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Incremental cleanup and style assimilation 

Former-commit-id: eb31cf03313edbad256331592afa4c6d212feab8
This commit is contained in:
Marek Nečada 2019-09-02 12:25:26 +03:00
parent cabe764640
commit 5dc2a44cdd
1 changed files with 120 additions and 164 deletions
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278
qpms/beyn.c
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@ -25,41 +25,41 @@ STATIC_ASSERT((sizeof(lapack_complex_double) == sizeof(gsl_complex)), lapack_and
typedef struct BeynSolver typedef struct BeynSolver
{ {
int M; // dimension of matrices int M; // dimension of matrices
int L; // number of columns of VHat matrix int L; // number of columns of VHat matrix
gsl_vector_complex *Eigenvalues, *EVErrors; gsl_vector_complex *eigenvalues, *eigenvalue_errors;
gsl_matrix_complex *Eigenvectors; gsl_matrix_complex *eigenvectors;
gsl_matrix_complex *A0, *A1, *A0Coarse, *A1Coarse, *MInvVHat; gsl_matrix_complex *A0, *A1, *A0_coarse, *A1_coarse, *MInvVHat;
gsl_matrix_complex *VHat; gsl_matrix_complex *VHat;
gsl_vector *Sigma, *Residuals; gsl_vector *Sigma, *residuals;
double complex *Workspace; double complex *Workspace;
} BeynSolver; } BeynSolver;
// constructor, destructor // constructor, destructor
BeynSolver *CreateBeynSolver(int M, int L); BeynSolver *BeynSolver_create(int M, int L);
void DestroyBeynSolver(BeynSolver *Solver); void BeynSolver_free(BeynSolver *solver);
// reset the random matrix VHat used in the Beyn algorithm // reset the random matrix VHat used in the Beyn algorithm
// //
void ReRandomize(BeynSolver *Solver, unsigned int RandSeed); void BeynSolver_srandom(BeynSolver *solver, unsigned int RandSeed);
// for both of the following routines, // for both of the following routines,
// the return value is the number of eigenvalues found, // the return value is the number of eigenvalues found,
// and the eigenvalues and eigenvectors are stored in the // and the eigenvalues and eigenvectors are stored in the
// Lambda and Eigenvectors fields of the BeynSolver structure // Lambda and eigenvectors fields of the BeynSolver structure
// Beyn method for circular contour of radius R, // Beyn method for circular contour of radius R,
// centered at z0, using N quadrature points // centered at z0, using N quadrature points
//int BeynSolve(BeynSolver *Solver, //int BeynSolve(BeynSolver *solver,
// BeynFunction UserFunction, void *Params, // BeynFunction UserFunction, void *Params,
// double complex z0, double R, int N); // double complex z0, double R, int N);
// Beyn method for elliptical contour of horizontal, vertical // Beyn method for elliptical contour of horizontal, vertical
// radii Rx, Ry, centered at z0, using N quadrature points // radii Rx, Ry, centered at z0, using N quadrature points
int BeynSolve(BeynSolver *Solver, int BeynSolve(BeynSolver *solver,
beyn_function_M_gsl_t M_function, beyn_function_M_inv_Vhat_gsl_t M_inv_Vhat_function, void *params, beyn_function_M_gsl_t M_function, beyn_function_M_inv_Vhat_gsl_t M_inv_Vhat_function, void *params,
double complex z0, double Rx, double Ry, int N); double complex z0, double Rx, double Ry, int N);
@ -102,90 +102,71 @@ void beyn_result_gsl_free(beyn_result_gsl_t *r) {
} }
} }
/***************************************************************/ BeynSolver *BeynSolver_create(int M, int L)
/***************************************************************/
/***************************************************************/
BeynSolver *CreateBeynSolver(int M, int L)
{ {
