t_vec *vector_proj_vector(t_vec *v1, t_vec *v2) // project vector 1 in vector 2
{
t_vec *ret;
ret = vec_mult(v2, dot_prod(v1, v2) / dot_prod(v2, v2));
return (ret);
}
/* --------------------------------------------------------------------
Computes kernel function for a-th and b-th.
The base address for the 1st argument is dataA and for the 2nd
argument is dataB.
-------------------------------------------------------------------- */
double kernel( long a, long b )
{
double c = 0;
ker_cnt++;
switch( ker ) {
/* linear kernel */
case 0:
c = dot_prod( a, b );
break;
/* polynomial kernel */
case 1:
c = pow( (dot_prod( a, b) + arg1[1]), arg1[0] );
break;
/* radial basis functions kernel*/
case 2:
c = exp( -0.5*sub_dot_prod( a, b)/(arg1[0]*arg1[0]) );
break;
/* sigmoid */
case 3:
c = tanh( arg1[0]*dot_prod( a,b) + arg1[1] );
break;
/* "custom": here comes definition of user's own kernel.
Currently, the linear kernel is used. */
case 4:
c = dot_prod( a, b );
break;
default:
c = 0;
}
return( c );
}
node* dfs(node start, point end){
if(start.pos.x == end.x && start.pos.y == end.y)
return NULL;
std::ofstream myfile;
myfile.open("best_route.dat", std::ofstream::out | std::ofstream::app);
//node current_edge = start;
//float* dot_products = (float*)malloc(num_edges*sizeof(float));
std::vector<float> dot_products;
for(int ui =0 ; ui < start.num_edges; ui++){
point to_dest = subtract(start.pos, end);
point to_next = subtract(start.pos, start.edges[ui]->pos);
float result_value = dot_prod(to_dest, to_next)/sqrt(dot_prod(to_dest,to_dest))/sqrt(dot_prod(to_next,to_next));
dot_products.push_back(result_value);
}
int ui = std::distance(dot_products.begin(),std::max_element(dot_products.begin(), dot_products.begin()+start.num_edges));
//for(int ui=0;ui<start.num_edges;ui++)
// printf("%f\n", dot_products[ui]);
//for(int ui=0; ui< start.num_edges; ui++){
//printf("%d\n", ui);
printf("%d : %f, %f --> %f, %f\n", ui, start.pos.x, start.pos.y, start.edges[ui]->pos.x, start.edges[ui]->pos.y);
point diff = subtract(start.pos, start.edges[ui]->pos);
myfile << start.pos.x << " " << start.pos.y << " " << diff.x << " " << diff.y << " " << std::endl;
if(dfs(*start.edges[ui], end) != NULL){
myfile.close();
//printf("%d : %d, %d\n", ui, start.pos.x, start.pos.y);
return start.edges[ui];
}
//}
myfile.close();
return NULL;
};
inline t_vec vector_proj_vector(const t_vec v1, const t_vec v2)
{
t_vec ret;
ret = vec_mult(v2, dot_prod(v1, v2) / dot_prod(v2, v2));
return (ret);
}
/* --------------------------------------------------------------------
Computes kernel function for a-th and b-th.
The base address for the 1st argument is dataA and for the 2nd
argument is dataB.
-------------------------------------------------------------------- */
double kernel( long a, long b )
{
double c = 0;
ker_cnt++;
switch( ker ) {
/* linear kernel */
case 0:
c = dot_prod( a, b );
break;
/* polynomial kernel */
case 1:
c = pow( (dot_prod( a, b) + arg1[1]), arg1[0] );
break;
/* radial basis functions kernel*/
case 2:
c = exp( -0.5*sub_dot_prod( a, b)/(arg1[0]*arg1[0]) );
break;
/* sigmoid */
case 3:
c = tanh( arg1[0]*dot_prod( a,b) + arg1[1] );
break;
default:
c = 0;
}
return( c );
}
// draw triangle with per-vertex colors
void POV3DisplayDevice::tricolor(const float * xyz1, const float * xyz2, const float * xyz3,
const float * n1, const float * n2, const float * n3,
const float *c1, const float *c2, const float *c3) {
float vec1[3], vec2[3], vec3[3], norm1[3], norm2[3], norm3[3];
float leg1[3], leg2[3], trinorm[3], ang1, ang2, ang3;
// transform the world coordinates
(transMat.top()).multpoint3d(xyz1, vec1);
(transMat.top()).multpoint3d(xyz2, vec2);
(transMat.top()).multpoint3d(xyz3, vec3);
// and the normals
(transMat.top()).multnorm3d(n1, norm1);
(transMat.top()).multnorm3d(n2, norm2);
(transMat.top()).multnorm3d(n3, norm3);
// write_materials();
// Don't write degenerate triangles -- those with all normals more than 90
// degrees from triangle normal or its inverse.
