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Merge branch 'beyn_pureblas' 

Getting rid of gsl_matrix and gsl_cblas dependencies in the
implementation of Beyn's algorithm. This avoids header clashes between
gsl_cblas.h and cblas.h.
This commit is contained in:
Marek Nečada 2021-06-11 11:12:42 +03:00
parent 7e0d7639e8 9d556e7b23
commit 087cd1cab3
7 changed files with 179 additions and 387 deletions
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400
qpms/beyn.c
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@ -1,8 +1,5 @@
#define STATIC_ASSERT(COND,MSG) typedef char static_assertion_##MSG[(COND)?1:-1]
#define cg2s(x) gsl_complex_tostd(x)
#define cs2g(x) gsl_complex_fromstd(x)
#include <complex.h>
#include <lapacke.h>
#include <stdio.h>
@ -10,30 +7,25 @@
#include <math.h>
#include <time.h>
#include "qpms_error.h"
// Maybe GSL works?
#include <gsl/gsl_matrix.h>
#include <gsl/gsl_complex_math.h>
#include <gsl/gsl_linalg.h>
#include <gsl/gsl_blas.h>
#include <gsl/gsl_eigen.h>
#include <string.h>
#include <cblas.h>
#include "beyn.h"
#define SQ(x) ((x)*(x))
STATIC_ASSERT((sizeof(lapack_complex_double) == sizeof(gsl_complex)), lapack_and_gsl_complex_must_be_consistent);
// matrix access
#define MAT(mat_, n_rows_, n_cols_, i_row_, i_col_) (mat_[(n_cols_) * (i_row_) + (i_col_)])
typedef struct BeynSolver
{
int M; // dimension of matrices
int L; // number of columns of VHat matrix
gsl_vector_complex *eigenvalues, *eigenvalue_errors;
gsl_matrix_complex *eigenvectors;
gsl_matrix_complex *A0, *A1, *A0_coarse, *A1_coarse, *MInvVHat;
gsl_matrix_complex *VHat;
gsl_vector *Sigma, *residuals;
complex double *eigenvalues, *eigenvalue_errors; // [L]
complex double *eigenvectors; // [L][M] (!!!)
complex double *A0, *A1, *A0_coarse, *A1_coarse, *MInvVHat; // [M][L]
complex double *VHat; // [M][L]
double *Sigma, *residuals; // [L]
} BeynSolver;
// constructor, destructor
@ -253,39 +245,40 @@ beyn_contour_t *beyn_contour_kidney(complex double centre, double rRe,
return c;
}
void beyn_result_gsl_free(beyn_result_gsl_t *r) {
void beyn_result_free(beyn_result_t *r) {
if(r) {
gsl_vector_complex_free(r->eigval);
gsl_vector_complex_free(r->eigval_err);
gsl_vector_free(r->residuals);
gsl_matrix_complex_free(r->eigvec);
gsl_vector_free(r->ranktest_SV);
free(r->eigval);
free(r->eigval_err);
free(r->residuals);
free(r->eigvec);
free(r->ranktest_SV);
free(r);
}
}
BeynSolver *BeynSolver_create(int M, int L)
{
BeynSolver *solver= (BeynSolver *)malloc(sizeof(*solver));
BeynSolver *solver;
QPMS_CRASHING_CALLOC(solver, 1, sizeof(*solver));
solver->M = M;
solver->L = L;
QPMS_ENSURE(L <= M, "We expect L <= M, but we got L = %d, M = %d ", L, M);
// storage for eigenvalues and eigenvectors
solver->eigenvalues = gsl_vector_complex_calloc(L);
solver->eigenvalue_errors = gsl_vector_complex_calloc(L);
solver->residuals = gsl_vector_calloc(L);
solver->eigenvectors = gsl_matrix_complex_calloc(L, M);
QPMS_CRASHING_CALLOC(solver->eigenvalues, L, sizeof(complex double));
QPMS_CRASHING_CALLOC(solver->eigenvalue_errors, L, sizeof(complex double));
QPMS_CRASHING_CALLOC(solver->residuals, L, sizeof(double));
QPMS_CRASHING_CALLOC(solver->eigenvectors, L * M, sizeof(complex double));
// storage for singular values, random VHat matrix, etc. used in algorithm
solver->A0 = gsl_matrix_complex_calloc(M,L);
solver->A1 = gsl_matrix_complex_calloc(M,L);
solver->A0_coarse = gsl_matrix_complex_calloc(M,L);
solver->A1_coarse = gsl_matrix_complex_calloc(M,L);
solver->MInvVHat = gsl_matrix_complex_calloc(M,L);
solver->VHat = gsl_matrix_complex_calloc(M,L);
solver->Sigma = gsl_vector_calloc(L);
QPMS_CRASHING_CALLOC(solver->A0, M * L, sizeof(complex double));
QPMS_CRASHING_CALLOC(solver->A1, M * L, sizeof(complex double));
QPMS_CRASHING_CALLOC(solver->A0_coarse, M * L, sizeof(complex double));
QPMS_CRASHING_CALLOC(solver->A1_coarse, M * L, sizeof(complex double));
QPMS_CRASHING_CALLOC(solver->MInvVHat, M * L, sizeof(complex double));
QPMS_CRASHING_CALLOC(solver->VHat, M * L, sizeof(complex double));
QPMS_CRASHING_CALLOC(solver->Sigma, L, sizeof(double));
// Beyn Step 1: Generate random matrix VHat
BeynSolver_srandom(solver,(unsigned)time(NULL));
@ -295,30 +288,30 @@ BeynSolver *BeynSolver_create(int M, int L)
void BeynSolver_free(BeynSolver *solver)
{
gsl_vector_complex_free(solver->eigenvalues);
gsl_vector_complex_free(solver->eigenvalue_errors);
gsl_matrix_complex_free(solver->eigenvectors);
free(solver->eigenvalues);
free(solver->eigenvalue_errors);
free(solver->eigenvectors);
gsl_matrix_complex_free(solver->A0);
gsl_matrix_complex_free(solver->A1);
gsl_matrix_complex_free(solver->A0_coarse);
