void
test_eigen_gen_results (const gsl_matrix * A, const gsl_matrix * B,
const gsl_vector_complex * alpha,
const gsl_vector * beta,
const gsl_matrix_complex * evec,
size_t count, const char * desc,
const char * desc2)
{
const size_t N = A->size1;
size_t i, j;
gsl_matrix_complex *ma, *mb;
gsl_vector_complex *x, *y;
gsl_complex z_one, z_zero;
ma = gsl_matrix_complex_alloc(N, N);
mb = gsl_matrix_complex_alloc(N, N);
y = gsl_vector_complex_alloc(N);
x = gsl_vector_complex_alloc(N);
/* ma <- A, mb <- B */
for (i = 0; i < N; ++i)
{
for (j = 0; j < N; ++j)
{
gsl_complex z;
GSL_SET_COMPLEX(&z, gsl_matrix_get(A, i, j), 0.0);
gsl_matrix_complex_set(ma, i, j, z);
GSL_SET_COMPLEX(&z, gsl_matrix_get(B, i, j), 0.0);
gsl_matrix_complex_set(mb, i, j, z);
}
}
GSL_SET_COMPLEX(&z_one, 1.0, 0.0);
GSL_SET_COMPLEX(&z_zero, 0.0, 0.0);
/* check eigenvalues */
for (i = 0; i < N; ++i)
{
gsl_vector_complex_const_view vi =
gsl_matrix_complex_const_column(evec, i);
gsl_complex ai = gsl_vector_complex_get(alpha, i);
double bi = gsl_vector_get(beta, i);
/* compute x = alpha * B * v */
gsl_blas_zgemv(CblasNoTrans, z_one, mb, &vi.vector, z_zero, x);
gsl_blas_zscal(ai, x);
/* compute y = beta * A v */
gsl_blas_zgemv(CblasNoTrans, z_one, ma, &vi.vector, z_zero, y);
gsl_blas_zdscal(bi, y);
/* now test if y = x */
for (j = 0; j < N; ++j)
{
gsl_complex xj = gsl_vector_complex_get(x, j);
gsl_complex yj = gsl_vector_complex_get(y, j);
gsl_test_abs(GSL_REAL(yj), GSL_REAL(xj), 1e8*GSL_DBL_EPSILON,
"gen(N=%u,cnt=%u), %s, eigenvalue(%d,%d), real, %s",
N, count, desc, i, j, desc2);
gsl_test_abs(GSL_IMAG(yj), GSL_IMAG(xj), 1e8*GSL_DBL_EPSILON,
"gen(N=%u,cnt=%u), %s, eigenvalue(%d,%d), real, %s",
N, count, desc, i, j, desc2);
}
}
gsl_matrix_complex_free(ma);
gsl_matrix_complex_free(mb);
gsl_vector_complex_free(y);
gsl_vector_complex_free(x);
} /* test_eigen_gen_results() */
void
test_eigen_nonsymm_results (const gsl_matrix * m,
const gsl_vector_complex * eval,
const gsl_matrix_complex * evec,
size_t count,
const char * desc,
const char * desc2)
{
size_t i,j;
size_t N = m->size1;
gsl_vector_complex * x = gsl_vector_complex_alloc(N);
gsl_vector_complex * y = gsl_vector_complex_alloc(N);
gsl_matrix_complex * A = gsl_matrix_complex_alloc(N, N);
/* we need a complex matrix for the blas routines, so copy m into A */
for (i = 0; i < N; ++i)
{
for (j = 0; j < N; ++j)
{
gsl_complex z;
GSL_SET_COMPLEX(&z, gsl_matrix_get(m, i, j), 0.0);
gsl_matrix_complex_set(A, i, j, z);
}
}
for (i = 0; i < N; i++)
{
gsl_complex ei = gsl_vector_complex_get (eval, i);
gsl_vector_complex_const_view vi = gsl_matrix_complex_const_column(evec, i);
double norm = gsl_blas_dznrm2(&vi.vector);
/* check that eigenvector is normalized */
gsl_test_rel(norm, 1.0, N * GSL_DBL_EPSILON,
"nonsymm(N=%u,cnt=%u), %s, normalized(%d), %s", N, count, desc, i, desc2);
gsl_vector_complex_memcpy(x, &vi.vector);
/* compute y = m x (should = lambda v) */
gsl_blas_zgemv (CblasNoTrans, GSL_COMPLEX_ONE, A, x,
GSL_COMPLEX_ZERO, y);
/* compute x = lambda v */
gsl_blas_zscal(ei, x);
/* now test if y = x */
for (j = 0; j < N; j++)
{
gsl_complex xj = gsl_vector_complex_get (x, j);
gsl_complex yj = gsl_vector_complex_get (y, j);
/* use abs here in case the values are close to 0 */
gsl_test_abs(GSL_REAL(yj), GSL_REAL(xj), 1e8*GSL_DBL_EPSILON,
"nonsymm(N=%u,cnt=%u), %s, eigenvalue(%d,%d), real, %s", N, count, desc, i, j, desc2);
gsl_test_abs(GSL_IMAG(yj), GSL_IMAG(xj), 1e8*GSL_DBL_EPSILON,
"nonsymm(N=%u,cnt=%u), %s, eigenvalue(%d,%d), imag, %s", N, count, desc, i, j, desc2);
}
}
gsl_matrix_complex_free(A);
gsl_vector_complex_free(x);
gsl_vector_complex_free(y);
}
int
gsl_linalg_complex_cholesky_invert(gsl_matrix_complex * LLT)
{
if (LLT->size1 != LLT->size2)
{
GSL_ERROR ("cholesky matrix must be square", GSL_ENOTSQR);
}
else
{
size_t N = LLT->size1;
size_t i, j;
gsl_vector_complex_view v1;
/* invert the lower triangle of LLT */
for (i = 0; i < N; ++i)
{
double ajj;
gsl_complex z;
j = N - i - 1;
{
gsl_complex z0 = gsl_matrix_complex_get(LLT, j, j);
ajj = 1.0 / GSL_REAL(z0);
}
GSL_SET_COMPLEX(&z, ajj, 0.0);
gsl_matrix_complex_set(LLT, j, j, z);
{
gsl_complex z1 = gsl_matrix_complex_get(LLT, j, j);
ajj = -GSL_REAL(z1);
}
if (j < N - 1)
{
gsl_matrix_complex_view m;
m = gsl_matrix_complex_submatrix(LLT, j + 1, j + 1,
N - j - 1, N - j - 1);
v1 = gsl_matrix_complex_subcolumn(LLT, j, j + 1, N - j - 1);
gsl_blas_ztrmv(CblasLower, CblasNoTrans, CblasNonUnit,
&m.matrix, &v1.vector);
gsl_blas_zdscal(ajj, &v1.vector);
}
} /* for (i = 0; i < N; ++i) */
/*
* The lower triangle of LLT now contains L^{-1}. Now compute
* A^{-1} = L^{-H} L^{-1}
*
* The (ij) element of A^{-1} is column i of conj(L^{-1}) dotted into
* column j of L^{-1}
*/
for (i = 0; i < N; ++i)
{
gsl_complex sum;
for (j = i + 1; j < N; ++j)
{
gsl_vector_complex_view v2;
v1 = gsl_matrix_complex_subcolumn(LLT, i, j, N - j);
v2 = gsl_matrix_complex_subcolumn(LLT, j, j, N - j);
/* compute Ainv[i,j] = sum_k{conj(Linv[k,i]) * Linv[k,j]} */
gsl_blas_zdotc(&v1.vector, &v2.vector, &sum);
/* store in upper triangle */
gsl_matrix_complex_set(LLT, i, j, sum);
}
/* now compute the diagonal element */
v1 = gsl_matrix_complex_subcolumn(LLT, i, i, N - i);
gsl_blas_zdotc(&v1.vector, &v1.vector, &sum);
gsl_matrix_complex_set(LLT, i, i, sum);
}
/* copy the Hermitian upper triangle to the lower triangle */
for (j = 1; j < N; j++)
{
for (i = 0; i < j; i++)
{
gsl_complex z = gsl_matrix_complex_get(LLT, i, j);
gsl_matrix_complex_set(LLT, j, i, gsl_complex_conjugate(z));
}
}
return GSL_SUCCESS;
}
} /* gsl_linalg_complex_cholesky_invert() */
int
gsl_linalg_complex_cholesky_decomp(gsl_matrix_complex *A)
{
const size_t N = A->size1;
if (N != A->size2)
{
GSL_ERROR("cholesky decomposition requires square matrix", GSL_ENOTSQR);
}
else
{
size_t i, j;
gsl_complex z;
double ajj;
for (j = 0; j < N; ++j)
{
z = gsl_matrix_complex_get(A, j, j);
ajj = GSL_REAL(z);
if (j > 0)
{
gsl_vector_complex_const_view aj =
gsl_matrix_complex_const_subrow(A, j, 0, j);
gsl_blas_zdotc(&aj.vector, &aj.vector, &z);
ajj -= GSL_REAL(z);
}
if (ajj <= 0.0)
{
GSL_ERROR("matrix is not positive definite", GSL_EDOM);
}
ajj = sqrt(ajj);
GSL_SET_COMPLEX(&z, ajj, 0.0);
gsl_matrix_complex_set(A, j, j, z);
if (j < N - 1)
{
gsl_vector_complex_view av =
gsl_matrix_complex_subcolumn(A, j, j + 1, N - j - 1);
if (j > 0)
{
gsl_vector_complex_view aj =
gsl_matrix_complex_subrow(A, j, 0, j);
gsl_matrix_complex_view am =
gsl_matrix_complex_submatrix(A, j + 1, 0, N - j - 1, j);
cholesky_complex_conj_vector(&aj.vector);
gsl_blas_zgemv(CblasNoTrans,
GSL_COMPLEX_NEGONE,
&am.matrix,
&aj.vector,
GSL_COMPLEX_ONE,
&av.vector);
cholesky_complex_conj_vector(&aj.vector);
}
gsl_blas_zdscal(1.0 / ajj, &av.vector);
}
}
/* Now store L^H in upper triangle */
for (i = 1; i < N; ++i)
{
for (j = 0; j < i; ++j)
{
z = gsl_matrix_complex_get(A, i, j);
gsl_matrix_complex_set(A, j, i, gsl_complex_conjugate(z));
}
}
return GSL_SUCCESS;
}
} /* gsl_linalg_complex_cholesky_decomp() */
int
gsl_eigen_hermv (gsl_matrix_complex * A, gsl_vector * eval,
gsl_matrix_complex * evec,
gsl_eigen_hermv_workspace * w)
{
if (A->size1 != A->size2)
{
GSL_ERROR ("matrix must be square to compute eigenvalues", GSL_ENOTSQR);
}
else if (eval->size != A->size1)
{
GSL_ERROR ("eigenvalue vector must match matrix size", GSL_EBADLEN);
}
else if (evec->size1 != A->size1 || evec->size2 != A->size1)
{
GSL_ERROR ("eigenvector matrix must match matrix size", GSL_EBADLEN);
}
else
{
const size_t N = A->size1;
double *const d = w->d;
double *const sd = w->sd;
size_t a, b;
/* handle special case */
if (N == 1)
{
gsl_complex A00 = gsl_matrix_complex_get (A, 0, 0);
gsl_vector_set (eval, 0, GSL_REAL(A00));
gsl_matrix_complex_set (evec, 0, 0, GSL_COMPLEX_ONE);
return GSL_SUCCESS;
}
/* Transform the matrix into a symmetric tridiagonal form */
{
gsl_vector_view d_vec = gsl_vector_view_array (d, N);
gsl_vector_view sd_vec = gsl_vector_view_array (sd, N - 1);
gsl_vector_complex_view tau_vec = gsl_vector_complex_view_array (w->tau, N-1);
gsl_linalg_hermtd_decomp (A, &tau_vec.vector);
gsl_linalg_hermtd_unpack (A, &tau_vec.vector, evec, &d_vec.vector, &sd_vec.vector);
}
/* Make an initial pass through the tridiagonal decomposition
to remove off-diagonal elements which are effectively zero */
chop_small_elements (N, d, sd);
/* Progressively reduce the matrix until it is diagonal */
b = N - 1;
while (b > 0)
{
if (sd[b - 1] == 0.0 || isnan(sd[b - 1]))
{
b--;
continue;
}
/* Find the largest unreduced block (a,b) starting from b
and working backwards */
a = b - 1;
while (a > 0)
{
if (sd[a - 1] == 0.0)
{
break;
}
a--;
}
{
size_t i;
const size_t n_block = b - a + 1;
double *d_block = d + a;
double *sd_block = sd + a;
double * const gc = w->gc;
double * const gs = w->gs;
/* apply QR reduction with implicit deflation to the
unreduced block */
qrstep (n_block, d_block, sd_block, gc, gs);
/* Apply Givens rotation Gij(c,s) to matrix Q, Q <- Q G */
for (i = 0; i < n_block - 1; i++)
{
const double c = gc[i], s = gs[i];
size_t k;
for (k = 0; k < N; k++)
{
gsl_complex qki = gsl_matrix_complex_get (evec, k, a + i);
gsl_complex qkj = gsl_matrix_complex_get (evec, k, a + i + 1);
/* qki <= qki * c - qkj * s */
/* qkj <= qki * s + qkj * c */
gsl_complex x1 = gsl_complex_mul_real(qki, c);
gsl_complex y1 = gsl_complex_mul_real(qkj, -s);
gsl_complex x2 = gsl_complex_mul_real(qki, s);
gsl_complex y2 = gsl_complex_mul_real(qkj, c);
gsl_complex qqki = gsl_complex_add(x1, y1);
gsl_complex qqkj = gsl_complex_add(x2, y2);
gsl_matrix_complex_set (evec, k, a + i, qqki);
gsl_matrix_complex_set (evec, k, a + i + 1, qqkj);
}
}
/* remove any small off-diagonal elements */
chop_small_elements (n_block, d_block, sd_block);
}