BeynSolver *Solver= (BeynSolver *)malloc(sizeof(*Solver)); BeynSolver *solver= (BeynSolver *)malloc(sizeof(*solver));
Solver->M = M; solver->M = M;
Solver->L = L; solver->L = L;
QPMS_ENSURE(L <= M, "We expect L <= M, but we got L = %d, M = %d ", L, M); QPMS_ENSURE(L <= M, "We expect L <= M, but we got L = %d, M = %d ", L, M);
// storage for eigenvalues and eigenvectors // storage for eigenvalues and eigenvectors
Solver->Eigenvalues = gsl_vector_complex_calloc(L); solver->eigenvalues = gsl_vector_complex_calloc(L);
Solver->EVErrors = gsl_vector_complex_calloc(L); solver->eigenvalue_errors = gsl_vector_complex_calloc(L);
Solver->Residuals = gsl_vector_calloc(L); solver->residuals = gsl_vector_calloc(L);
Solver->Eigenvectors = gsl_matrix_complex_calloc(M, L); solver->eigenvectors = gsl_matrix_complex_calloc(M, L);
// storage for singular values, random VHat matrix, etc. used in algorithm // storage for singular values, random VHat matrix, etc. used in algorithm
Solver->A0 = gsl_matrix_complex_calloc(M,L); solver->A0 = gsl_matrix_complex_calloc(M,L);
Solver->A1 = gsl_matrix_complex_calloc(M,L); solver->A1 = gsl_matrix_complex_calloc(M,L);
Solver->A0Coarse = gsl_matrix_complex_calloc(M,L); solver->A0_coarse = gsl_matrix_complex_calloc(M,L);
Solver->A1Coarse = gsl_matrix_complex_calloc(M,L); solver->A1_coarse = gsl_matrix_complex_calloc(M,L);
Solver->MInvVHat = gsl_matrix_complex_calloc(M,L); solver->MInvVHat = gsl_matrix_complex_calloc(M,L);
Solver->VHat = gsl_matrix_complex_calloc(M,L); solver->VHat = gsl_matrix_complex_calloc(M,L);
Solver->Sigma = gsl_vector_calloc(L); solver->Sigma = gsl_vector_calloc(L);
ReRandomize(Solver,(unsigned)time(NULL)); BeynSolver_srandom(solver,(unsigned)time(NULL));
#if 0 return solver;
// internal workspace: need storage for 2 MxL matrices
// plus 3 LxL matrices
#define MLBUFFERS 2
#define LLBUFFERS 3
size_t ML = MLMax*L, LL = L*L;
#endif
return Solver;
} }
/***************************************************************/ void BeynSolver_free(BeynSolver *solver)
/***************************************************************/
/***************************************************************/
void DestroyBeynSolver(BeynSolver *Solver)
{ {
gsl_vector_complex_free(Solver->Eigenvalues); gsl_vector_complex_free(solver->eigenvalues);
gsl_vector_complex_free(Solver->EVErrors); gsl_vector_complex_free(solver->eigenvalue_errors);
gsl_matrix_complex_free(Solver->Eigenvectors); gsl_matrix_complex_free(solver->eigenvectors);
gsl_matrix_complex_free(Solver->A0); gsl_matrix_complex_free(solver->A0);
gsl_matrix_complex_free(Solver->A1); gsl_matrix_complex_free(solver->A1);
gsl_matrix_complex_free(Solver->A0Coarse); gsl_matrix_complex_free(solver->A0_coarse);
gsl_matrix_complex_free(Solver->A1Coarse); gsl_matrix_complex_free(solver->A1_coarse);
gsl_matrix_complex_free(Solver->MInvVHat); gsl_matrix_complex_free(solver->MInvVHat);
gsl_vector_free(Solver->Sigma); gsl_vector_free(solver->Sigma);
gsl_vector_free(Solver->Residuals); gsl_vector_free(solver->residuals);
gsl_matrix_complex_free(Solver->VHat); gsl_matrix_complex_free(solver->VHat);
free(Solver); free(solver);
} }
void DestroyBeynSolverPartial(BeynSolver *Solver) void BeynSolver_free_partial(BeynSolver *solver)
{ {
gsl_matrix_complex_free(Solver->A0); gsl_matrix_complex_free(solver->A0);
gsl_matrix_complex_free(Solver->A1); gsl_matrix_complex_free(solver->A1);
gsl_matrix_complex_free(Solver->A0Coarse); gsl_matrix_complex_free(solver->A0_coarse);
gsl_matrix_complex_free(Solver->A1Coarse); gsl_matrix_complex_free(solver->A1_coarse);
gsl_matrix_complex_free(Solver->MInvVHat); gsl_matrix_complex_free(solver->MInvVHat);