gsl_matrix_complex_free(solver->A1_coarse);
gsl_matrix_complex_free(solver->MInvVHat);
gsl_vector_free(solver->Sigma);
gsl_vector_free(solver->residuals);
gsl_matrix_complex_free(solver->VHat);
free(solver->A0);
free(solver->A1);
free(solver->A0_coarse);
free(solver->A1_coarse);
free(solver->MInvVHat);
free(solver->Sigma);
free(solver->residuals);
free(solver->VHat);
free(solver);
}
void BeynSolver_free_partial(BeynSolver *solver)
{
gsl_matrix_complex_free(solver->A0);
gsl_matrix_complex_free(solver->A1);
gsl_matrix_complex_free(solver->A0_coarse);
gsl_matrix_complex_free(solver->A1_coarse);
gsl_matrix_complex_free(solver->MInvVHat);
gsl_matrix_complex_free(solver->VHat);
free(solver->A0);
free(solver->A1);
free(solver->A0_coarse);
free(solver->A1_coarse);
free(solver->MInvVHat);
free(solver->VHat);
free(solver);
}
@ -328,11 +321,8 @@ void BeynSolver_srandom(BeynSolver *solver, unsigned int RandSeed)
if (RandSeed==0)
RandSeed=time(0);
srandom(RandSeed);
gsl_matrix_complex *VHat=solver->VHat;
for(int nr=0; nr<VHat->size1; nr++)
for(int nc=0; nc<VHat->size2; nc++)
gsl_matrix_complex_set(VHat,nr,nc,cs2g(zrandN(1, 0)));
for(size_t i = 0; i < solver->M * solver->L; ++i)
solver->VHat[i] = zrandN(1, 0);
}
@ -342,44 +332,42 @@ void BeynSolver_srandom(BeynSolver *solver, unsigned int RandSeed)
* and eigenvectors
*/
static int beyn_process_matrices(BeynSolver *solver, beyn_function_M_gsl_t M_function,
static int beyn_process_matrices(BeynSolver *solver, beyn_function_M_t M_function,
void *Params,
gsl_matrix_complex *A0, gsl_matrix_complex *A1, double complex z0,
gsl_vector_complex *eigenvalues, gsl_matrix_complex *eigenvectors, const double rank_tol, size_t rank_sel_min, const double res_tol)
complex double *A0, complex double *A1, double complex z0,
complex double *eigenvalues, complex double *eigenvectors, const double rank_tol, size_t rank_sel_min, const double res_tol)
{
const size_t m = solver->M;
const size_t l = solver->L;
gsl_vector *Sigma = solver->Sigma;
double *Sigma = solver->Sigma;
int verbose = 1; // TODO
// Beyn Step 3: Compute SVD: A0 = V0_full * Sigma * W0T_full
if(verbose) printf(" Beyn: computing SVD...\n");
gsl_matrix_complex* V0_full = gsl_matrix_complex_alloc(m,l);
gsl_matrix_complex_memcpy(V0_full,A0);
gsl_matrix_complex* W0T_full = gsl_matrix_complex_alloc(l,l);
QPMS_ENSURE(Sigma->stride == 1, "Sigma vector stride must be 1 for LAPACKE_zgesdd, got %zd.", Sigma->stride);
QPMS_ENSURE(V0_full->size1 >= V0_full->size2, "m = %zd, l = %zd, what the hell?");
complex double *V0_full;
QPMS_CRASHING_MALLOCPY(V0_full, A0, m * l * sizeof(complex double));
complex double *W0T_full; QPMS_CRASHING_MALLOC(W0T_full, l * l * sizeof(complex double));
QPMS_ENSURE_SUCCESS(LAPACKE_zgesdd(LAPACK_ROW_MAJOR, // A = U*Σ*conjg(V')
'O' /*jobz, 'O' overwrites a with U and saves conjg(V') in vt if m >= n, i.e. if M >= L, which holds*/,
V0_full->size1 /* m, number of rows */,
V0_full->size2 /* n, number of columns */,
(lapack_complex_double *)(V0_full->data) /*a*/,
V0_full->tda /*lda*/,
Sigma->data /*s*/,
m, // V0_full->size1 /* m, number of rows */,
l, // V0_full->size2 /* n, number of columns */,
V0_full, //(lapack_complex_double *)(V0_full->data) /*a*/,
l, //V0_full->tda /*lda*/,
Sigma, //Sigma->data /*s*/,
NULL /*u; not used*/,
m /*ldu; should not be really used but lapacke requires it for some obscure reason*/,
(lapack_complex_double *)W0T_full->data /*vt*/,
W0T_full->tda /*ldvt*/
W0T_full, //(lapack_complex_double *)W0T_full->data /*vt*/,
l //W0T_full->tda /*ldvt*/
));
// Beyn Step 4: Rank test for Sigma
// compute effective rank K (number of eigenvalue candidates)
int K=0;
for (int k=0; k<Sigma->size /* this is l, actually */; k++) {
if (verbose) printf("Beyn: SV(%d)=%e\n",k,gsl_vector_get(Sigma, k));
if (k < rank_sel_min || gsl_vector_get(Sigma, k) > rank_tol)
for (int k=0; k < l/* k<Sigma->size*/ /* this is l, actually */; k++) {
if (verbose) printf("Beyn: SV(%d)=%e\n",k, Sigma[k] );
if (k < rank_sel_min || Sigma[k] > rank_tol)
K++;
}
if (verbose)printf(" Beyn: %d/%zd relevant singular values\n",K,l);
@ -390,48 +378,47 @@ static int beyn_process_matrices(BeynSolver *solver, beyn_function_M_gsl_t M_fun
// Beyn step 5: B = V0' * A1 * W0 * Sigma^-1
// set V0, W0T = matrices of first K right, left singular vectors
gsl_matrix_complex *V0 = gsl_matrix_complex_alloc(m,K);
gsl_matrix_complex *W0T= gsl_matrix_complex_alloc(K,l);
complex double *V0, *W0T;
QPMS_CRASHING_MALLOC(V0, m * K * sizeof(complex double));
QPMS_CRASHING_MALLOC(W0T, K * l * sizeof(complex double));
// TODO this is stupid, some parts could be handled simply by realloc.
