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]/df(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 complex c_b1 = {1.f,0.f};
516 static integer c__1 = 1;
518 /* > \brief \b CLASYF_RK computes a partial factorization of a complex symmetric indefinite matrix using bound
519 ed Bunch-Kaufman (rook) diagonal pivoting method. */
521 /* =========== DOCUMENTATION =========== */
523 /* Online html documentation available at */
524 /* http://www.netlib.org/lapack/explore-html/ */
527 /* > Download CLASYF_RK + dependencies */
528 /* > <a href="http://www.netlib.org/cgi-bin/netlibfiles.tgz?format=tgz&filename=/lapack/lapack_routine/clasyf_
531 /* > <a href="http://www.netlib.org/cgi-bin/netlibfiles.zip?format=zip&filename=/lapack/lapack_routine/clasyf_
534 /* > <a href="http://www.netlib.org/cgi-bin/netlibfiles.txt?format=txt&filename=/lapack/lapack_routine/clasyf_
542 /* SUBROUTINE CLASYF_RK( UPLO, N, NB, KB, A, LDA, E, IPIV, W, LDW, */
546 /* INTEGER INFO, KB, LDA, LDW, N, NB */
547 /* INTEGER IPIV( * ) */
548 /* COMPLEX A( LDA, * ), E( * ), W( LDW, * ) */
551 /* > \par Purpose: */
555 /* > CLASYF_RK computes a partial factorization of a complex symmetric */
556 /* > matrix A using the bounded Bunch-Kaufman (rook) diagonal */
557 /* > pivoting method. The partial factorization has the form: */
559 /* > A = ( I U12 ) ( A11 0 ) ( I 0 ) if UPLO = 'U', or: */
560 /* > ( 0 U22 ) ( 0 D ) ( U12**T U22**T ) */
562 /* > A = ( L11 0 ) ( D 0 ) ( L11**T L21**T ) if UPLO = 'L', */
563 /* > ( L21 I ) ( 0 A22 ) ( 0 I ) */
565 /* > where the order of D is at most NB. The actual order is returned in */
566 /* > the argument KB, and is either NB or NB-1, or N if N <= NB. */
568 /* > CLASYF_RK is an auxiliary routine called by CSYTRF_RK. It uses */
569 /* > blocked code (calling Level 3 BLAS) to update the submatrix */
570 /* > A11 (if UPLO = 'U') or A22 (if UPLO = 'L'). */
576 /* > \param[in] UPLO */
578 /* > UPLO is CHARACTER*1 */
579 /* > Specifies whether the upper or lower triangular part of the */
580 /* > symmetric matrix A is stored: */
581 /* > = 'U': Upper triangular */
582 /* > = 'L': Lower triangular */
588 /* > The order of the matrix A. N >= 0. */
591 /* > \param[in] NB */
593 /* > NB is INTEGER */
594 /* > The maximum number of columns of the matrix A that should be */
595 /* > factored. NB should be at least 2 to allow for 2-by-2 pivot */
599 /* > \param[out] KB */
601 /* > KB is INTEGER */
602 /* > The number of columns of A that were actually factored. */
603 /* > KB is either NB-1 or NB, or N if N <= NB. */
606 /* > \param[in,out] A */
608 /* > A is COMPLEX array, dimension (LDA,N) */
609 /* > On entry, the symmetric matrix A. */
610 /* > If UPLO = 'U': the leading N-by-N upper triangular part */
611 /* > of A contains the upper triangular part of the matrix A, */
612 /* > and the strictly lower triangular part of A is not */
615 /* > If UPLO = 'L': the leading N-by-N lower triangular part */
616 /* > of A contains the lower triangular part of the matrix A, */
617 /* > and the strictly upper triangular part of A is not */
620 /* > On exit, contains: */
621 /* > a) ONLY diagonal elements of the symmetric block diagonal */
622 /* > matrix D on the diagonal of A, i.e. D(k,k) = A(k,k); */
623 /* > (superdiagonal (or subdiagonal) elements of D */
624 /* > are stored on exit in array E), and */
625 /* > b) If UPLO = 'U': factor U in the superdiagonal part of A. */
626 /* > If UPLO = 'L': factor L in the subdiagonal part of A. */
629 /* > \param[in] LDA */
631 /* > LDA is INTEGER */
632 /* > The leading dimension of the array A. LDA >= f2cmax(1,N). */
635 /* > \param[out] E */