gsl_vector_free(Solver->Sigma); gsl_vector_free(solver->Sigma);
gsl_matrix_complex_free(Solver->VHat); gsl_matrix_complex_free(solver->VHat);
free(Solver); free(solver);
} }
void BeynSolver_srandom(BeynSolver *solver, unsigned int RandSeed)
/***************************************************************/
/***************************************************************/
/***************************************************************/
void ReRandomize(BeynSolver *Solver, unsigned int RandSeed)
{ {
if (RandSeed==0) if (RandSeed==0)
RandSeed=time(0); RandSeed=time(0);
srandom(RandSeed); srandom(RandSeed);
gsl_matrix_complex *VHat=Solver->VHat; gsl_matrix_complex *VHat=solver->VHat;
for(int nr=0; nr<VHat->size1; nr++) for(int nr=0; nr<VHat->size1; nr++)
for(int nc=0; nc<VHat->size2; nc++) for(int nc=0; nc<VHat->size2; nc++)
gsl_matrix_complex_set(VHat,nr,nc,cs2g(zrandN(1, 0))); gsl_matrix_complex_set(VHat,nr,nc,cs2g(zrandN(1, 0)));
@ -199,48 +180,46 @@ void ReRandomize(BeynSolver *Solver, unsigned int RandSeed)
/* eigenvalues and eigenvectors */ /* eigenvalues and eigenvectors */
/***************************************************************/ /***************************************************************/
int ProcessAMatrices(BeynSolver *Solver, beyn_function_M_gsl_t M_function, static int beyn_process_matrices(BeynSolver *solver, beyn_function_M_gsl_t M_function,
void *Params, void *Params,
gsl_matrix_complex *A0, gsl_matrix_complex *A1, double complex z0, gsl_matrix_complex *A0, gsl_matrix_complex *A1, double complex z0,
gsl_vector_complex *Eigenvalues, gsl_matrix_complex *Eigenvectors, const double RankTol, const double ResTol) gsl_vector_complex *eigenvalues, gsl_matrix_complex *eigenvectors, const double RankTol, const double ResTol)
{ {
int M = Solver->M; int M = solver->M;
int L = Solver->L; int L = solver->L;
gsl_vector *Sigma = Solver->Sigma; gsl_vector *Sigma = solver->Sigma;
int Verbose = 1;//CheckEnv("SCUFF_BEYN_VERBOSE"); int verbose = 1; // TODO
//double RankTol=1.0e-4; //CheckEnv("SCUFF_BEYN_RANK_TOL",&RankTol);
//double ResTol=0.0; // CheckEnv("SCUFF_BEYN_RES_TOL",&ResTol);
// A0 -> V0Full * Sigma * W0TFull' // A0 -> V0_full * Sigma * W0T_full'
printf(" Beyn: computing SVD...\n"); printf(" Beyn: computing SVD...\n");
gsl_matrix_complex* V0Full = gsl_matrix_complex_alloc(M,L); gsl_matrix_complex* V0_full = gsl_matrix_complex_alloc(M,L);
gsl_matrix_complex_memcpy(V0Full,A0); gsl_matrix_complex_memcpy(V0_full,A0);
gsl_matrix_complex* W0TFull = gsl_matrix_complex_alloc(L,L); gsl_matrix_complex* W0T_full = gsl_matrix_complex_alloc(L,L);
//A0->SVD(Sigma, &V0Full, &W0TFull); //A0->SVD(Sigma, &V0_full, &W0T_full);
QPMS_ENSURE(Sigma->stride == 1, "Sigma vector stride must be 1 for LAPACKE_zgesdd, got %zd.", Sigma->stride); QPMS_ENSURE(Sigma->stride == 1, "Sigma vector stride must be 1 for LAPACKE_zgesdd, got %zd.", Sigma->stride);
QPMS_ENSURE(V0Full->size1 >= V0Full->size2, "m = %zd, l = %zd, what the hell?"); QPMS_ENSURE(V0_full->size1 >= V0_full->size2, "m = %zd, l = %zd, what the hell?");
QPMS_ENSURE_SUCCESS(LAPACKE_zgesdd(LAPACK_ROW_MAJOR, // A = U*Σ*conjg(V') 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*/, 'O' /*jobz, 'O' overwrites a with U and saves conjg(V') in vt if m >= n, i.e. if M >= L, which holds*/,
V0Full->size1 /* m, number of rows */, V0_full->size1 /* m, number of rows */,
V0Full->size2 /* n, number of columns */, V0_full->size2 /* n, number of columns */,
(lapack_complex_double *)(V0Full->data) /*a*/, (lapack_complex_double *)(V0_full->data) /*a*/,