}
{
gsl_vector_view d_vec = gsl_vector_view_array (d, N);
gsl_vector_memcpy (eval, &d_vec.vector);
}
return GSL_SUCCESS;
}
}
void get2Dnoisematrix(struct data *d,int mode)
{
int dim1,dim2,dim3,nr;
double noisefrac;
int h,i,j,k,l;
int n=0;
gsl_complex cx,cx1,cx2;
#ifdef DEBUG
struct timeval tp;
double t1,t2;
char function[20];
strcpy(function,"get2Dnoisematrix"); /* Set function name */
#endif
/* Get noise if it has not been measured */
if (!d->noise.data) getnoise2D(d,mode);
/* Equalize noise if it has not been done */
if (!d->noise.equal) equalizenoise2D(d,mode);
#ifdef DEBUG
fprintf(stdout,"\n%s: %s()\n",SOURCEFILE,function);
gettimeofday(&tp, NULL);
t1=(double)tp.tv_sec+(1.e-6)*tp.tv_usec;
fflush(stdout);
#endif
/* Data dimensions */
dim1=d->np/2; dim2=d->nv; dim3=d->endpos-d->startpos; nr=d->nr;
noisefrac=0.0;
switch(mode) {
case MK: /* Mask parameters */
switch(d->datamode) {
case FID:
noisefrac=*val("masknoisefrac",&d->p);
if (!noisefrac) noisefrac=Knoisefraction;
break;
default:
noisefrac=*val("masklvlnoisefrac",&d->p);
if (!noisefrac) noisefrac=IMnoisefraction;
} /* end datamode switch */
break;
case SM: /* Sensitivity map parameters */
switch(d->datamode) {
case FID:
noisefrac=*val("smapnoisefrac",&d->p);
if (!noisefrac) noisefrac=Knoisefraction;
break;
default:
noisefrac=*val("masklvlnoisefrac",&d->p);
if (!noisefrac) noisefrac=IMnoisefraction;
} /* end datamode switch */
break;
default: /* Default parameters */
switch(d->datamode) {
case FID:
noisefrac=Knoisefraction;
break;
default:
noisefrac=IMnoisefraction;
} /* end datamode switch */
} /* end mode switch */
/* Allocate memory for noise matrix */ /* Get noise if it has not been measured */
if (!d->noise.data) getnoise2D(d,mode);
if ((d->noise.mat = (gsl_matrix_complex **)malloc(dim3*sizeof(gsl_matrix_complex *))) == NULL) nomem();
for (j=0;j<dim3;j++)
d->noise.mat[j]=(gsl_matrix_complex *)gsl_matrix_complex_calloc(nr,nr);
for (h=0;h<nr;h++) {
for (i=0;i<nr;i++) {
if (((d->datamode == FID) && d->shift) || ((d->datamode == IMAGE) && !d->shift)) {
/* For shifted FID and not-shifted IMAGE the noise is at centre */
for (j=0;j<dim3;j++) {
n=0;
GSL_SET_COMPLEX(&cx,0.0,0.0);
for(k=dim2/2-dim2*noisefrac/2;k<dim2/2+dim2*noisefrac/2;k++) {
for (l=dim1/2-dim1*noisefrac/2;l<dim1/2+dim1*noisefrac/2;l++) {
GSL_SET_REAL(&cx1,d->data[h][j][k*dim1+l][0]);
GSL_SET_IMAG(&cx1,d->data[h][j][k*dim1+l][1]);
GSL_SET_REAL(&cx2,d->data[i][j][k*dim1+l][0]);
GSL_SET_IMAG(&cx2,d->data[i][j][k*dim1+l][1]);
cx=gsl_complex_add(cx,gsl_complex_mul(cx1,gsl_complex_conjugate(cx2)));
n++;
}
}
/* Take the mean and normalize */
GSL_SET_COMPLEX(&cx,GSL_REAL(cx)/(n*d->noise.avM2),GSL_IMAG(cx)/(n*d->noise.avM2));
gsl_matrix_complex_set(d->noise.mat[j],h,i,cx);
}
} else {
/* For not shifted FID and shifted IMAGE the noise is at edges */
for (j=0;j<dim3;j++) {
n=0;
GSL_SET_COMPLEX(&cx,0.0,0.0);
for(k=0;k<dim2*noisefrac/2;k++) {
for (l=0;l<dim1*noisefrac/2;l++) {
GSL_SET_REAL(&cx1,d->data[h][j][k*dim1+l][0]);
GSL_SET_IMAG(&cx1,d->data[h][j][k*dim1+l][1]);
GSL_SET_REAL(&cx2,d->data[i][j][k*dim1+l][0]);
GSL_SET_IMAG(&cx2,d->data[i][j][k*dim1+l][1]);
cx=gsl_complex_add(cx,gsl_complex_mul(cx1,gsl_complex_conjugate(cx2)));
n++;
}
for (l=dim1-dim1*noisefrac/2;l<dim1;l++) {
GSL_SET_REAL(&cx1,d->data[h][j][k*dim1+l][0]);
GSL_SET_IMAG(&cx1,d->data[h][j][k*dim1+l][1]);
GSL_SET_REAL(&cx2,d->data[i][j][k*dim1+l][0]);
GSL_SET_IMAG(&cx2,d->data[i][j][k*dim1+l][1]);
cx=gsl_complex_add(cx,gsl_complex_mul(cx1,gsl_complex_conjugate(cx2)));
n++;
}
}
for(k=dim2-dim2*noisefrac/2;k<dim2;k++) {
for (l=0;l<dim1*noisefrac/2;l++) {
GSL_SET_REAL(&cx1,d->data[h][j][k*dim1+l][0]);
GSL_SET_IMAG(&cx1,d->data[h][j][k*dim1+l][1]);
GSL_SET_REAL(&cx2,d->data[i][j][k*dim1+l][0]);
GSL_SET_IMAG(&cx2,d->data[i][j][k*dim1+l][1]);
cx=gsl_complex_add(cx,gsl_complex_mul(cx1,gsl_complex_conjugate(cx2)));
n++;
}
for (l=dim1-dim1*noisefrac/2;l<dim1;l++) {
GSL_SET_REAL(&cx1,d->data[h][j][k*dim1+l][0]);
GSL_SET_IMAG(&cx1,d->data[h][j][k*dim1+l][1]);
GSL_SET_REAL(&cx2,d->data[i][j][k*dim1+l][0]);
GSL_SET_IMAG(&cx2,d->data[i][j][k*dim1+l][1]);
cx=gsl_complex_add(cx,gsl_complex_mul(cx1,gsl_complex_conjugate(cx2)));
n++;
}
}
/* Take the mean and normalize */
GSL_SET_COMPLEX(&cx,GSL_REAL(cx)/(n*d->noise.avM2),GSL_IMAG(cx)/(n*d->noise.avM2));
gsl_matrix_complex_set(d->noise.mat[j],h,i,cx);
}
}
}
}
/* Set noise matrix flag */
d->noise.matrix=TRUE;
#ifdef DEBUG
gettimeofday(&tp, NULL);
t2=(double)tp.tv_sec+(1.e-6)*tp.tv_usec;
fprintf(stdout," Took %f secs\n",t2-t1);
print2Dnoisematrix(d);
fflush(stdout);
#else
/* Print Noise Matrix, if requested */
if (!(strcmp(*sval("printNM",&d->p),"y"))) print2Dnoisematrix(d);
#endif
}
int main(int argc, char * argv[])
{
int num,i,*states,num_e,j,k;
double *entry, *dos_vec, *eval_vec;
double coef;
char tmpc;
gsl_vector *eval;
gsl_matrix_view m;
gsl_eigen_symm_workspace *w;
gsl_matrix_complex * matrix2;
gsl_complex z;
gsl_permutation * p;
char name[25];
FILE *out;
if ((out = fopen(argv[1],"r")) != NULL)
{
num = 0;
printf("reading from file: %s....\n",argv[1]);
while(fscanf(out,"%lf",&coef) != EOF) num++;
if (modf(sqrt(num),&coef) != 0)
{
printf("not a square matrix!\n\n");
return 1;
}
//printf("%d\n",num);
fseek(out,0,SEEK_SET);
num = sqrt(num);
entry = (double *)malloc(sizeof(double) * num * num);
i = 0;
while (i < (num * num))
{
*(entry + i) = 0;
i++;
}
i = 0;
printf("loading matrix into memory...\n");
while(fscanf(out,"%lf",&coef) != EOF)
{
*(entry + i) = coef;
printf("entry %d = %g\n",i + 1,coef);
i++;
}
flags += NUMPRINT;
flags += READFROMFILE;
}
if (argc < 6 && (flags & READFROMFILE) == 0)
{
printf("usage: no. of layers, slope of cone/no. of atoms per layer, on-site energy, hopping parameter, model, (option)\n");
printf("\n Models are:\n1: Nanotube, square lattice\n2: Nanotube, hex lattice (armchair)\n");
printf("3: Nanohorn, square lattice\n4: Nanohorn hex lattice\n5: Nanotube, hex lattice (zig-zag)\n");
printf("\nOptions are: p - print symbolically\n n - print numerically\n\n");
return 1;
}
else if ((flags & READFROMFILE) != 0)
{
}
else
{
num = atoi(argv[1]);
Epsilon = atol(argv[3]);
Gamma = atol(argv[4]);
switch(atoi(argv[5]))
{
case 1: flags = flags + CNT_SQUARE;
Alpha = atoi(argv[2]);
num *= Alpha;
entry = (double *)malloc(sizeof(double) * num * num);
break;
case 2: flags = flags + CNT_HEX_ARM;
Alpha = atoi(argv[2]);
i = Alpha;
if ((i % 2) != 0)
{
printf("no. of atoms per layer must be even, changing to %d\n",i + 1);
Alpha += 1;
}
num *= (Alpha);
entry = (double *)malloc(sizeof(double) * num * num);
break;
case 3: flags = flags + HORN_SQUARE;
i = 1;
num_e = 0;
while (i <= num)
{
num_e += i;
i++;
}
num = num_e;
entry = (double *)malloc(sizeof(double) * num * num);
break;
case 4: flags = flags + HORN_HEX;
num = 0;
entry = NULL;
break;
case 5: flags = flags + CNT_HEX_ZIG;
Alpha = atoi(argv[2]);
i = Alpha;
while ((i % 4) != 0)
{
i++;
}
Alpha = i;
num *= Alpha;
entry = (double *)malloc(sizeof(double) * num * num);
break;
default: printf("No valid model choice!\n");
return 1;
break;
}
i = 0;
while (i < (num * num))
{
*(entry + i) = 0;
i++;
}
printf("Alpha = %g\n",Alpha);
}
printf("%d atoms\n",num);
if (argc > 6)
{
if (strcmp("p\0",argv[6]) == 0)
{
//printf("print");
flags = flags + PRINT;
}
if (strcmp("n\0", argv[6]) == 0)
{
flags = flags + NUMPRINT;
}
}
eval = gsl_vector_alloc(num);
//printf("flags %d\n",flags);
//k = (flags & PRINT);
//printf("print ? %d\n",k);
//printf("%lf",Alpha);
//printf("%d",num);
if (entry == NULL)
{
printf("could not allocate memory\n");
return 1;
}
i = 0;
if ((flags & READFROMFILE) == 0)
{
printf("Populating Matrix...\n");
PopulateMatrix(entry,num);
out = fopen("matrix","w");
i = 0;
while (i < (num * num))
{
fprintf(out,"%3.5lf ",*(entry + i));
if (((i + 1) % num) == 0) fprintf(out,"\n");
i++;
}
fclose(out);
}
else
{
}
printf("Printing Matrix\n");
PrintMatrix(entry,num);
//CalcEigenvalues(entry,num,eval);
//Eigenvalue Calculation
m = gsl_matrix_view_array (entry,num,num);
//printf("87\n");
w = gsl_eigen_symm_alloc (num);
//printf("89\n");
printf("Solving Eigenvalue equation....\n");
if(gsl_eigen_symm (&m.matrix, eval, w))
{
printf("an error occurred solving the eigenvalue equation\n");
return 1;
}
//printf("\nworkspace location = %#x",w);
gsl_eigen_symm_free(w);
printf("\n\n");
//if (flags & NUMPRINT != 0 || flags & PRINT != 0)
printf("Eigenvalues found. ");
eval_vec = malloc(sizeof(double) * num);
i = 0;
while (i < num)
{
*(eval_vec + i) = gsl_vector_get(eval,i);
i++;
}
gsl_vector_free(eval);
tmpc = 0;
printf("Ordering Eigenvalues...\n");
qsort(eval_vec,num,sizeof(double),comparedouble);
division = ((*(eval_vec + num - 1) - *eval_vec) / num) * 10 * INTERVAL;
num_e = ((*(eval_vec + num - 1) - *eval_vec))/ division;
num_e++; //just in case
while ((flags & FINISHED) == 0)
{
if (tmpc != -1) printf("(s)ave in file, (q)uit and discard, (p)rint (!), (d)ensity of states: ");
scanf("%c",&tmpc);
if (tmpc == 'p' || tmpc == 'P')
{
i = 0;
while (i < num)
{
printf("Eigenvalue %d\t: %g\n",(i + 1),*(eval_vec + i));
i++;
}
printf("\n");
tmpc = -1;
}
else if (tmpc == 'q' || tmpc == 'Q')
{
printf("\nexiting...\n\n");
flags += FINISHED;
}
else if (tmpc == 'd' || tmpc == 'D')
{
tmpc = 0;
dos_vec = malloc(sizeof(double) * num_e);
states = malloc(sizeof(int) * num_e);
printf("\nCalculating density of states...\n");
Calculate(eval_vec,num,dos_vec,states);
i = 0;
printf("\n");
out = fopen("dostube","w");
while (i < num_e && *(states + i) >= 0)
{
printf("Energy: % .5lf\tNo. of states: %d\n",*(dos_vec + i),*(states + i));
fprintf(out,"% .5lf\t%d\n",*(dos_vec + i),*(states + i));
i++;
}
num_e = i;
fclose(out);
flags += FINISHED;
flags += DOS;
}
else if (tmpc == -1) //WHY?!!
