14 typedef long long BLASLONG;
15 typedef unsigned long long BLASULONG;
17 typedef long BLASLONG;
18 typedef unsigned long BLASULONG;
22 typedef BLASLONG blasint;
24 #define blasabs(x) llabs(x)
26 #define blasabs(x) labs(x)
30 #define blasabs(x) abs(x)
33 typedef blasint integer;
35 typedef unsigned int uinteger;
36 typedef char *address;
37 typedef short int shortint;
39 typedef double doublereal;
40 typedef struct { real r, i; } complex;
41 typedef struct { doublereal r, i; } doublecomplex;
43 static inline _Fcomplex Cf(complex *z) {_Fcomplex zz={z->r , z->i}; return zz;}
44 static inline _Dcomplex Cd(doublecomplex *z) {_Dcomplex zz={z->r , z->i};return zz;}
45 static inline _Fcomplex * _pCf(complex *z) {return (_Fcomplex*)z;}
46 static inline _Dcomplex * _pCd(doublecomplex *z) {return (_Dcomplex*)z;}
48 static inline _Complex float Cf(complex *z) {return z->r + z->i*_Complex_I;}
49 static inline _Complex double Cd(doublecomplex *z) {return z->r + z->i*_Complex_I;}
50 static inline _Complex float * _pCf(complex *z) {return (_Complex float*)z;}
51 static inline _Complex double * _pCd(doublecomplex *z) {return (_Complex double*)z;}
53 #define pCf(z) (*_pCf(z))
54 #define pCd(z) (*_pCd(z))
56 typedef short int shortlogical;
57 typedef char logical1;
58 typedef char integer1;
63 /* Extern is for use with -E */
74 /*external read, write*/
83 /*internal read, write*/
113 /*rewind, backspace, endfile*/
125 ftnint *inex; /*parameters in standard's order*/
151 union Multitype { /* for multiple entry points */
162 typedef union Multitype Multitype;
164 struct Vardesc { /* for Namelist */
170 typedef struct Vardesc Vardesc;
177 typedef struct Namelist Namelist;
179 #define abs(x) ((x) >= 0 ? (x) : -(x))
180 #define dabs(x) (fabs(x))
181 #define f2cmin(a,b) ((a) <= (b) ? (a) : (b))
182 #define f2cmax(a,b) ((a) >= (b) ? (a) : (b))
183 #define dmin(a,b) (f2cmin(a,b))
184 #define dmax(a,b) (f2cmax(a,b))
185 #define bit_test(a,b) ((a) >> (b) & 1)
186 #define bit_clear(a,b) ((a) & ~((uinteger)1 << (b)))
187 #define bit_set(a,b) ((a) | ((uinteger)1 << (b)))
189 #define abort_() { sig_die("Fortran abort routine called", 1); }
190 #define c_abs(z) (cabsf(Cf(z)))
191 #define c_cos(R,Z) { pCf(R)=ccos(Cf(Z)); }
193 #define c_div(c, a, b) {Cf(c)._Val[0] = (Cf(a)._Val[0]/Cf(b)._Val[0]); Cf(c)._Val[1]=(Cf(a)._Val[1]/Cf(b)._Val[1]);}
194 #define z_div(c, a, b) {Cd(c)._Val[0] = (Cd(a)._Val[0]/Cd(b)._Val[0]); Cd(c)._Val[1]=(Cd(a)._Val[1]/Cd(b)._Val[1]);}
196 #define c_div(c, a, b) {pCf(c) = Cf(a)/Cf(b);}
197 #define z_div(c, a, b) {pCd(c) = Cd(a)/Cd(b);}
199 #define c_exp(R, Z) {pCf(R) = cexpf(Cf(Z));}
200 #define c_log(R, Z) {pCf(R) = clogf(Cf(Z));}
201 #define c_sin(R, Z) {pCf(R) = csinf(Cf(Z));}
202 //#define c_sqrt(R, Z) {*(R) = csqrtf(Cf(Z));}
203 #define c_sqrt(R, Z) {pCf(R) = csqrtf(Cf(Z));}
204 #define d_abs(x) (fabs(*(x)))
205 #define d_acos(x) (acos(*(x)))
206 #define d_asin(x) (asin(*(x)))
207 #define d_atan(x) (atan(*(x)))
208 #define d_atn2(x, y) (atan2(*(x),*(y)))
209 #define d_cnjg(R, Z) { pCd(R) = conj(Cd(Z)); }
210 #define r_cnjg(R, Z) { pCf(R) = conjf(Cf(Z)); }
211 #define d_cos(x) (cos(*(x)))
212 #define d_cosh(x) (cosh(*(x)))
213 #define d_dim(__a, __b) ( *(__a) > *(__b) ? *(__a) - *(__b) : 0.0 )
214 #define d_exp(x) (exp(*(x)))
215 #define d_imag(z) (cimag(Cd(z)))
216 #define r_imag(z) (cimagf(Cf(z)))
217 #define d_int(__x) (*(__x)>0 ? floor(*(__x)) : -floor(- *(__x)))
218 #define r_int(__x) (*(__x)>0 ? floor(*(__x)) : -floor(- *(__x)))
219 #define d_lg10(x) ( 0.43429448190325182765 * log(*(x)) )
220 #define r_lg10(x) ( 0.43429448190325182765 * log(*(x)) )
221 #define d_log(x) (log(*(x)))
222 #define d_mod(x, y) (fmod(*(x), *(y)))
223 #define u_nint(__x) ((__x)>=0 ? floor((__x) + .5) : -floor(.5 - (__x)))
224 #define d_nint(x) u_nint(*(x))
225 #define u_sign(__a,__b) ((__b) >= 0 ? ((__a) >= 0 ? (__a) : -(__a)) : -((__a) >= 0 ? (__a) : -(__a)))
226 #define d_sign(a,b) u_sign(*(a),*(b))
227 #define r_sign(a,b) u_sign(*(a),*(b))
228 #define d_sin(x) (sin(*(x)))
229 #define d_sinh(x) (sinh(*(x)))
230 #define d_sqrt(x) (sqrt(*(x)))
231 #define d_tan(x) (tan(*(x)))
232 #define d_tanh(x) (tanh(*(x)))
233 #define i_abs(x) abs(*(x))
234 #define i_dnnt(x) ((integer)u_nint(*(x)))
235 #define i_len(s, n) (n)
236 #define i_nint(x) ((integer)u_nint(*(x)))
237 #define i_sign(a,b) ((integer)u_sign((integer)*(a),(integer)*(b)))
238 #define pow_dd(ap, bp) ( pow(*(ap), *(bp)))
239 #define pow_si(B,E) spow_ui(*(B),*(E))
240 #define pow_ri(B,E) spow_ui(*(B),*(E))
241 #define pow_di(B,E) dpow_ui(*(B),*(E))
242 #define pow_zi(p, a, b) {pCd(p) = zpow_ui(Cd(a), *(b));}
243 #define pow_ci(p, a, b) {pCf(p) = cpow_ui(Cf(a), *(b));}
244 #define pow_zz(R,A,B) {pCd(R) = cpow(Cd(A),*(B));}
245 #define s_cat(lpp, rpp, rnp, np, llp) { ftnlen i, nc, ll; char *f__rp, *lp; ll = (llp); lp = (lpp); for(i=0; i < (int)*(np); ++i) { nc = ll; if((rnp)[i] < nc) nc = (rnp)[i]; ll -= nc; f__rp = (rpp)[i]; while(--nc >= 0) *lp++ = *(f__rp)++; } while(--ll >= 0) *lp++ = ' '; }