V0Full->tda /*lda*/, V0_full->tda /*lda*/,
Sigma->data /*s*/, Sigma->data /*s*/,
NULL /*u; not used*/, NULL /*u; not used*/,
M /*ldu; should not be really used but lapacke requires it for some obscure reason*/, M /*ldu; should not be really used but lapacke requires it for some obscure reason*/,
(lapack_complex_double *)W0TFull->data /*vt*/, (lapack_complex_double *)W0T_full->data /*vt*/,
W0TFull->tda /*ldvt*/ W0T_full->tda /*ldvt*/
)); ));
// compute effective rank K (number of eigenvalue candidates) // compute effective rank K (number of eigenvalue candidates)
int K=0; int K=0;
for(int k=0; k<Sigma->size /* this is L, actually */; k++) for(int k=0; k<Sigma->size /* this is L, actually */; k++)
{ if (Verbose) printf("Beyn: SV(%i)=%e\n",k,gsl_vector_get(Sigma, k)); { if (verbose) printf("Beyn: SV(%i)=%e\n",k,gsl_vector_get(Sigma, k));
if (gsl_vector_get(Sigma, k) > RankTol ) if (gsl_vector_get(Sigma, k) > RankTol )
K++; K++;
} }
@ -256,14 +235,14 @@ int ProcessAMatrices(BeynSolver *Solver, beyn_function_M_gsl_t M_function,
for (int k = 0; k < K; ++k) { for (int k = 0; k < K; ++k) {
gsl_vector_complex_view tmp; gsl_vector_complex_view tmp;
tmp = gsl_matrix_complex_column(V0Full, k); tmp = gsl_matrix_complex_column(V0_full, k);
gsl_matrix_complex_set_col(V0, k, &(tmp.vector)); gsl_matrix_complex_set_col(V0, k, &(tmp.vector));
tmp = gsl_matrix_complex_row(W0TFull, k); tmp = gsl_matrix_complex_row(W0T_full, k);
gsl_matrix_complex_set_row(W0T, k, &(tmp.vector)); gsl_matrix_complex_set_row(W0T, k, &(tmp.vector));
} }
gsl_matrix_complex_free(V0Full); gsl_matrix_complex_free(V0_full);
gsl_matrix_complex_free(W0TFull); gsl_matrix_complex_free(W0T_full);
// B <- V0' * A1 * W0 * Sigma^-1 // B <- V0' * A1 * W0 * Sigma^-1
gsl_matrix_complex *TM2 = gsl_matrix_complex_calloc(K,L); gsl_matrix_complex *TM2 = gsl_matrix_complex_calloc(K,L);
@ -302,8 +281,8 @@ int ProcessAMatrices(BeynSolver *Solver, beyn_function_M_gsl_t M_function,
// B -> S*Lambda*S' // B -> S*Lambda*S'
printf(" Eigensolving (%i,%i)\n",K,K); printf(" Eigensolving (%i,%i)\n",K,K);
gsl_vector_complex *Lambda = gsl_vector_complex_alloc(K); // Eigenvalues gsl_vector_complex *Lambda = gsl_vector_complex_alloc(K); // eigenvalues
gsl_matrix_complex *S = gsl_matrix_complex_alloc(K,K); // Eigenvectors gsl_matrix_complex *S = gsl_matrix_complex_alloc(K,K); // eigenvectors
QPMS_ENSURE(Sigma->stride == 1, "Sigma vector stride must be 1 for LAPACKE_zgesdd, got %zd.", Sigma->stride); 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); QPMS_ENSURE(Lambda->stride == 1, "Lambda vector stride must be 1 for LAPACKE_zgesdd, got %zd.", Sigma->stride);
@ -344,14 +323,14 @@ int ProcessAMatrices(BeynSolver *Solver, beyn_function_M_gsl_t M_function,
QPMS_ENSURE_SUCCESS(M_function(Mmat, z, Params)); QPMS_ENSURE_SUCCESS(M_function(Mmat, z, Params));
QPMS_ENSURE_SUCCESS(gsl_blas_zgemv(CblasNoTrans, one, Mmat, &(Vk.vector), zero, MVk)); QPMS_ENSURE_SUCCESS(gsl_blas_zgemv(CblasNoTrans, one, Mmat, &(Vk.vector), zero, MVk));
residual = gsl_blas_dznrm2(MVk); residual = gsl_blas_dznrm2(MVk);
if (Verbose) printf("Beyn: Residual(%i)=%e\n",k,residual); if (verbose) printf("Beyn: Residual(%i)=%e\n",k,residual);
} }
if (ResTol > 0 && residual > ResTol) continue; if (ResTol > 0 && residual > ResTol) continue;
gsl_vector_complex_set(Eigenvalues, KRetained, zgsl); gsl_vector_complex_set(eigenvalues, KRetained, zgsl);
if(Eigenvectors) { if(eigenvectors) {
gsl_matrix_complex_set_col(Eigenvectors, KRetained, &(Vk.vector)); gsl_matrix_complex_set_col(eigenvectors, KRetained, &(Vk.vector));