{
tmpc = 0;
}
else if (tmpc == 's' || tmpc == 'S') //broken for some reason
{
printf("\nchoose filename: ");
scanf("%s",name);
//printf("%s",name);
out = fopen(name,"r");
if (out != NULL)
{
printf("File already exists!\n");
fclose(out);
}
else
{
fclose(out);
out = fopen(name,"w");
printf("Writing to file: %s",name);
i = 0;
while (i < num)
{
fprintf(out,"Eigenvalue %d\t: %g\n",(i + 1),*(eval_vec + i));
i++;
}
fclose(out);
tmpc = -1;
}
}
else
{
printf("unrecognised option!\n");
}
}
if ((flags & DOS) != 0)
{
while (j < num_e)
{
matrix2 = gsl_matrix_complex_alloc(sizeof(gsl_complex) * num,sizeof(gsl_complex) * num);
i = 0;
gsl_matrix_complex_set_identity(matrix2);
z.dat[0] = *(dos_vec + j);
z.dat[1] = 0.0001;
gsl_matrix_complex_scale(matrix2,z);
while (i < num)
{
k = 0;
while(k < num)
{
z = gsl_matrix_complex_get(matrix2,i,k);
z.dat[0] -= *(entry + i + (k * num));
gsl_matrix_complex_set(matrix2,i,k,z);
k++;
}
i++;
}
out = fopen("matrix","w");
gsl_matrix_complex_fprintf(out,matrix2,"% 2.2lf");
fclose(out);
free(entry);
}
}
//printf("\neval location = %#x",eval);
return 0;
}
/*
* Calculate eigenvectors and eigenvalues for a non-symmetric complex matrix
* using the CLAPACK zgeev_ function.
*
*/
int
gsl_ext_eigen_zgeev(gsl_matrix_complex *A_gsl, gsl_matrix_complex *evec, gsl_vector_complex *eval)
{
//integer *pivot;
integer n,i,j,info,lwork, ldvl, ldvr, lda;
doublecomplex *A,*vr,*vl,*w,*work;
doublereal *rwork;
char jobvl,jobvr;
n = A_gsl->size1;
// pivot = (integer *)malloc((size_t)n * sizeof(int));
A = (doublecomplex *)malloc((size_t)n * n * sizeof(doublecomplex));
w = (doublecomplex *)malloc((size_t)n * sizeof(doublecomplex));
vr = (doublecomplex *)malloc((size_t)n * n * sizeof(doublecomplex));
vl = (doublecomplex *)malloc((size_t)n * n * sizeof(doublecomplex));
lwork = 16 * n;
work = (doublecomplex *)malloc((size_t)lwork * sizeof(doublecomplex));
rwork = (doublereal *)malloc((size_t)lwork * sizeof(doublereal));
for (i = 0; i < n; i++)
{
for (j = 0; j < n; j++)
{
gsl_complex z;
double re,im;
z = gsl_matrix_complex_get(A_gsl, i, j);
re = GSL_REAL(z);
im = GSL_IMAG(z);
A[j*n+i] = (doublecomplex){re,im};
}
}
jobvl='N';
jobvr='V';
lda = n;
ldvr = n;
ldvl = n;
zgeev_(&jobvl, &jobvr, &n, A, &lda, w, vl, &ldvl, vr, &ldvr, work, &lwork, rwork, &info);
//ZGEEVX(BALANC, JOBVL, JOBVR, SENSE, N, A, LDA, W, VL, LDVL, VR, LDVR, ILO, IHI, SCALE, ABNRM, RCONDE, RCONDV, WORK, LWORK, RWORK, INFO )
for (i = 0; i < n; i++)
{
gsl_complex z;
GSL_SET_COMPLEX(&z, w[i].r, w[i].i);
gsl_vector_complex_set(eval, i, z);
}
for (j = 0; j < n; j++)
{
for (i = 0; i < n; i++)
{
gsl_complex z;
GSL_SET_COMPLEX(&z, vr[j*n+i].r, vr[j*n+i].i);
gsl_matrix_complex_set(evec, i, j, z);
}
}
if (info != 0)
{
printf("zgeev_: error: info = %d\n", (int)info);
}
// free(pivot);
free(A);
free(w);
free(vr);
free(vl);
free(work);
free(rwork);
return 0;
}
void MAIAllocator::Setup() {
//////// initialization of dynamic data structures
Hmat = gsl_matrix_complex_alloc(N(),M());
Hchan = gsl_vector_complex_alloc(N());
Hperm = gsl_matrix_uint_alloc(N(),M());
p = gsl_permutation_alloc(N());
huserabs = gsl_vector_alloc(N());
nextcarr = gsl_vector_uint_alloc(M());
usedcarr = gsl_vector_uint_alloc(N());
errs = gsl_vector_uint_alloc(M());
habs = gsl_matrix_alloc(N(),M());
huu = gsl_matrix_complex_alloc(N(),M());
framecount = 0;
ericount = 0;
csicount = 0;
noDecisions = 0;
ostringstream cmd;
//
// time
//
time(&reporttime);
//
// Random Generator
//
ran = gsl_rng_alloc( gsl_rng_default );
// SIGNATURE FREQUENCIES INITIAL SETUP
signature_frequencies = gsl_matrix_uint_alloc(M(),J());
signature_frequencies_init = gsl_matrix_uint_alloc(M(),J());
signature_powers = gsl_matrix_alloc(M(),J());
for (int i=0; i<M(); i++)
for (int j=0; j<J(); j++)
gsl_matrix_uint_set(signature_frequencies_init,i,j,(j*M()+i) % N());
//
// INITIAL ALLOCATION
//
gsl_matrix_uint_memcpy(signature_frequencies,
signature_frequencies_init);
// maximum initial powers for all carriers
gsl_matrix_set_all(signature_powers,INIT_CARR_POWER);
gsl_vector_uint_set_zero(errs);
//
//
// FFT Transform Matrix
//
//
transform_mat = gsl_matrix_complex_calloc(N(),N());
double fftarg=-2.0*double(M_PI/N());
double fftamp=1.0/sqrt(double(N()));
for (int i=0; i<N(); i++)
for (int j=0; j<N(); j++)
gsl_matrix_complex_set(transform_mat,i,j,
gsl_complex_polar(fftamp,fftarg*i*j) );
switch (Mode()) {
case 0:
cout << BlockName << " - Allocator type FIXED_ALLOCATION selected" << endl;
break;
case 1:
cout << BlockName << " - Allocator type GIVE_BEST_CARR selected" << endl;
break;
case 2:
cout << BlockName << " - Allocator type SWAP_BAD_GOOD selected" << endl;
break;
case 3:
cout << BlockName << " - Allocator type BEST_OVERLAP selected" << endl;
break;
case 4:
cout << BlockName << " - Allocator type SOAR_AI selected" << endl;
//
// SOAR INITIALIZATION
//
max_errors = MAX_ERROR_RATE * ERROR_REPORT_INTERVAL * Nb() * K();
cout << BlockName << " - Max errors tuned to " << max_errors << " errors/frame." << endl;
//
// first we initialize the vectors and matrices
// in the order of appearance in the header file.
//
umapUserVec = vector < Identifier * > (M());
umapUserUidVec = vector < IntElement * > (M());
umapUserErrsVec = vector < IntElement * > (M());
umapUserPowerVec = vector < FloatElement * > (M());
umapUserCarrMat = vector < Identifier * > (M()*J());
umapUserCarrCidMat = vector < IntElement * > (M()*J());
umapUserCarrPowerMat = vector < FloatElement * > (M()*J());
chansCoeffMat = vector < Identifier * > (M()*N());
chansCoeffUserMat = vector < IntElement * > (M()*N());
chansCoeffCarrMat = vector < IntElement * > (M()*N());
chansCoeffValueMat = vector < FloatElement * > (M()*N());
carmapCarrVec = vector < Identifier * > (N());
carmapCarrCidVec = vector < IntElement * > (N());
//
// then we create an instance of the Soar kernel in our process
//
pKernel = Kernel::CreateKernelInNewThread() ;
//pKernel = Kernel::CreateRemoteConnection() ;
// Check that nothing went wrong. We will always get back a kernel object
// even if something went wrong and we have to abort.
if (pKernel->HadError())
{
cerr << BlockName << ".SOAR - "
<< pKernel->GetLastErrorDescription() << endl ;
exit(1);
}
// We check if an agent has been prevoiusly created, otherwise we create it
// NOTE: We don't delete the agent pointer. It's owned by the kernel
pAgent = pKernel->GetAgent("AIAllocator") ;
if (! pKernel->IsAgentValid(pAgent)) {
pAgent = pKernel->CreateAgent("AIAllocator") ;
}
// Check that nothing went wrong
// NOTE: No agent gets created if there's a problem, so we have to check for
// errors through the kernel object.
if (pKernel->HadError())
{
cerr << BlockName << ".SOAR - " << pKernel->GetLastErrorDescription() << endl ;
exit(1);
}
//
// load productions
//
pAgent->LoadProductions(SoarFn());
// spawn debugger
#ifdef SPAWN_DEBUGGER
pAgent->SpawnDebugger();
#endif
// Check that nothing went wrong
// NOTE: No agent gets created if there's a problem, so we have to check for
// errors through the kernel object.
if (pKernel->HadError())
{
cerr << BlockName << ".SOAR - "
<< pKernel->GetLastErrorDescription() << endl ;
exit(1);
}
// keypress
//cout << "pause maillocator:203 ... (press ENTER key)" << endl;
//cin.ignore();
//
// we can now generate initial input link structure
//
// NO MORE adjust max-nil-output-cycle
//cmd << "max-nil-output-cycles " << 120;
//pAgent->ExecuteCommandLine(cmd.str().c_str());
// the input-link
pInputLink = pAgent->GetInputLink();
// input-time
input_time = 0;
inputTime = pAgent->CreateIntWME(pInputLink,"input-time",input_time);
// the usrmap structure (common wmes)
umap = pAgent->CreateIdWME(pInputLink,"usrmap");
// BITS_PER_REPORT = ERROR_REPORT_INTERVAL * Nb() * K()
// MAX_ERRORS = MAX_ERROR_RATE * BITS_PER_REPORT
umapMaxerr = pAgent->CreateIntWME(umap,"maxerr",max_errors);
umapPstep = pAgent->CreateFloatWME(umap,"pstep",POWER_STEP);
umapPmax = pAgent->CreateFloatWME(umap,"pmax",MAX_POWER);
// the channels
chans = pAgent->CreateIdWME(pInputLink,"channels");
// the carmap
carmap = pAgent->CreateIdWME(pInputLink,"carmap");
// the usrmap structure (users substructure)
for (int i=0;i<M();i++) { // user loop
umapUserVec[i] = pAgent->CreateIdWME(umap,"user");
umapUserUidVec[i] = pAgent->CreateIntWME(umapUserVec[i],"uid",i);
umapUserErrsVec[i] = pAgent->CreateIntWME(umapUserVec[i],"errs",int(0));
umapUserPowerVec[i] = pAgent->CreateFloatWME(umapUserVec[i],"power",J());
// update the current allocation
for (int j=0;j<J();j++) { // allocated carriers loop
unsigned int usedcarr = gsl_matrix_uint_get(signature_frequencies,i,j);
double usedpow = gsl_matrix_get(signature_powers,i,j);
umapUserCarrMat[i*J()+j] = pAgent->CreateIdWME(umapUserVec[i],"carr");
umapUserCarrCidMat[i*J()+j] =
pAgent->CreateIntWME(umapUserCarrMat[i*J()+j],"cid",usedcarr);
umapUserCarrPowerMat[i*J()+j] =
pAgent->CreateFloatWME(umapUserCarrMat[i*J()+j],"power",usedpow);
} // allocated carriers loop
// the channels
for (int j=0;j<N();j++) { // all channels loop
chansCoeffMat[i*N()+j] = pAgent->CreateIdWME(chans,"coeff");
chansCoeffUserMat[i*N()+j] = pAgent->CreateIntWME(chansCoeffMat[i*N()+j],"user",i);
chansCoeffCarrMat[i*N()+j] = pAgent->CreateIntWME(chansCoeffMat[i*N()+j],"carr",j);
chansCoeffValueMat[i*N()+j] = pAgent->CreateFloatWME(chansCoeffMat[i*N()+j],"value",0.0);
} // all channels loop
} // user loop
// the carmap structure
for (int j=0;j<N();j++) { // all carriers loop
carmapCarrVec[j] = pAgent->CreateIdWME(carmap,"carr");
carmapCarrCidVec[j] = pAgent->CreateIntWME(carmapCarrVec[j],"cid",j);
} // all carriers loop
//
// END OF SOAR INITIALIZAZION
//
break;
default:
cerr << BlockName << " - Unhandled allocator type !" << endl;
exit(1);
}
//////// rate declaration for ports
}
int main(void) {
gsl_matrix *TS; /* the training set of real waveforms */
gsl_matrix_complex *cTS; /* the training set of complex waveforms */
size_t TSsize; /* the size of the training set (number of waveforms) */
size_t wl; /* the length of each waveform */
size_t k = 0, j = 0, i = 0, nbases = 0, cnbases = 0;
REAL8 *RB = NULL; /* the real reduced basis set */
COMPLEX16 *cRB = NULL; /* the complex reduced basis set */