246 #define s_cmp(a,b,c,d) ((integer)strncmp((a),(b),f2cmin((c),(d))))
247 #define s_copy(A,B,C,D) { int __i,__m; for (__i=0, __m=f2cmin((C),(D)); __i<__m && (B)[__i] != 0; ++__i) (A)[__i] = (B)[__i]; }
248 #define sig_die(s, kill) { exit(1); }
249 #define s_stop(s, n) {exit(0);}
250 static char junk[] = "\n@(#)LIBF77 VERSION 19990503\n";
251 #define z_abs(z) (cabs(Cd(z)))
252 #define z_exp(R, Z) {pCd(R) = cexp(Cd(Z));}
253 #define z_sqrt(R, Z) {pCd(R) = csqrt(Cd(Z));}
254 #define myexit_() break;
255 #define mycycle_() continue;
256 #define myceiling_(w) {ceil(w)}
257 #define myhuge_(w) {HUGE_VAL}
258 //#define mymaxloc_(w,s,e,n) {if (sizeof(*(w)) == sizeof(double)) dmaxloc_((w),*(s),*(e),n); else dmaxloc_((w),*(s),*(e),n);}
259 #define mymaxloc_(w,s,e,n) {dmaxloc_(w,*(s),*(e),n)}
261 /* procedure parameter types for -A and -C++ */
263 #define F2C_proc_par_types 1
265 typedef logical (*L_fp)(...);
267 typedef logical (*L_fp)();
270 static float spow_ui(float x, integer n) {
271 float pow=1.0; unsigned long int u;
273 if(n < 0) n = -n, x = 1/x;
282 static double dpow_ui(double x, integer n) {
283 double pow=1.0; unsigned long int u;
285 if(n < 0) n = -n, x = 1/x;
295 static _Fcomplex cpow_ui(complex x, integer n) {
296 complex pow={1.0,0.0}; unsigned long int u;
298 if(n < 0) n = -n, x.r = 1/x.r, x.i=1/x.i;
300 if(u & 01) pow.r *= x.r, pow.i *= x.i;
301 if(u >>= 1) x.r *= x.r, x.i *= x.i;
305 _Fcomplex p={pow.r, pow.i};
309 static _Complex float cpow_ui(_Complex float x, integer n) {
310 _Complex float pow=1.0; unsigned long int u;
312 if(n < 0) n = -n, x = 1/x;
323 static _Dcomplex zpow_ui(_Dcomplex x, integer n) {
324 _Dcomplex pow={1.0,0.0}; unsigned long int u;
326 if(n < 0) n = -n, x._Val[0] = 1/x._Val[0], x._Val[1] =1/x._Val[1];
328 if(u & 01) pow._Val[0] *= x._Val[0], pow._Val[1] *= x._Val[1];
329 if(u >>= 1) x._Val[0] *= x._Val[0], x._Val[1] *= x._Val[1];
333 _Dcomplex p = {pow._Val[0], pow._Val[1]};
337 static _Complex double zpow_ui(_Complex double x, integer n) {
338 _Complex double pow=1.0; unsigned long int u;
340 if(n < 0) n = -n, x = 1/x;
350 static integer pow_ii(integer x, integer n) {
351 integer pow; unsigned long int u;
353 if (n == 0 || x == 1) pow = 1;
354 else if (x != -1) pow = x == 0 ? 1/x : 0;
357 if ((n > 0) || !(n == 0 || x == 1 || x != -1)) {
367 static integer dmaxloc_(double *w, integer s, integer e, integer *n)
369 double m; integer i, mi;
370 for(m=w[s-1], mi=s, i=s+1; i<=e; i++)
371 if (w[i-1]>m) mi=i ,m=w[i-1];
374 static integer smaxloc_(float *w, integer s, integer e, integer *n)
376 float m; integer i, mi;
377 for(m=w[s-1], mi=s, i=s+1; i<=e; i++)
378 if (w[i-1]>m) mi=i ,m=w[i-1];
381 static inline void cdotc_(complex *z, integer *n_, complex *x, integer *incx_, complex *y, integer *incy_) {
382 integer n = *n_, incx = *incx_, incy = *incy_, i;
384 _Fcomplex zdotc = {0.0, 0.0};
385 if (incx == 1 && incy == 1) {
386 for (i=0;i<n;i++) { /* zdotc = zdotc + dconjg(x(i))* y(i) */
387 zdotc._Val[0] += conjf(Cf(&x[i]))._Val[0] * Cf(&y[i])._Val[0];
388 zdotc._Val[1] += conjf(Cf(&x[i]))._Val[1] * Cf(&y[i])._Val[1];
391 for (i=0;i<n;i++) { /* zdotc = zdotc + dconjg(x(i))* y(i) */
392 zdotc._Val[0] += conjf(Cf(&x[i*incx]))._Val[0] * Cf(&y[i*incy])._Val[0];
393 zdotc._Val[1] += conjf(Cf(&x[i*incx]))._Val[1] * Cf(&y[i*incy])._Val[1];
399 _Complex float zdotc = 0.0;
400 if (incx == 1 && incy == 1) {
401 for (i=0;i<n;i++) { /* zdotc = zdotc + dconjg(x(i))* y(i) */
402 zdotc += conjf(Cf(&x[i])) * Cf(&y[i]);
405 for (i=0;i<n;i++) { /* zdotc = zdotc + dconjg(x(i))* y(i) */
406 zdotc += conjf(Cf(&x[i*incx])) * Cf(&y[i*incy]);
412 static inline void zdotc_(doublecomplex *z, integer *n_, doublecomplex *x, integer *incx_, doublecomplex *y, integer *incy_) {
413 integer n = *n_, incx = *incx_, incy = *incy_, i;
415 _Dcomplex zdotc = {0.0, 0.0};
416 if (incx == 1 && incy == 1) {
417 for (i=0;i<n;i++) { /* zdotc = zdotc + dconjg(x(i))* y(i) */
418 zdotc._Val[0] += conj(Cd(&x[i]))._Val[0] * Cd(&y[i])._Val[0];
419 zdotc._Val[1] += conj(Cd(&x[i]))._Val[1] * Cd(&y[i])._Val[1];
422 for (i=0;i<n;i++) { /* zdotc = zdotc + dconjg(x(i))* y(i) */
423 zdotc._Val[0] += conj(Cd(&x[i*incx]))._Val[0] * Cd(&y[i*incy])._Val[0];
424 zdotc._Val[1] += conj(Cd(&x[i*incx]))._Val[1] * Cd(&y[i*incy])._Val[1];
430 _Complex double zdotc = 0.0;
431 if (incx == 1 && incy == 1) {
432 for (i=0;i<n;i++) { /* zdotc = zdotc + dconjg(x(i))* y(i) */
433 zdotc += conj(Cd(&x[i])) * Cd(&y[i]);
436 for (i=0;i<n;i++) { /* zdotc = zdotc + dconjg(x(i))* y(i) */
437 zdotc += conj(Cd(&x[i*incx])) * Cd(&y[i*incy]);
443 static inline void cdotu_(complex *z, integer *n_, complex *x, integer *incx_, complex *y, integer *incy_) {
444 integer n = *n_, incx = *incx_, incy = *incy_, i;
446 _Fcomplex zdotc = {0.0, 0.0};
447 if (incx == 1 && incy == 1) {
