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zlahef_rk.c 63 kB

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  1. #include <math.h>
  2. #include <stdlib.h>
  3. #include <string.h>
  4. #include <stdio.h>
  5. #include <complex.h>
  6. #ifdef complex
  7. #undef complex
  8. #endif
  9. #ifdef I
  10. #undef I
  11. #endif
  12. #if defined(_WIN64)
  13. typedef long long BLASLONG;
  14. typedef unsigned long long BLASULONG;
  15. #else
  16. typedef long BLASLONG;
  17. typedef unsigned long BLASULONG;
  18. #endif
  19. #ifdef LAPACK_ILP64
  20. typedef BLASLONG blasint;
  21. #if defined(_WIN64)
  22. #define blasabs(x) llabs(x)
  23. #else
  24. #define blasabs(x) labs(x)
  25. #endif
  26. #else
  27. typedef int blasint;
  28. #define blasabs(x) abs(x)
  29. #endif
  30. typedef blasint integer;
  31. typedef unsigned int uinteger;
  32. typedef char *address;
  33. typedef short int shortint;
  34. typedef float real;
  35. typedef double doublereal;
  36. typedef struct { real r, i; } complex;
  37. typedef struct { doublereal r, i; } doublecomplex;
  38. #ifdef _MSC_VER
  39. static inline _Fcomplex Cf(complex *z) {_Fcomplex zz={z->r , z->i}; return zz;}
  40. static inline _Dcomplex Cd(doublecomplex *z) {_Dcomplex zz={z->r , z->i};return zz;}
  41. static inline _Fcomplex * _pCf(complex *z) {return (_Fcomplex*)z;}
  42. static inline _Dcomplex * _pCd(doublecomplex *z) {return (_Dcomplex*)z;}
  43. #else
  44. static inline _Complex float Cf(complex *z) {return z->r + z->i*_Complex_I;}
  45. static inline _Complex double Cd(doublecomplex *z) {return z->r + z->i*_Complex_I;}
  46. static inline _Complex float * _pCf(complex *z) {return (_Complex float*)z;}
  47. static inline _Complex double * _pCd(doublecomplex *z) {return (_Complex double*)z;}
  48. #endif
  49. #define pCf(z) (*_pCf(z))
  50. #define pCd(z) (*_pCd(z))
  51. typedef int logical;
  52. typedef short int shortlogical;
  53. typedef char logical1;
  54. typedef char integer1;
  55. #define TRUE_ (1)
  56. #define FALSE_ (0)
  57. /* Extern is for use with -E */
  58. #ifndef Extern
  59. #define Extern extern
  60. #endif
  61. /* I/O stuff */
  62. typedef int flag;
  63. typedef int ftnlen;
  64. typedef int ftnint;
  65. /*external read, write*/
  66. typedef struct
  67. { flag cierr;
  68. ftnint ciunit;
  69. flag ciend;
  70. char *cifmt;
  71. ftnint cirec;
  72. } cilist;
  73. /*internal read, write*/
  74. typedef struct
  75. { flag icierr;
  76. char *iciunit;
  77. flag iciend;
  78. char *icifmt;
  79. ftnint icirlen;
  80. ftnint icirnum;
  81. } icilist;
  82. /*open*/
  83. typedef struct
  84. { flag oerr;
  85. ftnint ounit;
  86. char *ofnm;
  87. ftnlen ofnmlen;
  88. char *osta;
  89. char *oacc;
  90. char *ofm;
  91. ftnint orl;
  92. char *oblnk;
  93. } olist;
  94. /*close*/
  95. typedef struct
  96. { flag cerr;
  97. ftnint cunit;
  98. char *csta;
  99. } cllist;
  100. /*rewind, backspace, endfile*/
  101. typedef struct
  102. { flag aerr;
  103. ftnint aunit;
  104. } alist;
  105. /* inquire */
  106. typedef struct
  107. { flag inerr;
  108. ftnint inunit;
  109. char *infile;
  110. ftnlen infilen;
  111. ftnint *inex; /*parameters in standard's order*/
  112. ftnint *inopen;
  113. ftnint *innum;
  114. ftnint *innamed;
  115. char *inname;
  116. ftnlen innamlen;
  117. char *inacc;
  118. ftnlen inacclen;
  119. char *inseq;
  120. ftnlen inseqlen;
  121. char *indir;
  122. ftnlen indirlen;
  123. char *infmt;
  124. ftnlen infmtlen;
  125. char *inform;
  126. ftnint informlen;
  127. char *inunf;
  128. ftnlen inunflen;
  129. ftnint *inrecl;
  130. ftnint *innrec;
  131. char *inblank;
  132. ftnlen inblanklen;
  133. } inlist;
  134. #define VOID void
  135. union Multitype { /* for multiple entry points */
  136. integer1 g;
  137. shortint h;
  138. integer i;
  139. /* longint j; */
  140. real r;
  141. doublereal d;
  142. complex c;
  143. doublecomplex z;
  144. };
  145. typedef union Multitype Multitype;
  146. struct Vardesc { /* for Namelist */
  147. char *name;
  148. char *addr;
  149. ftnlen *dims;
  150. int type;
  151. };
  152. typedef struct Vardesc Vardesc;
  153. struct Namelist {
  154. char *name;
  155. Vardesc **vars;
  156. int nvars;
  157. };
  158. typedef struct Namelist Namelist;
  159. #define abs(x) ((x) >= 0 ? (x) : -(x))
  160. #define dabs(x) (fabs(x))
  161. #define f2cmin(a,b) ((a) <= (b) ? (a) : (b))
  162. #define f2cmax(a,b) ((a) >= (b) ? (a) : (b))
  163. #define dmin(a,b) (f2cmin(a,b))
  164. #define dmax(a,b) (f2cmax(a,b))
  165. #define bit_test(a,b) ((a) >> (b) & 1)
  166. #define bit_clear(a,b) ((a) & ~((uinteger)1 << (b)))
  167. #define bit_set(a,b) ((a) | ((uinteger)1 << (b)))
  168. #define abort_() { sig_die("Fortran abort routine called", 1); }
  169. #define c_abs(z) (cabsf(Cf(z)))
  170. #define c_cos(R,Z) { pCf(R)=ccos(Cf(Z)); }
  171. #ifdef _MSC_VER
  172. #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]);}
  173. #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]);}
  174. #else
  175. #define c_div(c, a, b) {pCf(c) = Cf(a)/Cf(b);}
  176. #define z_div(c, a, b) {pCd(c) = Cd(a)/Cd(b);}
  177. #endif
  178. #define c_exp(R, Z) {pCf(R) = cexpf(Cf(Z));}
  179. #define c_log(R, Z) {pCf(R) = clogf(Cf(Z));}
  180. #define c_sin(R, Z) {pCf(R) = csinf(Cf(Z));}
  181. //#define c_sqrt(R, Z) {*(R) = csqrtf(Cf(Z));}
  182. #define c_sqrt(R, Z) {pCf(R) = csqrtf(Cf(Z));}
  183. #define d_abs(x) (fabs(*(x)))
  184. #define d_acos(x) (acos(*(x)))
  185. #define d_asin(x) (asin(*(x)))
  186. #define d_atan(x) (atan(*(x)))
  187. #define d_atn2(x, y) (atan2(*(x),*(y)))
  188. #define d_cnjg(R, Z) { pCd(R) = conj(Cd(Z)); }
  189. #define r_cnjg(R, Z) { pCf(R) = conjf(Cf(Z)); }
  190. #define d_cos(x) (cos(*(x)))
  191. #define d_cosh(x) (cosh(*(x)))
  192. #define d_dim(__a, __b) ( *(__a) > *(__b) ? *(__a) - *(__b) : 0.0 )
  193. #define d_exp(x) (exp(*(x)))
  194. #define d_imag(z) (cimag(Cd(z)))
  195. #define r_imag(z) (cimagf(Cf(z)))
  196. #define d_int(__x) (*(__x)>0 ? floor(*(__x)) : -floor(- *(__x)))
  197. #define r_int(__x) (*(__x)>0 ? floor(*(__x)) : -floor(- *(__x)))
  198. #define d_lg10(x) ( 0.43429448190325182765 * log(*(x)) )
  199. #define r_lg10(x) ( 0.43429448190325182765 * log(*(x)) )
  200. #define d_log(x) (log(*(x)))
  201. #define d_mod(x, y) (fmod(*(x), *(y)))
  202. #define u_nint(__x) ((__x)>=0 ? floor((__x) + .5) : -floor(.5 - (__x)))
  203. #define d_nint(x) u_nint(*(x))
  204. #define u_sign(__a,__b) ((__b) >= 0 ? ((__a) >= 0 ? (__a) : -(__a)) : -((__a) >= 0 ? (__a) : -(__a)))
  205. #define d_sign(a,b) u_sign(*(a),*(b))
  206. #define r_sign(a,b) u_sign(*(a),*(b))
  207. #define d_sin(x) (sin(*(x)))
  208. #define d_sinh(x) (sinh(*(x)))
  209. #define d_sqrt(x) (sqrt(*(x)))
  210. #define d_tan(x) (tan(*(x)))
  211. #define d_tanh(x) (tanh(*(x)))
  212. #define i_abs(x) abs(*(x))
  213. #define i_dnnt(x) ((integer)u_nint(*(x)))
  214. #define i_len(s, n) (n)
  215. #define i_nint(x) ((integer)u_nint(*(x)))
  216. #define i_sign(a,b) ((integer)u_sign((integer)*(a),(integer)*(b)))
  217. #define pow_dd(ap, bp) ( pow(*(ap), *(bp)))
  218. #define pow_si(B,E) spow_ui(*(B),*(E))
  219. #define pow_ri(B,E) spow_ui(*(B),*(E))
  220. #define pow_di(B,E) dpow_ui(*(B),*(E))
  221. #define pow_zi(p, a, b) {pCd(p) = zpow_ui(Cd(a), *(b));}
  222. #define pow_ci(p, a, b) {pCf(p) = cpow_ui(Cf(a), *(b));}
  223. #define pow_zz(R,A,B) {pCd(R) = cpow(Cd(A),*(B));}
  224. #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++ = ' '; }
  225. #define s_cmp(a,b,c,d) ((integer)strncmp((a),(b),f2cmin((c),(d))))
  226. #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]; }
  227. #define sig_die(s, kill) { exit(1); }
  228. #define s_stop(s, n) {exit(0);}
  229. static char junk[] = "\n@(#)LIBF77 VERSION 19990503\n";
  230. #define z_abs(z) (cabs(Cd(z)))
  231. #define z_exp(R, Z) {pCd(R) = cexp(Cd(Z));}
  232. #define z_sqrt(R, Z) {pCd(R) = csqrt(Cd(Z));}
  233. #define myexit_() break;
  234. #define mycycle() continue;
  235. #define myceiling(w) {ceil(w)}
  236. #define myhuge(w) {HUGE_VAL}