LALInferenceREALROQInterpolant *interp = NULL;
LALInferenceCOMPLEXROQInterpolant *cinterp = NULL;
gsl_vector *freqs;
double tolerance = TOLERANCE; /* tolerance for reduced basis generation loop */
TSsize = TSSIZE;
wl = WL;
/* allocate memory for training set */
TS = gsl_matrix_calloc(TSsize, wl);
cTS = gsl_matrix_complex_calloc(TSsize, wl);
/* the waveform model is just a simple chirp so set up chirp mass range for training set */
double fmin0 = 48, fmax0 = 256, f0 = 0., m0 = 0.;
double df = (fmax0-fmin0)/(wl-1.); /* model time steps */
freqs = gsl_vector_alloc(wl); /* times at which to calculate the model */
double Mcmax = 2., Mcmin = 1.5, Mc = 0.;
gsl_vector_view fweights = gsl_vector_view_array(&df, 1);
/* set up training sets (one real and one complex) */
for ( k=0; k < TSsize; k++ ){
Mc = pow(pow(Mcmin, 5./3.) + (double)k*(pow(Mcmax, 5./3.)-pow(Mcmin, 5./3.))/((double)TSsize-1), 3./5.);
for ( j=0; j < wl; j++ ){
f0 = fmin0 + (double)j*(fmax0-fmin0)/((double)wl-1.);
gsl_complex gctmp;
COMPLEX16 ctmp;
m0 = real_model(f0, Mc);
ctmp = imag_model(f0, Mc);
GSL_SET_COMPLEX(&gctmp, creal(ctmp), cimag(ctmp));
gsl_vector_set(freqs, j, f0);
gsl_matrix_set(TS, k, j, m0);
gsl_matrix_complex_set(cTS, k, j, gctmp);
}
}
/* create reduced orthonormal basis from training set */
if ( (RB = LALInferenceGenerateREAL8OrthonormalBasis(&fweights.vector, tolerance, TS, &nbases)) == NULL){
fprintf(stderr, "Error... problem producing basis\n");
return 1;
}
if ( (cRB = LALInferenceGenerateCOMPLEX16OrthonormalBasis(&fweights.vector, tolerance, cTS, &cnbases)) == NULL){
fprintf(stderr, "Error... problem producing basis\n");
return 1;
}
/* free the training set */
gsl_matrix_free(TS);
gsl_matrix_complex_free(cTS);
gsl_matrix_view RBview = gsl_matrix_view_array(RB, nbases, wl);
gsl_matrix_complex_view cRBview = gsl_matrix_complex_view_array((double*)cRB, cnbases, wl);
fprintf(stderr, "No. nodes (real) = %zu, %zu x %zu\n", nbases, RBview.matrix.size1, RBview.matrix.size2);
fprintf(stderr, "No. nodes (complex) = %zu, %zu x %zu\n", cnbases, cRBview.matrix.size1, cRBview.matrix.size2);
/* get the interpolant */
interp = LALInferenceGenerateREALROQInterpolant(&RBview.matrix);
cinterp = LALInferenceGenerateCOMPLEXROQInterpolant(&cRBview.matrix);
/* free the reduced basis */
XLALFree(RB);
XLALFree(cRB);
/* now get the terms for the likelihood with and without the reduced order quadrature
* and do some timing tests */
/* create the model dot model weights */
REAL8 varval = 1.;
gsl_vector_view vars = gsl_vector_view_array(&varval, 1);
gsl_matrix *mmw = LALInferenceGenerateREALModelModelWeights(interp->B, &vars.vector);
gsl_matrix_complex *cmmw = LALInferenceGenerateCOMPLEXModelModelWeights(cinterp->B, &vars.vector);
/* let's create some Gaussian random data */
const gsl_rng_type *T;
gsl_rng *r;
gsl_rng_env_setup();
T = gsl_rng_default;
r = gsl_rng_alloc(T);
REAL8 *data = XLALCalloc(wl, sizeof(REAL8));
COMPLEX16 *cdata = XLALCalloc(wl, sizeof(COMPLEX16));
for ( i=0; i<wl; i++ ){
data[i] = gsl_ran_gaussian(r, 1.0); /* real data */
cdata[i] = gsl_ran_gaussian(r, 1.0) + I*gsl_ran_gaussian(r, 1.0); /* complex data */
}
/* create the data dot model weights */
gsl_vector_view dataview = gsl_vector_view_array(data, wl);
gsl_vector *dmw = LALInferenceGenerateREAL8DataModelWeights(interp->B, &dataview.vector, &vars.vector);
gsl_vector_complex_view cdataview = gsl_vector_complex_view_array((double*)cdata, wl);
gsl_vector_complex *cdmw = LALInferenceGenerateCOMPLEX16DataModelWeights(cinterp->B, &cdataview.vector, &vars.vector);
/* pick a chirp mass and generate a model to compare likelihoods */
double randMc = 1.873; /* a random frequency to create a model */
gsl_vector *modelfull = gsl_vector_alloc(wl);
gsl_vector *modelreduced = gsl_vector_alloc(nbases);
gsl_vector_complex *cmodelfull = gsl_vector_complex_alloc(wl);
gsl_vector_complex *cmodelreduced = gsl_vector_complex_alloc(cnbases);
/* create models */
for ( i=0; i<wl; i++ ){
/* models at all frequencies */
gsl_vector_set(modelfull, i, real_model(gsl_vector_get(freqs, i), randMc));
COMPLEX16 cval = imag_model(gsl_vector_get(freqs, i), randMc);
gsl_complex gcval;
GSL_SET_COMPLEX(&gcval, creal(cval), cimag(cval));
gsl_vector_complex_set(cmodelfull, i, gcval);
}
/* models at interpolant nodes */
for ( i=0; i<nbases; i++ ){ /* real model */
gsl_vector_set(modelreduced, i, real_model(gsl_vector_get(freqs, interp->nodes[i]), randMc));
}
for ( i=0; i<cnbases; i++ ){ /* complex model */
COMPLEX16 cval = imag_model(gsl_vector_get(freqs, cinterp->nodes[i]), randMc);
gsl_complex gcval;
GSL_SET_COMPLEX(&gcval, creal(cval), cimag(cval));
gsl_vector_complex_set(cmodelreduced, i, gcval);
}
/* timing variables */
struct timeval t1, t2, t3, t4;
double dt1, dt2;
/* start with the real model */
/* get the model model term with the full model */
REAL8 mmfull, mmred;
gettimeofday(&t1, NULL);
XLAL_CALLGSL( gsl_blas_ddot(modelfull, modelfull, &mmfull) ); /* real model */
gettimeofday(&t2, NULL);
/* now get it with the reduced order quadrature */
gettimeofday(&t3, NULL);
mmred = LALInferenceROQREAL8ModelDotModel(mmw, modelreduced);
gettimeofday(&t4, NULL);
dt1 = (double)((t2.tv_sec + t2.tv_usec*1.e-6) - (t1.tv_sec + t1.tv_usec*1.e-6));
dt2 = (double)((t4.tv_sec + t4.tv_usec*1.e-6) - (t3.tv_sec + t3.tv_usec*1.e-6));
fprintf(stderr, "Real Signal:\n - M dot M (full) = %le [%.9lf s], M dot M (reduced) = %le [%.9lf s], time ratio = %lf\n", mmfull, dt1, mmred, dt2, dt1/dt2);
/* get the data model term with the full model */
REAL8 dmfull, dmred;
gettimeofday(&t1, NULL);
XLAL_CALLGSL( gsl_blas_ddot(&dataview.vector, modelfull, &dmfull) );
gettimeofday(&t2, NULL);
/* now get it with the reduced order quadrature */
gettimeofday(&t3, NULL);
dmred = LALInferenceROQREAL8DataDotModel(dmw, modelreduced);
gettimeofday(&t4, NULL);
dt1 = (double)((t2.tv_sec + t2.tv_usec*1.e-6) - (t1.tv_sec + t1.tv_usec*1.e-6));
dt2 = (double)((t4.tv_sec + t4.tv_usec*1.e-6) - (t3.tv_sec + t3.tv_usec*1.e-6));
fprintf(stderr, " - D dot M (full) = %le [%.9lf s], D dot M (reduced) = %le [%.9lf s], time ratio = %lf\n", dmfull, dt1, dmred, dt2, dt1/dt2);
/* check difference in log likelihoods */
double Lfull, Lred, Lfrac;
Lfull = mmfull - 2.*dmfull;
Lred = mmred - 2.*dmred;
Lfrac = 100.*fabs(Lfull-Lred)/fabs(Lfull); /* fractional log likelihood difference (in %) */
fprintf(stderr, " - Fractional difference in log likelihoods = %lf%%\n", Lfrac);
XLALFree(data);
gsl_vector_free(modelfull);
gsl_vector_free(modelreduced);
gsl_matrix_free(mmw);
gsl_vector_free(dmw);
/* check log likelihood difference is within tolerance */
if ( Lfrac > LTOL ) { return 1; }
/* now do the same with the complex model */
/* get the model model term with the full model */
COMPLEX16 cmmred, cmmfull;
gsl_complex cmmfulltmp;
gettimeofday(&t1, NULL);
XLAL_CALLGSL( gsl_blas_zdotc(cmodelfull, cmodelfull, &cmmfulltmp) ); /* complex model */
cmmfull = GSL_REAL(cmmfulltmp) + I*GSL_IMAG(cmmfulltmp);
gettimeofday(&t2, NULL);
gettimeofday(&t3, NULL);
cmmred = LALInferenceROQCOMPLEX16ModelDotModel(cmmw, cmodelreduced);
gettimeofday(&t4, NULL);
dt1 = (double)((t2.tv_sec + t2.tv_usec*1.e-6) - (t1.tv_sec + t1.tv_usec*1.e-6));
dt2 = (double)((t4.tv_sec + t4.tv_usec*1.e-6) - (t3.tv_sec + t3.tv_usec*1.e-6));
fprintf(stderr, "Complex Signal:\n - M dot M (full) = %le [%.9lf s], M dot M (reduced) = %le [%.9lf s], time ratio = %lf\n", creal(cmmfull), dt1, creal(cmmred), dt2, dt1/dt2);
COMPLEX16 cdmfull, cdmred;
gsl_complex cdmfulltmp;
gettimeofday(&t1, NULL);
XLAL_CALLGSL( gsl_blas_zdotc(&cdataview.vector, cmodelfull, &cdmfulltmp) );
cdmfull = GSL_REAL(cdmfulltmp) + I*GSL_IMAG(cdmfulltmp);
gettimeofday(&t2, NULL);
gettimeofday(&t3, NULL);
cdmred = LALInferenceROQCOMPLEX16DataDotModel(cdmw, cmodelreduced);
gettimeofday(&t4, NULL);
dt1 = (double)((t2.tv_sec + t2.tv_usec*1.e-6) - (t1.tv_sec + t1.tv_usec*1.e-6));
dt2 = (double)((t4.tv_sec + t4.tv_usec*1.e-6) - (t3.tv_sec + t3.tv_usec*1.e-6));
fprintf(stderr, " - D dot M (full) = %le [%.9lf s], D dot M (reduced) = %le [%.9lf s], time ratio = %lf\n", creal(cdmfull), dt1, creal(cdmred), dt2, dt1/dt2);
/* check difference in log likelihoods */
Lfull = creal(cmmfull) - 2.*creal(cdmfull);
Lred = creal(cmmred) - 2.*creal(cdmred);
Lfrac = 100.*fabs(Lfull-Lred)/fabs(Lfull); /* fractional log likelihood difference (in %) */
fprintf(stderr, " - Fractional difference in log likelihoods = %lf%%\n", Lfrac);
XLALFree(cdata);
gsl_vector_complex_free(cmodelfull);
gsl_vector_complex_free(cmodelreduced);
gsl_matrix_complex_free(cmmw);
gsl_vector_complex_free(cdmw);
LALInferenceRemoveREALROQInterpolant( interp );
LALInferenceRemoveCOMPLEXROQInterpolant( cinterp );
/* check log likelihood difference is within tolerance */
if ( Lfrac > LTOL ) { return 1; }
return 0;
}
void Spectrometer::countDispersion_BS(Medium &Osrodek, QString DataName, QProgressBar *Progress, int factor) {
//lsfgerhla
double a=Osrodek.itsBasis.getLatticeConstant();
double thickness=Osrodek.itsStructure.getThickness();
int RecVec=itsRecVectors;
int k_prec=itsK_Precision;
double wi=itsFrequencies[0];
double w_prec=itsFrequencies[1];
double wf=itsFrequencies[2];
int half=3*(2*RecVec+1)*(2*RecVec+1);
int dimension=6*(2*RecVec+1)*(2*RecVec+1);
int EigValStrNumber=6*(2*RecVec+1)*(2*RecVec+1);
int EigValNumber=9*(2*RecVec+1)*(2*RecVec+1);
std::ofstream plik;
DataName="results/"+ DataName + ".dat";
QByteArray bytes = DataName.toAscii();
const char * CDataName = bytes.data();
plik.open(CDataName);
//inicjalizacje wektorów i macierzy
gsl_matrix *gammaA=gsl_matrix_calloc(dimension, dimension);
gsl_matrix *gammaB=gsl_matrix_calloc(dimension, dimension);
gsl_matrix *gammaC=gsl_matrix_calloc(dimension, dimension);
gsl_matrix *gammaD=gsl_matrix_calloc(dimension, dimension);
gsl_eigen_genv_workspace *wspce=gsl_eigen_genv_alloc(dimension);
gsl_eigen_genv_workspace *wspce2=gsl_eigen_genv_alloc(dimension);
gsl_vector_complex *StrAlpha =gsl_vector_complex_alloc(dimension);
gsl_vector *StrBeta = gsl_vector_alloc(dimension);
gsl_matrix_complex *StrEigenVec=gsl_matrix_complex_calloc(dimension, dimension);
gsl_vector_complex *BAlpha =gsl_vector_complex_alloc(dimension);
