#include "f2c.h" #include "blaswrap.h" /* Table of constant values */ static complex c_b1 = {0.f,0.f}; static complex c_b2 = {1.f,0.f}; /* Subroutine */ int cget22_(char *transa, char *transe, char *transw, integer *n, complex *a, integer *lda, complex *e, integer *lde, complex *w, complex *work, real *rwork, real *result) { /* System generated locals */ integer a_dim1, a_offset, e_dim1, e_offset, i__1, i__2, i__3, i__4; real r__1, r__2, r__3, r__4; complex q__1, q__2; /* Builtin functions */ double r_imag(complex *); void r_cnjg(complex *, complex *); /* Local variables */ integer j; real ulp; integer joff, jcol, jvec; real unfl; integer jrow; real temp1; extern /* Subroutine */ int cgemm_(char *, char *, integer *, integer *, integer *, complex *, complex *, integer *, complex *, integer *, complex *, complex *, integer *); extern logical lsame_(char *, char *); char norma[1]; real anorm; char norme[1]; real enorm; complex wtemp; extern doublereal clange_(char *, integer *, integer *, complex *, integer *, real *), slamch_(char *); extern /* Subroutine */ int claset_(char *, integer *, integer *, complex *, complex *, complex *, integer *); real enrmin, enrmax; integer itrnse; real errnrm; integer itrnsw; /* -- LAPACK test routine (version 3.1) -- */ /* Univ. of Tennessee, Univ. of California Berkeley and NAG Ltd.. */ /* November 2006 */ /* .. Scalar Arguments .. */ /* .. */ /* .. Array Arguments .. */ /* .. */ /* Purpose */ /* ======= */ /* CGET22 does an eigenvector check. */ /* The basic test is: */ /* RESULT(1) = | A E - E W | / ( |A| |E| ulp ) */ /* using the 1-norm. It also tests the normalization of E: */ /* RESULT(2) = max | m-norm(E(j)) - 1 | / ( n ulp ) */ /* j */ /* where E(j) is the j-th eigenvector, and m-norm is the max-norm of a */ /* vector. The max-norm of a complex n-vector x in this case is the */ /* maximum of |re(x(i)| + |im(x(i)| over i = 1, ..., n. */ /* Arguments */ /* ========== */ /* TRANSA (input) CHARACTER*1 */ /* Specifies whether or not A is transposed. */ /* = 'N': No transpose */ /* = 'T': Transpose */ /* = 'C': Conjugate transpose */ /* TRANSE (input) CHARACTER*1 */ /* Specifies whether or not E is transposed. */ /* = 'N': No transpose, eigenvectors are in columns of E */ /* = 'T': Transpose, eigenvectors are in rows of E */ /* = 'C': Conjugate transpose, eigenvectors are in rows of E */ /* TRANSW (input) CHARACTER*1 */ /* Specifies whether or not W is transposed. */ /* = 'N': No transpose */ /* = 'T': Transpose, same as TRANSW = 'N' */ /* = 'C': Conjugate transpose, use -WI(j) instead of WI(j) */ /* N (input) INTEGER */ /* The order of the matrix A. N >= 0. */ /* A (input) COMPLEX array, dimension (LDA,N) */ /* The matrix whose eigenvectors are in E. */ /* LDA (input) INTEGER */ /* The leading dimension of the array A. LDA >= max(1,N). */ /* E (input) COMPLEX array, dimension (LDE,N) */ /* The matrix of eigenvectors. If TRANSE = 'N', the eigenvectors */ /* are stored in the columns of E, if TRANSE = 'T' or 'C', the */ /* eigenvectors are stored in the rows of E. */ /* LDE (input) INTEGER */ /* The leading dimension of the array E. LDE >= max(1,N). */ /* W (input) COMPLEX array, dimension (N) */ /* The eigenvalues of A. */ /* WORK (workspace) COMPLEX array, dimension (N*N) */ /* RWORK (workspace) REAL array, dimension (N) */ /* RESULT (output) REAL array, dimension (2) */ /* RESULT(1) = | A E - E W | / ( |A| |E| ulp ) */ /* RESULT(2) = max | m-norm(E(j)) - 1 | / ( n ulp ) */ /* j */ /* ===================================================================== */ /* .. Parameters .. */ /* .. */ /* .. Local Scalars .. */ /* .. */ /* .. External Functions .. */ /* .. */ /* .. External Subroutines .. */ /* .. */ /* .. Intrinsic Functions .. */ /* .. */ /* .. Executable Statements .. */ /* Initialize RESULT (in case N=0) */ /* Parameter adjustments */ a_dim1 = *lda; a_offset = 1 + a_dim1; a -= a_offset; e_dim1 = *lde; e_offset = 1 + e_dim1; e -= e_offset; --w; --work; --rwork; --result; /* Function Body */ result[1] = 0.f; result[2] = 0.f; if (*n <= 0) { return 0; } unfl = slamch_("Safe minimum"); ulp = slamch_("Precision"); itrnse = 0; itrnsw = 0; *(unsigned char *)norma = 'O'; *(unsigned char *)norme = 'O'; if (lsame_(transa, "T") || lsame_(transa, "C")) { *(unsigned char *)norma = 'I'; } if (lsame_(transe, "T")) { itrnse = 1; *(unsigned char *)norme = 'I'; } else if (lsame_(transe, "C")) { itrnse = 2; *(unsigned char *)norme = 'I'; } if (lsame_(transw, "C")) { itrnsw = 1; } /* Normalization of E: */ enrmin = 1.f / ulp; enrmax = 0.f; if (itrnse == 0) { i__1 = *n; for (jvec = 1; jvec <= i__1; ++jvec) { temp1 = 0.f; i__2 = *n; for (j = 1; j <= i__2; ++j) { /* Computing MAX */ i__3 = j + jvec * e_dim1; r__3 = temp1, r__4 = (r__1 = e[i__3].r, dabs(r__1)) + (r__2 = r_imag(&e[j + jvec * e_dim1]), dabs(r__2)); temp1 = dmax(r__3,r__4); /* L10: */ } enrmin = dmin(enrmin,temp1); enrmax = dmax(enrmax,temp1); /* L20: */ } } else { i__1 = *n; for (jvec = 1; jvec <= i__1; ++jvec) { rwork[jvec] = 0.f; /* L30: */ } i__1 = *n; for (j = 1; j <= i__1; ++j) { i__2 = *n; for (jvec = 1; jvec <= i__2; ++jvec) { /* Computing MAX */ i__3 = jvec + j * e_dim1; r__3 = rwork[jvec], r__4 = (r__1 = e[i__3].r, dabs(r__1)) + ( r__2 = r_imag(&e[jvec + j * e_dim1]), dabs(r__2)); rwork[jvec] = dmax(r__3,r__4); /* L40: */ } /* L50: */ } i__1 = *n; for (jvec = 1; jvec <= i__1; ++jvec) { /* Computing MIN */ r__1 = enrmin, r__2 = rwork[jvec]; enrmin = dmin(r__1,r__2); /* Computing MAX */ r__1 = enrmax, r__2 = rwork[jvec]; enrmax = dmax(r__1,r__2); /* L60: */ } } /* Norm of A: */ /* Computing MAX */ r__1 = clange_(norma, n, n, &a[a_offset], lda, &rwork[1]); anorm = dmax(r__1,unfl); /* Norm of E: */ /* Computing MAX */ r__1 = clange_(norme, n, n, &e[e_offset], lde, &rwork[1]); enorm = dmax(r__1,ulp); /* Norm of error: */ /* Error = AE - EW */ claset_("Full", n, n, &c_b1, &c_b1, &work[1], n); joff = 0; i__1 = *n; for (jcol = 1; jcol <= i__1; ++jcol) { if (itrnsw == 0) { i__2 = jcol; wtemp.r = w[i__2].r, wtemp.i = w[i__2].i; } else { r_cnjg(&q__1, &w[jcol]); wtemp.r = q__1.r, wtemp.i = q__1.i; } if (itrnse == 0) { i__2 = *n; for (jrow = 1; jrow <= i__2; ++jrow) { i__3 = joff + jrow; i__4 = jrow + jcol * e_dim1; q__1.r = e[i__4].r * wtemp.r - e[i__4].i * wtemp.i, q__1.i = e[i__4].r * wtemp.i + e[i__4].i * wtemp.r; work[i__3].r = q__1.r, work[i__3].i = q__1.i; /* L70: */ } } else if (itrnse == 1) { i__2 = *n; for (jrow = 1; jrow <= i__2; ++jrow) { i__3 = joff + jrow; i__4 = jcol + jrow * e_dim1; q__1.r = e[i__4].r * wtemp.r - e[i__4].i * wtemp.i, q__1.i = e[i__4].r * wtemp.i + e[i__4].i * wtemp.r; work[i__3].r = q__1.r, work[i__3].i = q__1.i; /* L80: */ } } else { i__2 = *n; for (jrow = 1; jrow <= i__2; ++jrow) { i__3 = joff + jrow; r_cnjg(&q__2, &e[jcol + jrow * e_dim1]); q__1.r = q__2.r * wtemp.r - q__2.i * wtemp.i, q__1.i = q__2.r * wtemp.i + q__2.i * wtemp.r; work[i__3].r = q__1.r, work[i__3].i = q__1.i; /* L90: */ } } joff += *n; /* L100: */ } q__1.r = -1.f, q__1.i = -0.f; cgemm_(transa, transe, n, n, n, &c_b2, &a[a_offset], lda, &e[e_offset], lde, &q__1, &work[1], n); errnrm = clange_("One", n, n, &work[1], n, &rwork[1]) / enorm; /* Compute RESULT(1) (avoiding under/overflow) */ if (anorm > errnrm) { result[1] = errnrm / anorm / ulp; } else { if (anorm < 1.f) { result[1] = dmin(errnrm,anorm) / anorm / ulp; } else { /* Computing MIN */ r__1 = errnrm / anorm; result[1] = dmin(r__1,1.f) / ulp; } } /* Compute RESULT(2) : the normalization error in E. */ /* Computing MAX */ r__3 = (r__1 = enrmax - 1.f, dabs(r__1)), r__4 = (r__2 = enrmin - 1.f, dabs(r__2)); result[2] = dmax(r__3,r__4) / ((real) (*n) * ulp); return 0; /* End of CGET22 */ } /* cget22_ */