for (int k = 0; k < K; ++k) {
gsl_vector_complex_view tmp;
tmp = gsl_matrix_complex_column(V0_full, k);
gsl_matrix_complex_set_col(V0, k, &(tmp.vector));
tmp = gsl_matrix_complex_row(W0T_full, k);
gsl_matrix_complex_set_row(W0T, k, &(tmp.vector));
for(int i = 0; i < m; ++i)
MAT(V0, m, K, i, k) = MAT(V0_full, m, l, i, k);
for(int j = 0; j < l; ++j)
MAT(W0T, K, l, k, j) = MAT(W0T_full, l, l, k, j);
}
free(V0_full);
free(W0T_full);
gsl_matrix_complex_free(V0_full);
gsl_matrix_complex_free(W0T_full);
gsl_matrix_complex *TM2 = gsl_matrix_complex_calloc(K,l);
gsl_matrix_complex *B = gsl_matrix_complex_calloc(K,K);
complex double *TM2, *B;
QPMS_CRASHING_CALLOC(TM2, K * l, sizeof(complex double));
QPMS_CRASHING_CALLOC(B, K * K, sizeof(complex double));
if(verbose) printf(" Multiplying V0*A1->TM...\n");
const gsl_complex one = gsl_complex_rect(1,0);
const gsl_complex zero = gsl_complex_rect(0,0);
gsl_blas_zgemm(CblasConjTrans, CblasNoTrans, one,
V0, A1, zero, TM2);
// dims: V0[m,K], A1[m,l], TM2[K,l]
const complex double one = 1, zero = 0;
cblas_zgemm(CblasRowMajor, CblasConjTrans, CblasNoTrans, K, l, m,
&one, V0, K, A1, l, &zero, TM2, l);
if(verbose) printf(" Multiplying TM*W0T->B...\n");
gsl_blas_zgemm(CblasNoTrans, CblasConjTrans, one,
TM2, W0T, zero, B);
// TM2, W0T, zero, B);
// DIMS: TM2[K,l], W0T[K,l], B[K,K]
cblas_zgemm(CblasRowMajor, CblasNoTrans, CblasConjTrans, K, K, l,
&one, TM2, l, W0T, l, &zero, B, K);
gsl_matrix_complex_free(W0T);
gsl_matrix_complex_free(TM2);
free(W0T);
free(TM2);
if(verbose) printf(" Scaling B <- B*Sigma^{-1}\n");
gsl_vector_complex *tmp = gsl_vector_complex_calloc(K);
for(int i = 0; i < K; i++) {
gsl_matrix_complex_get_col(tmp, B, i);
gsl_vector_complex_scale(tmp, gsl_complex_rect(1.0/gsl_vector_get(Sigma,i), 0));
gsl_matrix_complex_set_col(B,i,tmp);
for(int j = 0; j < K; j++)
MAT(B, K, K, j, i) /= Sigma[i];
}
gsl_vector_complex_free(tmp);
//for(int m=0; m<K; m++) // B <- B * Sigma^{-1}
// Beyn step 6.