gsl_vector *BBeta = gsl_vector_alloc(dimension);
gsl_matrix_complex *BasisEigenVec=gsl_matrix_complex_calloc(dimension, dimension);
gsl_matrix_complex *ChosenVectors = gsl_matrix_complex_calloc(half, EigValNumber);
gsl_vector_complex *ChosenValues = gsl_vector_complex_calloc(EigValNumber);
gsl_matrix_complex *Boundaries=gsl_matrix_complex_calloc(EigValNumber, EigValNumber);
double kx, ky, krokx, kroky, boundary_x, boundary_y;
double k_zred, k_zred0;
double krok = M_PI/(k_prec*a);
for (int droga=0; droga<3; droga++) {
//int droga = 1;
if (droga==0) //droga M->Gamma
{
kx=-M_PI/a;
krokx=krok;
boundary_x=0;
ky=-M_PI/a;
kroky=krok;
boundary_y=0;
k_zred0=-1*sqrt(pow(kx/(2*M_PI/a), 2)+pow(ky/(2*M_PI/a), 2));
}
else if (droga==1)
{
kx=0; //droga Gamma->X
krokx=krok;
boundary_x=M_PI/a;
ky=0;
kroky=0;
boundary_y=0;
k_zred0=sqrt(2)/2;
//k_zred0=0;
}
else if (droga==2)
{
kx=M_PI/a; //Droga X->M
krokx=0;
boundary_x=M_PI/a;
ky=0;
kroky=krok;
boundary_y=M_PI/a;
k_zred0=sqrt(2)/2;
}
//petla dla wektorów falowych
for (; kx <= boundary_x && ky <= boundary_y; kx=kx+krokx, ky=ky+kroky)
{
if (droga==0) {
k_zred = abs(k_zred0 + sqrt( pow(kx/(2*M_PI/a), 2)+pow(ky/(2*M_PI/a), 2)));
} else {
k_zred = k_zred0 + kx/(2*M_PI/a) + ky/(2*M_PI/a);
}
int postep=int(100*k_zred/1.7);
Progress->setValue(postep);
Progress->update();
QApplication::processEvents();
//pętla dla częstości w
for (double w=wi; w<wf; w=w+w_prec)
{
gsl_matrix_complex_set_all(Boundaries, gsl_complex_rect (0,0)); //ustawienie wartosci wyznacznika na 0
gsl_matrix_set_all(gammaA, 0);
gsl_matrix_set_all(gammaB, 0);
gsl_matrix_set_all(gammaC, 0);
gsl_matrix_set_all(gammaD, 0);
gsl_vector_complex_set_all(StrAlpha, gsl_complex_rect (0,0));
gsl_vector_set_all(BBeta, 0);
gsl_vector_complex_set_all(BAlpha, gsl_complex_rect (0,0));
gsl_vector_set_all(StrBeta, 0);
gsl_matrix_complex_set_all(BasisEigenVec, gsl_complex_rect (0,0));
gsl_matrix_complex_set_all(StrEigenVec, gsl_complex_rect (0,0));
gsl_matrix_complex_set_all(ChosenVectors, gsl_complex_rect (0,0));
gsl_vector_complex_set_all(ChosenValues, gsl_complex_rect (0,0));
//gammaA,B dla struktury
//gammaA,B dla struktury
/*
S - numeruje transformaty tensora sprężystoœci i gestosci
i - numeruje wiersze macierzy
j - numeruje kolumny macierzy
half - druga polowa macierzy
*/
for(int Nx=-RecVec, i=0, S=0; Nx<=RecVec; Nx++) {
for(int Ny=-RecVec; Ny<=RecVec; Ny++, i=i+3) {
for(int Nx_prim=-RecVec, j=0; Nx_prim<=RecVec; Nx_prim++) {
for(int Ny_prim=-RecVec; Ny_prim<=RecVec; Ny_prim++, j=j+3, S++) {
double Elasticity[6][6];
itsRecStructureSubstance[S].getElasticity(Elasticity);
double Density=itsRecStructureSubstance[S].getDensity();
double gx=2*M_PI*Nx/a;
double gy=2*M_PI*Ny/a;
double gx_prim=2*M_PI*Nx_prim/a;
double gy_prim=2*M_PI*Ny_prim/a;
gsl_matrix_set(gammaA, i, j, Elasticity[3][3]);
gsl_matrix_set(gammaA, i+1, j+1, Elasticity[3][3]);
gsl_matrix_set(gammaA, i+2, j+2, Elasticity[0][0]);
gsl_matrix_set(gammaB, i+2, j, -Elasticity[0][1]*(kx+gx_prim)-Elasticity[3][3]*(kx+gx));
gsl_matrix_set(gammaB, i+2, j+1, -Elasticity[0][1]*(ky+gy_prim)-Elasticity[3][3]*(ky+gy));
gsl_matrix_set(gammaB, i, j+2, -Elasticity[0][1]*(kx+gx)-Elasticity[3][3]*(kx+gx_prim));
gsl_matrix_set(gammaB, i+1, j+2, -Elasticity[0][1]*(ky+gy)-Elasticity[3][3]*(ky+gy_prim));
gsl_matrix_set(gammaB, i, j+half, -Elasticity[0][0]*(kx+gx)*(kx+gx_prim)-Elasticity[3][3]*(ky+gy)*(ky+gy_prim)+Density*w*w);
gsl_matrix_set(gammaB, i+1, j+half, -Elasticity[0][1]*(kx+gx_prim)*(ky+gy)-Elasticity[3][3]*(ky+gy_prim)*(kx+gx));
gsl_matrix_set(gammaB, i, j+half+1, -Elasticity[0][1]*(ky+gy_prim)*(kx+gx)-Elasticity[3][3]*(kx+gx_prim)*(ky+gy));
gsl_matrix_set(gammaB, i+1, j+half+1, -Elasticity[0][0]*(ky+gy_prim)*(ky+gy)-Elasticity[3][3]*(kx+gx_prim)*(kx+gx)+Density*w*w);
gsl_matrix_set(gammaB, i+2, j+half+2, -Elasticity[3][3]*(ky+gy_prim)*(ky+gy)-Elasticity[3][3]*(kx+gx_prim)*(kx+gx)+Density*w*w);
if (i==j) {
gsl_matrix_set(gammaA, i+half, j+half, 1);
gsl_matrix_set(gammaA, i+half+1, j+half+1, 1);
gsl_matrix_set(gammaA, i+half+2, j+half+2, 1);
gsl_matrix_set(gammaB, i+half, j, 1);
gsl_matrix_set(gammaB, i+half+1, j+1, 1);
gsl_matrix_set(gammaB, i+half+2, j+2, 1);
}
}
}
}
}
//rozwiazanie zagadnienienia własnego
gsl_eigen_genv(gammaB, gammaA, StrAlpha, StrBeta, StrEigenVec, wspce);
//gammaC,D dla Podłoża
for(int Nx=-RecVec, i=0, S=0; Nx<=RecVec; Nx++) {
for(int Ny=-RecVec; Ny<=RecVec; Ny++, i=i+3) {
for(int Nx_prim=-RecVec, j=0; Nx_prim<=RecVec; Nx_prim++) {
for(int Ny_prim=-RecVec; Ny_prim<=RecVec; Ny_prim++, j=j+3, S++) {
double Elasticity[6][6];
itsRecBasisSubstance[S].getElasticity(Elasticity);
double Density=itsRecBasisSubstance[S].getDensity();
double gx=2*M_PI*Nx/a;
double gy=2*M_PI*Ny/a;
double gx_prim=2*M_PI*Nx_prim/a;
double gy_prim=2*M_PI*Ny_prim/a;
gsl_matrix_set(gammaC, i, j, Elasticity[3][3]);
gsl_matrix_set(gammaC, i+1, j+1, Elasticity[3][3]);
gsl_matrix_set(gammaC, i+2, j+2, Elasticity[0][0]);
gsl_matrix_set(gammaD, i+2, j, -Elasticity[0][1]*(kx+gx_prim)-Elasticity[3][3]*(kx+gx));
gsl_matrix_set(gammaD, i+2, j+1, -Elasticity[0][1]*(ky+gy_prim)-Elasticity[3][3]*(ky+gy));
gsl_matrix_set(gammaD, i, j+2, -Elasticity[0][1]*(kx+gx)-Elasticity[3][3]*(kx+gx_prim));
gsl_matrix_set(gammaD, i+1, j+2, -Elasticity[0][1]*(ky+gy)-Elasticity[3][3]*(ky+gy_prim));
gsl_matrix_set(gammaD, i, j+half, -Elasticity[0][0]*(kx+gx)*(kx+gx_prim)-Elasticity[3][3]*(ky+gy)*(ky+gy_prim)+Density*w*w);
gsl_matrix_set(gammaD, i+1, j+half, -Elasticity[0][1]*(kx+gx_prim)*(ky+gy)-Elasticity[3][3]*(ky+gy_prim)*(kx+gx));
gsl_matrix_set(gammaD, i, j+half+1, -Elasticity[0][1]*(ky+gy_prim)*(kx+gx)-Elasticity[3][3]*(kx+gx_prim)*(ky+gy));
gsl_matrix_set(gammaD, i+1, j+half+1, -Elasticity[0][0]*(ky+gy_prim)*(ky+gy)-Elasticity[3][3]*(kx+gx_prim)*(kx+gx)+Density*w*w);
gsl_matrix_set(gammaD, i+2, j+half+2, -Elasticity[3][3]*(ky+gy_prim)*(ky+gy)-Elasticity[3][3]*(kx+gx_prim)*(kx+gx)+Density*w*w);
if (i==j) {
gsl_matrix_set(gammaC, i+half, j+half, 1);
gsl_matrix_set(gammaC, i+half+1, j+half+1, 1);
gsl_matrix_set(gammaC, i+half+2, j+half+2, 1);
gsl_matrix_set(gammaD, i+half, j, 1);
gsl_matrix_set(gammaD, i+half+1, j+1, 1);
gsl_matrix_set(gammaD, i+half+2, j+2, 1);
}
}
}
}
}
//rozwiazanie zagadnienienia własnego
gsl_eigen_genv(gammaD, gammaC, BAlpha, BBeta, BasisEigenVec, wspce2);
double imagL, realL; //części Re i Im wartości własnych
int n=0;
for (int i = 0; i<dimension; i++)
{
//przepisanie wartości i wektorów własnych struktury do macierzy Chosen*
gsl_complex StrValue;
StrValue= gsl_complex_div_real(gsl_vector_complex_get(StrAlpha, i), gsl_vector_get(StrBeta,i));
gsl_vector_complex_set(ChosenValues, i, StrValue);
for (int j = half, m=0; j < dimension; j++, m++)
{
gsl_matrix_complex_set(ChosenVectors, m, i, gsl_matrix_complex_get(StrEigenVec, j, i));
}
//wybieranie odpowiednich wartości i wektorów własnych dla podłoża i przepisanie do macierzy Chosen*
gsl_complex BValue;
BValue= gsl_complex_div_real(gsl_vector_complex_get(BAlpha, i), gsl_vector_get(BBeta,i));
imagL=GSL_IMAG(BValue);
realL=GSL_REAL(BValue);
if (imagL > 0.00001 && n+EigValStrNumber<EigValNumber) //warunek na wartości własne && żeby nie było ich więcej niż połowa
{
gsl_vector_complex_set(ChosenValues, n+EigValStrNumber, BValue); //wybranie wartości własnej
for (int j = half, m=0; j < dimension; j++, m++)
{
gsl_matrix_complex_set(ChosenVectors, m, n+EigValStrNumber, gsl_complex_mul_real(gsl_matrix_complex_get(BasisEigenVec, j, i), -1)); //wybranie drugiej połowy wektora własnego
}
n++;
}
}
if (n+EigValStrNumber<EigValNumber)
{
for (int i = 0; i<dimension; i++)
{
gsl_complex BValue;
BValue= gsl_complex_div_real(gsl_vector_complex_get(BAlpha, i), gsl_vector_get(BBeta,i));
imagL=GSL_IMAG(BValue);
realL=GSL_REAL(BValue);
if (imagL < 0.00001 && imagL > -0.00001 && realL < -0.00001 && n+EigValStrNumber<EigValNumber) //warunek na wartości własne && żeby nie było ich więcej niż połowa
{
gsl_vector_complex_set(ChosenValues, n+EigValStrNumber, BValue); //wybranie wartości własnej
for (int j = half, m=0; j < dimension; j++, m++)
{
gsl_matrix_complex_set(ChosenVectors, m, n+EigValStrNumber, gsl_complex_mul_real(gsl_matrix_complex_get(BasisEigenVec, j, i), -1)); //wybranie drugiej połowy wektora własnego
}
n++;
}
}
}
//wyznacznik warunków brzegowych - konstrukcja
/*
S, S' - numerujš transformaty tensora sprężystoœci
i - numeruje wektory własne A w pętli dla G
j - numeruje warunki brzegowe dla kolejnych wektorow odwrotnych G
k - numeruje wektory własne A w pętli dla G'
L - numeruje wartoœci własne
*/
for (int Nx=-RecVec, S=0, S_prim=0, i=0, j=0; Nx <= RecVec; Nx++) {
for (int Ny=-RecVec; Ny <= RecVec; Ny++, j=j+9, i=i+3) {
for (int L=0; L < EigValNumber; L++) {
S_prim = S;
for (int Nx_prim=-RecVec, k=0; Nx_prim <= RecVec; Nx_prim++) {
for (int Ny_prim=-RecVec; Ny_prim <= RecVec; Ny_prim++, S_prim++, k=k+3) {
double StrElasticity[6][6];
itsRecStructureSubstance[S_prim].getElasticity(StrElasticity);
double BasisElasticity[6][6];
itsRecBasisSubstance[S_prim].getElasticity(BasisElasticity);
double gx_prim=2*M_PI*Nx_prim/a;
double gy_prim=2*M_PI*Ny_prim/a;
if (L < EigValStrNumber)
{
//eksponens
gsl_complex exponent = gsl_complex_polar(exp(GSL_IMAG(gsl_vector_complex_get(ChosenValues, L))*thickness), -1*GSL_REAL(gsl_vector_complex_get(ChosenValues, L))*thickness);
//warunki zerowania się naprężenia na powierzchni
gsl_complex w1 = gsl_complex_mul_real(exponent, StrElasticity[3][3]);
gsl_complex w2 = gsl_complex_mul_real(gsl_matrix_complex_get(ChosenVectors, k+2, L), (kx+gx_prim));
gsl_complex w3 = gsl_complex_mul(gsl_vector_complex_get(ChosenValues, L), gsl_matrix_complex_get(ChosenVectors, k, L));
gsl_complex BCjL = gsl_complex_add(gsl_complex_mul(gsl_complex_add(w2, w3), w1), gsl_matrix_complex_get(Boundaries, j, L));
gsl_matrix_complex_set(Boundaries, j, L, BCjL);
w1 = gsl_complex_mul_real(exponent, StrElasticity[3][3]);
w2 = gsl_complex_mul_real(gsl_matrix_complex_get(ChosenVectors, k+2, L), (ky+gy_prim));
w3 = gsl_complex_mul(gsl_vector_complex_get(ChosenValues, L), gsl_matrix_complex_get(ChosenVectors, k+1, L));