vec_sub(leg1, vec2, vec1);
vec_sub(leg2, vec3, vec1);
cross_prod(trinorm, leg1, leg2);
ang1 = dot_prod(trinorm, norm1);
ang2 = dot_prod(trinorm, norm2);
ang3 = dot_prod(trinorm, norm3);
if ( ((ang1 >= 0.0) || (ang2 >= 0.0) || (ang3 >= 0.0)) &&
((ang1 <= 0.0) || (ang2 <= 0.0) || (ang3 <= 0.0)) ) {
degenerate_triangles++;
return;
}
// If all verticies have the same color, don't bother with per-vertex
// coloring
if ( (c1[0] == c2[0]) && (c1[0] == c3[0]) &&
(c1[1] == c2[1]) && (c1[1] == c3[1]) &&
(c1[2] == c2[2]) && (c1[2] == c3[2]) ) {
fprintf(outfile, "VMD_triangle(");
fprintf(outfile, "<%.8g,%.8g,%.8g>,<%.8g,%.8g,%.8g>,<%.8g,%.8g,%.8g>,",
vec1[0], vec1[1], -vec1[2], vec2[0], vec2[1], -vec2[2],
vec3[0], vec3[1], -vec3[2]);
fprintf(outfile, "<%.8g,%.8g,%.8g>,<%.8g,%.8g,%.8g>,<%.8g,%.8g,%.8g>,",
norm1[0], norm1[1], -norm1[2], norm2[0], norm2[1], -norm2[2],
norm3[0], norm3[1], -norm3[2]);
fprintf(outfile, "rgbt<%.3f,%.3f,%.3f,%.3f>)\n",
c1[0], c1[1], c1[2], 1 - mat_opacity);
}
else {
fprintf(outfile, "VMD_tricolor(");
fprintf(outfile, "<%.8g,%.8g,%.8g>,<%.8g,%.8g,%.8g>,<%.8g,%.8g,%.8g>,",
vec1[0], vec1[1], -vec1[2], vec2[0], vec2[1], -vec2[2],
vec3[0], vec3[1], -vec3[2]);
fprintf(outfile, "<%.8g,%.8g,%.8g>,<%.8g,%.8g,%.8g>,<%.8g,%.8g,%.8g>,",
norm1[0], norm1[1], -norm1[2], norm2[0], norm2[1], -norm2[2],
norm3[0], norm3[1], -norm3[2]);
fprintf(outfile, "rgbt<%.3f,%.3f,%.3f,%.3f>,rgbt<%.3f,%.3f,%.3f,%.3f>,rgbt<%.3f,%.3f,%.3f,%.3f>)\n",
c1[0], c1[1], c1[2], 1 - mat_opacity, c2[0], c2[1], c2[2],
1 - mat_opacity, c3[0], c3[1], c3[2], 1 - mat_opacity);
}
}
void compute_zenith_color()
{
float chi ((4.f/9.f - turbidity_/120.f) * (3.1415927f - 2.f * thetas_));
// Zenith luminance in Kcd/m2
zenith_color_.Y() = (4.0453f * turbidity_ - 4.9710f) * std::tan(chi) - 0.2155f * turbidity_ + 2.4192f;
if (zenith_color_.Y() < 0.001f)
zenith_color_.Y() = 0.001f;
float t2(turbidity_ * turbidity_);
//vector4<float> th (thetas_*thetas_*thetas_, thetas_*thetas_, thetas_, 1.f);
vector4<float> th (0,0,0, 1.f);
static const vector4<float> xcoef1 ( 0.00616f, -0.00375f, 0.00209f, 0.0f ),
xcoef2 (-0.02903f, 0.06377f, -0.03202f, 0.00394f),
xcoef3 ( 0.11693f, -0.21196f, 0.06052f, 0.25886f),
ycoef1 ( 0.00275f, -0.00610f, 0.00317f, 0.0f ),
ycoef2 (-0.04214f, 0.08970f, -0.04153f, 0.00516f),
ycoef3 ( 0.15346f, -0.26756f, 0.06670f, 0.26688f);
zenith_color_.x() = t2 * dot_prod(xcoef1, th) + turbidity_ * dot_prod(xcoef2, th) + dot_prod(xcoef3, th);
zenith_color_.y() = t2 * dot_prod(ycoef1, th) + turbidity_ * dot_prod(ycoef2, th) + dot_prod(ycoef3, th);