  237. //#define mymaxloc_(w,s,e,n) {if (sizeof(*(w)) == sizeof(double)) dmaxloc_((w),*(s),*(e),n); else dmaxloc_((w),*(s),*(e),n);}
  238. #define mymaxloc(w,s,e,n) {dmaxloc_(w,*(s),*(e),n)}
  239. /* procedure parameter types for -A and -C++ */
  240. #define F2C_proc_par_types 1
  241. #ifdef __cplusplus
  242. typedef logical (*L_fp)(...);
  243. #else
  244. typedef logical (*L_fp)();
  245. #endif
  246. static float spow_ui(float x, integer n) {
  247. float pow=1.0; unsigned long int u;
  248. if(n != 0) {
  249. if(n < 0) n = -n, x = 1/x;
  250. for(u = n; ; ) {
  251. if(u & 01) pow *= x;
  252. if(u >>= 1) x *= x;
  253. else break;
  254. }
  255. }
  256. return pow;
  257. }
  258. static double dpow_ui(double x, integer n) {
  259. double pow=1.0; unsigned long int u;
  260. if(n != 0) {
  261. if(n < 0) n = -n, x = 1/x;
  262. for(u = n; ; ) {
  263. if(u & 01) pow *= x;
  264. if(u >>= 1) x *= x;
  265. else break;
  266. }
  267. }
  268. return pow;
  269. }
  270. #ifdef _MSC_VER
  271. static _Fcomplex cpow_ui(complex x, integer n) {
  272. complex pow={1.0,0.0}; unsigned long int u;
  273. if(n != 0) {
  274. if(n < 0) n = -n, x.r = 1/x.r, x.i=1/x.i;
  275. for(u = n; ; ) {
  276. if(u & 01) pow.r *= x.r, pow.i *= x.i;
  277. if(u >>= 1) x.r *= x.r, x.i *= x.i;
  278. else break;
  279. }
  280. }
  281. _Fcomplex p={pow.r, pow.i};
  282. return p;
  283. }
  284. #else
  285. static _Complex float cpow_ui(_Complex float x, integer n) {
  286. _Complex float pow=1.0; unsigned long int u;
  287. if(n != 0) {
  288. if(n < 0) n = -n, x = 1/x;
  289. for(u = n; ; ) {
  290. if(u & 01) pow *= x;
  291. if(u >>= 1) x *= x;
  292. else break;
  293. }
  294. }
  295. return pow;
  296. }
  297. #endif
  298. #ifdef _MSC_VER
  299. static _Dcomplex zpow_ui(_Dcomplex x, integer n) {
  300. _Dcomplex pow={1.0,0.0}; unsigned long int u;
  301. if(n != 0) {
  302. if(n < 0) n = -n, x._Val[0] = 1/x._Val[0], x._Val[1] =1/x._Val[1];
  303. for(u = n; ; ) {
  304. if(u & 01) pow._Val[0] *= x._Val[0], pow._Val[1] *= x._Val[1];
  305. if(u >>= 1) x._Val[0] *= x._Val[0], x._Val[1] *= x._Val[1];
  306. else break;
  307. }
  308. }
  309. _Dcomplex p = {pow._Val[0], pow._Val[1]};
  310. return p;
  311. }
  312. #else
  313. static _Complex double zpow_ui(_Complex double x, integer n) {
  314. _Complex double pow=1.0; unsigned long int u;
  315. if(n != 0) {
  316. if(n < 0) n = -n, x = 1/x;
  317. for(u = n; ; ) {
  318. if(u & 01) pow *= x;
  319. if(u >>= 1) x *= x;
  320. else break;
  321. }
  322. }
  323. return pow;
  324. }
  325. #endif
  326. static integer pow_ii(integer x, integer n) {
  327. integer pow; unsigned long int u;
  328. if (n <= 0) {
  329. if (n == 0 || x == 1) pow = 1;
  330. else if (x != -1) pow = x == 0 ? 1/x : 0;
  331. else n = -n;
  332. }
  333. if ((n > 0) || !(n == 0 || x == 1 || x != -1)) {
  334. u = n;
  335. for(pow = 1; ; ) {
  336. if(u & 01) pow *= x;
  337. if(u >>= 1) x *= x;
  338. else break;
  339. }
  340. }
  341. return pow;
  342. }
  343. static integer dmaxloc_(double *w, integer s, integer e, integer *n)
  344. {
  345. double m; integer i, mi;
  346. for(m=w[s-1], mi=s, i=s+1; i<=e; i++)
  347. if (w[i-1]>m) mi=i ,m=w[i-1];
  348. return mi-s+1;
  349. }
  350. static integer smaxloc_(float *w, integer s, integer e, integer *n)
  351. {
  352. float m; integer i, mi;
  353. for(m=w[s-1], mi=s, i=s+1; i<=e; i++)
  354. if (w[i-1]>m) mi=i ,m=w[i-1];
  355. return mi-s+1;
  356. }
  357. static inline void cdotc_(complex *z, integer *n_, complex *x, integer *incx_, complex *y, integer *incy_) {
  358. integer n = *n_, incx = *incx_, incy = *incy_, i;
  359. #ifdef _MSC_VER
  360. _Fcomplex zdotc = {0.0, 0.0};
  361. if (incx == 1 && incy == 1) {
  362. for (i=0;i<n;i++) { /* zdotc = zdotc + dconjg(x(i))* y(i) */
  363. zdotc._Val[0] += conjf(Cf(&x[i]))._Val[0] * Cf(&y[i])._Val[0];
  364. zdotc._Val[1] += conjf(Cf(&x[i]))._Val[1] * Cf(&y[i])._Val[1];
  365. }
  366. } else {
  367. for (i=0;i<n;i++) { /* zdotc = zdotc + dconjg(x(i))* y(i) */
  368. zdotc._Val[0] += conjf(Cf(&x[i*incx]))._Val[0] * Cf(&y[i*incy])._Val[0];
  369. zdotc._Val[1] += conjf(Cf(&x[i*incx]))._Val[1] * Cf(&y[i*incy])._Val[1];
  370. }
  371. }
  372. pCf(z) = zdotc;
  373. }
  374. #else
  375. _Complex float zdotc = 0.0;
  376. if (incx == 1 && incy == 1) {
  377. for (i=0;i<n;i++) { /* zdotc = zdotc + dconjg(x(i))* y(i) */
  378. zdotc += conjf(Cf(&x[i])) * Cf(&y[i]);
  379. }
  380. } else {
  381. for (i=0;i<n;i++) { /* zdotc = zdotc + dconjg(x(i))* y(i) */
  382. zdotc += conjf(Cf(&x[i*incx])) * Cf(&y[i*incy]);
  383. }
  384. }
  385. pCf(z) = zdotc;
  386. }
  387. #endif
  388. static inline void zdotc_(doublecomplex *z, integer *n_, doublecomplex *x, integer *incx_, doublecomplex *y, integer *incy_) {
  389. integer n = *n_, incx = *incx_, incy = *incy_, i;
  390. #ifdef _MSC_VER
  391. _Dcomplex zdotc = {0.0, 0.0};
  392. if (incx == 1 && incy == 1) {
  393. for (i=0;i<n;i++) { /* zdotc = zdotc + dconjg(x(i))* y(i) */
  394. zdotc._Val[0] += conj(Cd(&x[i]))._Val[0] * Cd(&y[i])._Val[0];
  395. zdotc._Val[1] += conj(Cd(&x[i]))._Val[1] * Cd(&y[i])._Val[1];
  396. }
  397. } else {
  398. for (i=0;i<n;i++) { /* zdotc = zdotc + dconjg(x(i))* y(i) */
  399. zdotc._Val[0] += conj(Cd(&x[i*incx]))._Val[0] * Cd(&y[i*incy])._Val[0];
  400. zdotc._Val[1] += conj(Cd(&x[i*incx]))._Val[1] * Cd(&y[i*incy])._Val[1];
  401. }
  402. }
  403. pCd(z) = zdotc;
  404. }
  405. #else
  406. _Complex double zdotc = 0.0;
  407. if (incx == 1 && incy == 1) {
  408. for (i=0;i<n;i++) { /* zdotc = zdotc + dconjg(x(i))* y(i) */
  409. zdotc += conj(Cd(&x[i])) * Cd(&y[i]);
  410. }
  411. } else {
  412. for (i=0;i<n;i++) { /* zdotc = zdotc + dconjg(x(i))* y(i) */
  413. zdotc += conj(Cd(&x[i*incx])) * Cd(&y[i*incy]);
  414. }
  415. }
  416. pCd(z) = zdotc;
  417. }
  418. #endif
  419. static inline void cdotu_(complex *z, integer *n_, complex *x, integer *incx_, complex *y, integer *incy_) {
  420. integer n = *n_, incx = *incx_, incy = *incy_, i;
  421. #ifdef _MSC_VER
  422. _Fcomplex zdotc = {0.0, 0.0};
  423. if (incx == 1 && incy == 1) {
  424. for (i=0;i<n;i++) { /* zdotc = zdotc + dconjg(x(i))* y(i) */
  425. zdotc._Val[0] += Cf(&x[i])._Val[0] * Cf(&y[i])._Val[0];
  426. zdotc._Val[1] += Cf(&x[i])._Val[1] * Cf(&y[i])._Val[1];
  427. }
  428. } else {
  429. for (i=0;i<n;i++) { /* zdotc = zdotc + dconjg(x(i))* y(i) */
  430. zdotc._Val[0] += Cf(&x[i*incx])._Val[0] * Cf(&y[i*incy])._Val[0];
  431. zdotc._Val[1] += Cf(&x[i*incx])._Val[1] * Cf(&y[i*incy])._Val[1];
  432. }
  433. }
  434. pCf(z) = zdotc;
  435. }
  436. #else
  437. _Complex float zdotc = 0.0;
  438. if (incx == 1 && incy == 1) {
  439. for (i=0;i<n;i++) { /* zdotc = zdotc + dconjg(x(i))* y(i) */
  440. zdotc += Cf(&x[i]) * Cf(&y[i]);
  441. }
  442. } else {
  443. for (i=0;i<n;i++) { /* zdotc = zdotc + dconjg(x(i))* y(i) */
  444. zdotc += Cf(&x[i*incx]) * Cf(&y[i*incy]);
  445. }
  446. }
  447. pCf(z) = zdotc;
  448. }
  449. #endif
  450. static inline void zdotu_(doublecomplex *z, integer *n_, doublecomplex *x, integer *incx_, doublecomplex *y, integer *incy_) {
  451. integer n = *n_, incx = *incx_, incy = *incy_, i;
  452. #ifdef _MSC_VER
  453. _Dcomplex zdotc = {0.0, 0.0};
  454. if (incx == 1 && incy == 1) {
  455. for (i=0;i<n;i++) { /* zdotc = zdotc + dconjg(x(i))* y(i) */
  456. zdotc._Val[0] += Cd(&x[i])._Val[0] * Cd(&y[i])._Val[0];
  457. zdotc._Val[1] += Cd(&x[i])._Val[1] * Cd(&y[i])._Val[1];
  458. }
  459. } else {
  460. for (i=0;i<n;i++) { /* zdotc = zdotc + dconjg(x(i))* y(i) */
  461. zdotc._Val[0] += Cd(&x[i*incx])._Val[0] * Cd(&y[i*incy])._Val[0];
  462. zdotc._Val[1] += Cd(&x[i*incx])._Val[1] * Cd(&y[i*incy])._Val[1];
  463. }
  464. }
  465. pCd(z) = zdotc;
  466. }
  467. #else
  468. _Complex double zdotc = 0.0;
  469. if (incx == 1 && incy == 1) {
  470. for (i=0;i<n;i++) { /* zdotc = zdotc + dconjg(x(i))* y(i) */
  471. zdotc += Cd(&x[i]) * Cd(&y[i]);
  472. }
  473. } else {
  474. for (i=0;i<n;i++) { /* zdotc = zdotc + dconjg(x(i))* y(i) */
  475. zdotc += Cd(&x[i*incx]) * Cd(&y[i*incy]);
  476. }
  477. }
  478. pCd(z) = zdotc;
  479. }
  480. #endif
  481. /* -- translated by f2c (version 20000121).