BCjL = gsl_complex_add(gsl_complex_mul(gsl_complex_add(w2, w3), w1), gsl_matrix_complex_get(Boundaries, j+1, L));
gsl_matrix_complex_set(Boundaries, j+1, L, BCjL);
w1 = gsl_complex_mul_real(exponent, StrElasticity[0][0]);
gsl_complex w11 = gsl_complex_mul_real(exponent, StrElasticity[0][1]);
w2 = gsl_complex_mul_real(gsl_matrix_complex_get(ChosenVectors, k, L), (kx+gx_prim));
gsl_complex w22 = gsl_complex_mul_real(gsl_matrix_complex_get(ChosenVectors, k+1, L), (ky+gy_prim));
w3 = gsl_complex_mul(gsl_vector_complex_get(ChosenValues, L), gsl_matrix_complex_get(ChosenVectors, k+2, L));
gsl_complex w4 = gsl_complex_add(gsl_complex_mul(gsl_complex_add(w2, w22), w11), gsl_complex_mul(w3, w1));
BCjL = gsl_complex_add(w4, gsl_matrix_complex_get(Boundaries, j+2, L));
gsl_matrix_complex_set(Boundaries, j+2, L, BCjL);
//warunki równości naprężeń na granicy ośrodków - część dla struktury
w2 = gsl_complex_mul_real(gsl_matrix_complex_get(ChosenVectors, k+2, L), (kx+gx_prim));
w3 = gsl_complex_mul(gsl_vector_complex_get(ChosenValues, L), gsl_matrix_complex_get(ChosenVectors, k, L));
BCjL = gsl_complex_add(gsl_complex_mul_real(gsl_complex_add(w2, w3), StrElasticity[3][3]), gsl_matrix_complex_get(Boundaries, j+3, L));
gsl_matrix_complex_set(Boundaries, j+3, L, BCjL);
w2 = gsl_complex_mul_real(gsl_matrix_complex_get(ChosenVectors, k+2, L), (ky+gy_prim));
w3 = gsl_complex_mul(gsl_vector_complex_get(ChosenValues, L), gsl_matrix_complex_get(ChosenVectors, k+1, L));
BCjL = gsl_complex_add(gsl_complex_mul_real(gsl_complex_add(w2, w3), StrElasticity[3][3]), gsl_matrix_complex_get(Boundaries, j+4, L));
gsl_matrix_complex_set(Boundaries, j+4, L, BCjL);
w2 = gsl_complex_mul_real(gsl_matrix_complex_get(ChosenVectors, k, L), (kx+gx_prim));
w22 = gsl_complex_mul_real(gsl_matrix_complex_get(ChosenVectors, k+1, L), (ky+gy_prim));
w3 = gsl_complex_mul(gsl_vector_complex_get(ChosenValues, L), gsl_matrix_complex_get(ChosenVectors, k+2, L));
w4 = gsl_complex_add(gsl_complex_mul_real(gsl_complex_add(w2, w22), StrElasticity[0][1]), gsl_complex_mul_real(w3, StrElasticity[0][0]));
BCjL = gsl_complex_add(w4, gsl_matrix_complex_get(Boundaries, j+5, L));
gsl_matrix_complex_set(Boundaries, j+5, L, BCjL);
} else {
//warunki równości naprężeń na granicy ośrodków - część dla podłoża
gsl_complex w2 = gsl_complex_mul_real(gsl_matrix_complex_get(ChosenVectors, k+2, L), (kx+gx_prim));
gsl_complex w3 = gsl_complex_mul(gsl_vector_complex_get(ChosenValues, L), gsl_matrix_complex_get(ChosenVectors, k, L));
gsl_complex BCjL = gsl_complex_add(gsl_complex_mul_real(gsl_complex_add(w2, w3), BasisElasticity[3][3]), gsl_matrix_complex_get(Boundaries, j+3, L));
gsl_matrix_complex_set(Boundaries, j+3, L, BCjL);
w2 = gsl_complex_mul_real(gsl_matrix_complex_get(ChosenVectors, k+2, L), (ky+gy_prim));
w3 = gsl_complex_mul(gsl_vector_complex_get(ChosenValues, L), gsl_matrix_complex_get(ChosenVectors, k+1, L));
BCjL = gsl_complex_add(gsl_complex_mul_real(gsl_complex_add(w2, w3), BasisElasticity[3][3]), gsl_matrix_complex_get(Boundaries, j+4, L));
gsl_matrix_complex_set(Boundaries, j+4, L, BCjL);
w2 = gsl_complex_mul_real(gsl_matrix_complex_get(ChosenVectors, k, L), (kx+gx_prim));
gsl_complex w22 = gsl_complex_mul_real(gsl_matrix_complex_get(ChosenVectors, k+1, L), (ky+gy_prim));
w3 = gsl_complex_mul(gsl_vector_complex_get(ChosenValues, L), gsl_matrix_complex_get(ChosenVectors, k+2, L));
gsl_complex w4 = gsl_complex_add(gsl_complex_mul_real(gsl_complex_add(w2, w22), BasisElasticity[0][1]), gsl_complex_mul_real(w3, BasisElasticity[0][0]));
BCjL = gsl_complex_add(w4, gsl_matrix_complex_get(Boundaries, j+5, L));
gsl_matrix_complex_set(Boundaries, j+5, L, BCjL);
}
}
}
// warunek równości wychyleń na granicy ośrodków
gsl_matrix_complex_set(Boundaries, j+6, L, gsl_matrix_complex_get(ChosenVectors, i, L));
gsl_matrix_complex_set(Boundaries, j+7, L, gsl_matrix_complex_get(ChosenVectors, i+1, L));
gsl_matrix_complex_set(Boundaries, j+8, L, gsl_matrix_complex_get(ChosenVectors, i+2, L));
}
S=S_prim;
}
}
//skalowanie macierzy Boundaries
gsl_complex scale=gsl_complex_rect(pow(10, factor), 0);
gsl_matrix_complex_scale(Boundaries, scale);
//obliczenie wyznacznika z Boundaries
gsl_permutation *Bpermutation = gsl_permutation_alloc(EigValNumber);
int Bsignum;
gsl_linalg_complex_LU_decomp(Boundaries, Bpermutation, &Bsignum);
double DetVal = gsl_linalg_complex_LU_lndet(Boundaries);
//usuwanie NaN
if(DetVal != DetVal) DetVal = 0;
//zapisanie wartości do pliku
plik << k_zred << "\t" << w << "\t" << DetVal << "\n";
}
plik << "\n";
}
}
plik.close();
gsl_matrix_free(gammaA);
gsl_matrix_free(gammaB);
gsl_vector_free(BBeta);
gsl_vector_free(StrBeta);
gsl_matrix_free(gammaC);
gsl_matrix_free(gammaD);
gsl_vector_complex_free(StrAlpha);
gsl_vector_complex_free(BAlpha);
gsl_eigen_genv_free(wspce);
gsl_eigen_genv_free(wspce2);
gsl_matrix_complex_free(Boundaries);
gsl_matrix_complex_free(ChosenVectors);
gsl_vector_complex_free(ChosenValues);
}
PetscErrorCode cHamiltonianMatrix::measurement(){
double *ALLdepart = new double[Nt];
double *ALLentropy = new double[Nt];
gsl_matrix* density1 = gsl_matrix_alloc(L,Nt);//background fermion density
gsl_matrix* density2 = gsl_matrix_alloc(L,Nt);//background fermion density
gsl_vector* corr12 = gsl_vector_alloc(Nt);//correlation betwen fermion up and down.
// The density correlation is in fact proportional to the interacting energy.
double var_rank;
PetscScalar var_tmp, var_tmp2;
gsl_complex var_tmp_gsl;
Vec vectort;
VecScatter ctx;
ofstream output;
VecScatterCreateToZero(WFt[0],&ctx,&vectort);
if(rank==0) cout << size << endl;
gsl_matrix_complex* RDM = gsl_matrix_complex_alloc(dim2,dim2);
gsl_vector *eval_RDM = gsl_vector_alloc(dim2);
gsl_eigen_herm_workspace* w_RDM = gsl_eigen_herm_alloc(dim2);
for (int itime = 0; itime < Nt; ++itime) {
if (rank==0&&itime%10==0) cout << "this is time " << itime << endl;
// % ## departure ##
var_rank = 0.0;
for (int ivar = rstart; ivar < rend; ++ivar) {
ierr = VecGetValues(WFt[itime],1,&ivar,&var_tmp);CHKERRQ(ierr);
var_rank += pow(gsl_vector_get(rr,ivar)*PetscAbsComplex(var_tmp),2);
}
MPI_Reduce(&var_rank, &(ALLdepart[itime]), 1, MPI_DOUBLE, MPI_SUM, 0, PETSC_COMM_WORLD);
ALLdepart[itime] = sqrt(ALLdepart[itime]);
// % ## entropy ##
VecScatterBegin(ctx,WFt[itime],vectort,INSERT_VALUES,SCATTER_FORWARD);
VecScatterEnd(ctx,WFt[itime],vectort,INSERT_VALUES,SCATTER_FORWARD);
if(rank==0) {
int ivar;double eigen_RDM;
gsl_matrix_complex_set_zero(RDM);
for (int row2 = 0; row2 < dim2; ++row2) {
for (int col2 = row2; col2 < dim2; ++col2) {
var_tmp_gsl.dat[0] = 0.0; var_tmp_gsl.dat[1] = 0.0;
for (int jjj = 0; jjj < dim; ++jjj) {
ivar = row2*dim+jjj;
ierr = VecGetValues(vectort,1,&ivar,&var_tmp);CHKERRQ(ierr);
ivar = col2*dim+jjj;
ierr = VecGetValues(vectort,1,&ivar,&var_tmp2);CHKERRQ(ierr);
var_tmp_gsl.dat[0] += PetscRealPart(var_tmp*PetscConj(var_tmp2));
var_tmp_gsl.dat[1] += PetscImaginaryPart(var_tmp*PetscConj(var_tmp2));
}
gsl_matrix_complex_set(RDM,row2,col2,var_tmp_gsl);
if (col2 != row2) {
gsl_matrix_complex_set(RDM,col2,row2,gsl_matrix_complex_get(RDM,row2,col2));
}
}
}
gsl_eigen_herm(RDM,eval_RDM,w_RDM);
ALLentropy[itime] = 0;
for (ivar = 0; ivar < dim2; ++ivar) {
eigen_RDM = gsl_vector_get(eval_RDM, ivar);
// cout << eigen_RDM << endl;
ALLentropy[itime] += -eigen_RDM*log(eigen_RDM);
}
}
// % ## density distribution of impurity fermion
if(rank==0) {
int ivar;
for (int row2 = 0; row2 < dim2; ++row2) {
for (int jpar = 0; jpar < N2; ++jpar) {
double density_tmp=0;
for (int jjj = 0; jjj < dim; ++jjj) {
ivar = row2*dim+jjj;
ierr = VecGetValues(vectort,1,&ivar,&var_tmp);CHKERRQ(ierr);
density_tmp +=pow(PetscAbsComplex(var_tmp),2);
}
/*if (itime==0) {
if (rank==0) cout << "density_tmp=" << density_tmp << endl;
}*/
gsl_matrix_set(density2,gsl_matrix_get(basis2,jpar,row2)-1,itime,gsl_matrix_get(density2,gsl_matrix_get(basis2,jpar,row2)-1,itime)+density_tmp);
}
}
}
/*if (rank==0) {
cout << "density of impurity:" << endl;
for (int jpar =0; jpar < L; ++jpar) {
cout << gsl_matrix_get(density2,jpar,itime) << "\t";
}
cout << endl;
}*/
// % ## density distribution of majority fermions
if(rank==0) {
int ivar;
for (int jjj = 0; jjj < dim; ++jjj) {
for (int jpar = 0; jpar < N; ++jpar) {
double density_tmp=0;
for (int row2 = 0; row2 < dim2; ++row2) {
ivar = row2*dim+jjj;
ierr = VecGetValues(vectort,1,&ivar,&var_tmp);CHKERRQ(ierr);
density_tmp +=pow(PetscAbsComplex(var_tmp),2);
}
gsl_matrix_set(density1,gsl_matrix_get(basis1,jpar,jjj)-1,itime,gsl_matrix_get(density1,gsl_matrix_get(basis1,jpar,jjj)-1,itime)+density_tmp);
}
}
}
// correlation between impurity and majority fermion
if(rank==0) {
int ivar;
double corr_tmp=0;
for (int jimp=0; jimp<dim2; ++jimp) {
for (int jmaj=0; jmaj<dim; ++jmaj) {
for (int jpar=0; jpar<N; ++jpar) {
if (gsl_matrix_get(basis1,jpar,jmaj)==jimp+1){
ivar = jimp*dim+jmaj;
ierr = VecGetValues(vectort,1,&ivar,&var_tmp);CHKERRQ(ierr);
corr_tmp+=pow(PetscAbsComplex(var_tmp),2);
}
}
}
}
gsl_vector_set(corr12,itime,corr_tmp);
}// end of correlation
}
if (rank == 0) {
char filename[50];
sprintf(filename,"measurement.data");
output.open(filename);
output.is_open();
output.precision(16);
for (int itime = 0; itime < Nt; ++itime) {
if (itime==0) {
// cout << "time t[1] " << '\t' << "departure[2] " << '\t' << "entropy[3]" << '\t' << "density of majority [L]" <<'\t' << "density of impurity [L]" << endl;
}
output << dt*itime-3 << '\t' << ALLdepart[itime] << '\t' << ALLentropy[itime] << '\t';
for (int jpar = 0; jpar < L; ++jpar) {
output << gsl_matrix_get(density1,jpar,itime) << '\t';
}
for (int jpar = 0; jpar < L; ++jpar) {
output << gsl_matrix_get(density2,jpar,itime) << '\t';
}
output << gsl_vector_get(corr12,itime) << '\t';
output << endl;
}
output.close();
}
// CopyFile(source,destination,FALSE);
delete[] ALLdepart;
VecScatterDestroy(&ctx);
VecDestroy(&vectort);
gsl_matrix_complex_free(RDM);
gsl_vector_free(eval_RDM);
gsl_eigen_herm_free(w_RDM);
gsl_matrix_free(density1);
gsl_matrix_free(density2);
gsl_vector_free(corr12);
// CopyFile(source,destination,FALSE);
return ierr;
}
void MCPMPCoeffs::Run() {
gsl_complex z = gsl_complex_rect(0,0);
gsl_complex o = gsl_complex_rect(1,0);
// MODEL 1
// Single GeoInit