// Eigenvalue decomposition B -> S*Lambda*S'
@ -444,95 +431,102 @@ static int beyn_process_matrices(BeynSolver *solver, beyn_function_M_gsl_t M_fun
*/
if(verbose) printf(" Eigensolving (%i,%i)\n",K,K);
gsl_vector_complex *Lambda = gsl_vector_complex_alloc(K); // eigenvalues
gsl_matrix_complex *S = gsl_matrix_complex_alloc(K,K); // eigenvectors
complex double *Lambda /* eigenvalues */ , *S /* eigenvector */;
QPMS_CRASHING_MALLOC(Lambda, K * sizeof(complex double));
QPMS_CRASHING_MALLOC(S, K * K * sizeof(complex double));
QPMS_ENSURE(Sigma->stride == 1, "Sigma vector stride must be 1 for LAPACKE_zgesdd, got %zd.", Sigma->stride);
QPMS_ENSURE(Lambda->stride == 1, "Lambda vector stride must be 1 for LAPACKE_zgesdd, got %zd.", Sigma->stride);
// dims: B[K,K], S[K,K], Lambda[K]
QPMS_ENSURE_SUCCESS(LAPACKE_zgeev(
LAPACK_ROW_MAJOR,
'N' /* jobvl; don't compute left eigenvectors */,
'V' /* jobvr; do compute right eigenvectors */,
K /* n */,
(lapack_complex_double *)(B->data) /* a */,
B->tda /* lda */,
(lapack_complex_double *) Lambda->data /* w */,
B, //(lapack_complex_double *)(B->data) /* a */,
K, //B->tda /* lda */,
Lambda, //(lapack_complex_double *) Lambda->data /* w */,
NULL /* vl */,
m /* ldvl, not used by for some reason needed */,
(lapack_complex_double *)(S->data)/* vr */,
S->tda/* ldvr */
m /* ldvl, not used but for some reason needed */,
S, //(lapack_complex_double *)(S->data)/* vr */,
K //S->tda/* ldvr */
));
gsl_matrix_complex_free(B);
free(B);
// V0S <- V0*S
printf("Multiplying V0*S...\n");
gsl_matrix_complex *V0S = gsl_matrix_complex_alloc(m, K);
QPMS_ENSURE_SUCCESS(gsl_blas_zgemm(CblasNoTrans, CblasNoTrans,
one, V0, S, zero, V0S));
complex double *V0S;
QPMS_CRASHING_MALLOC(V0S, m * K * sizeof(complex double));
// dims: V0[m,K], S[K,K], V0S[m,K]
cblas_zgemm(CblasRowMajor, CblasNoTrans, CblasNoTrans, m, K, K,
&one, V0, K, S, K, &zero, V0S, K);
gsl_matrix_complex_free(V0);
free(V0);
// FIXME!!! make clear relation between KRetained and K in the results!
// (If they differ, there are possibly some spurious eigenvalues.)
int KRetained = 0;
gsl_matrix_complex *Mmat = gsl_matrix_complex_alloc(m, m);
gsl_vector_complex *MVk = gsl_vector_complex_alloc(m);
complex double *Mmat, *MVk;
QPMS_CRASHING_MALLOC(Mmat, m * m * sizeof(complex double));
QPMS_CRASHING_MALLOC(MVk, m * sizeof(complex double));
for (int k = 0; k < K; ++k) {
const gsl_complex zgsl = gsl_complex_add(gsl_complex_rect(creal(z0), cimag(z0)), gsl_vector_complex_get(Lambda, k));
const complex double z = GSL_REAL(zgsl) + I*GSL_IMAG(zgsl);
gsl_vector_complex_const_view Vk = gsl_matrix_complex_const_column(V0S, k);
const complex double z = z0 + Lambda[k];
double residual = 0;
if(res_tol > 0) {
QPMS_ENSURE_SUCCESS(M_function(Mmat, z, Params));
QPMS_ENSURE_SUCCESS(gsl_blas_zgemv(CblasNoTrans, one, Mmat, &(Vk.vector), zero, MVk));
residual = gsl_blas_dznrm2(MVk);
QPMS_ENSURE_SUCCESS(M_function(Mmat, m, z, Params));
// Vk[i] == V0S[i, k]; dims: Mmat[m,m], Vk[m] (V0S[m, K]), MVk[m]
cblas_zgemv(CblasRowMajor, CblasNoTrans, m, m,
&one, Mmat, m, &MAT(V0S, m, K, 0, k), K /* stride of Vk in V0S */,
&zero, MVk, 1);
residual = cblas_dznrm2(m, MVk, 1);
if (verbose) printf("Beyn: Residual(%i)=%e\n",k,residual);
}
if (res_tol > 0 && residual > res_tol) continue;
gsl_vector_complex_set(eigenvalues, KRetained, zgsl);
eigenvalues[KRetained] = z;
if(eigenvectors) {
gsl_matrix_complex_set_row(eigenvectors, KRetained, &(Vk.vector));
gsl_vector_set(solver->residuals, KRetained, residual);
for(int j = 0; j < m; ++j)
MAT(eigenvectors, l, m, KRetained, j) = MAT(V0S, m, K, j, k);
}
++KRetained;
}
gsl_matrix_complex_free(V0S);
gsl_matrix_complex_free(Mmat);
gsl_vector_complex_free(MVk);
gsl_matrix_complex_free(S);
gsl_vector_complex_free(Lambda);
free(V0S);
free(Mmat);
free(MVk);
free(S);
free(Lambda);
return KRetained;
}
beyn_result_gsl_t *beyn_solve_gsl(const size_t m, const size_t l,
beyn_function_M_gsl_t M_function, beyn_function_M_inv_Vhat_gsl_t M_inv_Vhat_function,
beyn_result_t *beyn_solve(const size_t m, const size_t l,
beyn_function_M_t M_function, beyn_function_M_inv_Vhat_t M_inv_Vhat_function,
void *params, const beyn_contour_t *contour,
double rank_tol, size_t rank_sel_min, double res_tol)
{
BeynSolver *solver = BeynSolver_create(m, l);
gsl_matrix_complex *A0 = solver->A0;
gsl_matrix_complex *A1 = solver->A1;
gsl_matrix_complex *A0_coarse = solver->A0_coarse;
gsl_matrix_complex *A1_coarse = solver->A1_coarse;
gsl_matrix_complex *MInvVHat = solver->MInvVHat;
gsl_matrix_complex *VHat = solver->VHat;
complex double *A0 = solver->A0;
complex double *A1 = solver->A1;
complex double *A0_coarse = solver->A0_coarse;
complex double *A1_coarse = solver->A1_coarse;
complex double *MInvVHat = solver->MInvVHat;
complex double *VHat = solver->VHat;
/***************************************************************/
/* evaluate contour integrals by numerical quadrature to get */
/* A0 and A1 matrices */
/***************************************************************/
gsl_matrix_complex_set_zero(A0);
gsl_matrix_complex_set_zero(A1);
gsl_matrix_complex_set_zero(A0_coarse);
gsl_matrix_complex_set_zero(A1_coarse);
// TODO zeroing probably redundant (Used calloc...)