}
void set_triangle(t_triangle *tr)
{
tr->u = (sub_vec(tr->p2, tr->p1));
tr->v = (sub_vec(tr->p3, tr->p1));
tr->uu = dot_prod(tr->u, tr->u);
tr->uv = dot_prod(tr->u, tr->v);
tr->vv = dot_prod(tr->v, tr->v);
tr->d = tr->uv * tr->uv - tr->uu * tr->vv;
tr->n = normalizator_ret(prod_vector(tr->u, tr->v));
}
static void compute_improvement( const double *delta, const double *v1,
const double *v2, double *d1, double *d2)
{
const double b = 2. * dot_prod( delta, v1);
const double c = 2. * dot_prod( delta, v2);
const double d = 2. * dot_prod( v1, v2);
const double e = dot_prod( v1, v1);
const double f = dot_prod( v2, v2);
*d1 = (d * c - 2. * f * b) / (4. * e * f - d * d);
// *d2 = (d * b - 2. * e * c) / (4. * e * f - d * d);
*d2 = -(b + 2. * e * *d1) / d;
}
void orthonormal_basis(const float b[9], float e[9]) {
float ob[3*3];
vec_copy(ob+0, b+0);
vec_copy(e+0, ob+0);
vec_normalize(e+0);
vec_triad(ob+3, b+3, -dot_prod(e+0, b+3), e+0);
vec_copy(e+3, ob+3);
vec_normalize(e+3);
vec_triad(ob+6, b+6, -dot_prod(e+0, b+6), e+0);
vec_triad(ob+6, ob+6, -dot_prod(e+3, b+6), e+3);
vec_copy(e+6, ob+6);
vec_normalize(e+6);
}
int true_anomaly(binary * b)
{
double x,y,z,vx,vy,vz,r,v,k,h[3],R[3],V[3],e_vec[3],vxh1[3],vxh2[3],R_temp[3],theta,edotr;
int rv=1;
//First translate to mass 1 rest frame
x = b->x2[0] - b->x1[0];
y = b->x2[1] - b->x1[1];
z = b->x2[2] - b->x1[2];
vx = b->v2[0] - b->v1[0];
vy = b->v2[1] - b->v1[1];
vz = b->v2[2] - b->v1[2];
r = sqrt(x*x + y*y + z*z);
v = sqrt(vx*vx + vy*vy + vz*vz);
k = G*b->mass1 + G*b->mass2; //here k is the standard gravitational parameter G(m1 + m2)
//put together vectors of r and v
R[0] = x;
R[1] = y;
R[2] = z;
V[0] = vx;
V[1] = vy;
V[2] = vz;
//calculate vector h
cross_prod(R,V,h);
//calculate the eccentricity vector
cross_prod(V,h,vxh1);
vect_mult_scalar(vxh1, 1/k, vxh2, 3);
vect_mult_scalar(R,-1/r,R_temp,3);
vect_add(vxh2,R_temp,e_vec,3);
//find true anomaly from r
edotr = dot_prod(e_vec,R,3);
theta = acos(edotr / ( mag(e_vec,3) * mag(R,3) ) );
if(dot_prod(R,V,3) < 0)
{
rv = 0;
//printf("\nold theta = %.3f\nnew theta = %.3f\n",theta,2*PI-theta);
theta = 2*PI - theta;
}
b->true_anomaly = theta;
return rv;
}
/*--- calc_T: calculates the current kinetic energy T(P) ---*/
double calc_T(CHAIN * C)
{
double T = 0, mk, mkp1;
for(int k=0; k<C->N-1; k++){
mk = C->mass[C->chain[k]];
mkp1 = C->mass[C->chain[k+1]];
T += 0.5 * (1/mk + 1/mkp1) * dot_prod(C->W[k],C->W[k],3);
if(k > 0)
T -= dot_prod(C->W[k-1],C->W[k],3)/mk;
}
return T;