// Multiple Update Positions every GeoUpdateInterval
//
if (runCount++ % GEO_UPDATE_INTERVAL == 0) {
// uncomment for time continuous model
//GeoUpdate(OFDM_SYMBOL_TIME_US * GEO_UPDATE_INTERVAL * 1.0e-6);
// uncomment for snapshot model
GeoInit();
SpatialChannelUpdate();
if (geoRenderEnabled)
GeoRender();
//cout << "Updating node positions." << endl;
//gsl_matrix_show(pathLoss);
}
//
//
// CHANNEL MODEL BASED ON
// CAI AND GIANNAKIS: 2D CHANNEL SIMULATION MODEL FOR SHADOWING PROCESSES
// IEEE Trans Veh Tech Vol 52, No. 6, Nov. 2003
//
//
//
// Exponentially decaying power profile
//
//
gsl_matrix_complex_set_all(ch,z);
gsl_complex chcoeff;
// cout << "MODIFIED CHANNEL !!!!!!!!!!!!!!!!" << endl;
for (int i=0; i<_M; i++) { // user i (tx)
for (int ii=0;ii<_M;ii++) { // user ii (rx)
double plgain = gain * gsl_matrix_get(pathLoss,i,ii);
for (int j=0; j<L(); j++) { // tap j
double coeffstd=plgain*exp(-j/PTau())/sqrt(2.0);
if (j==0) { // if this is the first tab
chcoeff = gsl_complex_rect( gsl_ran_gaussian(ran,coeffstd) + coeffstd * gainrice,
gsl_ran_gaussian(ran,coeffstd));
//chcoeff = o;
} else { // this is not the first tap
chcoeff = gsl_complex_rect( gsl_ran_gaussian(ran,coeffstd),
gsl_ran_gaussian(ran,coeffstd));
} // if
gsl_matrix_complex_set(ch,i*_M+ii,j,chcoeff);
} // j loop
} // ii loop
} // i loop
//} // if (runCount++ % GEO_UPDATE_INTERVAL == 0)
// cout << "channel:" << endl;
// gsl_matrix_complex_show(ch);
//////// production of data
mout1.DeliverDataObj( *ch );
}
void MBlockUser::Run() {
//
// Allocation Matrices
//
gsl_matrix_uint signature_frequencies=min2.GetDataObj();
gsl_matrix signature_powers=min3.GetDataObj();
//
// input bits
//
gsl_matrix_uint inputbits = min1.GetDataObj();
//
// outer loop: the users
//
for (int u=0;u<M();u++) {
gsl_vector_complex_view tmpout = gsl_matrix_complex_column(outmat,u);
//
//
// FETCH K INPUT SYMBOLS
//
//
for (int j=0;j<K();j++) {
symbol_id=0;
//////// I take Nb bits from input and map it in new_symbol
for (int i=0;i<Nb();i++) {
symbol_id = (symbol_id << 1);
// symbol_id += in1.GetDataObj();
symbol_id += gsl_matrix_uint_get(&inputbits,u,j*Nb()+i);
}
new_symbol = gsl_complex_polar(1.0,
symbol_arg *
double(gsl_vector_uint_get(gray_encoding,
symbol_id)));
gsl_vector_complex_set(tmp,j,new_symbol);
}
//
//
// SELECTION MATRIX UPDATE and POWER
//
//
// gsl_matrix_complex_set_identity(selection_mat);
gsl_matrix_complex_set_zero(selection_mat);
for (int i=0;i<J(); i++) {
unsigned int carrier=gsl_matrix_uint_get(&signature_frequencies,u,i);
double power=gsl_matrix_get(&signature_powers,u,i);
gsl_complex one=gsl_complex_polar(power,0.0);
gsl_matrix_complex_set(selection_mat,carrier,i,one);
}
//
//
// PRECODING MATRIX UPDATE
//
//
#ifdef GIANNAKIS_PRECODING
double roarg=2.0*double(M_PI/N());
for (int i=0;i<J(); i++) {
unsigned int carrier=gsl_matrix_uint_get(&signature_frequencies,u,i);
for (int j=0; j<K(); j++) {
gsl_complex ro=gsl_complex_polar(sqrt(1.0/double(J())),-j*carrier*roarg);
gsl_matrix_complex_set(coding_mat,i,j,ro);
}
}
#else
double roarg=2.0*double(M_PI/J());
for (int i=0;i<J(); i++) {
for (int j=0; j<K(); j++) {
gsl_complex ro=gsl_complex_polar(sqrt(1.0/double(J())),-j*i*roarg);
gsl_matrix_complex_set(coding_mat,i,j,ro);
}
}
#endif
#ifdef SHOW_MATRIX
cout << endl << BlockName << " user: "******"coding matrix (theta) = " << endl;
gsl_matrix_complex_show(coding_mat);
cout << "T^h*T matrix = " << endl;
gsl_matrix_complex_show(THT);
cout << "T^h*T trace = "
<< GSL_REAL(trace)
<< ", "
<< GSL_IMAG(trace)
<< endl;
gsl_matrix_complex_free(THT);
#endif
//
//
// PRECODING
//
//
gsl_blas_zgemv(CblasNoTrans,
gsl_complex_rect(1.0,0),
coding_mat,
tmp,
gsl_complex_rect(0,0),
tmp1);
//
//
// CARRIER SELECTION
//
//
gsl_blas_zgemv(CblasNoTrans,
gsl_complex_rect(1.0,0),
selection_mat,
tmp1,
gsl_complex_rect(0,0),
tmp2);
//
//
// IFFT TRANSFORM
//
//
gsl_blas_zgemv(CblasNoTrans,
gsl_complex_rect(1.0,0),
transform_mat,
tmp2,
gsl_complex_rect(0,0),
&tmpout.vector);
// cout << "\n\n symbols (user " << u << ") = " << endl;
// gsl_vector_complex_fprintf(stdout,tmp,"%f");
#ifdef SHOW_MATRIX
cout << "\n\n symbols (user " << u << ") = " << endl;
gsl_vector_complex_fprintf(stdout,tmp,"%f");
cout << "\n\n precoded = " << endl;
gsl_vector_complex_fprintf(stdout,tmp1,"%f");
cout << "\n\n precoded selected = " << endl;
gsl_vector_complex_fprintf(stdout,tmp2,"%f");
cout << "\n\n precoded selected transformed = " << endl;
gsl_vector_complex_fprintf(stdout,&tmpout.vector,"%f");
#endif
} // close user loop
mout1.DeliverDataObj(*outmat);
}
static void define_lambda(VALUE module)
{
gsl_complex z1, zm1, zi, zmi;
size_t i;
char name[8];
double sqrt3 = sqrt(3.0);
z1.dat[0] = 1; z1.dat[1] = 0;
zm1.dat[0] = -1; zm1.dat[1] = 0;
zi.dat[0] = 0; zi.dat[1] = 1;
zmi.dat[0] = 0; zmi.dat[1] = -1;
for (i = 0; i < 8; i++) {
Lambda[i] = gsl_matrix_complex_calloc(3, 3);
VLambda[i] = Data_Wrap_Struct(cLambda, 0,
gsl_matrix_complex_free, Lambda[i]);
sprintf(name, "Lambda%d", (int) i+1);
rb_define_const(module, name, VLambda[i]);
}
gsl_matrix_complex_set(Lambda[0], 0, 1, z1);
gsl_matrix_complex_set(Lambda[0], 1, 0, z1);
gsl_matrix_complex_set(Lambda[1], 0, 1, zmi);
gsl_matrix_complex_set(Lambda[1], 1, 0, zi);
gsl_matrix_complex_set(Lambda[2], 0, 0, z1);
gsl_matrix_complex_set(Lambda[2], 1, 1, zm1);
gsl_matrix_complex_set(Lambda[3], 0, 2, z1);
gsl_matrix_complex_set(Lambda[3], 2, 0, z1);
gsl_matrix_complex_set(Lambda[4], 0, 2, zmi);
gsl_matrix_complex_set(Lambda[4], 2, 0, zi);
gsl_matrix_complex_set(Lambda[5], 1, 2, z1);
gsl_matrix_complex_set(Lambda[5], 2, 1, z1);
gsl_matrix_complex_set(Lambda[6], 1, 2, zmi);
gsl_matrix_complex_set(Lambda[6], 2, 1, zi);
gsl_matrix_complex_set(Lambda[7], 0, 0, gsl_complex_mul_real(z1, 1.0/sqrt3));
gsl_matrix_complex_set(Lambda[7], 1, 1, gsl_complex_mul_real(z1, 1.0/sqrt3));
gsl_matrix_complex_set(Lambda[7], 2, 2, gsl_complex_mul_real(z1, -2.0/sqrt3));
}
//
//
// BlockUser
//
//
void MBlockUser::Setup() {
//////// initialization of dynamic data structures
// number of symbols
Ns=(1 << Nb());
/// vector and matrix allocation
gray_encoding = gsl_vector_uint_alloc(Ns);
symbol_arg = 2.0*double(PI/Ns);
count=0;
coding_mat = gsl_matrix_complex_calloc(J(),K());
selection_mat = gsl_matrix_complex_calloc(N(),J());
transform_mat = gsl_matrix_complex_calloc(N(),N());
outmat = gsl_matrix_complex_calloc(N(),M()); // outmat(i,j) = symbol at time i from user j
tmp = gsl_vector_complex_calloc(K());
tmp1 = gsl_vector_complex_calloc(J());
tmp2 = gsl_vector_complex_calloc(N());
// tmpout = gsl_vector_complex_calloc(N()); // tmpout is a view from outmat
//
//
// IFFT MATRIX UNITARY
//
//
double ifftarg=2.0*double(M_PI/N());
double ifftamp=1.0/sqrt(double(N()));
for (int i=0; i<N(); i++)
for (int j=0; j<N(); j++)
gsl_matrix_complex_set(transform_mat,
i,
j,
gsl_complex_polar(ifftamp,ifftarg*i*j) );
//////// rate declaration for ports
// in1.SetRate( Nb()*K()*M() ); // M users K symbols Nb bits
///////// Gray Encoder SetUp
for (unsigned int i=0; i<Ns; i++) {
gsl_vector_uint_set(gray_encoding,i,0);
for (unsigned int k=0; k<Nb(); k++) {
unsigned int t=(1<<k);
unsigned int tt=2*t;
unsigned int ttt= gsl_vector_uint_get(gray_encoding,i)
+ t * (((t+i)/tt) % 2);
gsl_vector_uint_set(gray_encoding,i,ttt);
}
}
}
static void define_eye(VALUE module)
{
gsl_complex z;
Eye2 = gsl_matrix_complex_calloc(2, 2);
VEye2 = Data_Wrap_Struct(cgsl_matrix_complex_const, 0,
gsl_matrix_complex_free, Eye2);
z.dat[0] = 1; z.dat[1] = 0;
gsl_matrix_complex_set(Eye2, 0, 0, z);
gsl_matrix_complex_set(Eye2, 1, 1, z);
rb_define_const(module, "Eye2", VEye2);
Eye4 = gsl_matrix_complex_calloc(4, 4);
VEye4 = Data_Wrap_Struct(cgsl_matrix_complex_const, 0,
gsl_matrix_complex_free, Eye4);
z.dat[0] = 1; z.dat[1] = 0;
gsl_matrix_complex_set(Eye4, 0, 0, z);
gsl_matrix_complex_set(Eye4, 1, 1, z);
gsl_matrix_complex_set(Eye4, 2, 2, z);
gsl_matrix_complex_set(Eye4, 3, 3, z);
rb_define_const(module, "Eye4", VEye4);
IEye2 = gsl_matrix_complex_calloc(2, 2);
VIEye2 = Data_Wrap_Struct(cgsl_matrix_complex_const, 0,
gsl_matrix_complex_free, IEye2);
z.dat[0] = 0; z.dat[1] = 1;
gsl_matrix_complex_set(IEye2, 0, 0, z);
gsl_matrix_complex_set(IEye2, 1, 1, z);
rb_define_const(module, "IEye2", VIEye2);
IEye4 = gsl_matrix_complex_calloc(4, 4);
VIEye4 = Data_Wrap_Struct(cgsl_matrix_complex_const, 0,
gsl_matrix_complex_free, IEye4);
gsl_matrix_complex_set(IEye4, 0, 0, z);
gsl_matrix_complex_set(IEye4, 1, 1, z);
gsl_matrix_complex_set(IEye4, 2, 2, z);
gsl_matrix_complex_set(IEye4, 3, 3, z);
rb_define_const(module, "IEye4", VIEye4);
}
/** ----------------------------------------------------------------------------
* Sort eigenvectors
*/
int
gsl_ext_eigen_sort(gsl_matrix_complex *evec, gsl_vector_complex *eval, int sort_order)
{
gsl_complex z;
gsl_matrix_complex *evec_copy;
gsl_vector_complex *eval_copy;
int *idx_map, i, j, idx_temp;
double p1, p2;
if ((evec->size1 != evec->size2) || (evec->size1 != eval->size))
{
return -1;
}
evec_copy = gsl_matrix_complex_alloc(evec->size1, evec->size2);
eval_copy = gsl_vector_complex_alloc(eval->size);
idx_map = (int *)malloc(sizeof(int) * eval->size);
gsl_matrix_complex_memcpy(evec_copy, evec);
gsl_vector_complex_memcpy(eval_copy, eval);
// calculate new eigenvalue order
for (i = 0; i < eval->size; i++)
{
idx_map[i] = i;
}
for (i = 0; i < eval->size - 1; i++)
{
for (j = i+1; j < eval->size; j++)
{
idx_temp = -1;
if (sort_order == GSL_EXT_EIGEN_SORT_ABS)
{
p1 = gsl_complex_abs(gsl_vector_complex_get(eval, idx_map[i]));
p2 = gsl_complex_abs(gsl_vector_complex_get(eval, idx_map[j]));
if (p1 > p2)
{
idx_temp = idx_map[i];
}
}
if (sort_order == GSL_EXT_EIGEN_SORT_PHASE)
{
p1 = gsl_complex_arg(gsl_vector_complex_get(eval, idx_map[i]));
p2 = gsl_complex_arg(gsl_vector_complex_get(eval, idx_map[j]));
if (p1 > M_PI) p1 -= 2*M_PI;
if (p1 <= -M_PI) p1 += 2*M_PI;
if (p2 > M_PI) p2 -= 2*M_PI;
if (p2 <= -M_PI) p2 += 2*M_PI;
//if (((p2 < p1) && (p1 - p2 < M_PI)) || )
if (p2 < p1)
{
idx_temp = idx_map[i];
}
}
if (idx_temp != -1)
{
// swap
//idx_temp = idx_map[i];
idx_map[i] = idx_map[j];
idx_map[j] = idx_temp;
}
}
}
// reshuffle the eigenvectors and eigenvalues