  482. You must link the resulting object file with the libraries:
  483. -lf2c -lm (in that order)
  484. */
  485. /* Table of constant values */
  486. static doublecomplex c_b1 = {1.,0.};
  487. static integer c__1 = 1;
  488. /* > \brief \b ZLAHEF_RK computes a partial factorization of a complex Hermitian indefinite matrix using bound
  489. ed Bunch-Kaufman (rook) diagonal pivoting method. */
  490. /* =========== DOCUMENTATION =========== */
  491. /* Online html documentation available at */
  492. /* http://www.netlib.org/lapack/explore-html/ */
  493. /* > \htmlonly */
  494. /* > Download ZLAHEF_RK + dependencies */
  495. /* > <a href="http://www.netlib.org/cgi-bin/netlibfiles.tgz?format=tgz&filename=/lapack/lapack_routine/zlahef_
  496. rk.f"> */
  497. /* > [TGZ]</a> */
  498. /* > <a href="http://www.netlib.org/cgi-bin/netlibfiles.zip?format=zip&filename=/lapack/lapack_routine/zlahef_
  499. rk.f"> */
  500. /* > [ZIP]</a> */
  501. /* > <a href="http://www.netlib.org/cgi-bin/netlibfiles.txt?format=txt&filename=/lapack/lapack_routine/zlahef_
  502. rk.f"> */
  503. /* > [TXT]</a> */
  504. /* > \endhtmlonly */
  505. /* Definition: */
  506. /* =========== */
  507. /* SUBROUTINE ZLAHEF_RK( UPLO, N, NB, KB, A, LDA, E, IPIV, W, LDW, */
  508. /* INFO ) */
  509. /* CHARACTER UPLO */
  510. /* INTEGER INFO, KB, LDA, LDW, N, NB */
  511. /* INTEGER IPIV( * ) */
  512. /* COMPLEX*16 A( LDA, * ), E( * ), W( LDW, * ) */
  513. /* > \par Purpose: */
  514. /* ============= */
  515. /* > */
  516. /* > \verbatim */
  517. /* > ZLAHEF_RK computes a partial factorization of a complex Hermitian */
  518. /* > matrix A using the bounded Bunch-Kaufman (rook) diagonal */
  519. /* > pivoting method. The partial factorization has the form: */
  520. /* > */
  521. /* > A = ( I U12 ) ( A11 0 ) ( I 0 ) if UPLO = 'U', or: */
  522. /* > ( 0 U22 ) ( 0 D ) ( U12**H U22**H ) */
  523. /* > */
  524. /* > A = ( L11 0 ) ( D 0 ) ( L11**H L21**H ) if UPLO = 'L', */
  525. /* > ( L21 I ) ( 0 A22 ) ( 0 I ) */
  526. /* > */
  527. /* > where the order of D is at most NB. The actual order is returned in */
  528. /* > the argument KB, and is either NB or NB-1, or N if N <= NB. */
  529. /* > */
  530. /* > ZLAHEF_RK is an auxiliary routine called by ZHETRF_RK. It uses */
  531. /* > blocked code (calling Level 3 BLAS) to update the submatrix */
  532. /* > A11 (if UPLO = 'U') or A22 (if UPLO = 'L'). */
  533. /* > \endverbatim */
  534. /* Arguments: */
  535. /* ========== */
  536. /* > \param[in] UPLO */
  537. /* > \verbatim */
  538. /* > UPLO is CHARACTER*1 */
  539. /* > Specifies whether the upper or lower triangular part of the */
  540. /* > Hermitian matrix A is stored: */
  541. /* > = 'U': Upper triangular */
  542. /* > = 'L': Lower triangular */
  543. /* > \endverbatim */
  544. /* > */
  545. /* > \param[in] N */
  546. /* > \verbatim */
  547. /* > N is INTEGER */
  548. /* > The order of the matrix A. N >= 0. */
  549. /* > \endverbatim */
  550. /* > */
  551. /* > \param[in] NB */
  552. /* > \verbatim */
  553. /* > NB is INTEGER */
  554. /* > The maximum number of columns of the matrix A that should be */
  555. /* > factored. NB should be at least 2 to allow for 2-by-2 pivot */
  556. /* > blocks. */
  557. /* > \endverbatim */
  558. /* > */
  559. /* > \param[out] KB */
  560. /* > \verbatim */
  561. /* > KB is INTEGER */
  562. /* > The number of columns of A that were actually factored. */
  563. /* > KB is either NB-1 or NB, or N if N <= NB. */
  564. /* > \endverbatim */
  565. /* > */
  566. /* > \param[in,out] A */
  567. /* > \verbatim */
  568. /* > A is COMPLEX*16 array, dimension (LDA,N) */
  569. /* > On entry, the Hermitian matrix A. */
  570. /* > If UPLO = 'U': the leading N-by-N upper triangular part */
  571. /* > of A contains the upper triangular part of the matrix A, */
  572. /* > and the strictly lower triangular part of A is not */
  573. /* > referenced. */
  574. /* > */
  575. /* > If UPLO = 'L': the leading N-by-N lower triangular part */
  576. /* > of A contains the lower triangular part of the matrix A, */
  577. /* > and the strictly upper triangular part of A is not */
  578. /* > referenced. */
  579. /* > */
  580. /* > On exit, contains: */
  581. /* > a) ONLY diagonal elements of the Hermitian block diagonal */
  582. /* > matrix D on the diagonal of A, i.e. D(k,k) = A(k,k); */
  583. /* > (superdiagonal (or subdiagonal) elements of D */
  584. /* > are stored on exit in array E), and */
  585. /* > b) If UPLO = 'U': factor U in the superdiagonal part of A. */
  586. /* > If UPLO = 'L': factor L in the subdiagonal part of A. */
  587. /* > \endverbatim */
  588. /* > */
  589. /* > \param[in] LDA */
  590. /* > \verbatim */
  591. /* > LDA is INTEGER */
  592. /* > The leading dimension of the array A. LDA >= f2cmax(1,N). */
  593. /* > \endverbatim */
  594. /* > */
  595. /* > \param[out] E */
  596. /* > \verbatim */
  597. /* > E is COMPLEX*16 array, dimension (N) */
  598. /* > On exit, contains the superdiagonal (or subdiagonal) */
  599. /* > elements of the Hermitian block diagonal matrix D */
  600. /* > with 1-by-1 or 2-by-2 diagonal blocks, where */
  601. /* > If UPLO = 'U': E(i) = D(i-1,i), i=2:N, E(1) is set to 0; */
  602. /* > If UPLO = 'L': E(i) = D(i+1,i), i=1:N-1, E(N) is set to 0. */
  603. /* > */
  604. /* > NOTE: For 1-by-1 diagonal block D(k), where */
  605. /* > 1 <= k <= N, the element E(k) is set to 0 in both */
  606. /* > UPLO = 'U' or UPLO = 'L' cases. */
  607. /* > \endverbatim */
  608. /* > */
  609. /* > \param[out] IPIV */
  610. /* > \verbatim */
  611. /* > IPIV is INTEGER array, dimension (N) */
  612. /* > IPIV describes the permutation matrix P in the factorization */
  613. /* > of matrix A as follows. The absolute value of IPIV(k) */
  614. /* > represents the index of row and column that were */
  615. /* > interchanged with the k-th row and column. The value of UPLO */
  616. /* > describes the order in which the interchanges were applied. */
  617. /* > Also, the sign of IPIV represents the block structure of */
  618. /* > the Hermitian block diagonal matrix D with 1-by-1 or 2-by-2 */
  619. /* > diagonal blocks which correspond to 1 or 2 interchanges */
  620. /* > at each factorization step. */
  621. /* > */
  622. /* > If UPLO = 'U', */
  623. /* > ( in factorization order, k decreases from N to 1 ): */
  624. /* > a) A single positive entry IPIV(k) > 0 means: */
  625. /* > D(k,k) is a 1-by-1 diagonal block. */
  626. /* > If IPIV(k) != k, rows and columns k and IPIV(k) were */
  627. /* > interchanged in the submatrix A(1:N,N-KB+1:N); */
  628. /* > If IPIV(k) = k, no interchange occurred. */
  629. /* > */
  630. /* > */
  631. /* > b) A pair of consecutive negative entries */
  632. /* > IPIV(k) < 0 and IPIV(k-1) < 0 means: */
  633. /* > D(k-1:k,k-1:k) is a 2-by-2 diagonal block. */
  634. /* > (NOTE: negative entries in IPIV appear ONLY in pairs). */
  635. /* > 1) If -IPIV(k) != k, rows and columns */
  636. /* > k and -IPIV(k) were interchanged */
  637. /* > in the matrix A(1:N,N-KB+1:N). */
  638. /* > If -IPIV(k) = k, no interchange occurred. */
  639. /* > 2) If -IPIV(k-1) != k-1, rows and columns */
  640. /* > k-1 and -IPIV(k-1) were interchanged */
  641. /* > in the submatrix A(1:N,N-KB+1:N). */
  642. /* > If -IPIV(k-1) = k-1, no interchange occurred. */
  643. /* > */
  644. /* > c) In both cases a) and b) is always ABS( IPIV(k) ) <= k. */
  645. /* > */
  646. /* > d) NOTE: Any entry IPIV(k) is always NONZERO on output. */
  647. /* > */
  648. /* > If UPLO = 'L', */
  649. /* > ( in factorization order, k increases from 1 to N ): */
  650. /* > a) A single positive entry IPIV(k) > 0 means: */
  651. /* > D(k,k) is a 1-by-1 diagonal block. */
  652. /* > If IPIV(k) != k, rows and columns k and IPIV(k) were */
  653. /* > interchanged in the submatrix A(1:N,1:KB). */
  654. /* > If IPIV(k) = k, no interchange occurred. */
  655. /* > */
  656. /* > b) A pair of consecutive negative entries */
  657. /* > IPIV(k) < 0 and IPIV(k+1) < 0 means: */
  658. /* > D(k:k+1,k:k+1) is a 2-by-2 diagonal block. */