memset(A0, 0, m * l * sizeof(complex double));
memset(A1, 0, m * l * sizeof(complex double));
memset(A0_coarse, 0, m * l * sizeof(complex double));
memset(A1_coarse, 0, m * l * sizeof(complex double));
const size_t N = contour->n;
if(N & 1) QPMS_WARN("Contour discretisation point number is odd (%zd),"
" the error estimates might be a bit off.", N);
@ -544,44 +538,57 @@ beyn_result_gsl_t *beyn_solve_gsl(const size_t m, const size_t l,
const complex double z = contour->z_dz[n][0];
const complex double dz = contour->z_dz[n][1];
gsl_matrix_complex_memcpy(MInvVHat, VHat);
memcpy(MInvVHat, VHat, m * l * sizeof(complex double));
if(M_inv_Vhat_function) {
QPMS_ENSURE_SUCCESS(M_inv_Vhat_function(MInvVHat, VHat, z, params));
QPMS_ENSURE_SUCCESS(M_inv_Vhat_function(MInvVHat, m, l, VHat, z, params));
} else {
lapack_int *pivot;
gsl_matrix_complex *Mmat = gsl_matrix_complex_alloc(m,m);
QPMS_ENSURE_SUCCESS(M_function(Mmat, z, params));
complex double *Mmat;
QPMS_CRASHING_MALLOC(Mmat, m * m * sizeof(complex double));
QPMS_ENSURE_SUCCESS(M_function(Mmat, m, z, params));
QPMS_CRASHING_MALLOC(pivot, sizeof(lapack_int) * m);
#if 0
QPMS_ENSURE_SUCCESS(LAPACKE_zgetrf(LAPACK_ROW_MAJOR,
m /*m*/, m /*n*/,(lapack_complex_double *) Mmat->data /*a*/, Mmat->tda /*lda*/, pivot /*ipiv*/));
QPMS_ENSURE(MInvVHat->tda == l, "wut?");
QPMS_ENSURE_SUCCESS(LAPACKE_zgetrs(LAPACK_ROW_MAJOR, 'N' /*trans*/,
m /*n*/, l/*nrhs*/, (lapack_complex_double *)(Mmat->data) /*a*/, Mmat->tda /*lda*/, pivot/*ipiv*/,
(lapack_complex_double *)(MInvVHat->data) /*b*/, MInvVHat->tda/*ldb*/));
#endif
QPMS_ENSURE_SUCCESS(LAPACKE_zgetrf(LAPACK_ROW_MAJOR,
m /*m*/, m /*n*/, Mmat /*a*/, m /*lda*/, pivot /*ipiv*/));
QPMS_ENSURE_SUCCESS(LAPACKE_zgetrs(LAPACK_ROW_MAJOR, 'N' /*trans*/,
m /*n*/, l/*nrhs*/, Mmat /*a*/, m /*lda*/, pivot/*ipiv*/,
MInvVHat /*b*/, l /*ldb*/));
free(pivot);
gsl_matrix_complex_free(Mmat);
free(Mmat);
}
gsl_matrix_complex_scale(MInvVHat, cs2g(dz));
gsl_matrix_complex_add(A0, MInvVHat);
for(size_t i = 0; i < m * l; ++i)
MInvVHat[i] *= dz;
for(size_t i = 0; i < m * l; ++i)
A0[i] += MInvVHat[i];
if((n%2)==0) {
gsl_matrix_complex_add(A0_coarse, MInvVHat);
gsl_matrix_complex_add(A0_coarse, MInvVHat);
for(size_t i = 0; i < m * l; ++i)
A0_coarse[i] += 2 * MInvVHat[i];
}
gsl_matrix_complex_scale(MInvVHat, cs2g(z - z0)); // A_1 scaling as in Beyn's Remark 3.2(b) for numerical stability.
gsl_matrix_complex_add(A1, MInvVHat);
// A_1 scaling as in Beyn's Remark 3.2(b) for numerical stability.
for(size_t i = 0; i < m * l; ++i)
MInvVHat[i] *= (z - z0);
for(size_t i = 0; i < m * l; ++i)
A1[i] += MInvVHat[i];
if((n%2)==0) {
gsl_matrix_complex_add(A1_coarse, MInvVHat);
gsl_matrix_complex_add(A1_coarse, MInvVHat);
for(size_t i = 0; i < m * l; ++i)
A1_coarse[i] += 2 * MInvVHat[i];
}
}
gsl_vector_complex *eigenvalues = solver->eigenvalues;
gsl_vector_complex *eigenvalue_errors = solver->eigenvalue_errors;
gsl_matrix_complex *eigenvectors = solver->eigenvectors;
complex double *eigenvalues = solver->eigenvalues;
complex double *eigenvalue_errors = solver->eigenvalue_errors;
complex double *eigenvectors = solver->eigenvectors;
// Repeat Steps 3–6 with rougher contour approximation to get an error estimate.