448 for (i=0;i<n;i++) { /* zdotc = zdotc + dconjg(x(i))* y(i) */
449 zdotc._Val[0] += Cf(&x[i])._Val[0] * Cf(&y[i])._Val[0];
450 zdotc._Val[1] += Cf(&x[i])._Val[1] * Cf(&y[i])._Val[1];
453 for (i=0;i<n;i++) { /* zdotc = zdotc + dconjg(x(i))* y(i) */
454 zdotc._Val[0] += Cf(&x[i*incx])._Val[0] * Cf(&y[i*incy])._Val[0];
455 zdotc._Val[1] += Cf(&x[i*incx])._Val[1] * Cf(&y[i*incy])._Val[1];
461 _Complex float zdotc = 0.0;
462 if (incx == 1 && incy == 1) {
463 for (i=0;i<n;i++) { /* zdotc = zdotc + dconjg(x(i))* y(i) */
464 zdotc += Cf(&x[i]) * Cf(&y[i]);
467 for (i=0;i<n;i++) { /* zdotc = zdotc + dconjg(x(i))* y(i) */
468 zdotc += Cf(&x[i*incx]) * Cf(&y[i*incy]);
474 static inline void zdotu_(doublecomplex *z, integer *n_, doublecomplex *x, integer *incx_, doublecomplex *y, integer *incy_) {
475 integer n = *n_, incx = *incx_, incy = *incy_, i;
477 _Dcomplex zdotc = {0.0, 0.0};
478 if (incx == 1 && incy == 1) {
479 for (i=0;i<n;i++) { /* zdotc = zdotc + dconjg(x(i))* y(i) */
480 zdotc._Val[0] += Cd(&x[i])._Val[0] * Cd(&y[i])._Val[0];
481 zdotc._Val[1] += Cd(&x[i])._Val[1] * Cd(&y[i])._Val[1];
484 for (i=0;i<n;i++) { /* zdotc = zdotc + dconjg(x(i))* y(i) */
485 zdotc._Val[0] += Cd(&x[i*incx])._Val[0] * Cd(&y[i*incy])._Val[0];
486 zdotc._Val[1] += Cd(&x[i*incx])._Val[1] * Cd(&y[i*incy])._Val[1];
492 _Complex double zdotc = 0.0;
493 if (incx == 1 && incy == 1) {
494 for (i=0;i<n;i++) { /* zdotc = zdotc + dconjg(x(i))* y(i) */
495 zdotc += Cd(&x[i]) * Cd(&y[i]);
498 for (i=0;i<n;i++) { /* zdotc = zdotc + dconjg(x(i))* y(i) */
499 zdotc += Cd(&x[i*incx]) * Cd(&y[i*incy]);
505 /* -- translated by f2c (version 20000121).
506 You must link the resulting object file with the libraries:
507 -lf2c -lm (in that order)
513 /* Table of constant values */
515 static doublecomplex c_b1 = {1.,0.};
516 static integer c__1 = 1;
518 /* > \brief \b ZSYTF2_RK computes the factorization of a complex symmetric indefinite matrix using the bounded
519 Bunch-Kaufman (rook) diagonal pivoting method (BLAS2 unblocked algorithm). */
521 /* =========== DOCUMENTATION =========== */
523 /* Online html documentation available at */
524 /* http://www.netlib.org/lapack/explore-html/ */
527 /* > Download ZSYTF2_RK + dependencies */
528 /* > <a href="http://www.netlib.org/cgi-bin/netlibfiles.tgz?format=tgz&filename=/lapack/lapack_routine/zsytf2_
531 /* > <a href="http://www.netlib.org/cgi-bin/netlibfiles.zip?format=zip&filename=/lapack/lapack_routine/zsytf2_
534 /* > <a href="http://www.netlib.org/cgi-bin/netlibfiles.txt?format=txt&filename=/lapack/lapack_routine/zsytf2_
542 /* SUBROUTINE ZSYTF2_RK( UPLO, N, A, LDA, E, IPIV, INFO ) */
545 /* INTEGER INFO, LDA, N */
546 /* INTEGER IPIV( * ) */
547 /* COMPLEX*16 A( LDA, * ), E ( * ) */
550 /* > \par Purpose: */
554 /* > ZSYTF2_RK computes the factorization of a complex symmetric matrix A */
555 /* > using the bounded Bunch-Kaufman (rook) diagonal pivoting method: */
557 /* > A = P*U*D*(U**T)*(P**T) or A = P*L*D*(L**T)*(P**T), */
559 /* > where U (or L) is unit upper (or lower) triangular matrix, */
560 /* > U**T (or L**T) is the transpose of U (or L), P is a permutation */
561 /* > matrix, P**T is the transpose of P, and D is symmetric and block */
562 /* > diagonal with 1-by-1 and 2-by-2 diagonal blocks. */
564 /* > This is the unblocked version of the algorithm, calling Level 2 BLAS. */
565 /* > For more information see Further Details section. */
571 /* > \param[in] UPLO */
573 /* > UPLO is CHARACTER*1 */
574 /* > Specifies whether the upper or lower triangular part of the */
575 /* > symmetric matrix A is stored: */
576 /* > = 'U': Upper triangular */
577 /* > = 'L': Lower triangular */
583 /* > The order of the matrix A. N >= 0. */
586 /* > \param[in,out] A */
588 /* > A is COMPLEX*16 array, dimension (LDA,N) */
589 /* > On entry, the symmetric matrix A. */
590 /* > If UPLO = 'U': the leading N-by-N upper triangular part */
591 /* > of A contains the upper triangular part of the matrix A, */
592 /* > and the strictly lower triangular part of A is not */
595 /* > If UPLO = 'L': the leading N-by-N lower triangular part */
596 /* > of A contains the lower triangular part of the matrix A, */
597 /* > and the strictly upper triangular part of A is not */
600 /* > On exit, contains: */
601 /* > a) ONLY diagonal elements of the symmetric block diagonal */
602 /* > matrix D on the diagonal of A, i.e. D(k,k) = A(k,k); */
603 /* > (superdiagonal (or subdiagonal) elements of D */
604 /* > are stored on exit in array E), and */
605 /* > b) If UPLO = 'U': factor U in the superdiagonal part of A. */
606 /* > If UPLO = 'L': factor L in the subdiagonal part of A. */
609 /* > \param[in] LDA */
611 /* > LDA is INTEGER */
612 /* > The leading dimension of the array A. LDA >= f2cmax(1,N). */
615 /* > \param[out] E */
617 /* > E is COMPLEX*16 array, dimension (N) */
618 /* > On exit, contains the superdiagonal (or subdiagonal) */
619 /* > elements of the symmetric block diagonal matrix D */