  659. /* > (NOTE: negative entries in IPIV appear ONLY in pairs). */
  660. /* > 1) If -IPIV(k) != k, rows and columns */
  661. /* > k and -IPIV(k) were interchanged */
  662. /* > in the submatrix A(1:N,1:KB). */
  663. /* > If -IPIV(k) = k, no interchange occurred. */
  664. /* > 2) If -IPIV(k+1) != k+1, rows and columns */
  665. /* > k-1 and -IPIV(k-1) were interchanged */
  666. /* > in the submatrix A(1:N,1:KB). */
  667. /* > If -IPIV(k+1) = k+1, no interchange occurred. */
  668. /* > */
  669. /* > c) In both cases a) and b) is always ABS( IPIV(k) ) >= k. */
  670. /* > */
  671. /* > d) NOTE: Any entry IPIV(k) is always NONZERO on output. */
  672. /* > \endverbatim */
  673. /* > */
  674. /* > \param[out] W */
  675. /* > \verbatim */
  676. /* > W is COMPLEX*16 array, dimension (LDW,NB) */
  677. /* > \endverbatim */
  678. /* > */
  679. /* > \param[in] LDW */
  680. /* > \verbatim */
  681. /* > LDW is INTEGER */
  682. /* > The leading dimension of the array W. LDW >= f2cmax(1,N). */
  683. /* > \endverbatim */
  684. /* > */
  685. /* > \param[out] INFO */
  686. /* > \verbatim */
  687. /* > INFO is INTEGER */
  688. /* > = 0: successful exit */
  689. /* > */
  690. /* > < 0: If INFO = -k, the k-th argument had an illegal value */
  691. /* > */
  692. /* > > 0: If INFO = k, the matrix A is singular, because: */
  693. /* > If UPLO = 'U': column k in the upper */
  694. /* > triangular part of A contains all zeros. */
  695. /* > If UPLO = 'L': column k in the lower */
  696. /* > triangular part of A contains all zeros. */
  697. /* > */
  698. /* > Therefore D(k,k) is exactly zero, and superdiagonal */
  699. /* > elements of column k of U (or subdiagonal elements of */
  700. /* > column k of L ) are all zeros. The factorization has */
  701. /* > been completed, but the block diagonal matrix D is */
  702. /* > exactly singular, and division by zero will occur if */
  703. /* > it is used to solve a system of equations. */
  704. /* > */
  705. /* > NOTE: INFO only stores the first occurrence of */
  706. /* > a singularity, any subsequent occurrence of singularity */
  707. /* > is not stored in INFO even though the factorization */
  708. /* > always completes. */
  709. /* > \endverbatim */
  710. /* Authors: */
  711. /* ======== */
  712. /* > \author Univ. of Tennessee */
  713. /* > \author Univ. of California Berkeley */
  714. /* > \author Univ. of Colorado Denver */
  715. /* > \author NAG Ltd. */
  716. /* > \date December 2016 */
  717. /* > \ingroup complex16HEcomputational */
  718. /* > \par Contributors: */
  719. /* ================== */
  720. /* > */
  721. /* > \verbatim */
  722. /* > */
  723. /* > December 2016, Igor Kozachenko, */
  724. /* > Computer Science Division, */
  725. /* > University of California, Berkeley */
  726. /* > */
  727. /* > September 2007, Sven Hammarling, Nicholas J. Higham, Craig Lucas, */
  728. /* > School of Mathematics, */
  729. /* > University of Manchester */
  730. /* > */
  731. /* > \endverbatim */
  732. /* ===================================================================== */
  733. /* Subroutine */ void zlahef_rk_(char *uplo, integer *n, integer *nb, integer
  734. *kb, doublecomplex *a, integer *lda, doublecomplex *e, integer *ipiv,
  735. doublecomplex *w, integer *ldw, integer *info)
  736. {
  737. /* System generated locals */
  738. integer a_dim1, a_offset, w_dim1, w_offset, i__1, i__2, i__3, i__4, i__5;
  739. doublereal d__1, d__2;
  740. doublecomplex z__1, z__2, z__3, z__4, z__5;
  741. /* Local variables */
  742. logical done;
  743. integer imax, jmax, j, k, p;
  744. doublereal t, alpha;
  745. extern logical lsame_(char *, char *);
  746. doublereal dtemp, sfmin;
  747. integer itemp;
  748. extern /* Subroutine */ void zgemm_(char *, char *, integer *, integer *,
  749. integer *, doublecomplex *, doublecomplex *, integer *,
  750. doublecomplex *, integer *, doublecomplex *, doublecomplex *,
  751. integer *);
  752. integer kstep;
  753. extern /* Subroutine */ void zgemv_(char *, integer *, integer *,
  754. doublecomplex *, doublecomplex *, integer *, doublecomplex *,
  755. integer *, doublecomplex *, doublecomplex *, integer *);
  756. doublereal r1;
  757. extern /* Subroutine */ void zcopy_(integer *, doublecomplex *, integer *,
  758. doublecomplex *, integer *), zswap_(integer *, doublecomplex *,
  759. integer *, doublecomplex *, integer *);
  760. doublecomplex d11, d21, d22;
  761. integer jb, ii, jj, kk;
  762. extern doublereal dlamch_(char *);
  763. integer kp;
  764. doublereal absakk;
  765. integer kw;
  766. extern /* Subroutine */ void zdscal_(integer *, doublereal *,
  767. doublecomplex *, integer *);
  768. doublereal colmax;
  769. extern /* Subroutine */ void zlacgv_(integer *, doublecomplex *, integer *)
  770. ;
  771. extern integer izamax_(integer *, doublecomplex *, integer *);
  772. doublereal rowmax;
  773. integer kkw;
  774. /* -- LAPACK computational routine (version 3.7.0) -- */
  775. /* -- LAPACK is a software package provided by Univ. of Tennessee, -- */
  776. /* -- Univ. of California Berkeley, Univ. of Colorado Denver and NAG Ltd..-- */
  777. /* December 2016 */
  778. /* ===================================================================== */
  779. /* Parameter adjustments */
  780. a_dim1 = *lda;
  781. a_offset = 1 + a_dim1 * 1;
  782. a -= a_offset;
  783. --e;
  784. --ipiv;
  785. w_dim1 = *ldw;
  786. w_offset = 1 + w_dim1 * 1;
  787. w -= w_offset;
  788. /* Function Body */
  789. *info = 0;
  790. /* Initialize ALPHA for use in choosing pivot block size. */
  791. alpha = (sqrt(17.) + 1.) / 8.;
  792. /* Compute machine safe minimum */
  793. sfmin = dlamch_("S");
  794. if (lsame_(uplo, "U")) {
  795. /* Factorize the trailing columns of A using the upper triangle */
  796. /* of A and working backwards, and compute the matrix W = U12*D */
  797. /* for use in updating A11 (note that conjg(W) is actually stored) */
  798. /* Initialize the first entry of array E, where superdiagonal */
  799. /* elements of D are stored */
  800. e[1].r = 0., e[1].i = 0.;
  801. /* K is the main loop index, decreasing from N in steps of 1 or 2 */
  802. k = *n;
  803. L10:
  804. /* KW is the column of W which corresponds to column K of A */
  805. kw = *nb + k - *n;
  806. /* Exit from loop */
  807. if (k <= *n - *nb + 1 && *nb < *n || k < 1) {
  808. goto L30;
  809. }
  810. kstep = 1;
  811. p = k;
  812. /* Copy column K of A to column KW of W and update it */
  813. if (k > 1) {
  814. i__1 = k - 1;
  815. zcopy_(&i__1, &a[k * a_dim1 + 1], &c__1, &w[kw * w_dim1 + 1], &
  816. c__1);
  817. }
  818. i__1 = k + kw * w_dim1;
  819. i__2 = k + k * a_dim1;
  820. d__1 = a[i__2].r;
  821. w[i__1].r = d__1, w[i__1].i = 0.;
  822. if (k < *n) {
  823. i__1 = *n - k;
  824. z__1.r = -1., z__1.i = 0.;
  825. zgemv_("No transpose", &k, &i__1, &z__1, &a[(k + 1) * a_dim1 + 1],
  826. lda, &w[k + (kw + 1) * w_dim1], ldw, &c_b1, &w[kw *
  827. w_dim1 + 1], &c__1);
  828. i__1 = k + kw * w_dim1;
  829. i__2 = k + kw * w_dim1;
  830. d__1 = w[i__2].r;
  831. w[i__1].r = d__1, w[i__1].i = 0.;
  832. }
  833. /* Determine rows and columns to be interchanged and whether */
  834. /* a 1-by-1 or 2-by-2 pivot block will be used */
  835. i__1 = k + kw * w_dim1;
  836. absakk = (d__1 = w[i__1].r, abs(d__1));
  837. /* IMAX is the row-index of the largest off-diagonal element in */
  838. /* column K, and COLMAX is its absolute value. */
  839. /* Determine both COLMAX and IMAX. */
  840. if (k > 1) {
  841. i__1 = k - 1;
  842. imax = izamax_(&i__1, &w[kw * w_dim1 + 1], &c__1);
  843. i__1 = imax + kw * w_dim1;
  844. colmax = (d__1 = w[i__1].r, abs(d__1)) + (d__2 = d_imag(&w[imax +
  845. kw * w_dim1]), abs(d__2));
  846. } else {
  847. colmax = 0.;
  848. }
  849. if (f2cmax(absakk,colmax) == 0.) {
  850. /* Column K is zero or underflow: set INFO and continue */
  851. if (*info == 0) {
  852. *info = k;
  853. }
  854. kp = k;
  855. i__1 = k + k * a_dim1;
  856. i__2 = k + kw * w_dim1;
  857. d__1 = w[i__2].r;
  858. a[i__1].r = d__1, a[i__1].i = 0.;
  859. if (k > 1) {
  860. i__1 = k - 1;
  861. zcopy_(&i__1, &w[kw * w_dim1 + 1], &c__1, &a[k * a_dim1 + 1],