637 /* > E is COMPLEX array, dimension (N) */
638 /* > On exit, contains the superdiagonal (or subdiagonal) */
639 /* > elements of the symmetric block diagonal matrix D */
640 /* > with 1-by-1 or 2-by-2 diagonal blocks, where */
641 /* > If UPLO = 'U': E(i) = D(i-1,i), i=2:N, E(1) is set to 0; */
642 /* > If UPLO = 'L': E(i) = D(i+1,i), i=1:N-1, E(N) is set to 0. */
644 /* > NOTE: For 1-by-1 diagonal block D(k), where */
645 /* > 1 <= k <= N, the element E(k) is set to 0 in both */
646 /* > UPLO = 'U' or UPLO = 'L' cases. */
649 /* > \param[out] IPIV */
651 /* > IPIV is INTEGER array, dimension (N) */
652 /* > IPIV describes the permutation matrix P in the factorization */
653 /* > of matrix A as follows. The absolute value of IPIV(k) */
654 /* > represents the index of row and column that were */
655 /* > interchanged with the k-th row and column. The value of UPLO */
656 /* > describes the order in which the interchanges were applied. */
657 /* > Also, the sign of IPIV represents the block structure of */
658 /* > the symmetric block diagonal matrix D with 1-by-1 or 2-by-2 */
659 /* > diagonal blocks which correspond to 1 or 2 interchanges */
660 /* > at each factorization step. */
662 /* > If UPLO = 'U', */
663 /* > ( in factorization order, k decreases from N to 1 ): */
664 /* > a) A single positive entry IPIV(k) > 0 means: */
665 /* > D(k,k) is a 1-by-1 diagonal block. */
666 /* > If IPIV(k) != k, rows and columns k and IPIV(k) were */
667 /* > interchanged in the submatrix A(1:N,N-KB+1:N); */
668 /* > If IPIV(k) = k, no interchange occurred. */
671 /* > b) A pair of consecutive negative entries */
672 /* > IPIV(k) < 0 and IPIV(k-1) < 0 means: */
673 /* > D(k-1:k,k-1:k) is a 2-by-2 diagonal block. */
674 /* > (NOTE: negative entries in IPIV appear ONLY in pairs). */
675 /* > 1) If -IPIV(k) != k, rows and columns */
676 /* > k and -IPIV(k) were interchanged */
677 /* > in the matrix A(1:N,N-KB+1:N). */
678 /* > If -IPIV(k) = k, no interchange occurred. */
679 /* > 2) If -IPIV(k-1) != k-1, rows and columns */
680 /* > k-1 and -IPIV(k-1) were interchanged */
681 /* > in the submatrix A(1:N,N-KB+1:N). */
682 /* > If -IPIV(k-1) = k-1, no interchange occurred. */
684 /* > c) In both cases a) and b) is always ABS( IPIV(k) ) <= k. */
686 /* > d) NOTE: Any entry IPIV(k) is always NONZERO on output. */
688 /* > If UPLO = 'L', */
689 /* > ( in factorization order, k increases from 1 to N ): */
690 /* > a) A single positive entry IPIV(k) > 0 means: */
691 /* > D(k,k) is a 1-by-1 diagonal block. */
692 /* > If IPIV(k) != k, rows and columns k and IPIV(k) were */
693 /* > interchanged in the submatrix A(1:N,1:KB). */
694 /* > If IPIV(k) = k, no interchange occurred. */
696 /* > b) A pair of consecutive negative entries */
697 /* > IPIV(k) < 0 and IPIV(k+1) < 0 means: */
698 /* > D(k:k+1,k:k+1) is a 2-by-2 diagonal block. */
699 /* > (NOTE: negative entries in IPIV appear ONLY in pairs). */
700 /* > 1) If -IPIV(k) != k, rows and columns */
701 /* > k and -IPIV(k) were interchanged */
702 /* > in the submatrix A(1:N,1:KB). */
703 /* > If -IPIV(k) = k, no interchange occurred. */
704 /* > 2) If -IPIV(k+1) != k+1, rows and columns */
705 /* > k-1 and -IPIV(k-1) were interchanged */
706 /* > in the submatrix A(1:N,1:KB). */
707 /* > If -IPIV(k+1) = k+1, no interchange occurred. */
709 /* > c) In both cases a) and b) is always ABS( IPIV(k) ) >= k. */
711 /* > d) NOTE: Any entry IPIV(k) is always NONZERO on output. */
714 /* > \param[out] W */
716 /* > W is COMPLEX array, dimension (LDW,NB) */
719 /* > \param[in] LDW */
721 /* > LDW is INTEGER */
722 /* > The leading dimension of the array W. LDW >= f2cmax(1,N). */