620 /* > with 1-by-1 or 2-by-2 diagonal blocks, where */
621 /* > If UPLO = 'U': E(i) = D(i-1,i), i=2:N, E(1) is set to 0; */
622 /* > If UPLO = 'L': E(i) = D(i+1,i), i=1:N-1, E(N) is set to 0. */
624 /* > NOTE: For 1-by-1 diagonal block D(k), where */
625 /* > 1 <= k <= N, the element E(k) is set to 0 in both */
626 /* > UPLO = 'U' or UPLO = 'L' cases. */
629 /* > \param[out] IPIV */
631 /* > IPIV is INTEGER array, dimension (N) */
632 /* > IPIV describes the permutation matrix P in the factorization */
633 /* > of matrix A as follows. The absolute value of IPIV(k) */
634 /* > represents the index of row and column that were */
635 /* > interchanged with the k-th row and column. The value of UPLO */
636 /* > describes the order in which the interchanges were applied. */
637 /* > Also, the sign of IPIV represents the block structure of */
638 /* > the symmetric block diagonal matrix D with 1-by-1 or 2-by-2 */
639 /* > diagonal blocks which correspond to 1 or 2 interchanges */
640 /* > at each factorization step. For more info see Further */
641 /* > Details section. */
643 /* > If UPLO = 'U', */
644 /* > ( in factorization order, k decreases from N to 1 ): */
645 /* > a) A single positive entry IPIV(k) > 0 means: */
646 /* > D(k,k) is a 1-by-1 diagonal block. */
647 /* > If IPIV(k) != k, rows and columns k and IPIV(k) were */
648 /* > interchanged in the matrix A(1:N,1:N); */
649 /* > If IPIV(k) = k, no interchange occurred. */
651 /* > b) A pair of consecutive negative entries */
652 /* > IPIV(k) < 0 and IPIV(k-1) < 0 means: */
653 /* > D(k-1:k,k-1:k) is a 2-by-2 diagonal block. */
654 /* > (NOTE: negative entries in IPIV appear ONLY in pairs). */
655 /* > 1) If -IPIV(k) != k, rows and columns */
656 /* > k and -IPIV(k) were interchanged */
657 /* > in the matrix A(1:N,1:N). */
658 /* > If -IPIV(k) = k, no interchange occurred. */
659 /* > 2) If -IPIV(k-1) != k-1, rows and columns */
660 /* > k-1 and -IPIV(k-1) were interchanged */
661 /* > in the matrix A(1:N,1:N). */
662 /* > If -IPIV(k-1) = k-1, no interchange occurred. */
664 /* > c) In both cases a) and b), always ABS( IPIV(k) ) <= k. */
666 /* > d) NOTE: Any entry IPIV(k) is always NONZERO on output. */
668 /* > If UPLO = 'L', */
669 /* > ( in factorization order, k increases from 1 to N ): */
670 /* > a) A single positive entry IPIV(k) > 0 means: */
671 /* > D(k,k) is a 1-by-1 diagonal block. */
672 /* > If IPIV(k) != k, rows and columns k and IPIV(k) were */
673 /* > interchanged in the matrix A(1:N,1:N). */
674 /* > If IPIV(k) = k, no interchange occurred. */
676 /* > b) A pair of consecutive negative entries */
677 /* > IPIV(k) < 0 and IPIV(k+1) < 0 means: */
678 /* > D(k:k+1,k:k+1) is a 2-by-2 diagonal block. */
679 /* > (NOTE: negative entries in IPIV appear ONLY in pairs). */
680 /* > 1) If -IPIV(k) != k, rows and columns */
681 /* > k and -IPIV(k) were interchanged */
682 /* > in the matrix A(1:N,1:N). */
683 /* > If -IPIV(k) = k, no interchange occurred. */
684 /* > 2) If -IPIV(k+1) != k+1, rows and columns */
685 /* > k-1 and -IPIV(k-1) were interchanged */
686 /* > in the matrix A(1:N,1:N). */
687 /* > If -IPIV(k+1) = k+1, no interchange occurred. */
689 /* > c) In both cases a) and b), always ABS( IPIV(k) ) >= k. */
691 /* > d) NOTE: Any entry IPIV(k) is always NONZERO on output. */
694 /* > \param[out] INFO */
696 /* > INFO is INTEGER */
697 /* > = 0: successful exit */
699 /* > < 0: If INFO = -k, the k-th argument had an illegal value */
701 /* > > 0: If INFO = k, the matrix A is singular, because: */
702 /* > If UPLO = 'U': column k in the upper */
703 /* > triangular part of A contains all zeros. */
704 /* > If UPLO = 'L': column k in the lower */
705 /* > triangular part of A contains all zeros. */
707 /* > Therefore D(k,k) is exactly zero, and superdiagonal */
708 /* > elements of column k of U (or subdiagonal elements of */
709 /* > column k of L ) are all zeros. The factorization has */
710 /* > been completed, but the block diagonal matrix D is */
711 /* > exactly singular, and division by zero will occur if */
712 /* > it is used to solve a system of equations. */
714 /* > NOTE: INFO only stores the first occurrence of */
715 /* > a singularity, any subsequent occurrence of singularity */
716 /* > is not stored in INFO even though the factorization */
717 /* > always completes. */
723 /* > \author Univ. of Tennessee */
724 /* > \author Univ. of California Berkeley */
725 /* > \author Univ. of Colorado Denver */
726 /* > \author NAG Ltd. */
728 /* > \date December 2016 */
730 /* > \ingroup complex16SYcomputational */
732 /* > \par Further Details: */
733 /* ===================== */
736 /* > TODO: put further details */
739 /* > \par Contributors: */
740 /* ================== */
744 /* > December 2016, Igor Kozachenko, */
745 /* > Computer Science Division, */
746 /* > University of California, Berkeley */