  862. &c__1);
  863. }
  864. /* Set E( K ) to zero */
  865. if (k > 1) {
  866. i__1 = k;
  867. e[i__1].r = 0., e[i__1].i = 0.;
  868. }
  869. } else {
  870. /* ============================================================ */
  871. /* BEGIN pivot search */
  872. /* Case(1) */
  873. /* Equivalent to testing for ABSAKK.GE.ALPHA*COLMAX */
  874. /* (used to handle NaN and Inf) */
  875. if (! (absakk < alpha * colmax)) {
  876. /* no interchange, use 1-by-1 pivot block */
  877. kp = k;
  878. } else {
  879. /* Lop until pivot found */
  880. done = FALSE_;
  881. L12:
  882. /* BEGIN pivot search loop body */
  883. /* Copy column IMAX to column KW-1 of W and update it */
  884. if (imax > 1) {
  885. i__1 = imax - 1;
  886. zcopy_(&i__1, &a[imax * a_dim1 + 1], &c__1, &w[(kw - 1) *
  887. w_dim1 + 1], &c__1);
  888. }
  889. i__1 = imax + (kw - 1) * w_dim1;
  890. i__2 = imax + imax * a_dim1;
  891. d__1 = a[i__2].r;
  892. w[i__1].r = d__1, w[i__1].i = 0.;
  893. i__1 = k - imax;
  894. zcopy_(&i__1, &a[imax + (imax + 1) * a_dim1], lda, &w[imax +
  895. 1 + (kw - 1) * w_dim1], &c__1);
  896. i__1 = k - imax;
  897. zlacgv_(&i__1, &w[imax + 1 + (kw - 1) * w_dim1], &c__1);
  898. if (k < *n) {
  899. i__1 = *n - k;
  900. z__1.r = -1., z__1.i = 0.;
  901. zgemv_("No transpose", &k, &i__1, &z__1, &a[(k + 1) *
  902. a_dim1 + 1], lda, &w[imax + (kw + 1) * w_dim1],
  903. ldw, &c_b1, &w[(kw - 1) * w_dim1 + 1], &c__1);
  904. i__1 = imax + (kw - 1) * w_dim1;
  905. i__2 = imax + (kw - 1) * w_dim1;
  906. d__1 = w[i__2].r;
  907. w[i__1].r = d__1, w[i__1].i = 0.;
  908. }
  909. /* JMAX is the column-index of the largest off-diagonal */
  910. /* element in row IMAX, and ROWMAX is its absolute value. */
  911. /* Determine both ROWMAX and JMAX. */
  912. if (imax != k) {
  913. i__1 = k - imax;
  914. jmax = imax + izamax_(&i__1, &w[imax + 1 + (kw - 1) *
  915. w_dim1], &c__1);
  916. i__1 = jmax + (kw - 1) * w_dim1;
  917. rowmax = (d__1 = w[i__1].r, abs(d__1)) + (d__2 = d_imag(&
  918. w[jmax + (kw - 1) * w_dim1]), abs(d__2));
  919. } else {
  920. rowmax = 0.;
  921. }
  922. if (imax > 1) {
  923. i__1 = imax - 1;
  924. itemp = izamax_(&i__1, &w[(kw - 1) * w_dim1 + 1], &c__1);
  925. i__1 = itemp + (kw - 1) * w_dim1;
  926. dtemp = (d__1 = w[i__1].r, abs(d__1)) + (d__2 = d_imag(&w[
  927. itemp + (kw - 1) * w_dim1]), abs(d__2));
  928. if (dtemp > rowmax) {
  929. rowmax = dtemp;
  930. jmax = itemp;
  931. }
  932. }
  933. /* Case(2) */
  934. /* Equivalent to testing for */
  935. /* ABS( REAL( W( IMAX,KW-1 ) ) ).GE.ALPHA*ROWMAX */
  936. /* (used to handle NaN and Inf) */
  937. i__1 = imax + (kw - 1) * w_dim1;
  938. if (! ((d__1 = w[i__1].r, abs(d__1)) < alpha * rowmax)) {
  939. /* interchange rows and columns K and IMAX, */
  940. /* use 1-by-1 pivot block */
  941. kp = imax;
  942. /* copy column KW-1 of W to column KW of W */
  943. zcopy_(&k, &w[(kw - 1) * w_dim1 + 1], &c__1, &w[kw *
  944. w_dim1 + 1], &c__1);
  945. done = TRUE_;
  946. /* Case(3) */
  947. /* Equivalent to testing for ROWMAX.EQ.COLMAX, */
  948. /* (used to handle NaN and Inf) */
  949. } else if (p == jmax || rowmax <= colmax) {
  950. /* interchange rows and columns K-1 and IMAX, */
  951. /* use 2-by-2 pivot block */
  952. kp = imax;
  953. kstep = 2;
  954. done = TRUE_;
  955. /* Case(4) */
  956. } else {
  957. /* Pivot not found: set params and repeat */
  958. p = imax;
  959. colmax = rowmax;
  960. imax = jmax;
  961. /* Copy updated JMAXth (next IMAXth) column to Kth of W */
  962. zcopy_(&k, &w[(kw - 1) * w_dim1 + 1], &c__1, &w[kw *
  963. w_dim1 + 1], &c__1);
  964. }
  965. /* END pivot search loop body */
  966. if (! done) {
  967. goto L12;
  968. }
  969. }
  970. /* END pivot search */
  971. /* ============================================================ */
  972. /* KK is the column of A where pivoting step stopped */
  973. kk = k - kstep + 1;
  974. /* KKW is the column of W which corresponds to column KK of A */
  975. kkw = *nb + kk - *n;
  976. /* Interchange rows and columns P and K. */
  977. /* Updated column P is already stored in column KW of W. */
  978. if (kstep == 2 && p != k) {
  979. /* Copy non-updated column K to column P of submatrix A */
  980. /* at step K. No need to copy element into columns */
  981. /* K and K-1 of A for 2-by-2 pivot, since these columns */
  982. /* will be later overwritten. */
  983. i__1 = p + p * a_dim1;
  984. i__2 = k + k * a_dim1;
  985. d__1 = a[i__2].r;
  986. a[i__1].r = d__1, a[i__1].i = 0.;
  987. i__1 = k - 1 - p;
  988. zcopy_(&i__1, &a[p + 1 + k * a_dim1], &c__1, &a[p + (p + 1) *
  989. a_dim1], lda);
  990. i__1 = k - 1 - p;
  991. zlacgv_(&i__1, &a[p + (p + 1) * a_dim1], lda);
  992. if (p > 1) {
  993. i__1 = p - 1;
  994. zcopy_(&i__1, &a[k * a_dim1 + 1], &c__1, &a[p * a_dim1 +
  995. 1], &c__1);
  996. }
  997. /* Interchange rows K and P in the last K+1 to N columns of A */
  998. /* (columns K and K-1 of A for 2-by-2 pivot will be */
  999. /* later overwritten). Interchange rows K and P */
  1000. /* in last KKW to NB columns of W. */
  1001. if (k < *n) {
  1002. i__1 = *n - k;
  1003. zswap_(&i__1, &a[k + (k + 1) * a_dim1], lda, &a[p + (k +
  1004. 1) * a_dim1], lda);
  1005. }
  1006. i__1 = *n - kk + 1;
  1007. zswap_(&i__1, &w[k + kkw * w_dim1], ldw, &w[p + kkw * w_dim1],
  1008. ldw);
  1009. }
  1010. /* Interchange rows and columns KP and KK. */
  1011. /* Updated column KP is already stored in column KKW of W. */
  1012. if (kp != kk) {
  1013. /* Copy non-updated column KK to column KP of submatrix A */
  1014. /* at step K. No need to copy element into column K */
  1015. /* (or K and K-1 for 2-by-2 pivot) of A, since these columns */
  1016. /* will be later overwritten. */
  1017. i__1 = kp + kp * a_dim1;
  1018. i__2 = kk + kk * a_dim1;
  1019. d__1 = a[i__2].r;
  1020. a[i__1].r = d__1, a[i__1].i = 0.;
  1021. i__1 = kk - 1 - kp;
  1022. zcopy_(&i__1, &a[kp + 1 + kk * a_dim1], &c__1, &a[kp + (kp +
  1023. 1) * a_dim1], lda);
  1024. i__1 = kk - 1 - kp;
  1025. zlacgv_(&i__1, &a[kp + (kp + 1) * a_dim1], lda);
  1026. if (kp > 1) {
  1027. i__1 = kp - 1;
  1028. zcopy_(&i__1, &a[kk * a_dim1 + 1], &c__1, &a[kp * a_dim1
  1029. + 1], &c__1);
  1030. }
  1031. /* Interchange rows KK and KP in last K+1 to N columns of A */
  1032. /* (columns K (or K and K-1 for 2-by-2 pivot) of A will be */
  1033. /* later overwritten). Interchange rows KK and KP */
  1034. /* in last KKW to NB columns of W. */
  1035. if (k < *n) {
  1036. i__1 = *n - k;
  1037. zswap_(&i__1, &a[kk + (k + 1) * a_dim1], lda, &a[kp + (k
  1038. + 1) * a_dim1], lda);
  1039. }
  1040. i__1 = *n - kk + 1;
  1041. zswap_(&i__1, &w[kk + kkw * w_dim1], ldw, &w[kp + kkw *
  1042. w_dim1], ldw);
  1043. }
  1044. if (kstep == 1) {
  1045. /* 1-by-1 pivot block D(k): column kw of W now holds */
  1046. /* W(kw) = U(k)*D(k), */
  1047. /* where U(k) is the k-th column of U */
  1048. /* (1) Store subdiag. elements of column U(k) */
  1049. /* and 1-by-1 block D(k) in column k of A. */
  1050. /* (NOTE: Diagonal element U(k,k) is a UNIT element */
  1051. /* and not stored) */
  1052. /* A(k,k) := D(k,k) = W(k,kw) */
  1053. /* A(1:k-1,k) := U(1:k-1,k) = W(1:k-1,kw)/D(k,k) */
  1054. /* (NOTE: No need to use for Hermitian matrix */
  1055. /* A( K, K ) = REAL( W( K, K) ) to separately copy diagonal */
  1056. /* element D(k,k) from W (potentially saves only one load)) */
  1057. zcopy_(&k, &w[kw * w_dim1 + 1], &c__1, &a[k * a_dim1 + 1], &
  1058. c__1);
  1059. if (k > 1) {
  1060. /* (NOTE: No need to check if A(k,k) is NOT ZERO, */
  1061. /* since that was ensured earlier in pivot search: */
  1062. /* case A(k,k) = 0 falls into 2x2 pivot case(3)) */
  1063. /* Handle division by a small number */
  1064. i__1 = k + k * a_dim1;
  1065. t = a[i__1].r;
  1066. if (abs(t) >= sfmin) {
  1067. r1 = 1. / t;
  1068. i__1 = k - 1;
  1069. zdscal_(&i__1, &r1, &a[k * a_dim1 + 1], &c__1);
  1070. } else {
  1071. i__1 = k - 1;
  1072. for (ii = 1; ii <= i__1; ++ii) {
  1073. i__2 = ii + k * a_dim1;
  1074. i__3 = ii + k * a_dim1;
  1075. z__1.r = a[i__3].r / t, z__1.i = a[i__3].i / t;
