{
double check = 0.0;
for(int son = 4; son < 6; son++ )
for (k = 0; k < np; k++)
check += pt[k][2] * (obase[m][son][i][k][0] * obase[m][son][j][k][0] +
obase[m][son][i][k][1] * obase[m][son][j][k][1] +
obase[m][son][i][k][2] * obase[m][son][j][k][2]);
check *= 0.5;
if ((i == j && fabs(check - 1.0) > 1e-8) || (i != j && fabs(check) > 1e-8))
warn("Not orthonormal: base %d times base %d = %g", i, j , check);
}
}*/
}
obase_ready = true;
}
void L2OrthoHP::get_optimal_refinement(Element* e, int order, Solution* rsln, int& split, int p[4],
bool h_only, bool iso_only, double conv_exp, int max_order)
{
int i, j, k, n = 0;
const int maxcand = 300;
order = std::max(get_h_order(order), get_v_order(order));
bool tri = e->is_triangle();
// calculate maximal order of elements
// linear elements = 9
// curvilinear elements = depends on iro_cache (how curved they are)
if (max_order == -1)
max_order = (20 - e->iro_cache)/2 - 2; // default
else
max_order = std::min( max_order, (20 - e->iro_cache)/2 - 2); // user specified
AUTOLA_CL(Cand, cand, maxcand);
#define make_p_cand(q) { \
assert(n < maxcand); \
cand[n].split = -1; \
cand[n].p[1] = cand[n].p[2] = cand[n].p[3] = 0; \
cand[n++].p[0] = (q); }
#define make_hp_cand(q0, q1, q2, q3) { \
assert(n < maxcand); \
cand[n].split = 0; \
cand[n].p[0] = (q0); \
cand[n].p[1] = (q1); \
cand[n].p[2] = (q2); \
cand[n++].p[3] = (q3); }
#define make_ani_cand(q0, q1, iso) { \
assert(n < maxcand); \
cand[n].split = iso; \
cand[n].p[2] = cand[n].p[3] = 0; \
cand[n].p[0] = (q0); \
cand[n++].p[1] = (q1); }\
if (h_only)
{
make_p_cand(order);
make_hp_cand(order, order, order, order);
make_ani_cand(order, order, 1);
make_ani_cand(order, order, 2);
}
else
{
// prepare p-candidates
int p0, p1 = std::min(max_order, order+1);
for (p0 = order; p0 <= p1; p0++)
make_p_cand(p0);
// prepare hp-candidates
p0 = (order+1) / 2;
p1 = std::min(p0 + 3, order);
int q0, q1, q2, q3;
for (q0 = p0; q0 <= p1; q0++)
for (q1 = p0; q1 <= p1; q1++)
for (q2 = p0; q2 <= p1; q2++)
for (q3 = p0; q3 <= p1; q3++)
make_hp_cand(q0, q1, q2, q3);
// prepare anisotropic candidates
// only for quadrilaterals
// too distorted (curved) elements cannot have aniso refinement (produces even worse elements)
if ((!tri) && (e->iro_cache < 8) && !iso_only) {
p0 = 2 * (order+1) / 3;
int p_max = std::min(max_order, order+1);
p1 = std::min(p0 + 3, p_max);
for (q0 = p0; q0 <= p1; q0++)
for (q1 = p0; q1 <= p1; q1++) {
if ((q0 < order+1) || (q1 < order+1)) {
make_ani_cand(q0, q1, 1);
make_ani_cand(q0, q1, 2);
}
}
}
}
// calculate (partial) projection errors
double herr[8][11], perr[11];
calc_projection_errors(e, order, rsln, herr, perr);
// evaluate candidates (sum partial projection errors, calculate dofs)
double avg = 0.0;
double dev = 0.0;
for (i = k = 0; i < n; i++)
{
Cand* c = cand + i;
if (c->split == 0)
{
c->error = 0.0;
c->dofs = tri ? 6 : 9;
for (j = 0; j < 4; j++)
{
int o = c->p[j];
c->error += herr[j][o] * 0.25; // spravny vypocet chyby
if (tri) {
c->dofs += (o-2)*(o-1)/2;
if (j < 3) c->dofs += std::min(o, c->p[3])-1 + 2*(o-1);
}
else {
c->dofs += sqr(o)-1;
c->dofs += 2 * std::min(o, c->p[j>0 ? j-1 : 3]) - 1;
}
}
}
else if (c->split == 1 || c->split == 2) // aniso splits
{
c->dofs = 6 /* vertex */ + 3*(c->p[0] - 1 + c->p[1] - 1); // edge fns
c->dofs += std::min(c->p[0], c->p[1]) - 1; // common edge
c->dofs += sqr(c->p[0] - 1) + sqr(c->p[1] - 1); // bubbles
for (c->error = 0.0, j = 0; j < 2; j++)
c->error += herr[(c->split == 1) ? j+4 : j+6][c->p[j]] * 0.5; // spravny vypocet chyby
}
else
{
int o = c->p[0];
c->error = perr[o];
c->dofs = tri ? (o+1)*(o+2)/2 : sqr(o+1);
}
c->error = sqrt(c->error);
//verbose("Cand #%d: Orders %d %d %d %d, Error %g, Dofs %d", i, c->p[0],c->p[1],c->p[2],c->p[3],c->error, c->dofs);
if (!i || c->error <= cand[0].error)
{
avg += log(c->error);
dev += sqr(log(c->error));
k++;
}
}
avg /= k; // mean
dev /= k; // second moment
dev = sqrt(dev - sqr(avg)); // deviation is square root of variance
// select an above-average candidate with the steepest error decrease
int imax = 0;
double score, maxscore = 0.0;
for (i = 1; i < n; i++)
{
if ((log(cand[i].error) < avg + dev) && (cand[i].dofs > cand[0].dofs))
{
score = (log(cand[0].error) - log(cand[i].error)) /
//(pow(cand[i].dofs, conv_exp) - pow(cand[0].dofs, conv_exp));
pow(cand[i].dofs - cand[0].dofs, conv_exp);
if (score > maxscore) { maxscore = score; imax = i; }
}
}
// return result
split = cand[imax].split;
memcpy(p, cand[imax].p, 4*sizeof(int));
//verbose("Selected Candidate #%d: Orders %d %d %d %d\n", imax, p[0],p[1],p[2],p[3]);
}