725 /* > \param[out] INFO */
727 /* > INFO is INTEGER */
728 /* > = 0: successful exit */
730 /* > < 0: If INFO = -k, the k-th argument had an illegal value */
732 /* > > 0: If INFO = k, the matrix A is singular, because: */
733 /* > If UPLO = 'U': column k in the upper */
734 /* > triangular part of A contains all zeros. */
735 /* > If UPLO = 'L': column k in the lower */
736 /* > triangular part of A contains all zeros. */
738 /* > Therefore D(k,k) is exactly zero, and superdiagonal */
739 /* > elements of column k of U (or subdiagonal elements of */
740 /* > column k of L ) are all zeros. The factorization has */
741 /* > been completed, but the block diagonal matrix D is */
742 /* > exactly singular, and division by zero will occur if */
743 /* > it is used to solve a system of equations. */
745 /* > NOTE: INFO only stores the first occurrence of */
746 /* > a singularity, any subsequent occurrence of singularity */
747 /* > is not stored in INFO even though the factorization */
748 /* > always completes. */
754 /* > \author Univ. of Tennessee */
755 /* > \author Univ. of California Berkeley */
756 /* > \author Univ. of Colorado Denver */
757 /* > \author NAG Ltd. */
759 /* > \date December 2016 */
761 /* > \ingroup complexSYcomputational */
763 /* > \par Contributors: */
764 /* ================== */
768 /* > December 2016, Igor Kozachenko, */
769 /* > Computer Science Division, */
770 /* > University of California, Berkeley */
772 /* > September 2007, Sven Hammarling, Nicholas J. Higham, Craig Lucas, */
773 /* > School of Mathematics, */
774 /* > University of Manchester */
778 /* ===================================================================== */
779 /* Subroutine */ int clasyf_rk_(char *uplo, integer *n, integer *nb, integer
780 *kb, complex *a, integer *lda, complex *e, integer *ipiv, complex *w,
781 integer *ldw, integer *info)
783 /* System generated locals */
784 integer a_dim1, a_offset, w_dim1, w_offset, i__1, i__2, i__3, i__4, i__5;
786 complex q__1, q__2, q__3, q__4;
788 /* Local variables */
790 integer imax, jmax, j, k, p;
793 extern /* Subroutine */ int cscal_(integer *, complex *, complex *,
794 integer *), cgemm_(char *, char *, integer *, integer *, integer *
795 , complex *, complex *, integer *, complex *, integer *, complex *
796 , complex *, integer *);
797 extern logical lsame_(char *, char *);
798 extern /* Subroutine */ int cgemv_(char *, integer *, integer *, complex *
799 , complex *, integer *, complex *, integer *, complex *, complex *
802 extern /* Subroutine */ int ccopy_(integer *, complex *, integer *,
803 complex *, integer *);
805 extern /* Subroutine */ int cswap_(integer *, complex *, integer *,
806 complex *, integer *);
809 complex r1, d11, d12, d21, d22;
810 integer jb, ii, jj, kk, kp;
813 extern integer icamax_(integer *, complex *, integer *);
814 extern real slamch_(char *);
819 /* -- LAPACK computational routine (version 3.7.0) -- */
820 /* -- LAPACK is a software package provided by Univ. of Tennessee, -- */
821 /* -- Univ. of California Berkeley, Univ. of Colorado Denver and NAG Ltd..-- */
825 /* ===================================================================== */
828 /* Parameter adjustments */
830 a_offset = 1 + a_dim1 * 1;
835 w_offset = 1 + w_dim1 * 1;
841 /* Initialize ALPHA for use in choosing pivot block size. */
843 alpha = (sqrt(17.f) + 1.f) / 8.f;
845 /* Compute machine safe minimum */
847 sfmin = slamch_("S");
849 if (lsame_(uplo, "U")) {
851 /* Factorize the trailing columns of A using the upper triangle */
852 /* of A and working backwards, and compute the matrix W = U12*D */