  1076. a[i__2].r = z__1.r, a[i__2].i = z__1.i;
  1077. /* L14: */
  1078. }
  1079. }
  1080. /* (2) Conjugate column W(kw) */
  1081. i__1 = k - 1;
  1082. zlacgv_(&i__1, &w[kw * w_dim1 + 1], &c__1);
  1083. /* Store the superdiagonal element of D in array E */
  1084. i__1 = k;
  1085. e[i__1].r = 0., e[i__1].i = 0.;
  1086. }
  1087. } else {
  1088. /* 2-by-2 pivot block D(k): columns kw and kw-1 of W now hold */
  1089. /* ( W(kw-1) W(kw) ) = ( U(k-1) U(k) )*D(k) */
  1090. /* where U(k) and U(k-1) are the k-th and (k-1)-th columns */
  1091. /* of U */
  1092. /* (1) Store U(1:k-2,k-1) and U(1:k-2,k) and 2-by-2 */
  1093. /* block D(k-1:k,k-1:k) in columns k-1 and k of A. */
  1094. /* (NOTE: 2-by-2 diagonal block U(k-1:k,k-1:k) is a UNIT */
  1095. /* block and not stored) */
  1096. /* A(k-1:k,k-1:k) := D(k-1:k,k-1:k) = W(k-1:k,kw-1:kw) */
  1097. /* A(1:k-2,k-1:k) := U(1:k-2,k:k-1:k) = */
  1098. /* = W(1:k-2,kw-1:kw) * ( D(k-1:k,k-1:k)**(-1) ) */
  1099. if (k > 2) {
  1100. /* Factor out the columns of the inverse of 2-by-2 pivot */
  1101. /* block D, so that each column contains 1, to reduce the */
  1102. /* number of FLOPS when we multiply panel */
  1103. /* ( W(kw-1) W(kw) ) by this inverse, i.e. by D**(-1). */
  1104. /* D**(-1) = ( d11 cj(d21) )**(-1) = */
  1105. /* ( d21 d22 ) */
  1106. /* = 1/(d11*d22-|d21|**2) * ( ( d22) (-cj(d21) ) ) = */
  1107. /* ( (-d21) ( d11 ) ) */
  1108. /* = 1/(|d21|**2) * 1/((d11/cj(d21))*(d22/d21)-1) * */
  1109. /* * ( d21*( d22/d21 ) conj(d21)*( - 1 ) ) = */
  1110. /* ( ( -1 ) ( d11/conj(d21) ) ) */
  1111. /* = 1/(|d21|**2) * 1/(D22*D11-1) * */
  1112. /* * ( d21*( D11 ) conj(d21)*( -1 ) ) = */
  1113. /* ( ( -1 ) ( D22 ) ) */
  1114. /* = (1/|d21|**2) * T * ( d21*( D11 ) conj(d21)*( -1 ) ) = */
  1115. /* ( ( -1 ) ( D22 ) ) */
  1116. /* = ( (T/conj(d21))*( D11 ) (T/d21)*( -1 ) ) = */
  1117. /* ( ( -1 ) ( D22 ) ) */
  1118. /* Handle division by a small number. (NOTE: order of */
  1119. /* operations is important) */
  1120. /* = ( T*(( D11 )/conj(D21)) T*(( -1 )/D21 ) ) */
  1121. /* ( (( -1 ) ) (( D22 ) ) ), */
  1122. /* where D11 = d22/d21, */
  1123. /* D22 = d11/conj(d21), */
  1124. /* D21 = d21, */
  1125. /* T = 1/(D22*D11-1). */
  1126. /* (NOTE: No need to check for division by ZERO, */
  1127. /* since that was ensured earlier in pivot search: */
  1128. /* (a) d21 != 0 in 2x2 pivot case(4), */
  1129. /* since |d21| should be larger than |d11| and |d22|; */
  1130. /* (b) (D22*D11 - 1) != 0, since from (a), */
  1131. /* both |D11| < 1, |D22| < 1, hence |D22*D11| << 1.) */
  1132. i__1 = k - 1 + kw * w_dim1;
  1133. d21.r = w[i__1].r, d21.i = w[i__1].i;
  1134. d_cnjg(&z__2, &d21);
  1135. z_div(&z__1, &w[k + kw * w_dim1], &z__2);
  1136. d11.r = z__1.r, d11.i = z__1.i;
  1137. z_div(&z__1, &w[k - 1 + (kw - 1) * w_dim1], &d21);
  1138. d22.r = z__1.r, d22.i = z__1.i;
  1139. z__1.r = d11.r * d22.r - d11.i * d22.i, z__1.i = d11.r *
  1140. d22.i + d11.i * d22.r;
  1141. t = 1. / (z__1.r - 1.);
  1142. /* Update elements in columns A(k-1) and A(k) as */
  1143. /* dot products of rows of ( W(kw-1) W(kw) ) and columns */
  1144. /* of D**(-1) */
  1145. i__1 = k - 2;
  1146. for (j = 1; j <= i__1; ++j) {
  1147. i__2 = j + (k - 1) * a_dim1;
  1148. i__3 = j + (kw - 1) * w_dim1;
  1149. z__4.r = d11.r * w[i__3].r - d11.i * w[i__3].i,
  1150. z__4.i = d11.r * w[i__3].i + d11.i * w[i__3]
  1151. .r;
  1152. i__4 = j + kw * w_dim1;
  1153. z__3.r = z__4.r - w[i__4].r, z__3.i = z__4.i - w[i__4]
  1154. .i;
  1155. z_div(&z__2, &z__3, &d21);
  1156. z__1.r = t * z__2.r, z__1.i = t * z__2.i;
  1157. a[i__2].r = z__1.r, a[i__2].i = z__1.i;
  1158. i__2 = j + k * a_dim1;
  1159. i__3 = j + kw * w_dim1;
  1160. z__4.r = d22.r * w[i__3].r - d22.i * w[i__3].i,
  1161. z__4.i = d22.r * w[i__3].i + d22.i * w[i__3]
  1162. .r;
  1163. i__4 = j + (kw - 1) * w_dim1;
  1164. z__3.r = z__4.r - w[i__4].r, z__3.i = z__4.i - w[i__4]
  1165. .i;
  1166. d_cnjg(&z__5, &d21);
  1167. z_div(&z__2, &z__3, &z__5);
  1168. z__1.r = t * z__2.r, z__1.i = t * z__2.i;
  1169. a[i__2].r = z__1.r, a[i__2].i = z__1.i;
  1170. /* L20: */
  1171. }
  1172. }
  1173. /* Copy diagonal elements of D(K) to A, */
  1174. /* copy superdiagonal element of D(K) to E(K) and */
  1175. /* ZERO out superdiagonal entry of A */
  1176. i__1 = k - 1 + (k - 1) * a_dim1;
  1177. i__2 = k - 1 + (kw - 1) * w_dim1;
  1178. a[i__1].r = w[i__2].r, a[i__1].i = w[i__2].i;
  1179. i__1 = k - 1 + k * a_dim1;
  1180. a[i__1].r = 0., a[i__1].i = 0.;
  1181. i__1 = k + k * a_dim1;
  1182. i__2 = k + kw * w_dim1;
  1183. a[i__1].r = w[i__2].r, a[i__1].i = w[i__2].i;
  1184. i__1 = k;
  1185. i__2 = k - 1 + kw * w_dim1;
  1186. e[i__1].r = w[i__2].r, e[i__1].i = w[i__2].i;
  1187. i__1 = k - 1;
  1188. e[i__1].r = 0., e[i__1].i = 0.;
  1189. /* (2) Conjugate columns W(kw) and W(kw-1) */
  1190. i__1 = k - 1;
  1191. zlacgv_(&i__1, &w[kw * w_dim1 + 1], &c__1);
  1192. i__1 = k - 2;
  1193. zlacgv_(&i__1, &w[(kw - 1) * w_dim1 + 1], &c__1);
  1194. }
  1195. /* End column K is nonsingular */
  1196. }
  1197. /* Store details of the interchanges in IPIV */
  1198. if (kstep == 1) {
  1199. ipiv[k] = kp;
  1200. } else {
  1201. ipiv[k] = -p;
  1202. ipiv[k - 1] = -kp;
  1203. }
  1204. /* Decrease K and return to the start of the main loop */
  1205. k -= kstep;
  1206. goto L10;
  1207. L30:
  1208. /* Update the upper triangle of A11 (= A(1:k,1:k)) as */
  1209. /* A11 := A11 - U12*D*U12**H = A11 - U12*W**H */
  1210. /* computing blocks of NB columns at a time (note that conjg(W) is */
  1211. /* actually stored) */
  1212. i__1 = -(*nb);
  1213. for (j = (k - 1) / *nb * *nb + 1; i__1 < 0 ? j >= 1 : j <= 1; j +=
  1214. i__1) {
  1215. /* Computing MIN */
  1216. i__2 = *nb, i__3 = k - j + 1;
  1217. jb = f2cmin(i__2,i__3);
  1218. /* Update the upper triangle of the diagonal block */
  1219. i__2 = j + jb - 1;
  1220. for (jj = j; jj <= i__2; ++jj) {
  1221. i__3 = jj + jj * a_dim1;
  1222. i__4 = jj + jj * a_dim1;
  1223. d__1 = a[i__4].r;
  1224. a[i__3].r = d__1, a[i__3].i = 0.;
  1225. i__3 = jj - j + 1;
  1226. i__4 = *n - k;
  1227. z__1.r = -1., z__1.i = 0.;
  1228. zgemv_("No transpose", &i__3, &i__4, &z__1, &a[j + (k + 1) *
  1229. a_dim1], lda, &w[jj + (kw + 1) * w_dim1], ldw, &c_b1,
  1230. &a[j + jj * a_dim1], &c__1);
  1231. i__3 = jj + jj * a_dim1;
  1232. i__4 = jj + jj * a_dim1;
  1233. d__1 = a[i__4].r;
  1234. a[i__3].r = d__1, a[i__3].i = 0.;
  1235. /* L40: */
  1236. }
  1237. /* Update the rectangular superdiagonal block */
  1238. if (j >= 2) {
  1239. i__2 = j - 1;
  1240. i__3 = *n - k;
  1241. z__1.r = -1., z__1.i = 0.;
  1242. zgemm_("No transpose", "Transpose", &i__2, &jb, &i__3, &z__1,
  1243. &a[(k + 1) * a_dim1 + 1], lda, &w[j + (kw + 1) *
  1244. w_dim1], ldw, &c_b1, &a[j * a_dim1 + 1], lda);
  1245. }
  1246. /* L50: */
  1247. }
  1248. /* Set KB to the number of columns factorized */
  1249. *kb = *n - k;
  1250. } else {
  1251. /* Factorize the leading columns of A using the lower triangle */
  1252. /* of A and working forwards, and compute the matrix W = L21*D */
  1253. /* for use in updating A22 (note that conjg(W) is actually stored) */
  1254. /* Initialize the unused last entry of the subdiagonal array E. */
  1255. i__1 = *n;
  1256. e[i__1].r = 0., e[i__1].i = 0.;
  1257. /* K is the main loop index, increasing from 1 in steps of 1 or 2 */
  1258. k = 1;
  1259. L70:
  1260. /* Exit from loop */
  1261. if (k >= *nb && *nb < *n || k > *n) {
  1262. goto L90;
  1263. }
  1264. kstep = 1;
  1265. p = k;
  1266. /* Copy column K of A to column K of W and update column K of W */
  1267. i__1 = k + k * w_dim1;
  1268. i__2 = k + k * a_dim1;
  1269. d__1 = a[i__2].r;
  1270. w[i__1].r = d__1, w[i__1].i = 0.;
  1271. if (k < *n) {
  1272. i__1 = *n - k;
  1273. zcopy_(&i__1, &a[k + 1 + k * a_dim1], &c__1, &w[k + 1 + k *
  1274. w_dim1], &c__1);
  1275. }
  1276. if (k > 1) {
  1277. i__1 = *n - k + 1;
  1278. i__2 = k - 1;
  1279. z__1.r = -1., z__1.i = 0.;
  1280. zgemv_("No transpose", &i__1, &i__2, &z__1, &a[k + a_dim1], lda, &
  1281. w[k + w_dim1], ldw, &c_b1, &w[k + k * w_dim1], &c__1);
  1282. i__1 = k + k * w_dim1;