748 /* > September 2007, Sven Hammarling, Nicholas J. Higham, Craig Lucas, */
749 /* > School of Mathematics, */
750 /* > University of Manchester */
752 /* > 01-01-96 - Based on modifications by */
753 /* > J. Lewis, Boeing Computer Services Company */
754 /* > A. Petitet, Computer Science Dept., */
755 /* > Univ. of Tenn., Knoxville abd , USA */
758 /* ===================================================================== */
759 /* Subroutine */ int zsytf2_rk_(char *uplo, integer *n, doublecomplex *a,
760 integer *lda, doublecomplex *e, integer *ipiv, integer *info)
762 /* System generated locals */
763 integer a_dim1, a_offset, i__1, i__2, i__3, i__4;
764 doublereal d__1, d__2;
765 doublecomplex z__1, z__2, z__3, z__4, z__5, z__6;
767 /* Local variables */
770 extern /* Subroutine */ int zsyr_(char *, integer *, doublecomplex *,
771 doublecomplex *, integer *, doublecomplex *, integer *);
772 integer i__, j, k, p;
775 extern logical lsame_(char *, char *);
776 doublereal dtemp, sfmin;
778 extern /* Subroutine */ int zscal_(integer *, doublecomplex *,
779 doublecomplex *, integer *);
782 extern /* Subroutine */ int zswap_(integer *, doublecomplex *, integer *,
783 doublecomplex *, integer *);
784 doublecomplex d11, d12, d21, d22;
786 extern doublereal dlamch_(char *);
790 extern /* Subroutine */ int xerbla_(char *, integer *, ftnlen);
792 extern integer izamax_(integer *, doublecomplex *, integer *);
794 doublecomplex wkm1, wkp1;
797 /* -- LAPACK computational routine (version 3.7.0) -- */
798 /* -- LAPACK is a software package provided by Univ. of Tennessee, -- */
799 /* -- Univ. of California Berkeley, Univ. of Colorado Denver and NAG Ltd..-- */
803 /* ===================================================================== */
806 /* Test the input parameters. */
808 /* Parameter adjustments */
810 a_offset = 1 + a_dim1 * 1;
817 upper = lsame_(uplo, "U");
818 if (! upper && ! lsame_(uplo, "L")) {
822 } else if (*lda < f2cmax(1,*n)) {
827 xerbla_("ZSYTF2_RK", &i__1, (ftnlen)9);
831 /* Initialize ALPHA for use in choosing pivot block size. */
833 alpha = (sqrt(17.) + 1.) / 8.;
835 /* Compute machine safe minimum */
837 sfmin = dlamch_("S");
841 /* Factorize A as U*D*U**T using the upper triangle of A */
843 /* Initialize the first entry of array E, where superdiagonal */
844 /* elements of D are stored */
846 e[1].r = 0., e[1].i = 0.;
848 /* K is the main loop index, decreasing from N to 1 in steps of */
854 /* If K < 1, exit from loop */
862 /* Determine rows and columns to be interchanged and whether */
863 /* a 1-by-1 or 2-by-2 pivot block will be used */
865 i__1 = k + k * a_dim1;
866 absakk = (d__1 = a[i__1].r, abs(d__1)) + (d__2 = d_imag(&a[k + k *
867 a_dim1]), abs(d__2));
869 /* IMAX is the row-index of the largest off-diagonal element in */
870 /* column K, and COLMAX is its absolute value. */
871 /* Determine both COLMAX and IMAX. */
875 imax = izamax_(&i__1, &a[k * a_dim1 + 1], &c__1);
876 i__1 = imax + k * a_dim1;
877 colmax = (d__1 = a[i__1].r, abs(d__1)) + (d__2 = d_imag(&a[imax +
878 k * a_dim1]), abs(d__2));
883 if (f2cmax(absakk,colmax) == 0.) {
885 /* Column K is zero or underflow: set INFO and continue */
892 /* Set E( K ) to zero */
896 e[i__1].r = 0., e[i__1].i = 0.;
901 /* Test for interchange */
903 /* Equivalent to testing for (used to handle NaN and Inf) */
904 /* ABSAKK.GE.ALPHA*COLMAX */
906 if (! (absakk < alpha * colmax)) {
908 /* no interchange, */
909 /* use 1-by-1 pivot block */
916 /* Loop until pivot found */
920 /* Begin pivot search loop body */
922 /* JMAX is the column-index of the largest off-diagonal */
923 /* element in row IMAX, and ROWMAX is its absolute value. */
924 /* Determine both ROWMAX and JMAX. */
928 jmax = imax + izamax_(&i__1, &a[imax + (imax + 1) *
930 i__1 = imax + jmax * a_dim1;
931 rowmax = (d__1 = a[i__1].r, abs(d__1)) + (d__2 = d_imag(&
932 a[imax + jmax * a_dim1]), abs(d__2));
939 itemp = izamax_(&i__1, &a[imax * a_dim1 + 1], &c__1);
940 i__1 = itemp + imax * a_dim1;
941 dtemp = (d__1 = a[i__1].r, abs(d__1)) + (d__2 = d_imag(&a[
942 itemp + imax * a_dim1]), abs(d__2));
943 if (dtemp > rowmax) {
949 /* Equivalent to testing for (used to handle NaN and Inf) */
950 /* ABS( A( IMAX, IMAX ) ).GE.ALPHA*ROWMAX */
952 i__1 = imax + imax * a_dim1;
953 if (! ((d__1 = a[i__1].r, abs(d__1)) + (d__2 = d_imag(&a[imax
954 + imax * a_dim1]), abs(d__2)) < alpha * rowmax)) {
956 /* interchange rows and columns K and IMAX, */
957 /* use 1-by-1 pivot block */
962 /* Equivalent to testing for ROWMAX .EQ. COLMAX, */
963 /* used to handle NaN and Inf */
965 } else if (p == jmax || rowmax <= colmax) {
967 /* interchange rows and columns K+1 and IMAX, */
968 /* use 2-by-2 pivot block */
975 /* Pivot NOT found, set variables and repeat */
982 /* End pivot search loop body */
990 /* Swap TWO rows and TWO columns */
994 if (kstep == 2 && p != k) {
996 /* Interchange rows and column K and P in the leading */