853 /* for use in updating A11 */
855 /* Initialize the first entry of array E, where superdiagonal */
856 /* elements of D are stored */
858 e[1].r = 0.f, e[1].i = 0.f;
860 /* K is the main loop index, decreasing from N in steps of 1 or 2 */
865 /* KW is the column of W which corresponds to column K of A */
871 if (k <= *n - *nb + 1 && *nb < *n || k < 1) {
878 /* Copy column K of A to column KW of W and update it */
880 ccopy_(&k, &a[k * a_dim1 + 1], &c__1, &w[kw * w_dim1 + 1], &c__1);
883 q__1.r = -1.f, q__1.i = 0.f;
884 cgemv_("No transpose", &k, &i__1, &q__1, &a[(k + 1) * a_dim1 + 1],
885 lda, &w[k + (kw + 1) * w_dim1], ldw, &c_b1, &w[kw *
889 /* Determine rows and columns to be interchanged and whether */
890 /* a 1-by-1 or 2-by-2 pivot block will be used */
892 i__1 = k + kw * w_dim1;
893 absakk = (r__1 = w[i__1].r, abs(r__1)) + (r__2 = r_imag(&w[k + kw *
894 w_dim1]), abs(r__2));
896 /* IMAX is the row-index of the largest off-diagonal element in */
897 /* column K, and COLMAX is its absolute value. */
898 /* Determine both COLMAX and IMAX. */
902 imax = icamax_(&i__1, &w[kw * w_dim1 + 1], &c__1);
903 i__1 = imax + kw * w_dim1;
904 colmax = (r__1 = w[i__1].r, abs(r__1)) + (r__2 = r_imag(&w[imax +
905 kw * w_dim1]), abs(r__2));
910 if (f2cmax(absakk,colmax) == 0.f) {
912 /* Column K is zero or underflow: set INFO and continue */
918 ccopy_(&k, &w[kw * w_dim1 + 1], &c__1, &a[k * a_dim1 + 1], &c__1);
920 /* Set E( K ) to zero */
924 e[i__1].r = 0.f, e[i__1].i = 0.f;
929 /* ============================================================ */
931 /* Test for interchange */
933 /* Equivalent to testing for ABSAKK.GE.ALPHA*COLMAX */
934 /* (used to handle NaN and Inf) */
936 if (! (absakk < alpha * colmax)) {
938 /* no interchange, use 1-by-1 pivot block */
946 /* Loop until pivot found */
950 /* Begin pivot search loop body */
953 /* Copy column IMAX to column KW-1 of W and update it */
955 ccopy_(&imax, &a[imax * a_dim1 + 1], &c__1, &w[(kw - 1) *
958 ccopy_(&i__1, &a[imax + (imax + 1) * a_dim1], lda, &w[imax +
959 1 + (kw - 1) * w_dim1], &c__1);
963 q__1.r = -1.f, q__1.i = 0.f;
964 cgemv_("No transpose", &k, &i__1, &q__1, &a[(k + 1) *
965 a_dim1 + 1], lda, &w[imax + (kw + 1) * w_dim1],
966 ldw, &c_b1, &w[(kw - 1) * w_dim1 + 1], &c__1);
969 /* JMAX is the column-index of the largest off-diagonal */
970 /* element in row IMAX, and ROWMAX is its absolute value. */
971 /* Determine both ROWMAX and JMAX. */
975 jmax = imax + icamax_(&i__1, &w[imax + 1 + (kw - 1) *
977 i__1 = jmax + (kw - 1) * w_dim1;
978 rowmax = (r__1 = w[i__1].r, abs(r__1)) + (r__2 = r_imag(&
979 w[jmax + (kw - 1) * w_dim1]), abs(r__2));
986 itemp = icamax_(&i__1, &w[(kw - 1) * w_dim1 + 1], &c__1);
987 i__1 = itemp + (kw - 1) * w_dim1;
988 stemp = (r__1 = w[i__1].r, abs(r__1)) + (r__2 = r_imag(&w[
989 itemp + (kw - 1) * w_dim1]), abs(r__2));
990 if (stemp > rowmax) {
996 /* Equivalent to testing for */
997 /* CABS1( W( IMAX, KW-1 ) ).GE.ALPHA*ROWMAX */
998 /* (used to handle NaN and Inf) */
1000 i__1 = imax + (kw - 1) * w_dim1;
1001 if (! ((r__1 = w[i__1].r, abs(r__1)) + (r__2 = r_imag(&w[imax
1002 + (kw - 1) * w_dim1]), abs(r__2)) < alpha * rowmax)) {
1004 /* interchange rows and columns K and IMAX, */
1005 /* use 1-by-1 pivot block */
1009 /* copy column KW-1 of W to column KW of W */
1011 ccopy_(&k, &w[(kw - 1) * w_dim1 + 1], &c__1, &w[kw *
1012 w_dim1 + 1], &c__1);
1016 /* Equivalent to testing for ROWMAX.EQ.COLMAX, */
1017 /* (used to handle NaN and Inf) */
1019 } else if (p == jmax || rowmax <= colmax) {
1021 /* interchange rows and columns K-1 and IMAX, */
1022 /* use 2-by-2 pivot block */
1029 /* Pivot not found: set params and repeat */