}
double trans_calculator(t_thr *f, t_inter *inter,
t_transroi *n, t_pd *pd)
{
FLOAT_SIZE scalc;
FLOAT_SIZE angle;
t_vec t;
t.x = 0;
t.y = 0;
t.z = 0;
angle = 0;
scalc = 0;
angle = M_PI_2 - acos(dot_prod(pd->dir, inter->norm));
angle = (angle > 0) ? -angle : angle;
if (sin(angle) > (AIR_INCI / GLASS_INCI))
return (1);
scalc = carre(AIR_INCI / GLASS_INCI) * carre(1 - carre(cos(angle)));
t.x = ((AIR_INCI / GLASS_INCI) * pd->dir.x) + ((AIR_INCI / GLASS_INCI)
* cos(angle) - fabs(1 - scalc)) * inter->norm.x;
t.y = ((AIR_INCI / GLASS_INCI) * pd->dir.y) + ((AIR_INCI / GLASS_INCI)
* cos(angle) - fabs(1 - scalc)) * inter->norm.y;
t.z = ((AIR_INCI / GLASS_INCI) * pd->dir.z) + ((AIR_INCI / GLASS_INCI)
* cos(angle) - fabs(1 - scalc)) * inter->norm.z;
n->transpd.dir = normalizator_ret(t);
n->transpd.pos = inter->pos;
impactor(f->env, &n->transpd, f, &n->transinter);
return (0);
}
/** compute a missing value based on PMF algorithm */
float pmf_predict(const vertex_data& user,
const vertex_data& movie,
const float rating,
double & prediction,
void * pedge){
prediction = dot_prod(user.pvec, movie.pvec);
//truncate prediction to allowed values
prediction = std::min((double)prediction, maxval);
prediction = std::max((double)prediction, minval);
float err = 0;
if (iiter > pmf_burn_in){
if (pedge){
if (iiter == pmf_burn_in+1)
(*(float*)pedge) = 0;
(*(float*)pedge) += prediction;
err = pow(((*(float*)pedge) / (iiter - pmf_burn_in)) - rating, 2);
}
}
else {
err = pow(prediction - rating,2);
}
assert(!std::isnan(err));
if (!pedge)
rmse_index++;
return err;
}
// Calculates cartesian axes based on coords of nuclei in ring
// using cremer-pople algorithm. It is assumed that the
// centre of geometry is the centre of the ring.
void ring_axes(const float * X, const float * Y, const float * Z, int N,
float x[3], float y[3], float z[3]) {
float Rp[3] = {0.0, 0.0, 0.0}; float Rpp[3] = {0.0, 0.0, 0.0};
int j;
for (j=0; j<N; j++) {
float ze_angle = 2.0f * float(VMD_PI) * float(j-1) / float(N);
float ze_sin = sinf(ze_angle);
float ze_cos = cosf(ze_angle);
vec_incr(Rp, X[j]*ze_sin, Y[j]*ze_sin, Z[j]*ze_sin);
vec_incr(Rpp, X[j]*ze_cos, Y[j]*ze_cos, Z[j]*ze_cos);
}
cross_prod(z, Rp, Rpp);
vec_normalize(z);
/*
* OK, now we have z, the norm to the central plane, we need
* to calculate y as the projection of Rp onto the plane
* and x as y x z
*/
float lambda = dot_prod(z, Rp);
y[0] = Rp[0] - z[0]*lambda;
y[1] = Rp[1] - z[1]*lambda;
y[2] = Rp[2] - z[2]*lambda;
vec_normalize(y);
cross_prod(x, y, z); // voila !