997 /* submatrix A(1:k,1:k) if we have a 2-by-2 pivot */
1001 zswap_(&i__1, &a[k * a_dim1 + 1], &c__1, &a[p * a_dim1 +
1006 zswap_(&i__1, &a[p + 1 + k * a_dim1], &c__1, &a[p + (p +
1009 i__1 = k + k * a_dim1;
1010 t.r = a[i__1].r, t.i = a[i__1].i;
1011 i__1 = k + k * a_dim1;
1012 i__2 = p + p * a_dim1;
1013 a[i__1].r = a[i__2].r, a[i__1].i = a[i__2].i;
1014 i__1 = p + p * a_dim1;
1015 a[i__1].r = t.r, a[i__1].i = t.i;
1017 /* Convert upper triangle of A into U form by applying */
1018 /* the interchanges in columns k+1:N. */
1022 zswap_(&i__1, &a[k + (k + 1) * a_dim1], lda, &a[p + (k +
1033 /* Interchange rows and columns KK and KP in the leading */
1034 /* submatrix A(1:k,1:k) */
1038 zswap_(&i__1, &a[kk * a_dim1 + 1], &c__1, &a[kp * a_dim1
1041 if (kk > 1 && kp < kk - 1) {
1043 zswap_(&i__1, &a[kp + 1 + kk * a_dim1], &c__1, &a[kp + (
1044 kp + 1) * a_dim1], lda);
1046 i__1 = kk + kk * a_dim1;
1047 t.r = a[i__1].r, t.i = a[i__1].i;
1048 i__1 = kk + kk * a_dim1;
1049 i__2 = kp + kp * a_dim1;
1050 a[i__1].r = a[i__2].r, a[i__1].i = a[i__2].i;
1051 i__1 = kp + kp * a_dim1;
1052 a[i__1].r = t.r, a[i__1].i = t.i;
1054 i__1 = k - 1 + k * a_dim1;
1055 t.r = a[i__1].r, t.i = a[i__1].i;
1056 i__1 = k - 1 + k * a_dim1;
1057 i__2 = kp + k * a_dim1;
1058 a[i__1].r = a[i__2].r, a[i__1].i = a[i__2].i;
1059 i__1 = kp + k * a_dim1;
1060 a[i__1].r = t.r, a[i__1].i = t.i;
1063 /* Convert upper triangle of A into U form by applying */
1064 /* the interchanges in columns k+1:N. */
1068 zswap_(&i__1, &a[kk + (k + 1) * a_dim1], lda, &a[kp + (k
1069 + 1) * a_dim1], lda);
1074 /* Update the leading submatrix */
1078 /* 1-by-1 pivot block D(k): column k now holds */
1080 /* W(k) = U(k)*D(k) */
1082 /* where U(k) is the k-th column of U */
1086 /* Perform a rank-1 update of A(1:k-1,1:k-1) and */
1087 /* store U(k) in column k */
1089 i__1 = k + k * a_dim1;
1090 if ((d__1 = a[i__1].r, abs(d__1)) + (d__2 = d_imag(&a[k +
1091 k * a_dim1]), abs(d__2)) >= sfmin) {
1093 /* Perform a rank-1 update of A(1:k-1,1:k-1) as */
1094 /* A := A - U(k)*D(k)*U(k)**T */
1095 /* = A - W(k)*1/D(k)*W(k)**T */
1097 z_div(&z__1, &c_b1, &a[k + k * a_dim1]);
1098 d11.r = z__1.r, d11.i = z__1.i;
1100 z__1.r = -d11.r, z__1.i = -d11.i;
1101 zsyr_(uplo, &i__1, &z__1, &a[k * a_dim1 + 1], &c__1, &
1104 /* Store U(k) in column k */
1107 zscal_(&i__1, &d11, &a[k * a_dim1 + 1], &c__1);
1110 /* Store L(k) in column K */
1112 i__1 = k + k * a_dim1;
1113 d11.r = a[i__1].r, d11.i = a[i__1].i;
1115 for (ii = 1; ii <= i__1; ++ii) {
1116 i__2 = ii + k * a_dim1;
1117 z_div(&z__1, &a[ii + k * a_dim1], &d11);
1118 a[i__2].r = z__1.r, a[i__2].i = z__1.i;
1122 /* Perform a rank-1 update of A(k+1:n,k+1:n) as */
1123 /* A := A - U(k)*D(k)*U(k)**T */
1124 /* = A - W(k)*(1/D(k))*W(k)**T */
1125 /* = A - (W(k)/D(k))*(D(k))*(W(k)/D(K))**T */
1128 z__1.r = -d11.r, z__1.i = -d11.i;
1129 zsyr_(uplo, &i__1, &z__1, &a[k * a_dim1 + 1], &c__1, &
1133 /* Store the superdiagonal element of D in array E */
1136 e[i__1].r = 0., e[i__1].i = 0.;
1142 /* 2-by-2 pivot block D(k): columns k and k-1 now hold */
1144 /* ( W(k-1) W(k) ) = ( U(k-1) U(k) )*D(k) */
1146 /* where U(k) and U(k-1) are the k-th and (k-1)-th columns */
1149 /* Perform a rank-2 update of A(1:k-2,1:k-2) as */
1151 /* A := A - ( U(k-1) U(k) )*D(k)*( U(k-1) U(k) )**T */
1152 /* = A - ( ( A(k-1)A(k) )*inv(D(k)) ) * ( A(k-1)A(k) )**T */
1154 /* and store L(k) and L(k+1) in columns k and k+1 */
1158 i__1 = k - 1 + k * a_dim1;
1159 d12.r = a[i__1].r, d12.i = a[i__1].i;
1160 z_div(&z__1, &a[k - 1 + (k - 1) * a_dim1], &d12);
1161 d22.r = z__1.r, d22.i = z__1.i;
1162 z_div(&z__1, &a[k + k * a_dim1], &d12);
1163 d11.r = z__1.r, d11.i = z__1.i;
1164 z__3.r = d11.r * d22.r - d11.i * d22.i, z__3.i = d11.r *
1165 d22.i + d11.i * d22.r;
1166 z__2.r = z__3.r - 1., z__2.i = z__3.i + 0.;
1167 z_div(&z__1, &c_b1, &z__2);
1168 t.r = z__1.r, t.i = z__1.i;
1170 for (j = k - 2; j >= 1; --j) {
1172 i__1 = j + (k - 1) * a_dim1;
1173 z__3.r = d11.r * a[i__1].r - d11.i * a[i__1].i,
1174 z__3.i = d11.r * a[i__1].i + d11.i * a[i__1]
1176 i__2 = j + k * a_dim1;
1177 z__2.r = z__3.r - a[i__2].r, z__2.i = z__3.i - a[i__2]
1179 z__1.r = t.r * z__2.r - t.i * z__2.i, z__1.i = t.r *
1180 z__2.i + t.i * z__2.r;
1181 wkm1.r = z__1.r, wkm1.i = z__1.i;
1182 i__1 = j + k * a_dim1;
1183 z__3.r = d22.r * a[i__1].r - d22.i * a[i__1].i,
1184 z__3.i = d22.r * a[i__1].i + d22.i * a[i__1]
1186 i__2 = j + (k - 1) * a_dim1;
1187 z__2.r = z__3.r - a[i__2].r, z__2.i = z__3.i - a[i__2]
1189 z__1.r = t.r * z__2.r - t.i * z__2.i, z__1.i = t.r *
1190 z__2.i + t.i * z__2.r;
1191 wk.r = z__1.r, wk.i = z__1.i;
1193 for (i__ = j; i__ >= 1; --i__) {
1194 i__1 = i__ + j * a_dim1;
1195 i__2 = i__ + j * a_dim1;
1196 z_div(&z__4, &a[i__ + k * a_dim1], &d12);
1197 z__3.r = z__4.r * wk.r - z__4.i * wk.i, z__3.i =
1198 z__4.r * wk.i + z__4.i * wk.r;
1199 z__2.r = a[i__2].r - z__3.r, z__2.i = a[i__2].i -
1201 z_div(&z__6, &a[i__ + (k - 1) * a_dim1], &d12);