  1283. i__2 = k + k * w_dim1;
  1284. d__1 = w[i__2].r;
  1285. w[i__1].r = d__1, w[i__1].i = 0.;
  1286. }
  1287. /* Determine rows and columns to be interchanged and whether */
  1288. /* a 1-by-1 or 2-by-2 pivot block will be used */
  1289. i__1 = k + k * w_dim1;
  1290. absakk = (d__1 = w[i__1].r, abs(d__1));
  1291. /* IMAX is the row-index of the largest off-diagonal element in */
  1292. /* column K, and COLMAX is its absolute value. */
  1293. /* Determine both COLMAX and IMAX. */
  1294. if (k < *n) {
  1295. i__1 = *n - k;
  1296. imax = k + izamax_(&i__1, &w[k + 1 + k * w_dim1], &c__1);
  1297. i__1 = imax + k * w_dim1;
  1298. colmax = (d__1 = w[i__1].r, abs(d__1)) + (d__2 = d_imag(&w[imax +
  1299. k * w_dim1]), abs(d__2));
  1300. } else {
  1301. colmax = 0.;
  1302. }
  1303. if (f2cmax(absakk,colmax) == 0.) {
  1304. /* Column K is zero or underflow: set INFO and continue */
  1305. if (*info == 0) {
  1306. *info = k;
  1307. }
  1308. kp = k;
  1309. i__1 = k + k * a_dim1;
  1310. i__2 = k + k * w_dim1;
  1311. d__1 = w[i__2].r;
  1312. a[i__1].r = d__1, a[i__1].i = 0.;
  1313. if (k < *n) {
  1314. i__1 = *n - k;
  1315. zcopy_(&i__1, &w[k + 1 + k * w_dim1], &c__1, &a[k + 1 + k *
  1316. a_dim1], &c__1);
  1317. }
  1318. /* Set E( K ) to zero */
  1319. if (k < *n) {
  1320. i__1 = k;
  1321. e[i__1].r = 0., e[i__1].i = 0.;
  1322. }
  1323. } else {
  1324. /* ============================================================ */
  1325. /* BEGIN pivot search */
  1326. /* Case(1) */
  1327. /* Equivalent to testing for ABSAKK.GE.ALPHA*COLMAX */
  1328. /* (used to handle NaN and Inf) */
  1329. if (! (absakk < alpha * colmax)) {
  1330. /* no interchange, use 1-by-1 pivot block */
  1331. kp = k;
  1332. } else {
  1333. done = FALSE_;
  1334. /* Loop until pivot found */
  1335. L72:
  1336. /* BEGIN pivot search loop body */
  1337. /* Copy column IMAX to column k+1 of W and update it */
  1338. i__1 = imax - k;
  1339. zcopy_(&i__1, &a[imax + k * a_dim1], lda, &w[k + (k + 1) *
  1340. w_dim1], &c__1);
  1341. i__1 = imax - k;
  1342. zlacgv_(&i__1, &w[k + (k + 1) * w_dim1], &c__1);
  1343. i__1 = imax + (k + 1) * w_dim1;
  1344. i__2 = imax + imax * a_dim1;
  1345. d__1 = a[i__2].r;
  1346. w[i__1].r = d__1, w[i__1].i = 0.;
  1347. if (imax < *n) {
  1348. i__1 = *n - imax;
  1349. zcopy_(&i__1, &a[imax + 1 + imax * a_dim1], &c__1, &w[
  1350. imax + 1 + (k + 1) * w_dim1], &c__1);
  1351. }
  1352. if (k > 1) {
  1353. i__1 = *n - k + 1;
  1354. i__2 = k - 1;
  1355. z__1.r = -1., z__1.i = 0.;
  1356. zgemv_("No transpose", &i__1, &i__2, &z__1, &a[k + a_dim1]
  1357. , lda, &w[imax + w_dim1], ldw, &c_b1, &w[k + (k +
  1358. 1) * w_dim1], &c__1);
  1359. i__1 = imax + (k + 1) * w_dim1;
  1360. i__2 = imax + (k + 1) * w_dim1;
  1361. d__1 = w[i__2].r;
  1362. w[i__1].r = d__1, w[i__1].i = 0.;
  1363. }
  1364. /* JMAX is the column-index of the largest off-diagonal */
  1365. /* element in row IMAX, and ROWMAX is its absolute value. */
  1366. /* Determine both ROWMAX and JMAX. */
  1367. if (imax != k) {
  1368. i__1 = imax - k;
  1369. jmax = k - 1 + izamax_(&i__1, &w[k + (k + 1) * w_dim1], &
  1370. c__1);
  1371. i__1 = jmax + (k + 1) * w_dim1;
  1372. rowmax = (d__1 = w[i__1].r, abs(d__1)) + (d__2 = d_imag(&
  1373. w[jmax + (k + 1) * w_dim1]), abs(d__2));
  1374. } else {
  1375. rowmax = 0.;
  1376. }
  1377. if (imax < *n) {
  1378. i__1 = *n - imax;
  1379. itemp = imax + izamax_(&i__1, &w[imax + 1 + (k + 1) *
  1380. w_dim1], &c__1);
  1381. i__1 = itemp + (k + 1) * w_dim1;
  1382. dtemp = (d__1 = w[i__1].r, abs(d__1)) + (d__2 = d_imag(&w[
  1383. itemp + (k + 1) * w_dim1]), abs(d__2));
  1384. if (dtemp > rowmax) {
  1385. rowmax = dtemp;
  1386. jmax = itemp;
  1387. }
  1388. }
  1389. /* Case(2) */
  1390. /* Equivalent to testing for */
  1391. /* ABS( REAL( W( IMAX,K+1 ) ) ).GE.ALPHA*ROWMAX */
  1392. /* (used to handle NaN and Inf) */
  1393. i__1 = imax + (k + 1) * w_dim1;
  1394. if (! ((d__1 = w[i__1].r, abs(d__1)) < alpha * rowmax)) {
  1395. /* interchange rows and columns K and IMAX, */
  1396. /* use 1-by-1 pivot block */
  1397. kp = imax;
  1398. /* copy column K+1 of W to column K of W */
  1399. i__1 = *n - k + 1;
  1400. zcopy_(&i__1, &w[k + (k + 1) * w_dim1], &c__1, &w[k + k *
  1401. w_dim1], &c__1);
  1402. done = TRUE_;
  1403. /* Case(3) */
  1404. /* Equivalent to testing for ROWMAX.EQ.COLMAX, */
  1405. /* (used to handle NaN and Inf) */
  1406. } else if (p == jmax || rowmax <= colmax) {
  1407. /* interchange rows and columns K+1 and IMAX, */
  1408. /* use 2-by-2 pivot block */
  1409. kp = imax;
  1410. kstep = 2;
  1411. done = TRUE_;
  1412. /* Case(4) */
  1413. } else {
  1414. /* Pivot not found: set params and repeat */
  1415. p = imax;
  1416. colmax = rowmax;
  1417. imax = jmax;
  1418. /* Copy updated JMAXth (next IMAXth) column to Kth of W */
  1419. i__1 = *n - k + 1;
  1420. zcopy_(&i__1, &w[k + (k + 1) * w_dim1], &c__1, &w[k + k *
  1421. w_dim1], &c__1);
  1422. }
  1423. /* End pivot search loop body */
  1424. if (! done) {
  1425. goto L72;
  1426. }
  1427. }
  1428. /* END pivot search */
  1429. /* ============================================================ */
  1430. /* KK is the column of A where pivoting step stopped */
  1431. kk = k + kstep - 1;
  1432. /* Interchange rows and columns P and K (only for 2-by-2 pivot). */
  1433. /* Updated column P is already stored in column K of W. */
  1434. if (kstep == 2 && p != k) {
  1435. /* Copy non-updated column KK-1 to column P of submatrix A */
  1436. /* at step K. No need to copy element into columns */
  1437. /* K and K+1 of A for 2-by-2 pivot, since these columns */
  1438. /* will be later overwritten. */
  1439. i__1 = p + p * a_dim1;
  1440. i__2 = k + k * a_dim1;
  1441. d__1 = a[i__2].r;
  1442. a[i__1].r = d__1, a[i__1].i = 0.;
  1443. i__1 = p - k - 1;
  1444. zcopy_(&i__1, &a[k + 1 + k * a_dim1], &c__1, &a[p + (k + 1) *
  1445. a_dim1], lda);
  1446. i__1 = p - k - 1;
  1447. zlacgv_(&i__1, &a[p + (k + 1) * a_dim1], lda);
  1448. if (p < *n) {
  1449. i__1 = *n - p;
  1450. zcopy_(&i__1, &a[p + 1 + k * a_dim1], &c__1, &a[p + 1 + p
  1451. * a_dim1], &c__1);
  1452. }
  1453. /* Interchange rows K and P in first K-1 columns of A */
  1454. /* (columns K and K+1 of A for 2-by-2 pivot will be */
  1455. /* later overwritten). Interchange rows K and P */
  1456. /* in first KK columns of W. */
  1457. if (k > 1) {
  1458. i__1 = k - 1;
  1459. zswap_(&i__1, &a[k + a_dim1], lda, &a[p + a_dim1], lda);
  1460. }
  1461. zswap_(&kk, &w[k + w_dim1], ldw, &w[p + w_dim1], ldw);
  1462. }
  1463. /* Interchange rows and columns KP and KK. */
  1464. /* Updated column KP is already stored in column KK of W. */
  1465. if (kp != kk) {
  1466. /* Copy non-updated column KK to column KP of submatrix A */
  1467. /* at step K. No need to copy element into column K */
  1468. /* (or K and K+1 for 2-by-2 pivot) of A, since these columns */
  1469. /* will be later overwritten. */
  1470. i__1 = kp + kp * a_dim1;
  1471. i__2 = kk + kk * a_dim1;
  1472. d__1 = a[i__2].r;
  1473. a[i__1].r = d__1, a[i__1].i = 0.;
  1474. i__1 = kp - kk - 1;
  1475. zcopy_(&i__1, &a[kk + 1 + kk * a_dim1], &c__1, &a[kp + (kk +
  1476. 1) * a_dim1], lda);
  1477. i__1 = kp - kk - 1;
  1478. zlacgv_(&i__1, &a[kp + (kk + 1) * a_dim1], lda);
  1479. if (kp < *n) {
  1480. i__1 = *n - kp;
  1481. zcopy_(&i__1, &a[kp + 1 + kk * a_dim1], &c__1, &a[kp + 1
  1482. + kp * a_dim1], &c__1);
  1483. }
  1484. /* Interchange rows KK and KP in first K-1 columns of A */
  1485. /* (column K (or K and K+1 for 2-by-2 pivot) of A will be */
  1486. /* later overwritten). Interchange rows KK and KP */
  1487. /* in first KK columns of W. */
  1488. if (k > 1) {
  1489. i__1 = k - 1;
  1490. zswap_(&i__1, &a[kk + a_dim1], lda, &a[kp + a_dim1], lda);
  1491. }
  1492. zswap_(&kk, &w[kk + w_dim1], ldw, &w[kp + w_dim1], ldw);
  1493. }
  1494. if (kstep == 1) {
  1495. /* 1-by-1 pivot block D(k): column k of W now holds */
  1496. /* W(k) = L(k)*D(k), */
  1497. /* where L(k) is the k-th column of L */
  1498. /* (1) Store subdiag. elements of column L(k) */