}
float PSDisplayDevice::compute_light(float *a, float *b, float *c) {
float norm[3];
float light_scale;
// compute a normal vector to the surface of the polygon
norm[0] =
a[1] * (b[2] - c[2]) +
b[1] * (c[2] - a[2]) +
c[1] * (a[2] - b[2]);
norm[1] =
a[2] * (b[0] - c[0]) +
b[2] * (c[0] - a[0]) +
c[2] * (a[0] - b[0]);
norm[2] =
a[0] * (b[1] - c[1]) +
b[0] * (c[1] - a[1]) +
c[0] * (a[1] - b[1]);
// if the normal vector is zero, something is wrong with the
// object so we'll just display it with a light_scale of zero
if (!norm[0] && !norm[1] && !norm[2]) {
light_scale = 0;
} else {
// otherwise we use the dot product of the surface normal
// and the light normal to determine a light_scale
vec_normalize(norm);
light_scale = dot_prod(norm, norm_light);
if (light_scale < 0) light_scale = -light_scale;
}
return light_scale;
}
void basis_change(const float *base, const float *obase, float *newcoor, int n) {
int i, j;
for (i=0; i<n; i++) {
for (j=0; j<n; j++) {
newcoor[n*i+j] = dot_prod(&base[n*j], &obase[n*i]);
}
}
}
flt_dbl calc_loglikelihood_distance( sparse_flt_dbl_vec & datapoint, flt_dbl_vec &cluster, flt_dbl sqr_sum, flt_dbl sqr_sum_datapoint){
flt_dbl intersection = dot_prod(datapoint, cluster);
flt_dbl logLikelihood = twoLogLambda(intersection,
sqr_sum - intersection,
sqr_sum_datapoint,
datapoint.size() - sqr_sum_datapoint);
return 1.0 - 1.0 / (1.0 + logLikelihood);
}
skylight(yaw_pitch sun_position, float turbidity = 6.0f)
: sun_pos_ (from_spherical(sun_position))
, turbidity_ (turbidity)
{
thetas_ = std::acos(dot_prod(sun_pos_, vector(0, 0, 1)));
compute_zenith_color();
compute_distribution_coefficients();
compute_term();
}
void vector_norm(const vec_3d *a, float *n)
{
dot_prod(a, a, n);
#ifdef LIBQUAT_ARM
arm_sqrt_f32(*n, n);
#else
*n = sqrtf(*n);
#endif
}
double vertical_velocity(state r)
{
vec velocity = r.v;
vec unit_pos = unit_vec(r.x);
double v_vel = dot_prod(unit_pos, velocity);
return v_vel;
}
flt_dbl calc_tanimoto_distance( sparse_flt_dbl_vec & datapoint, flt_dbl_vec &cluster, flt_dbl sqr_sum, flt_dbl sqr_sum_datapoint){
flt_dbl a_mult_b = dot_prod(datapoint, cluster);
flt_dbl div = (sqr_sum + sqr_sum_datapoint - a_mult_b);
if (debug && (div == 0 || a_mult_b/div < 0)){
logstream(LOG_ERROR) << "divisor is zeo: " << sqr_sum << " " << sqr_sum_datapoint << " " << a_mult_b << " " << std::endl;
print(datapoint);
debug_print_vec("cluster", cluster, cluster.size());
exit(1);
}
return 1.0 - a_mult_b/div;
}
flt_dbl calc_tanimoto_distance( sparse_flt_dbl_vec & datapoint, sparse_flt_dbl_vec & cluster, flt_dbl sqr_sum, flt_dbl sqr_sum0){
flt_dbl a_mult_b = dot_prod(datapoint , cluster);
flt_dbl div = (sqr_sum + sqr_sum0 - a_mult_b);
if (ac.debug && (div == 0 || a_mult_b/div < 0)){
logstream(LOG_ERROR) << "divisor is zeo: " << sqr_sum<< " " << sqr_sum0 << " " << a_mult_b << " " << std::endl;
print(datapoint);
print(cluster);
exit(1);
}
return a_mult_b/div;
}
// draw a cylinder
void X3DDisplayDevice::cylinder_noxfrm(float *ta, float *tb, float radius, int filled) {
if (ta[0] == tb[0] && ta[1] == tb[1] && ta[2] == tb[2]) {
return; // we don't serve your kind here
}
float height = distance(ta, tb);
fprintf(outfile, "<Transform translation='%g %g %g' ",
ta[0], ta[1] + (height / 2.0), ta[2]);
float rotaxis[3];
float cylaxdir[3];
float yaxis[3] = {0.0, 1.0, 0.0};
vec_sub(cylaxdir, tb, ta);
vec_normalize(cylaxdir);
float dp = dot_prod(yaxis, cylaxdir);
cross_prod(rotaxis, cylaxdir, yaxis);
vec_normalize(rotaxis);
// if we have decent rotation vector, use it
if ((rotaxis[0]*rotaxis[0] +
rotaxis[1]*rotaxis[1] +
rotaxis[2]*rotaxis[2]) > 0.5) {
fprintf(outfile, "center='0.0 %g 0.0' ", -(height / 2.0));
fprintf(outfile, "rotation='%g %g %g %g'",
rotaxis[0], rotaxis[1], rotaxis[2], -acos(dp));
} else if (dp < -0.98) {
// if we have denormalized rotation vector, we can assume it is
// caused by a cylinder axis that is nearly coaxial with the Y axis.