gsl_vector_set(Solver->Residuals, KRetained, residual); gsl_vector_set(solver->residuals, KRetained, residual);
} }
++KRetained; ++KRetained;
} }
@ -365,42 +344,22 @@ int ProcessAMatrices(BeynSolver *Solver, beyn_function_M_gsl_t M_function,
return KRetained; return KRetained;
} }
/***************************************************************/
/***************************************************************/
/***************************************************************/
#if 0
int BeynSolve(BeynSolver *Solver, beyn_function_M_t M_function,
beyn_function_M_inv_Vhat_t M_inv_Vhat_function, void *Params,
double complex z0, double Rx, double Ry, int N)
#endif
int beyn_solve_gsl(beyn_result_gsl_t **result, size_t m, size_t l, int beyn_solve_gsl(beyn_result_gsl_t **result, size_t m, size_t l,
beyn_function_M_gsl_t M_function, beyn_function_M_inv_Vhat_gsl_t M_inv_Vhat_function, beyn_function_M_gsl_t M_function, beyn_function_M_inv_Vhat_gsl_t M_inv_Vhat_function,
void *params, const beyn_contour_t *contour, void *params, const beyn_contour_t *contour,
double rank_tol, double res_tol) double rank_tol, double res_tol)
{ {
BeynSolver *Solver = CreateBeynSolver(m, l); BeynSolver *solver = BeynSolver_create(m, l);
/***************************************************************/ const int M = solver->M;
/* force N to be even so we can simultaneously evaluate */ const int L = solver->L;
/* the integral with N/2 quadrature points */ gsl_matrix_complex *A0 = solver->A0;
/***************************************************************/ gsl_matrix_complex *A1 = solver->A1;
gsl_matrix_complex *A0_coarse = solver->A0_coarse;
// if ( (N%2)==1 ) N++; gsl_matrix_complex *A1_coarse = solver->A1_coarse;
gsl_matrix_complex *MInvVHat = solver->MInvVHat;
/*if (Rx==Ry) gsl_matrix_complex *VHat = solver->VHat;
printf("Applying Beyn method with z0=%s,R=%e,N=%i...\n",z2s(z0),Rx,N);
else
printf("Applying Beyn method with z0=%s,Rx=%e,Ry=%e,N=%i...\n",z2s(z0),Rx,Ry,N);
*/
const int M = Solver->M;
const int L = Solver->L;
gsl_matrix_complex *A0 = Solver->A0;
gsl_matrix_complex *A1 = Solver->A1;
gsl_matrix_complex *A0Coarse = Solver->A0Coarse;
gsl_matrix_complex *A1Coarse = Solver->A1Coarse;
gsl_matrix_complex *MInvVHat = Solver->MInvVHat;
gsl_matrix_complex *VHat = Solver->VHat;
/***************************************************************/ /***************************************************************/
/* evaluate contour integrals by numerical quadrature to get */ /* evaluate contour integrals by numerical quadrature to get */
@ -409,18 +368,17 @@ int beyn_solve_gsl(beyn_result_gsl_t **result, size_t m, size_t l,
gsl_matrix_complex_set_zero(A0); gsl_matrix_complex_set_zero(A0);
gsl_matrix_complex_set_zero(A1); gsl_matrix_complex_set_zero(A1);
gsl_matrix_complex_set_zero(A0Coarse); gsl_matrix_complex_set_zero(A0_coarse);
gsl_matrix_complex_set_zero(A1Coarse); gsl_matrix_complex_set_zero(A1_coarse);
size_t N = contour->n; const size_t N = contour->n;
//double DeltaTheta = 2.0*M_PI / ((double)N); if(N & 1) QPMS_WARN("Contour discretisation point number is odd (%zd),"
printf(" Evaluating contour integral (%zd points)...\n",N); " the error estimates might be a bit off.", N);
const complex double z0 = contour->centre; const complex double z0 = contour->centre;
for(int n=0; n<N; n++) { for(int n=0; n<N; n++) {
const complex double z = contour->z_dz[n][0]; const complex double z = contour->z_dz[n][0];
const complex double dz = contour->z_dz[n][1]; const complex double dz = contour->z_dz[n][1];
//MInvVHat->Copy(VHat);
// Mitä varten tämä kopiointi on?