  1499. /* and 1-by-1 block D(k) in column k of A. */
  1500. /* (NOTE: Diagonal element L(k,k) is a UNIT element */
  1501. /* and not stored) */
  1502. /* A(k,k) := D(k,k) = W(k,k) */
  1503. /* A(k+1:N,k) := L(k+1:N,k) = W(k+1:N,k)/D(k,k) */
  1504. /* (NOTE: No need to use for Hermitian matrix */
  1505. /* A( K, K ) = REAL( W( K, K) ) to separately copy diagonal */
  1506. /* element D(k,k) from W (potentially saves only one load)) */
  1507. i__1 = *n - k + 1;
  1508. zcopy_(&i__1, &w[k + k * w_dim1], &c__1, &a[k + k * a_dim1], &
  1509. c__1);
  1510. if (k < *n) {
  1511. /* (NOTE: No need to check if A(k,k) is NOT ZERO, */
  1512. /* since that was ensured earlier in pivot search: */
  1513. /* case A(k,k) = 0 falls into 2x2 pivot case(3)) */
  1514. /* Handle division by a small number */
  1515. i__1 = k + k * a_dim1;
  1516. t = a[i__1].r;
  1517. if (abs(t) >= sfmin) {
  1518. r1 = 1. / t;
  1519. i__1 = *n - k;
  1520. zdscal_(&i__1, &r1, &a[k + 1 + k * a_dim1], &c__1);
  1521. } else {
  1522. i__1 = *n;
  1523. for (ii = k + 1; ii <= i__1; ++ii) {
  1524. i__2 = ii + k * a_dim1;
  1525. i__3 = ii + k * a_dim1;
  1526. z__1.r = a[i__3].r / t, z__1.i = a[i__3].i / t;
  1527. a[i__2].r = z__1.r, a[i__2].i = z__1.i;
  1528. /* L74: */
  1529. }
  1530. }
  1531. /* (2) Conjugate column W(k) */
  1532. i__1 = *n - k;
  1533. zlacgv_(&i__1, &w[k + 1 + k * w_dim1], &c__1);
  1534. /* Store the subdiagonal element of D in array E */
  1535. i__1 = k;
  1536. e[i__1].r = 0., e[i__1].i = 0.;
  1537. }
  1538. } else {
  1539. /* 2-by-2 pivot block D(k): columns k and k+1 of W now hold */
  1540. /* ( W(k) W(k+1) ) = ( L(k) L(k+1) )*D(k) */
  1541. /* where L(k) and L(k+1) are the k-th and (k+1)-th columns */
  1542. /* of L */
  1543. /* (1) Store L(k+2:N,k) and L(k+2:N,k+1) and 2-by-2 */
  1544. /* block D(k:k+1,k:k+1) in columns k and k+1 of A. */
  1545. /* NOTE: 2-by-2 diagonal block L(k:k+1,k:k+1) is a UNIT */
  1546. /* block and not stored. */
  1547. /* A(k:k+1,k:k+1) := D(k:k+1,k:k+1) = W(k:k+1,k:k+1) */
  1548. /* A(k+2:N,k:k+1) := L(k+2:N,k:k+1) = */
  1549. /* = W(k+2:N,k:k+1) * ( D(k:k+1,k:k+1)**(-1) ) */
  1550. if (k < *n - 1) {
  1551. /* Factor out the columns of the inverse of 2-by-2 pivot */
  1552. /* block D, so that each column contains 1, to reduce the */
  1553. /* number of FLOPS when we multiply panel */
  1554. /* ( W(kw-1) W(kw) ) by this inverse, i.e. by D**(-1). */
  1555. /* D**(-1) = ( d11 cj(d21) )**(-1) = */
  1556. /* ( d21 d22 ) */
  1557. /* = 1/(d11*d22-|d21|**2) * ( ( d22) (-cj(d21) ) ) = */
  1558. /* ( (-d21) ( d11 ) ) */
  1559. /* = 1/(|d21|**2) * 1/((d11/cj(d21))*(d22/d21)-1) * */
  1560. /* * ( d21*( d22/d21 ) conj(d21)*( - 1 ) ) = */
  1561. /* ( ( -1 ) ( d11/conj(d21) ) ) */
  1562. /* = 1/(|d21|**2) * 1/(D22*D11-1) * */
  1563. /* * ( d21*( D11 ) conj(d21)*( -1 ) ) = */
  1564. /* ( ( -1 ) ( D22 ) ) */
  1565. /* = (1/|d21|**2) * T * ( d21*( D11 ) conj(d21)*( -1 ) ) = */
  1566. /* ( ( -1 ) ( D22 ) ) */
  1567. /* = ( (T/conj(d21))*( D11 ) (T/d21)*( -1 ) ) = */
  1568. /* ( ( -1 ) ( D22 ) ) */
  1569. /* Handle division by a small number. (NOTE: order of */
  1570. /* operations is important) */
  1571. /* = ( T*(( D11 )/conj(D21)) T*(( -1 )/D21 ) ) */
  1572. /* ( (( -1 ) ) (( D22 ) ) ), */
  1573. /* where D11 = d22/d21, */
  1574. /* D22 = d11/conj(d21), */
  1575. /* D21 = d21, */
  1576. /* T = 1/(D22*D11-1). */
  1577. /* (NOTE: No need to check for division by ZERO, */
  1578. /* since that was ensured earlier in pivot search: */
  1579. /* (a) d21 != 0 in 2x2 pivot case(4), */
  1580. /* since |d21| should be larger than |d11| and |d22|; */
  1581. /* (b) (D22*D11 - 1) != 0, since from (a), */
  1582. /* both |D11| < 1, |D22| < 1, hence |D22*D11| << 1.) */
  1583. i__1 = k + 1 + k * w_dim1;
  1584. d21.r = w[i__1].r, d21.i = w[i__1].i;
  1585. z_div(&z__1, &w[k + 1 + (k + 1) * w_dim1], &d21);
  1586. d11.r = z__1.r, d11.i = z__1.i;
  1587. d_cnjg(&z__2, &d21);
  1588. z_div(&z__1, &w[k + k * w_dim1], &z__2);
  1589. d22.r = z__1.r, d22.i = z__1.i;
  1590. z__1.r = d11.r * d22.r - d11.i * d22.i, z__1.i = d11.r *
  1591. d22.i + d11.i * d22.r;
  1592. t = 1. / (z__1.r - 1.);
  1593. /* Update elements in columns A(k) and A(k+1) as */
  1594. /* dot products of rows of ( W(k) W(k+1) ) and columns */
  1595. /* of D**(-1) */
  1596. i__1 = *n;
  1597. for (j = k + 2; j <= i__1; ++j) {
  1598. i__2 = j + k * a_dim1;
  1599. i__3 = j + k * w_dim1;
  1600. z__4.r = d11.r * w[i__3].r - d11.i * w[i__3].i,
  1601. z__4.i = d11.r * w[i__3].i + d11.i * w[i__3]
  1602. .r;
  1603. i__4 = j + (k + 1) * w_dim1;
  1604. z__3.r = z__4.r - w[i__4].r, z__3.i = z__4.i - w[i__4]
  1605. .i;
  1606. d_cnjg(&z__5, &d21);
  1607. z_div(&z__2, &z__3, &z__5);
  1608. z__1.r = t * z__2.r, z__1.i = t * z__2.i;
  1609. a[i__2].r = z__1.r, a[i__2].i = z__1.i;
  1610. i__2 = j + (k + 1) * a_dim1;
  1611. i__3 = j + (k + 1) * w_dim1;
  1612. z__4.r = d22.r * w[i__3].r - d22.i * w[i__3].i,
  1613. z__4.i = d22.r * w[i__3].i + d22.i * w[i__3]
  1614. .r;
  1615. i__4 = j + k * w_dim1;
  1616. z__3.r = z__4.r - w[i__4].r, z__3.i = z__4.i - w[i__4]
  1617. .i;
  1618. z_div(&z__2, &z__3, &d21);
  1619. z__1.r = t * z__2.r, z__1.i = t * z__2.i;
  1620. a[i__2].r = z__1.r, a[i__2].i = z__1.i;
  1621. /* L80: */
  1622. }
  1623. }
  1624. /* Copy diagonal elements of D(K) to A, */
  1625. /* copy subdiagonal element of D(K) to E(K) and */
  1626. /* ZERO out subdiagonal entry of A */
  1627. i__1 = k + k * a_dim1;
  1628. i__2 = k + k * w_dim1;
  1629. a[i__1].r = w[i__2].r, a[i__1].i = w[i__2].i;
  1630. i__1 = k + 1 + k * a_dim1;
  1631. a[i__1].r = 0., a[i__1].i = 0.;
  1632. i__1 = k + 1 + (k + 1) * a_dim1;
  1633. i__2 = k + 1 + (k + 1) * w_dim1;
  1634. a[i__1].r = w[i__2].r, a[i__1].i = w[i__2].i;
  1635. i__1 = k;
  1636. i__2 = k + 1 + k * w_dim1;
  1637. e[i__1].r = w[i__2].r, e[i__1].i = w[i__2].i;
  1638. i__1 = k + 1;
  1639. e[i__1].r = 0., e[i__1].i = 0.;
  1640. /* (2) Conjugate columns W(k) and W(k+1) */
  1641. i__1 = *n - k;
  1642. zlacgv_(&i__1, &w[k + 1 + k * w_dim1], &c__1);
  1643. i__1 = *n - k - 1;
  1644. zlacgv_(&i__1, &w[k + 2 + (k + 1) * w_dim1], &c__1);
  1645. }
  1646. /* End column K is nonsingular */
  1647. }
  1648. /* Store details of the interchanges in IPIV */
  1649. if (kstep == 1) {
  1650. ipiv[k] = kp;
  1651. } else {
  1652. ipiv[k] = -p;
  1653. ipiv[k + 1] = -kp;
  1654. }
  1655. /* Increase K and return to the start of the main loop */
  1656. k += kstep;
  1657. goto L70;
  1658. L90:
  1659. /* Update the lower triangle of A22 (= A(k:n,k:n)) as */
  1660. /* A22 := A22 - L21*D*L21**H = A22 - L21*W**H */
  1661. /* computing blocks of NB columns at a time (note that conjg(W) is */
  1662. /* actually stored) */
  1663. i__1 = *n;
  1664. i__2 = *nb;
  1665. for (j = k; i__2 < 0 ? j >= i__1 : j <= i__1; j += i__2) {
  1666. /* Computing MIN */
  1667. i__3 = *nb, i__4 = *n - j + 1;
  1668. jb = f2cmin(i__3,i__4);
  1669. /* Update the lower triangle of the diagonal block */
  1670. i__3 = j + jb - 1;
  1671. for (jj = j; jj <= i__3; ++jj) {
  1672. i__4 = jj + jj * a_dim1;
  1673. i__5 = jj + jj * a_dim1;
  1674. d__1 = a[i__5].r;
  1675. a[i__4].r = d__1, a[i__4].i = 0.;
  1676. i__4 = j + jb - jj;
  1677. i__5 = k - 1;
  1678. z__1.r = -1., z__1.i = 0.;
  1679. zgemv_("No transpose", &i__4, &i__5, &z__1, &a[jj + a_dim1],
  1680. lda, &w[jj + w_dim1], ldw, &c_b1, &a[jj + jj * a_dim1]
  1681. , &c__1);
  1682. i__4 = jj + jj * a_dim1;
  1683. i__5 = jj + jj * a_dim1;
  1684. d__1 = a[i__5].r;
  1685. a[i__4].r = d__1, a[i__4].i = 0.;
  1686. /* L100: */
  1687. }
  1688. /* Update the rectangular subdiagonal block */
  1689. if (j + jb <= *n) {
  1690. i__3 = *n - j - jb + 1;
  1691. i__4 = k - 1;
  1692. z__1.r = -1., z__1.i = 0.;
  1693. zgemm_("No transpose", "Transpose", &i__3, &jb, &i__4, &z__1,
  1694. &a[j + jb + a_dim1], lda, &w[j + w_dim1], ldw, &c_b1,
  1695. &a[j + jb + j * a_dim1], lda);
  1696. }
  1697. /* L110: */
  1698. }
  1699. /* Set KB to the number of columns factorized */
  1700. *kb = k - 1;
  1701. }
  1702. return;
  1703. /* End of ZLAHEF_RK */
  1704. } /* zlahef_rk__ */