int K_coarse = beyn_process_matrices(solver, M_function, params, A0_coarse, A1_coarse, z0, eigenvalue_errors, /*eigenvectors_coarse*/ NULL, rank_tol, rank_sel_min, res_tol);
@ -589,10 +596,13 @@ beyn_result_gsl_t *beyn_solve_gsl(const size_t m, const size_t l,
// Beyn Steps 3–6
int K = beyn_process_matrices(solver, M_function, params, A0, A1, z0, eigenvalues, eigenvectors, rank_tol, rank_sel_min, res_tol);
gsl_blas_zaxpy(gsl_complex_rect(-1,0), eigenvalues, eigenvalue_errors);
beyn_result_gsl_t *result;
QPMS_CRASHING_MALLOC(result, sizeof(beyn_result_gsl_t));
const complex double minusone = -1.;
//TODO maybe change the sizes to correspend to retained eigval count K, not l
cblas_zaxpy(l, &minusone, eigenvalues, 1, eigenvalue_errors, 1);
beyn_result_t *result;
QPMS_CRASHING_MALLOC(result, sizeof(*result));
result->eigval = solver->eigenvalues;
result->eigval_err = solver->eigenvalue_errors;
result->residuals = solver->residuals;
@ -605,63 +615,3 @@ beyn_result_gsl_t *beyn_solve_gsl(const size_t m, const size_t l,
return result;
}
// Wrapper of pure C array M-matrix function to GSL.
struct beyn_function_M_carr2gsl_param {
beyn_function_M_t M_function;
beyn_function_M_inv_Vhat_t M_inv_Vhat_function;
void *param;
};
static int beyn_function_M_carr2gsl(gsl_matrix_complex *target_M, complex double z, void *params)
{
struct beyn_function_M_carr2gsl_param *p = params;
// These could rather be asserts.
QPMS_ENSURE(target_M->size2 == target_M->tda, "Target GSL matrix is not a C-contiguous array. This is a bug, please report!");
QPMS_ENSURE(target_M->size1 == target_M->size2, "Target is not a square matrix. This is a bug, please report!");
return p->M_function((complex double *) target_M->data, target_M->size1, z, p->param);
}
static int beyn_function_M_inv_Vhat_carr2gsl(gsl_matrix_complex *target,
const gsl_matrix_complex *Vhat, complex double z, void *params)
{
QPMS_UNTESTED;
struct beyn_function_M_carr2gsl_param *p = params;
// These could rather be asserts.
QPMS_ENSURE(target->size2 == target->tda, "Target GSL matrix is not a C-contiguous array. This is a bug, please report!");
QPMS_ENSURE(Vhat->size2 == Vhat->tda, "Source GSL matrix is not a C-contiguous array. This is a bug, please report!");
// TODO here I could also check whether Vhat and target have compatible sizes.
return p->M_inv_Vhat_function((complex double *) target->data, target->size1, target->size2,
(complex double *) Vhat->data, z, p->param);
}
beyn_result_t *beyn_solve(size_t m, size_t l, beyn_function_M_t M, beyn_function_M_inv_Vhat_t M_inv_Vhat,
void *params, const beyn_contour_t *contour, double rank_tol, size_t rank_sel_min, double res_tol) {
struct beyn_function_M_carr2gsl_param p = {M, M_inv_Vhat, params};
return beyn_result_from_beyn_result_gsl(
beyn_solve_gsl(m, l, beyn_function_M_carr2gsl,
(p.M_inv_Vhat_function) ? beyn_function_M_inv_Vhat_carr2gsl : NULL,
(void *) &p, contour, rank_tol, rank_sel_min, res_tol)
);
}
beyn_result_t *beyn_result_from_beyn_result_gsl(beyn_result_gsl_t *g) {
struct beyn_result_t *result;
QPMS_CRASHING_MALLOC(result, sizeof(beyn_result_t));
result->gsl = g;
result->neig = result->gsl->neig;
result->vlen = result->gsl->eigvec->size2;
result->eigval = (complex double *) result->gsl->eigval->data;
result->eigval_err = (complex double *) result->gsl->eigval_err->data;
result->residuals = result->gsl->residuals->data;
result->eigvec = (complex double *) result->gsl->eigvec->data;
result->ranktest_SV = result->gsl->ranktest_SV->data;
return result;
}
void beyn_result_free(beyn_result_t *result) {
if(result)
beyn_result_gsl_free(result->gsl);
free(result);
}

51
qpms/beyn.h
View File

@ -4,20 +4,10 @@
#ifndef BEYN_H
#define BEYN_H
#include <stddef.h>
#include <complex.h>
#include <gsl/gsl_matrix.h>
#include <gsl/gsl_complex_math.h>
/// User-supplied function that provides the operator M(z) whose "roots" are to be found.
/** GSL matrix version */
typedef int (*beyn_function_M_gsl_t)(gsl_matrix_complex *target_M, complex double z, void *params);
/// (optional) User-supplied function that, given \f$ \hat V \f$, calculates \f$ M(z)^{-1} \hat V \f$.
/** GSL matrix version */
typedef int (*beyn_function_M_inv_Vhat_gsl_t)(gsl_matrix_complex *target_M_inv_Vhat,
const gsl_matrix_complex *Vhat, complex double z, void *params);
/// User-supplied function that provides the operator M(z) whose "roots" are to be found.