1035 /* Copy updated JMAXth (next IMAXth) column to Kth of W */
1037 ccopy_(&k, &w[(kw - 1) * w_dim1 + 1], &c__1, &w[kw *
1038 w_dim1 + 1], &c__1);
1042 /* End pivot search loop body */
1050 /* ============================================================ */
1054 /* KKW is the column of W which corresponds to column KK of A */
1056 kkw = *nb + kk - *n;
1058 if (kstep == 2 && p != k) {
1060 /* Copy non-updated column K to column P */
1063 ccopy_(&i__1, &a[p + 1 + k * a_dim1], &c__1, &a[p + (p + 1) *
1065 ccopy_(&p, &a[k * a_dim1 + 1], &c__1, &a[p * a_dim1 + 1], &
1068 /* Interchange rows K and P in last N-K+1 columns of A */
1069 /* and last N-K+2 columns of W */
1072 cswap_(&i__1, &a[k + k * a_dim1], lda, &a[p + k * a_dim1],
1075 cswap_(&i__1, &w[k + kkw * w_dim1], ldw, &w[p + kkw * w_dim1],
1079 /* Updated column KP is already stored in column KKW of W */
1083 /* Copy non-updated column KK to column KP */
1085 i__1 = kp + k * a_dim1;
1086 i__2 = kk + k * a_dim1;
1087 a[i__1].r = a[i__2].r, a[i__1].i = a[i__2].i;
1089 ccopy_(&i__1, &a[kp + 1 + kk * a_dim1], &c__1, &a[kp + (kp +
1091 ccopy_(&kp, &a[kk * a_dim1 + 1], &c__1, &a[kp * a_dim1 + 1], &
1094 /* Interchange rows KK and KP in last N-KK+1 columns */
1098 cswap_(&i__1, &a[kk + kk * a_dim1], lda, &a[kp + kk * a_dim1],
1101 cswap_(&i__1, &w[kk + kkw * w_dim1], ldw, &w[kp + kkw *
1107 /* 1-by-1 pivot block D(k): column KW of W now holds */
1109 /* W(k) = U(k)*D(k) */
1111 /* where U(k) is the k-th column of U */
1113 /* Store U(k) in column k of A */
1115 ccopy_(&k, &w[kw * w_dim1 + 1], &c__1, &a[k * a_dim1 + 1], &
1118 i__1 = k + k * a_dim1;
1119 if ((r__1 = a[i__1].r, abs(r__1)) + (r__2 = r_imag(&a[k +
1120 k * a_dim1]), abs(r__2)) >= sfmin) {
1121 c_div(&q__1, &c_b1, &a[k + k * a_dim1]);
1122 r1.r = q__1.r, r1.i = q__1.i;
1124 cscal_(&i__1, &r1, &a[k * a_dim1 + 1], &c__1);
1125 } else /* if(complicated condition) */ {
1126 i__1 = k + k * a_dim1;
1127 if (a[i__1].r != 0.f || a[i__1].i != 0.f) {
1129 for (ii = 1; ii <= i__1; ++ii) {
1130 i__2 = ii + k * a_dim1;
1131 c_div(&q__1, &a[ii + k * a_dim1], &a[k + k *
1133 a[i__2].r = q__1.r, a[i__2].i = q__1.i;
1139 /* Store the superdiagonal element of D in array E */
1142 e[i__1].r = 0.f, e[i__1].i = 0.f;
1148 /* 2-by-2 pivot block D(k): columns KW and KW-1 of W now */
1151 /* ( W(k-1) W(k) ) = ( U(k-1) U(k) )*D(k) */
1153 /* where U(k) and U(k-1) are the k-th and (k-1)-th columns */
1158 /* Store U(k) and U(k-1) in columns k and k-1 of A */
1160 i__1 = k - 1 + kw * w_dim1;
1161 d12.r = w[i__1].r, d12.i = w[i__1].i;
1162 c_div(&q__1, &w[k + kw * w_dim1], &d12);
1163 d11.r = q__1.r, d11.i = q__1.i;
1164 c_div(&q__1, &w[k - 1 + (kw - 1) * w_dim1], &d12);
1165 d22.r = q__1.r, d22.i = q__1.i;
1166 q__3.r = d11.r * d22.r - d11.i * d22.i, q__3.i = d11.r *
1167 d22.i + d11.i * d22.r;
1168 q__2.r = q__3.r - 1.f, q__2.i = q__3.i + 0.f;
1169 c_div(&q__1, &c_b1, &q__2);
1170 t.r = q__1.r, t.i = q__1.i;
1172 for (j = 1; j <= i__1; ++j) {
1173 i__2 = j + (k - 1) * a_dim1;
1174 i__3 = j + (kw - 1) * w_dim1;
1175 q__4.r = d11.r * w[i__3].r - d11.i * w[i__3].i,
1176 q__4.i = d11.r * w[i__3].i + d11.i * w[i__3]
1178 i__4 = j + kw * w_dim1;
1179 q__3.r = q__4.r - w[i__4].r, q__3.i = q__4.i - w[i__4]
1181 c_div(&q__2, &q__3, &d12);
1182 q__1.r = t.r * q__2.r - t.i * q__2.i, q__1.i = t.r *
1183 q__2.i + t.i * q__2.r;
1184 a[i__2].r = q__1.r, a[i__2].i = q__1.i;
1185 i__2 = j + k * a_dim1;
1186 i__3 = j + kw * w_dim1;
1187 q__4.r = d22.r * w[i__3].r - d22.i * w[i__3].i,
1188 q__4.i = d22.r * w[i__3].i + d22.i * w[i__3]
1190 i__4 = j + (kw - 1) * w_dim1;
1191 q__3.r = q__4.r - w[i__4].r, q__3.i = q__4.i - w[i__4]