1202 z__5.r = z__6.r * wkm1.r - z__6.i * wkm1.i,
1203 z__5.i = z__6.r * wkm1.i + z__6.i *
1205 z__1.r = z__2.r - z__5.r, z__1.i = z__2.i -
1207 a[i__1].r = z__1.r, a[i__1].i = z__1.i;
1211 /* Store U(k) and U(k-1) in cols k and k-1 for row J */
1213 i__1 = j + k * a_dim1;
1214 z_div(&z__1, &wk, &d12);
1215 a[i__1].r = z__1.r, a[i__1].i = z__1.i;
1216 i__1 = j + (k - 1) * a_dim1;
1217 z_div(&z__1, &wkm1, &d12);
1218 a[i__1].r = z__1.r, a[i__1].i = z__1.i;
1225 /* Copy superdiagonal elements of D(K) to E(K) and */
1226 /* ZERO out superdiagonal entry of A */
1229 i__2 = k - 1 + k * a_dim1;
1230 e[i__1].r = a[i__2].r, e[i__1].i = a[i__2].i;
1232 e[i__1].r = 0., e[i__1].i = 0.;
1233 i__1 = k - 1 + k * a_dim1;
1234 a[i__1].r = 0., a[i__1].i = 0.;
1238 /* End column K is nonsingular */
1242 /* Store details of the interchanges in IPIV */
1251 /* Decrease K and return to the start of the main loop */
1261 /* Factorize A as L*D*L**T using the lower triangle of A */
1263 /* Initialize the unused last entry of the subdiagonal array E. */
1266 e[i__1].r = 0., e[i__1].i = 0.;
1268 /* K is the main loop index, increasing from 1 to N in steps of */
1274 /* If K > N, exit from loop */
1282 /* Determine rows and columns to be interchanged and whether */
1283 /* a 1-by-1 or 2-by-2 pivot block will be used */
1285 i__1 = k + k * a_dim1;
1286 absakk = (d__1 = a[i__1].r, abs(d__1)) + (d__2 = d_imag(&a[k + k *
1287 a_dim1]), abs(d__2));
1289 /* IMAX is the row-index of the largest off-diagonal element in */
1290 /* column K, and COLMAX is its absolute value. */
1291 /* Determine both COLMAX and IMAX. */
1295 imax = k + izamax_(&i__1, &a[k + 1 + k * a_dim1], &c__1);
1296 i__1 = imax + k * a_dim1;
1297 colmax = (d__1 = a[i__1].r, abs(d__1)) + (d__2 = d_imag(&a[imax +
1298 k * a_dim1]), abs(d__2));
1303 if (f2cmax(absakk,colmax) == 0.) {
1305 /* Column K is zero or underflow: set INFO and continue */
1312 /* Set E( K ) to zero */
1316 e[i__1].r = 0., e[i__1].i = 0.;
1321 /* Test for interchange */
1323 /* Equivalent to testing for (used to handle NaN and Inf) */
1324 /* ABSAKK.GE.ALPHA*COLMAX */
1326 if (! (absakk < alpha * colmax)) {
1328 /* no interchange, use 1-by-1 pivot block */
1336 /* Loop until pivot found */
1340 /* Begin pivot search loop body */
1342 /* JMAX is the column-index of the largest off-diagonal */
1343 /* element in row IMAX, and ROWMAX is its absolute value. */
1344 /* Determine both ROWMAX and JMAX. */
1348 jmax = k - 1 + izamax_(&i__1, &a[imax + k * a_dim1], lda);
1349 i__1 = imax + jmax * a_dim1;
1350 rowmax = (d__1 = a[i__1].r, abs(d__1)) + (d__2 = d_imag(&
1351 a[imax + jmax * a_dim1]), abs(d__2));
1358 itemp = imax + izamax_(&i__1, &a[imax + 1 + imax * a_dim1]
1360 i__1 = itemp + imax * a_dim1;
1361 dtemp = (d__1 = a[i__1].r, abs(d__1)) + (d__2 = d_imag(&a[
1362 itemp + imax * a_dim1]), abs(d__2));
1363 if (dtemp > rowmax) {
1369 /* Equivalent to testing for (used to handle NaN and Inf) */
1370 /* ABS( A( IMAX, IMAX ) ).GE.ALPHA*ROWMAX */
1372 i__1 = imax + imax * a_dim1;
1373 if (! ((d__1 = a[i__1].r, abs(d__1)) + (d__2 = d_imag(&a[imax
1374 + imax * a_dim1]), abs(d__2)) < alpha * rowmax)) {
1376 /* interchange rows and columns K and IMAX, */
1377 /* use 1-by-1 pivot block */
1382 /* Equivalent to testing for ROWMAX .EQ. COLMAX, */
1383 /* used to handle NaN and Inf */
1385 } else if (p == jmax || rowmax <= colmax) {
1387 /* interchange rows and columns K+1 and IMAX, */
1388 /* use 2-by-2 pivot block */
1395 /* Pivot NOT found, set variables and repeat */
1402 /* End pivot search loop body */
1410 /* Swap TWO rows and TWO columns */
1414 if (kstep == 2 && p != k) {
1416 /* Interchange rows and column K and P in the trailing */
1417 /* submatrix A(k:n,k:n) if we have a 2-by-2 pivot */
1421 zswap_(&i__1, &a[p + 1 + k * a_dim1], &c__1, &a[p + 1 + p
1426 zswap_(&i__1, &a[k + 1 + k * a_dim1], &c__1, &a[p + (k +
1429 i__1 = k + k * a_dim1;
1430 t.r = a[i__1].r, t.i = a[i__1].i;
1431 i__1 = k + k * a_dim1;
1432 i__2 = p + p * a_dim1;
1433 a[i__1].r = a[i__2].r, a[i__1].i = a[i__2].i;
1434 i__1 = p + p * a_dim1;
1435 a[i__1].r = t.r, a[i__1].i = t.i;
1437 /* Convert lower triangle of A into L form by applying */
1438 /* the interchanges in columns 1:k-1. */
1442 zswap_(&i__1, &a[k + a_dim1], lda, &a[p + a_dim1], lda);
1452 /* Interchange rows and columns KK and KP in the trailing */
1453 /* submatrix A(k:n,k:n) */
1457 zswap_(&i__1, &a[kp + 1 + kk * a_dim1], &c__1, &a[kp + 1
1458 + kp * a_dim1], &c__1);
1460 if (kk < *n && kp > kk + 1) {
1462 zswap_(&i__1, &a[kk + 1 + kk * a_dim1], &c__1, &a[kp + (
1463 kk + 1) * a_dim1], lda);
1465 i__1 = kk + kk * a_dim1;
1466 t.r = a[i__1].r, t.i = a[i__1].i;
1467 i__1 = kk + kk * a_dim1;
1468 i__2 = kp + kp * a_dim1;
1469 a[i__1].r = a[i__2].r, a[i__1].i = a[i__2].i;
1470 i__1 = kp + kp * a_dim1;
1471 a[i__1].r = t.r, a[i__1].i = t.i;
1473 i__1 = k + 1 + k * a_dim1;