/// User-supplied function that provides the (row-major) m × m matrix M(z) whose "roots" are to be found.
/** Pure C array version */
typedef int (*beyn_function_M_t)(complex double *target_M, size_t m, complex double z, void *params);
@ -66,18 +56,6 @@ beyn_contour_t *beyn_contour_kidney(complex double centre, double halfax_re, dou
size_t n, beyn_contour_halfellipse_orientation or);
/// Beyn algorithm result structure (GSL matrix/vector version).
typedef struct beyn_result_gsl_t {
size_t neig; ///< Number of eigenvalues found (a bit redundant?).
gsl_vector_complex *eigval;
gsl_vector_complex *eigval_err;
gsl_vector *residuals;
gsl_matrix_complex *eigvec; // Rows are the eigenvectors
gsl_vector *ranktest_SV;
} beyn_result_gsl_t;
void beyn_result_gsl_free(beyn_result_gsl_t *result);
/// Beyn algorithm result structure (pure C array version).
typedef struct beyn_result_t {
size_t neig; ///< Number of eigenvalues found.
@ -88,31 +66,11 @@ typedef struct beyn_result_t {
complex double *eigvec; // Rows are the eigenvectors
double *ranktest_SV;
/// Private, we wrap it around beyn_result_gsl_t for now.
beyn_result_gsl_t *gsl;
} beyn_result_t;
/// Converts beyn_result_gsl_t from beyn_result_t.
/** After calling this, use beyn_result_free() on the returned pointer;
* do NOT run beyn_result_gsl_free() anymore.
*/
beyn_result_t *beyn_result_from_beyn_result_gsl(beyn_result_gsl_t *g);
void beyn_result_free(beyn_result_t *result);
beyn_result_gsl_t *beyn_solve_gsl(
size_t m, ///< Dimension of the matrix \a M.
size_t l, ///< Number of columns of the random matrix \f$ \hat V \f$ (larger than the expected number of solutions).
beyn_function_M_gsl_t M, ///< Function providing the matrix \f$ M(z) \f$.
beyn_function_M_inv_Vhat_gsl_t M_inv_Vhat, ///< Fuction providing the matrix \f$ M^{-1}(z) \hat V \f$ (optional).
void *params, ///< Parameter pointer passed to M() and M_inv_Vhat().
const beyn_contour_t *contour, ///< Integration contour.
double rank_tol, ///< (default: `1e-4`) TODO DOC.
size_t rank_min_sel, ///< Minimum number of eigenvalue candidates, even if they don't pass \a rank_tol.
double res_tol ///< (default: `0.0`) TODO DOC.
);
/// Solve a non-linear eigenproblem using Beyn's algorithm
beyn_result_t *beyn_solve(
size_t m, ///< Dimension of the matrix \a M.
size_t l, ///< Number of columns of the random matrix \f$ \hat V \f$ (larger than the expected number of solutions).
@ -125,7 +83,4 @@ beyn_result_t *beyn_solve(
double res_tol ///< (default: `0.0`) TODO DOC.
);
static inline complex double gsl_complex_tostd(gsl_complex z) { return GSL_REAL(z) + I*GSL_IMAG(z); }
static inline gsl_complex gsl_complex_fromstd(complex double z) { return gsl_complex_rect(creal(z), cimag(z)); }
#endif // BEYN_H

27
qpms/qpms_cdefs.pxd
View File

@ -741,25 +741,10 @@ cdef extern from "ewald.h":
double eta, cdouble wavenumber, LatticeDimensionality latdim, PGen *pgen_R,
bint pgen_generates_shifted_points, cart3_t k, cart3_t particle_shift)
cdef extern from "gsl/gsl_complex.h":
ctypedef struct gsl_complex:
double dat[2]
cdef extern from "gsl/gsl_matrix.h":
ctypedef struct gsl_matrix_complex:
pass
ctypedef struct gsl_vector:
pass
ctypedef struct gsl_vector_complex:
pass
cdef extern from "beyn.h":
ctypedef struct beyn_contour_t:
bint (*inside_test)(beyn_contour_t *, cdouble z)
pass
ctypedef struct beyn_result_gsl_t:
pass
ctypedef struct beyn_result_t:
size_t neig
size_t vlen
@ -768,25 +753,17 @@ cdef extern from "beyn.h":
double *residuals
cdouble *eigvec
double *ranktest_SV
beyn_result_gsl_t *gsl
ctypedef enum beyn_contour_halfellipse_orientation:
BEYN_CONTOUR_HALFELLIPSE_RE_PLUS
BEYN_CONTOUR_HALFELLIPSE_IM_PLUS
BEYN_CONTOUR_HALFELLIPSE_RE_MINUS
BEYN_CONTOUR_HALFELLIPSE_IM_MINUS
ctypedef int (*beyn_function_M_gsl_t)(gsl_matrix_complex *target_M, cdouble z, void *params)
ctypedef int (*beyn_function_M_inv_Vhat_gsl_t)(gsl_matrix_complex *target, const gsl_matrix_complex *Vhat, cdouble z, void *params)
ctypedef int (*beyn_function_M_t)(cdouble *target_M, size_t m, cdouble z, void *params)
ctypedef int (*beyn_function_M_inv_Vhat_t)(cdouble *target, size_t m, size_t l, const cdouble *Vhat, cdouble z, void *params)