1193 c_div(&q__2, &q__3, &d12);
1194 q__1.r = t.r * q__2.r - t.i * q__2.i, q__1.i = t.r *
1195 q__2.i + t.i * q__2.r;
1196 a[i__2].r = q__1.r, a[i__2].i = q__1.i;
1201 /* Copy diagonal elements of D(K) to A, */
1202 /* copy superdiagonal element of D(K) to E(K) and */
1203 /* ZERO out superdiagonal entry of A */
1205 i__1 = k - 1 + (k - 1) * a_dim1;
1206 i__2 = k - 1 + (kw - 1) * w_dim1;
1207 a[i__1].r = w[i__2].r, a[i__1].i = w[i__2].i;
1208 i__1 = k - 1 + k * a_dim1;
1209 a[i__1].r = 0.f, a[i__1].i = 0.f;
1210 i__1 = k + k * a_dim1;
1211 i__2 = k + kw * w_dim1;
1212 a[i__1].r = w[i__2].r, a[i__1].i = w[i__2].i;
1214 i__2 = k - 1 + kw * w_dim1;
1215 e[i__1].r = w[i__2].r, e[i__1].i = w[i__2].i;
1217 e[i__1].r = 0.f, e[i__1].i = 0.f;
1221 /* End column K is nonsingular */
1225 /* Store details of the interchanges in IPIV */
1234 /* Decrease K and return to the start of the main loop */
1241 /* Update the upper triangle of A11 (= A(1:k,1:k)) as */
1243 /* A11 := A11 - U12*D*U12**T = A11 - U12*W**T */
1245 /* computing blocks of NB columns at a time */
1248 for (j = (k - 1) / *nb * *nb + 1; i__1 < 0 ? j >= 1 : j <= 1; j +=
1251 i__2 = *nb, i__3 = k - j + 1;
1252 jb = f2cmin(i__2,i__3);
1254 /* Update the upper triangle of the diagonal block */
1257 for (jj = j; jj <= i__2; ++jj) {
1260 q__1.r = -1.f, q__1.i = 0.f;
1261 cgemv_("No transpose", &i__3, &i__4, &q__1, &a[j + (k + 1) *
1262 a_dim1], lda, &w[jj + (kw + 1) * w_dim1], ldw, &c_b1,
1263 &a[j + jj * a_dim1], &c__1);
1267 /* Update the rectangular superdiagonal block */
1272 q__1.r = -1.f, q__1.i = 0.f;
1273 cgemm_("No transpose", "Transpose", &i__2, &jb, &i__3, &q__1,
1274 &a[(k + 1) * a_dim1 + 1], lda, &w[j + (kw + 1) *
1275 w_dim1], ldw, &c_b1, &a[j * a_dim1 + 1], lda);
1280 /* Set KB to the number of columns factorized */
1286 /* Factorize the leading columns of A using the lower triangle */
1287 /* of A and working forwards, and compute the matrix W = L21*D */
1288 /* for use in updating A22 */
1290 /* Initialize the unused last entry of the subdiagonal array E. */
1293 e[i__1].r = 0.f, e[i__1].i = 0.f;
1295 /* K is the main loop index, increasing from 1 in steps of 1 or 2 */
1300 /* Exit from loop */
1302 if (k >= *nb && *nb < *n || k > *n) {
1309 /* Copy column K of A to column K of W and update it */
1312 ccopy_(&i__1, &a[k + k * a_dim1], &c__1, &w[k + k * w_dim1], &c__1);
1316 q__1.r = -1.f, q__1.i = 0.f;
1317 cgemv_("No transpose", &i__1, &i__2, &q__1, &a[k + a_dim1], lda, &
1318 w[k + w_dim1], ldw, &c_b1, &w[k + k * w_dim1], &c__1);
1321 /* Determine rows and columns to be interchanged and whether */
1322 /* a 1-by-1 or 2-by-2 pivot block will be used */
1324 i__1 = k + k * w_dim1;
1325 absakk = (r__1 = w[i__1].r, abs(r__1)) + (r__2 = r_imag(&w[k + k *
1326 w_dim1]), abs(r__2));
1328 /* IMAX is the row-index of the largest off-diagonal element in */
1329 /* column K, and COLMAX is its absolute value. */
1330 /* Determine both COLMAX and IMAX. */
1334 imax = k + icamax_(&i__1, &w[k + 1 + k * w_dim1], &c__1);
1335 i__1 = imax + k * w_dim1;
1336 colmax = (r__1 = w[i__1].r, abs(r__1)) + (r__2 = r_imag(&w[imax +
1337 k * w_dim1]), abs(r__2));
1342 if (f2cmax(absakk,colmax) == 0.f) {
1344 /* Column K is zero or underflow: set INFO and continue */
1351 ccopy_(&i__1, &w[k + k * w_dim1], &c__1, &a[k + k * a_dim1], &
1354 /* Set E( K ) to zero */
1358 e[i__1].r = 0.f, e[i__1].i = 0.f;
1363 /* ============================================================ */
1365 /* Test for interchange */
1367 /* Equivalent to testing for ABSAKK.GE.ALPHA*COLMAX */
1368 /* (used to handle NaN and Inf) */