// If this is the case, we either perform no rotation in the case of a
// angle cosine near 1.0, or a 180 degree rotation for a cosine near -1.
fprintf(outfile, "center='0.0 %g 0.0' ", -(height / 2.0));
fprintf(outfile, "rotation='0 0 -1 -3.14159'");
}
fprintf(outfile, ">\n");
fprintf(outfile, " <Shape>\n");
fprintf(outfile, " ");
write_cindexmaterial(colorIndex, materialIndex);
// draw the cylinder
fprintf(outfile, " <Cylinder "
"bottom='%s' height='%g' radius='%g' side='%s' top='%s' />\n",
filled ? "true" : "false",
height,
radius,
"true",
filled ? "true" : "false");
fprintf(outfile, " </Shape>\n");
fprintf(outfile, "</Transform>\n");
}
/** compute a missing value based on ALS algorithm */
float bsvd_predict(const vertex_data& user, const vertex_data& movie,
const float rating, double & prediction, void * extra = NULL) {
prediction = dot_prod(user.pvec, movie.pvec);
//truncate prediction to allowed values
// prediction = std::min((double)prediction, maxval);
// prediction = std::max((double)prediction, minval);
//return the squared error
float err = rating - prediction;
assert(!std::isnan(err));
return err * err;
}
double normalize_vector(double v[3]) /* returns magnitude */
{
double mag;
mag = sqrt(dot_prod(v,v));
if(mag!=0){
v[0] /= mag;
v[1] /= mag;
v[2] /= mag;
}
return(mag);
}
void check_triangle(t_item *item, t_pd *s, t_inter *inter, t_thr *f)
{
t_vec n;
t_vec a;
FLOAT_SIZE t;
n = (prod_vector(item->tr->u, item->tr->v));
a.x = -dot_prod(n, sub_vec(s->pos, item->tr->p1));
a.y = dot_prod(n, s->dir);
if (fabs(a.y) > 0 && (t = a.x / a.y) >= 0)
{
n = sub_vec(set_dist_pos(t, s->dir, s->pos), item->tr->p1);
a.x = dot_prod(n, item->tr->u);
a.y = dot_prod(n, item->tr->v);
a.z = (a.y * item->tr->uv - item->tr->vv * a.x) / item->tr->d;
a.y = (item->tr->uv * a.x - item->tr->uu * a.y) / item->tr->d;
if (a.z < 0.0 || a.z > 1.0 || a.y < 0.0 || (a.y + a.z) > 1.0)
return ;
if (check_t(inter, t, s, item) == 1 && f->impactmod)
inter->norm = item->tr->n;
}
return ;
}
int point_triangle(t_vec pos, t_triangle *p)
{
FLOAT_SIZE accumilator;
t_vec dot;
t_vec line1;
t_vec line2;
accumilator = 0;
line1 = normalizator_ret(sub_vec(p->p1, pos));
line2 = normalizator_ret(sub_vec(p->p2, pos));
dot.x = dot_prod(line1, line2);
line1 = normalizator_ret(sub_vec(p->p2, pos));
line2 = normalizator_ret(sub_vec(p->p3, pos));
dot.y = dot_prod(line1, line2);
line1 = normalizator_ret(sub_vec(p->p3, pos));
line2 = normalizator_ret(sub_vec(p->p1, pos));
dot.z = dot_prod(line1, line2);
accumilator = acos(dot.x) + acos(dot.y) + acos(dot.z);
if (accumilator < (359.9 * M_PI))
return (0);
else
return (1);
}
// Interaction rate function routine
static void web_rate(void* context, real_t xx, real_t yy, real_t *cxy, real_t *ratesxy)
{
long int i;
real_t fac;
foodweb_t* data = context;
for (i = 0; i<NUM_SPECIES; i++)
ratesxy[i] = dot_prod(NUM_SPECIES, cxy, acoef[i]);
fac = ONE + ALPHA * xx * yy;
for (i = 0; i < NUM_SPECIES; i++)
ratesxy[i] = cxy[i] * ( bcoef[i] * fac + ratesxy[i] );
}
double get_schlick(t_pd *pd, t_inter *inter)
{
double ro;
double cosi;
double cost;
ro = carre(AIR_INCI - GLASS_INCI / AIR_INCI + GLASS_INCI);
cosi = dot_prod(vec_mult(pd->dir, -1), inter->norm);
cost = fabs(1 - (carre(AIR_INCI / GLASS_INCI) * (1 - carre(cosi))));
if (AIR_INCI <= GLASS_INCI)
return (ro + (1 - ro) * pow(1 - cosi, 5));
else if (AIR_INCI > GLASS_INCI)
return (ro + (1 - ro) * pow(1 - cost, 5));
else
return (1);
}