void beyn_result_gsl_free(beyn_result_gsl_t *result)
void beyn_result_free(beyn_result_t *result)
beyn_result_gsl_t *beyn_solve_gsl(size_t m, size_t l, beyn_function_M_gsl_t M,
beyn_function_M_inv_Vhat_gsl_t M_inv_Vhat, void *params, const beyn_contour_t *contour,
double rank_tol, size_t rank_min_sel, double res_tol)
beyn_result_t *beyn_solve(size_t m, size_t l, beyn_function_M_t M,
beyn_function_M_inv_Vhat_t M_inv_Vhat, void *params, const beyn_contour_t *contour,
double rank_tol, size_t rank_min_sel, double res_tol)
@ -797,7 +774,3 @@ cdef extern from "beyn.h":
beyn_contour_t *beyn_contour_kidney(cdouble centre, double halfax_re, double halfax_im, size_t npoints,
double rounding, beyn_contour_halfellipse_orientation ori)
cdouble gsl_comlpex_tostd(gsl_complex z)
gsl_complex gsl_complex_fromstd(cdouble z)

8
tests/CMakeLists.txt
View File

@ -72,14 +72,6 @@ target_link_libraries( tbeyn3f qpms gsl lapacke ${QPMS_AMOSLIB} m )
target_include_directories( tbeyn3f PRIVATE .. )
target_compile_definitions( tbeyn3f PRIVATE VARIANTF )
add_executable( tbeyn_gsl tbeyn_gsl.c )
target_link_libraries( tbeyn_gsl qpms gsl lapacke ${QPMS_AMOSLIB} m )
target_include_directories( tbeyn_gsl PRIVATE .. )
add_executable( tbeyn_gsl2 tbeyn_gsl2.c )
target_link_libraries( tbeyn_gsl2 qpms gsl lapacke ${QPMS_AMOSLIB} m )
target_include_directories( tbeyn_gsl2 PRIVATE .. )
add_custom_target( mytests DEPENDS test_single_translations_vs_calc test_vswf_translations test_vswf_translations_array tbeyn )
add_test( NAME single_vs_array_translation_coeffs COMMAND test_single_translations_vs_calc )

1
tests/tbeyn.c
View File

@ -1,6 +1,7 @@
#include <qpms/beyn.h>
#include <stdio.h>
#include <string.h>
#include <stdlib.h>
// Matrix as in Beyn, section 4.11
int M_function(complex double *target, const size_t m, const complex double z, void *no_params) {

42
tests/tbeyn_gsl.c
View File

@ -1,42 +0,0 @@
#include <qpms/beyn.h>
#include <stdio.h>
// Matrix as in Beyn, section 4.11
int M_function(gsl_matrix_complex *target, complex double z, void *no_params) {
int m = target->size1;
gsl_complex d = gsl_complex_fromstd( 2*m - 4*z / (6*m) );
gsl_complex od = gsl_complex_fromstd( -(double)m - z / (6*m) );
gsl_matrix_complex_set_zero(target);
for (int i = 0; i < m; ++i) {
gsl_matrix_complex_set(target, i, i, d);
if(i > 0) gsl_matrix_complex_set(target, i, i-1, od);
if(i < m - 1) gsl_matrix_complex_set(target, i, i+1, od);
}
gsl_matrix_complex_set(target, m-1, m-1, gsl_complex_fromstd(gsl_complex_tostd(d)/2 + z/(z-1)));
return 0;
}
int main() {
complex double z0 = 150+2*I;
double Rx = 148, Ry = 148;
int L = 10, N = 50, dim = 400;
beyn_contour_t *contour = beyn_contour_ellipse(z0, Rx, Ry, N);
beyn_result_gsl_t *result =
beyn_solve_gsl(dim, L, M_function, NULL /*M_inv_Vhat_function*/, NULL /*params*/,
contour, 1e-4, 1, 1e-4);
printf("Found %zd eigenvalues:\n", result->neig);
for (size_t i = 0; i < result->neig; ++i) {
gsl_complex eig = gsl_vector_complex_get(result->eigval, i);
printf("%zd: %g%+gj\n", i, GSL_REAL(eig), GSL_IMAG(eig));
}
free(contour);
beyn_result_gsl_free(result);
return 0;
}

37
tests/tbeyn_gsl2.c
View File

@ -1,37 +0,0 @@
#include <qpms/beyn.h>
#include <stdio.h>
// Matrix as in Beyn, section 4.11
int M_function(gsl_matrix_complex *target, complex double z, void *no_params) {
int m = target->size1;
gsl_matrix_complex_set_zero(target);
for (int i = 0; i < m; ++i) {
gsl_matrix_complex_set(target, i, i, gsl_complex_rect(i - creal(z), -cimag(z)));
}
return 0;
}
int main() {
complex double z0 = 150+2*I;
double Rx = 5, Ry = 5;
int L = 10, N = 600, dim = 200;
beyn_contour_t *contour = beyn_contour_ellipse(z0, Rx, Ry, N);
beyn_result_gsl_t *result =
beyn_solve_gsl(dim, L, M_function, NULL /*M_inv_Vhat_function*/, NULL /*params*/,
contour, 1e-4, 1, 1e-4);
printf("Found %zd eigenvalues:\n", result->neig);
for (size_t i = 0; i < result->neig; ++i) {
gsl_complex eig = gsl_vector_complex_get(result->eigval, i);
printf("%zd: %g%+gj\n", i, GSL_REAL(eig), GSL_IMAG(eig));
}
free(contour);
beyn_result_gsl_free(result);
return 0;
}