1370 if (! (absakk < alpha * colmax)) {
1372 /* no interchange, use 1-by-1 pivot block */
1380 /* Loop until pivot found */
1384 /* Begin pivot search loop body */
1387 /* Copy column IMAX to column K+1 of W and update it */
1390 ccopy_(&i__1, &a[imax + k * a_dim1], lda, &w[k + (k + 1) *
1392 i__1 = *n - imax + 1;
1393 ccopy_(&i__1, &a[imax + imax * a_dim1], &c__1, &w[imax + (k +
1394 1) * w_dim1], &c__1);
1398 q__1.r = -1.f, q__1.i = 0.f;
1399 cgemv_("No transpose", &i__1, &i__2, &q__1, &a[k + a_dim1]
1400 , lda, &w[imax + w_dim1], ldw, &c_b1, &w[k + (k +
1401 1) * w_dim1], &c__1);
1404 /* JMAX is the column-index of the largest off-diagonal */
1405 /* element in row IMAX, and ROWMAX is its absolute value. */
1406 /* Determine both ROWMAX and JMAX. */
1410 jmax = k - 1 + icamax_(&i__1, &w[k + (k + 1) * w_dim1], &
1412 i__1 = jmax + (k + 1) * w_dim1;
1413 rowmax = (r__1 = w[i__1].r, abs(r__1)) + (r__2 = r_imag(&
1414 w[jmax + (k + 1) * w_dim1]), abs(r__2));
1421 itemp = imax + icamax_(&i__1, &w[imax + 1 + (k + 1) *
1423 i__1 = itemp + (k + 1) * w_dim1;
1424 stemp = (r__1 = w[i__1].r, abs(r__1)) + (r__2 = r_imag(&w[
1425 itemp + (k + 1) * w_dim1]), abs(r__2));
1426 if (stemp > rowmax) {
1432 /* Equivalent to testing for */
1433 /* CABS1( W( IMAX, K+1 ) ).GE.ALPHA*ROWMAX */
1434 /* (used to handle NaN and Inf) */
1436 i__1 = imax + (k + 1) * w_dim1;
1437 if (! ((r__1 = w[i__1].r, abs(r__1)) + (r__2 = r_imag(&w[imax
1438 + (k + 1) * w_dim1]), abs(r__2)) < alpha * rowmax)) {
1440 /* interchange rows and columns K and IMAX, */
1441 /* use 1-by-1 pivot block */
1445 /* copy column K+1 of W to column K of W */
1448 ccopy_(&i__1, &w[k + (k + 1) * w_dim1], &c__1, &w[k + k *
1453 /* Equivalent to testing for ROWMAX.EQ.COLMAX, */
1454 /* (used to handle NaN and Inf) */
1456 } else if (p == jmax || rowmax <= colmax) {
1458 /* interchange rows and columns K+1 and IMAX, */
1459 /* use 2-by-2 pivot block */
1466 /* Pivot not found: set params and repeat */
1472 /* Copy updated JMAXth (next IMAXth) column to Kth of W */
1475 ccopy_(&i__1, &w[k + (k + 1) * w_dim1], &c__1, &w[k + k *
1480 /* End pivot search loop body */
1488 /* ============================================================ */
1492 if (kstep == 2 && p != k) {
1494 /* Copy non-updated column K to column P */
1497 ccopy_(&i__1, &a[k + k * a_dim1], &c__1, &a[p + k * a_dim1],
1500 ccopy_(&i__1, &a[p + k * a_dim1], &c__1, &a[p + p * a_dim1], &
1503 /* Interchange rows K and P in first K columns of A */
1504 /* and first K+1 columns of W */
1506 cswap_(&k, &a[k + a_dim1], lda, &a[p + a_dim1], lda);
1507 cswap_(&kk, &w[k + w_dim1], ldw, &w[p + w_dim1], ldw);
1510 /* Updated column KP is already stored in column KK of W */
1514 /* Copy non-updated column KK to column KP */
1516 i__1 = kp + k * a_dim1;
1517 i__2 = kk + k * a_dim1;
1518 a[i__1].r = a[i__2].r, a[i__1].i = a[i__2].i;
1520 ccopy_(&i__1, &a[k + 1 + kk * a_dim1], &c__1, &a[kp + (k + 1)
1523 ccopy_(&i__1, &a[kp + kk * a_dim1], &c__1, &a[kp + kp *
1526 /* Interchange rows KK and KP in first KK columns of A and W */
1528 cswap_(&kk, &a[kk + a_dim1], lda, &a[kp + a_dim1], lda);
1529 cswap_(&kk, &w[kk + w_dim1], ldw, &w[kp + w_dim1], ldw);
1534 /* 1-by-1 pivot block D(k): column k of W now holds */
1536 /* W(k) = L(k)*D(k) */
1538 /* where L(k) is the k-th column of L */
1540 /* Store L(k) in column k of A */
1543 ccopy_(&i__1, &w[k + k * w_dim1], &c__1, &a[k + k * a_dim1], &
1546 i__1 = k + k * a_dim1;
1547 if ((r__1 = a[i__1].r, abs(r__1)) + (r__2 = r_imag(&a[k +
1548 k * a_dim1]), abs(r__2)) >= sfmin) {
1549 c_div(&q__1, &c_b1, &a[k + k * a_dim1]);
1550 r1.r = q__1.r, r1.i = q__1.i;