for (i = 0; i < eval->size; i++)
{
for (j = 0; j < eval->size; j++)
{
z = gsl_matrix_complex_get(evec_copy, idx_map[i], j);
gsl_matrix_complex_set(evec, i, j, z);
//z = gsl_matrix_complex_get(evec_copy, i, idx_map[j]);
//gsl_matrix_complex_set(evec, i, j, z);
}
z = gsl_vector_complex_get(eval_copy, idx_map[i]);
gsl_vector_complex_set(eval, i, z);
}
gsl_matrix_complex_free(evec_copy);
gsl_vector_complex_free(eval_copy);
free(idx_map);
return 0;
}
int
gsl_linalg_complex_LU_decomp (gsl_matrix_complex * A, gsl_permutation * p, int *signum)
{
if (A->size1 != A->size2)
{
GSL_ERROR ("LU decomposition requires square matrix", GSL_ENOTSQR);
}
else if (p->size != A->size1)
{
GSL_ERROR ("permutation length must match matrix size", GSL_EBADLEN);
}
else
{
const size_t N = A->size1;
size_t i, j, k;
*signum = 1;
gsl_permutation_init (p);
for (j = 0; j < N - 1; j++)
{
/* Find maximum in the j-th column */
gsl_complex ajj = gsl_matrix_complex_get (A, j, j);
double max = gsl_complex_abs (ajj);
size_t i_pivot = j;
for (i = j + 1; i < N; i++)
{
gsl_complex aij = gsl_matrix_complex_get (A, i, j);
double ai = gsl_complex_abs (aij);
if (ai > max)
{
max = ai;
i_pivot = i;
}
}
if (i_pivot != j)
{
gsl_matrix_complex_swap_rows (A, j, i_pivot);
gsl_permutation_swap (p, j, i_pivot);
*signum = -(*signum);
}
ajj = gsl_matrix_complex_get (A, j, j);
if (!(GSL_REAL(ajj) == 0.0 && GSL_IMAG(ajj) == 0.0))
{
for (i = j + 1; i < N; i++)
{
gsl_complex aij_orig = gsl_matrix_complex_get (A, i, j);
gsl_complex aij = gsl_complex_div (aij_orig, ajj);
gsl_matrix_complex_set (A, i, j, aij);
for (k = j + 1; k < N; k++)
{
gsl_complex aik = gsl_matrix_complex_get (A, i, k);
gsl_complex ajk = gsl_matrix_complex_get (A, j, k);
/* aik = aik - aij * ajk */
gsl_complex aijajk = gsl_complex_mul (aij, ajk);
gsl_complex aik_new = gsl_complex_sub (aik, aijajk);
gsl_matrix_complex_set (A, i, k, aik_new);
}
}
}
}
return GSL_SUCCESS;
}
}
static bool _convert(CMATRIX *_object, GB_TYPE type, GB_VALUE *conv)
{
if (THIS)
{
if (!COMPLEX(THIS))
{
switch (type)
{
/*case GB_T_FLOAT:
conv->_float.value = gsl_blas_dnrm2(MAT(THIS));
return FALSE;
case GB_T_SINGLE:
conv->_single.value = gsl_blas_dnrm2(MAT(THIS));
return FALSE;
case GB_T_INTEGER:
case GB_T_SHORT:
case GB_T_BYTE:
conv->_integer.value = gsl_blas_dnrm2(MAT(THIS));
return FALSE;
case GB_T_LONG:
conv->_long.value = gsl_blas_dnrm2(MAT(THIS));
return FALSE;*/
case GB_T_STRING:
case GB_T_CSTRING:
conv->_string.value.addr = _to_string(THIS, type == GB_T_CSTRING);
conv->_string.value.start = 0;
conv->_string.value.len = GB.StringLength(conv->_string.value.addr);
return FALSE;
default:
return TRUE;
}
}
else
{
switch (type)
{
/*case GB_T_FLOAT:
conv->_float.value = gsl_blas_dznrm2(CMAT(THIS));
return FALSE;
case GB_T_SINGLE:
conv->_single.value = gsl_blas_dznrm2(CMAT(THIS));
return FALSE;
case GB_T_INTEGER:
case GB_T_SHORT:
case GB_T_BYTE:
conv->_integer.value = gsl_blas_dznrm2(CMAT(THIS));
return FALSE;
case GB_T_LONG:
conv->_long.value = gsl_blas_dznrm2(CMAT(THIS));
return FALSE;*/
case GB_T_STRING:
case GB_T_CSTRING:
conv->_string.value.addr = _to_string(THIS, type == GB_T_CSTRING);
conv->_string.value.start = 0;
conv->_string.value.len = GB.StringLength(conv->_string.value.addr);
return FALSE;
default:
return TRUE;
}
}
}
else if (type >= GB_T_OBJECT)
{
/*if (type == CLASS_Complex)
{
CCOMPLEX *c = (CCOMPLEX *)conv->_object.value;
CMATRIX *m = MATRIX_create(2, 2, FALSE, FALSE);
gsl_matrix_set(MAT(m), 0, 0, GSL_REAL(c->number));
gsl_matrix_set(MAT(m), 1, 1, GSL_REAL(c->number));
gsl_matrix_set(MAT(m), 0, 1, -GSL_IMAG(c->number));
gsl_matrix_set(MAT(m), 1, 0, GSL_IMAG(c->number));
conv->_object.value = m;
return FALSE;
}
else*/ if (GB.Is(conv->_object.value, CLASS_Array))
{
GB_ARRAY array = (GB_ARRAY)conv->_object.value;
GB_ARRAY array2;
int height = GB.Array.Count(array);
int width = 0;
GB_TYPE atype = GB.Array.Type(array);
GB_TYPE atype2;
int i, j, w;
GB_VALUE temp;
void *data;
CMATRIX *m;
CCOMPLEX *c;
bool complex;
if (atype >= GB_T_OBJECT)
{
complex = FALSE;
for (i = 0; i < height; i++)
{
data = GB.Array.Get(array, i);
array2 = *((void **)data);
if (!array2 || !GB.Is(array2, CLASS_Array))
return TRUE;
w = GB.Array.Count(array2);
if (w > width)
width = w;
atype2 = GB.Array.Type(array2);
if (atype2 == GB_T_VARIANT || atype2 == CLASS_Complex)
complex = TRUE;
else if (!(atype2 > GB_T_BOOLEAN && atype2 <= GB_T_FLOAT))
return TRUE;
}
//fprintf(stderr, "create: %d %d %d\n", width, height, complex);
m = MATRIX_create(width, height, complex, TRUE);
for (i = 0; i < height; i++)
{
array2 = *((void **)GB.Array.Get(array, i));
atype2 = GB.Array.Type(array2);
w = GB.Array.Count(array2);
if (atype2 > GB_T_BOOLEAN && atype2 <= GB_T_FLOAT)
{
for (j = 0; j < w; j++)
{
data = GB.Array.Get(array2, j);
GB.ReadValue(&temp, data, atype2);
GB.Conv(&temp, GB_T_FLOAT);
if (complex)
gsl_matrix_complex_set(CMAT(m), i, j, gsl_complex_rect(temp._float.value, 0));
else
gsl_matrix_set(MAT(m), i, j, temp._float.value);
}
}
else if (atype2 == GB_T_VARIANT)
{
for (j = 0; j < w; j++)
{
GB.ReadValue(&temp, GB.Array.Get(array2, j), atype2);
GB.BorrowValue(&temp);
GB.Conv(&temp, CLASS_Complex);
c = temp._object.value;
if (c)
gsl_matrix_complex_set(CMAT(m), i, j, c->number);
else
gsl_matrix_complex_set(CMAT(m), i, j, COMPLEX_zero);
GB.ReleaseValue(&temp);
}
}
else if (atype2 == CLASS_Complex)
{
for (j = 0; j < w; j++)
{
c = *((CCOMPLEX **)GB.Array.Get(array2, j));
if (c)
gsl_matrix_complex_set(CMAT(m), i, j, c->number);
else
gsl_matrix_complex_set(CMAT(m), i, j, COMPLEX_zero);
}
}
}
conv->_object.value = m;
return FALSE;
}
}
}
/*else if (type > GB_T_BOOLEAN && type <= GB_T_FLOAT)
{
CMATRIX *m = MATRIX_create(2, 2, FALSE, TRUE);
double value;
if (type == GB_T_FLOAT)
value = conv->_float.value;
else if (type == GB_T_SINGLE)
value = conv->_single.value;
else
value = conv->_integer.value;
gsl_matrix_set(MAT(m), 0, 0, value);
gsl_matrix_set(MAT(m), 1, 1, value);
conv->_object.value = m;
return FALSE;
}*/
return TRUE;
}
int main(int argc, char *argv[]){
int i,j,k,
c,
N;
int dflag=0,
eflag=0,
gflag=0,
vflag=0,
hflag=0;
float w; /* frec */
//char *lvalue=NULL;
double **M, // XYZ coordinates
dos,
lambda=0;
while((c = getopt (argc, argv, "degvhl:")) != -1){
switch (c){
case 'd':
dflag = 1;
break;
case 'e':
eflag = 1;
break;
case 'g':
gflag = 1;
break;
case 'v':
vflag = 1;
break;
case 'h':
hflag = 1;
break;
case 'l':
lambda = atof(optarg);
break;
}
}
scanf("%d",&N);
M = (double **) malloc (N*sizeof(double *)); // coordinate matrix
// read coordinates (XYZ format file)
for (int i=0; i<N; i++){
char null[5]; // discard element
double *tmp = (double *) malloc (3 * sizeof(double)); // 3 coordinates
scanf("%s%lf%lf%lf", null, &tmp[0], &tmp[1], &tmp[2]);
M[i] = tmp;
// printf("- %.2f %.2f\n",M[i][0], M[i][1]); // DEBUG
}
/* M: coordinate matrix, N: number of atoms, l: spin-orbit parameter (set to 0 to tight-binding)*/
gsl_matrix_complex * Hso = hamiltonian(M, N, lambda);
/* print hamiltonial */
if (hflag){
printComMat(Hso,N*SPIN*ORB);
return 0;
}
/* eigenvalues */
gsl_matrix_complex * evec = gsl_matrix_complex_alloc(N*SPIN*ORB, N*SPIN*ORB);
gsl_vector * eval = gsl_vector_alloc(N*SPIN*ORB);
gsl_eigen_hermv_workspace * ws = gsl_eigen_hermv_alloc(N*SPIN*ORB);
gsl_matrix_complex * A = Hso; // gsl_eigen_hermv() destroys Hso matrix, use a copy instead
gsl_eigen_hermv (A, eval, evec, ws);
gsl_eigen_hermv_sort (eval, evec, GSL_EIGEN_SORT_VAL_ASC);
gsl_eigen_hermv_free(ws);
if (eflag){
for (int i=0; i<N*SPIN*ORB; i++)
printf("%d %.4g \n", i, gsl_vector_get(eval,i));
return 0;
}
if (vflag){
printComMat(evec, N*SPIN*ORB);
return 0;
}
/* calculate DoS
* __ __
* \ \ Hij Hji
* DOS(E) = -imag /_ /_ ----------------
* i j E - En + i*eta
*
* where H is the hamiltonian, and n is the state.
* NOTE: i and j 0-indexed list. i*eta
*/
double eval_min = gsl_vector_min (eval), /* lower bound */
eval_max = gsl_vector_max (eval); /* upper bound */
if (dflag)
for (w = eval_min; w < eval_max; w += 1e-3){
dos = 0;
#pragma omp parallel num_threads(4)
{
int tid = omp_get_thread_num();
#pragma omp for private(i,k) reduction (+:dos)
for (i=0; i<N*SPIN*ORB; i++)
for (k=0; k<N*SPIN*ORB; k++){
gsl_complex h = gsl_matrix_complex_get (Hso, i, k);
double l = gsl_vector_get (eval ,k);
gsl_complex z = gsl_complex_rect(0,5e-3); /* parte imaginaria */
gsl_complex num = gsl_complex_mul(h,gsl_complex_conjugate(h)); /* numerador */
gsl_complex den = gsl_complex_add_real(z, w-l); /* denominador */
gsl_complex g = gsl_complex_div(num,den);
dos += GSL_IMAG(g);
}
if (dflag && tid==0)
printf("%.3g %g \n", w, -dos/PI);
}
}
/* Green's function
*
* <i|n> <n|j>
* Gij(E) = ----------------
* E - En + i*eta
*
* where i and j are atoms, and n is the state.
* NOTE: i and j 0-indexed list.
*/
int list[]={0,1,2,5,6,7}; /* atoms to get conductance */
int NL = (int) sizeof(list)/sizeof(list[0]);
gsl_matrix_complex * G = gsl_matrix_complex_alloc(NL*SPIN*ORB, NL*SPIN*ORB); // Green
if (gflag)
for (double E = eval_min; E < eval_max; E += 1e-3){ // energy
gsl_matrix_complex_set_all(G, GSL_COMPLEX_ZERO); // init
for (int n=0; n<N*SPIN*ORB; n++) // states
for (i=0; i<NL; i++) // atoms
for (j=0; j<NL; j++) // atoms
for (int k0=0; k0<SPIN*ORB; k0++){ // orbitals
for (int k1=0; k1<SPIN*ORB; k1++){ // orbitals
gsl_complex in = gsl_matrix_complex_get (evec, n, list[i]*SPIN*ORB+k0);
gsl_complex nj = gsl_matrix_complex_get (evec, n, list[j]*SPIN*ORB+k1);
double En = gsl_vector_get (eval ,n);
gsl_complex eta = gsl_complex_rect(0,5e-3); /* delta */
gsl_complex num = gsl_complex_mul(in, gsl_complex_conjugate(nj)); /* num */
gsl_complex den = gsl_complex_add_real(eta, E - En); /* den */
gsl_complex Gij = gsl_complex_div(num,den);
gsl_complex tmp = gsl_matrix_complex_get(G, i*SPIN*ORB+k0, j*SPIN*ORB+k1);
gsl_complex sum = gsl_complex_add(tmp, Gij);
gsl_matrix_complex_set(G, i*SPIN*ORB+k0, j*SPIN*ORB+k1, sum);
}
}
dos = 0 ;
for(int i=0; i<NL*SPIN*ORB; i++)
dos += GSL_IMAG( gsl_matrix_complex_get(G, i, i) );
printf("%.3g %g\n", E, -dos/PI);
// printComMat(G, NL*SPIN*ORB);
}
gsl_matrix_complex_free(G);
gsl_vector_free(eval);
gsl_matrix_complex_free(evec);
return 0;
}