gsl_matrix_complex_memcpy(MInvVHat, VHat); gsl_matrix_complex_memcpy(MInvVHat, VHat);
// Tän pitäis kutsua eval_WT // Tän pitäis kutsua eval_WT
@ -443,41 +401,39 @@ int beyn_solve_gsl(beyn_result_gsl_t **result, size_t m, size_t l,
free(pivot); free(pivot);
gsl_matrix_complex_free(Mmat); gsl_matrix_complex_free(Mmat);
} }
//UserFunc(z0+zz, params, VHat, MInvVHat);
gsl_matrix_complex_scale(MInvVHat, cs2g(dz)); gsl_matrix_complex_scale(MInvVHat, cs2g(dz));
gsl_matrix_complex_add(A0, MInvVHat); gsl_matrix_complex_add(A0, MInvVHat);
if((n%2)==0) { if((n%2)==0) {
gsl_matrix_complex_add(A0Coarse, MInvVHat); gsl_matrix_complex_add(A0_coarse, MInvVHat);
gsl_matrix_complex_add(A0Coarse, MInvVHat); gsl_matrix_complex_add(A0_coarse, MInvVHat);
} }
gsl_matrix_complex_scale(MInvVHat, cs2g(z - z0)); gsl_matrix_complex_scale(MInvVHat, cs2g(z - z0));
gsl_matrix_complex_add(A1, MInvVHat); gsl_matrix_complex_add(A1, MInvVHat);
if((n%2)==0) { if((n%2)==0) {
gsl_matrix_complex_add(A1Coarse, MInvVHat); gsl_matrix_complex_add(A1_coarse, MInvVHat);
gsl_matrix_complex_add(A1Coarse, MInvVHat); gsl_matrix_complex_add(A1_coarse, MInvVHat);
} }
} }
gsl_vector_complex *Eigenvalues = Solver->Eigenvalues; gsl_vector_complex *eigenvalues = solver->eigenvalues;
gsl_vector_complex *EVErrors = Solver->EVErrors; gsl_vector_complex *eigenvalue_errors = solver->eigenvalue_errors;
gsl_matrix_complex *Eigenvectors = Solver->Eigenvectors; gsl_matrix_complex *eigenvectors = solver->eigenvectors;
int K = ProcessAMatrices(Solver, M_function, params, A0, A1, z0, Eigenvalues, Eigenvectors, rank_tol, res_tol); int K = beyn_process_matrices(solver, M_function, params, A0, A1, z0, eigenvalues, eigenvectors, rank_tol, res_tol);
int KCoarse = ProcessAMatrices(Solver, M_function, params, A0Coarse, A1Coarse, z0, EVErrors, Eigenvectors, rank_tol, res_tol); int K_coarse = beyn_process_matrices(solver, M_function, params, A0_coarse, A1_coarse, z0, eigenvalue_errors, eigenvectors, rank_tol, res_tol);
// Log("{K,KCoarse}={%i,%i}",K,KCoarse);
gsl_blas_zaxpy(gsl_complex_rect(-1,0), Eigenvalues, EVErrors); gsl_blas_zaxpy(gsl_complex_rect(-1,0), eigenvalues, eigenvalue_errors);
// TODO Original did also fabs on the complex and real parts ^^^. // TODO Original did also fabs on the complex and real parts ^^^.
QPMS_CRASHING_MALLOC(*result, sizeof(beyn_result_gsl_t)); QPMS_CRASHING_MALLOC(*result, sizeof(beyn_result_gsl_t));
(*result)->eigval = Solver->Eigenvalues; (*result)->eigval = solver->eigenvalues;
(*result)->eigval_err = Solver->EVErrors; (*result)->eigval_err = solver->eigenvalue_errors;
(*result)->residuals = Solver->Residuals; (*result)->residuals = solver->residuals;
(*result)->eigvec = Solver->Eigenvectors; (*result)->eigvec = solver->eigenvectors;
DestroyBeynSolverPartial(Solver); BeynSolver_free_partial(solver);
return K; return K;
} }