1474 t.r = a[i__1].r, t.i = a[i__1].i;
1475 i__1 = k + 1 + k * a_dim1;
1476 i__2 = kp + k * a_dim1;
1477 a[i__1].r = a[i__2].r, a[i__1].i = a[i__2].i;
1478 i__1 = kp + k * a_dim1;
1479 a[i__1].r = t.r, a[i__1].i = t.i;
1482 /* Convert lower triangle of A into L form by applying */
1483 /* the interchanges in columns 1:k-1. */
1487 zswap_(&i__1, &a[kk + a_dim1], lda, &a[kp + a_dim1], lda);
1492 /* Update the trailing submatrix */
1496 /* 1-by-1 pivot block D(k): column k now holds */
1498 /* W(k) = L(k)*D(k) */
1500 /* where L(k) is the k-th column of L */
1504 /* Perform a rank-1 update of A(k+1:n,k+1:n) and */
1505 /* store L(k) in column k */
1507 i__1 = k + k * a_dim1;
1508 if ((d__1 = a[i__1].r, abs(d__1)) + (d__2 = d_imag(&a[k +
1509 k * a_dim1]), abs(d__2)) >= sfmin) {
1511 /* Perform a rank-1 update of A(k+1:n,k+1:n) as */
1512 /* A := A - L(k)*D(k)*L(k)**T */
1513 /* = A - W(k)*(1/D(k))*W(k)**T */
1515 z_div(&z__1, &c_b1, &a[k + k * a_dim1]);
1516 d11.r = z__1.r, d11.i = z__1.i;
1518 z__1.r = -d11.r, z__1.i = -d11.i;
1519 zsyr_(uplo, &i__1, &z__1, &a[k + 1 + k * a_dim1], &
1520 c__1, &a[k + 1 + (k + 1) * a_dim1], lda);
1522 /* Store L(k) in column k */
1525 zscal_(&i__1, &d11, &a[k + 1 + k * a_dim1], &c__1);
1528 /* Store L(k) in column k */
1530 i__1 = k + k * a_dim1;
1531 d11.r = a[i__1].r, d11.i = a[i__1].i;
1533 for (ii = k + 1; ii <= i__1; ++ii) {
1534 i__2 = ii + k * a_dim1;
1535 z_div(&z__1, &a[ii + k * a_dim1], &d11);
1536 a[i__2].r = z__1.r, a[i__2].i = z__1.i;
1540 /* Perform a rank-1 update of A(k+1:n,k+1:n) as */
1541 /* A := A - L(k)*D(k)*L(k)**T */
1542 /* = A - W(k)*(1/D(k))*W(k)**T */
1543 /* = A - (W(k)/D(k))*(D(k))*(W(k)/D(K))**T */
1546 z__1.r = -d11.r, z__1.i = -d11.i;
1547 zsyr_(uplo, &i__1, &z__1, &a[k + 1 + k * a_dim1], &
1548 c__1, &a[k + 1 + (k + 1) * a_dim1], lda);
1551 /* Store the subdiagonal element of D in array E */
1554 e[i__1].r = 0., e[i__1].i = 0.;
1560 /* 2-by-2 pivot block D(k): columns k and k+1 now hold */
1562 /* ( W(k) W(k+1) ) = ( L(k) L(k+1) )*D(k) */
1564 /* where L(k) and L(k+1) are the k-th and (k+1)-th columns */
1568 /* Perform a rank-2 update of A(k+2:n,k+2:n) as */
1570 /* A := A - ( L(k) L(k+1) ) * D(k) * ( L(k) L(k+1) )**T */
1571 /* = A - ( ( A(k)A(k+1) )*inv(D(k) ) * ( A(k)A(k+1) )**T */
1573 /* and store L(k) and L(k+1) in columns k and k+1 */
1577 i__1 = k + 1 + k * a_dim1;
1578 d21.r = a[i__1].r, d21.i = a[i__1].i;
1579 z_div(&z__1, &a[k + 1 + (k + 1) * a_dim1], &d21);
1580 d11.r = z__1.r, d11.i = z__1.i;
1581 z_div(&z__1, &a[k + k * a_dim1], &d21);
1582 d22.r = z__1.r, d22.i = z__1.i;
1583 z__3.r = d11.r * d22.r - d11.i * d22.i, z__3.i = d11.r *
1584 d22.i + d11.i * d22.r;
1585 z__2.r = z__3.r - 1., z__2.i = z__3.i + 0.;
1586 z_div(&z__1, &c_b1, &z__2);
1587 t.r = z__1.r, t.i = z__1.i;
1590 for (j = k + 2; j <= i__1; ++j) {
1592 /* Compute D21 * ( W(k)W(k+1) ) * inv(D(k)) for row J */
1594 i__2 = j + k * a_dim1;
1595 z__3.r = d11.r * a[i__2].r - d11.i * a[i__2].i,
1596 z__3.i = d11.r * a[i__2].i + d11.i * a[i__2]
1598 i__3 = j + (k + 1) * a_dim1;
1599 z__2.r = z__3.r - a[i__3].r, z__2.i = z__3.i - a[i__3]
1601 z__1.r = t.r * z__2.r - t.i * z__2.i, z__1.i = t.r *
1602 z__2.i + t.i * z__2.r;
1603 wk.r = z__1.r, wk.i = z__1.i;
1604 i__2 = j + (k + 1) * a_dim1;
1605 z__3.r = d22.r * a[i__2].r - d22.i * a[i__2].i,
1606 z__3.i = d22.r * a[i__2].i + d22.i * a[i__2]
1608 i__3 = j + k * a_dim1;
1609 z__2.r = z__3.r - a[i__3].r, z__2.i = z__3.i - a[i__3]
1611 z__1.r = t.r * z__2.r - t.i * z__2.i, z__1.i = t.r *
1612 z__2.i + t.i * z__2.r;
1613 wkp1.r = z__1.r, wkp1.i = z__1.i;
1615 /* Perform a rank-2 update of A(k+2:n,k+2:n) */
1618 for (i__ = j; i__ <= i__2; ++i__) {
1619 i__3 = i__ + j * a_dim1;
1620 i__4 = i__ + j * a_dim1;
1621 z_div(&z__4, &a[i__ + k * a_dim1], &d21);
1622 z__3.r = z__4.r * wk.r - z__4.i * wk.i, z__3.i =
1623 z__4.r * wk.i + z__4.i * wk.r;
1624 z__2.r = a[i__4].r - z__3.r, z__2.i = a[i__4].i -
1626 z_div(&z__6, &a[i__ + (k + 1) * a_dim1], &d21);
1627 z__5.r = z__6.r * wkp1.r - z__6.i * wkp1.i,
1628 z__5.i = z__6.r * wkp1.i + z__6.i *
1630 z__1.r = z__2.r - z__5.r, z__1.i = z__2.i -
1632 a[i__3].r = z__1.r, a[i__3].i = z__1.i;
1636 /* Store L(k) and L(k+1) in cols k and k+1 for row J */
1638 i__2 = j + k * a_dim1;
1639 z_div(&z__1, &wk, &d21);
1640 a[i__2].r = z__1.r, a[i__2].i = z__1.i;
1641 i__2 = j + (k + 1) * a_dim1;
1642 z_div(&z__1, &wkp1, &d21);
1643 a[i__2].r = z__1.r, a[i__2].i = z__1.i;
1650 /* Copy subdiagonal elements of D(K) to E(K) and */
1651 /* ZERO out subdiagonal entry of A */
1654 i__2 = k + 1 + k * a_dim1;
1655 e[i__1].r = a[i__2].r, e[i__1].i = a[i__2].i;
1657 e[i__1].r = 0., e[i__1].i = 0.;
1658 i__1 = k + 1 + k * a_dim1;
1659 a[i__1].r = 0., a[i__1].i = 0.;
1663 /* End column K is nonsingular */
1667 /* Store details of the interchanges in IPIV */
1676 /* Increase K and return to the start of the main loop */
1688 /* End of ZSYTF2_RK */