1552 cscal_(&i__1, &r1, &a[k + 1 + k * a_dim1], &c__1);
1553 } else /* if(complicated condition) */ {
1554 i__1 = k + k * a_dim1;
1555 if (a[i__1].r != 0.f || a[i__1].i != 0.f) {
1557 for (ii = k + 1; ii <= i__1; ++ii) {
1558 i__2 = ii + k * a_dim1;
1559 c_div(&q__1, &a[ii + k * a_dim1], &a[k + k *
1561 a[i__2].r = q__1.r, a[i__2].i = q__1.i;
1567 /* Store the subdiagonal element of D in array E */
1570 e[i__1].r = 0.f, e[i__1].i = 0.f;
1576 /* 2-by-2 pivot block D(k): columns k and k+1 of W now hold */
1578 /* ( W(k) W(k+1) ) = ( L(k) L(k+1) )*D(k) */
1580 /* where L(k) and L(k+1) are the k-th and (k+1)-th columns */
1585 /* Store L(k) and L(k+1) in columns k and k+1 of A */
1587 i__1 = k + 1 + k * w_dim1;
1588 d21.r = w[i__1].r, d21.i = w[i__1].i;
1589 c_div(&q__1, &w[k + 1 + (k + 1) * w_dim1], &d21);
1590 d11.r = q__1.r, d11.i = q__1.i;
1591 c_div(&q__1, &w[k + k * w_dim1], &d21);
1592 d22.r = q__1.r, d22.i = q__1.i;
1593 q__3.r = d11.r * d22.r - d11.i * d22.i, q__3.i = d11.r *
1594 d22.i + d11.i * d22.r;
1595 q__2.r = q__3.r - 1.f, q__2.i = q__3.i + 0.f;
1596 c_div(&q__1, &c_b1, &q__2);
1597 t.r = q__1.r, t.i = q__1.i;
1599 for (j = k + 2; j <= i__1; ++j) {
1600 i__2 = j + k * a_dim1;
1601 i__3 = j + k * w_dim1;
1602 q__4.r = d11.r * w[i__3].r - d11.i * w[i__3].i,
1603 q__4.i = d11.r * w[i__3].i + d11.i * w[i__3]
1605 i__4 = j + (k + 1) * w_dim1;
1606 q__3.r = q__4.r - w[i__4].r, q__3.i = q__4.i - w[i__4]
1608 c_div(&q__2, &q__3, &d21);
1609 q__1.r = t.r * q__2.r - t.i * q__2.i, q__1.i = t.r *
1610 q__2.i + t.i * q__2.r;
1611 a[i__2].r = q__1.r, a[i__2].i = q__1.i;
1612 i__2 = j + (k + 1) * a_dim1;
1613 i__3 = j + (k + 1) * w_dim1;
1614 q__4.r = d22.r * w[i__3].r - d22.i * w[i__3].i,
1615 q__4.i = d22.r * w[i__3].i + d22.i * w[i__3]
1617 i__4 = j + k * w_dim1;
1618 q__3.r = q__4.r - w[i__4].r, q__3.i = q__4.i - w[i__4]
1620 c_div(&q__2, &q__3, &d21);
1621 q__1.r = t.r * q__2.r - t.i * q__2.i, q__1.i = t.r *
1622 q__2.i + t.i * q__2.r;
1623 a[i__2].r = q__1.r, a[i__2].i = q__1.i;
1628 /* Copy diagonal elements of D(K) to A, */
1629 /* copy subdiagonal element of D(K) to E(K) and */
1630 /* ZERO out subdiagonal entry of A */
1632 i__1 = k + k * a_dim1;
1633 i__2 = k + k * w_dim1;
1634 a[i__1].r = w[i__2].r, a[i__1].i = w[i__2].i;
1635 i__1 = k + 1 + k * a_dim1;
1636 a[i__1].r = 0.f, a[i__1].i = 0.f;
1637 i__1 = k + 1 + (k + 1) * a_dim1;
1638 i__2 = k + 1 + (k + 1) * w_dim1;
1639 a[i__1].r = w[i__2].r, a[i__1].i = w[i__2].i;
1641 i__2 = k + 1 + k * w_dim1;
1642 e[i__1].r = w[i__2].r, e[i__1].i = w[i__2].i;
1644 e[i__1].r = 0.f, e[i__1].i = 0.f;
1648 /* End column K is nonsingular */
1652 /* Store details of the interchanges in IPIV */
1661 /* Increase K and return to the start of the main loop */
1668 /* Update the lower triangle of A22 (= A(k:n,k:n)) as */
1670 /* A22 := A22 - L21*D*L21**T = A22 - L21*W**T */
1672 /* computing blocks of NB columns at a time */
1676 for (j = k; i__2 < 0 ? j >= i__1 : j <= i__1; j += i__2) {
1678 i__3 = *nb, i__4 = *n - j + 1;
1679 jb = f2cmin(i__3,i__4);
1681 /* Update the lower triangle of the diagonal block */
1684 for (jj = j; jj <= i__3; ++jj) {
1687 q__1.r = -1.f, q__1.i = 0.f;
1688 cgemv_("No transpose", &i__4, &i__5, &q__1, &a[jj + a_dim1],
1689 lda, &w[jj + w_dim1], ldw, &c_b1, &a[jj + jj * a_dim1]
1694 /* Update the rectangular subdiagonal block */
1697 i__3 = *n - j - jb + 1;
1699 q__1.r = -1.f, q__1.i = 0.f;
1700 cgemm_("No transpose", "Transpose", &i__3, &jb, &i__4, &q__1,
1701 &a[j + jb + a_dim1], lda, &w[j + w_dim1], ldw, &c_b1,
1702 &a[j + jb + j * a_dim1], lda);
1707 /* Set KB to the number of columns factorized */
1715 /* End of CLASYF_RK */