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clahef_rook.c 59 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 blasint logical;
  52. typedef char logical1;
  53. typedef char integer1;
  54. #define TRUE_ (1)
  55. #define FALSE_ (0)
  56. /* Extern is for use with -E */
  57. #ifndef Extern
  58. #define Extern extern
  59. #endif
  60. /* I/O stuff */
  61. typedef int flag;
  62. typedef int ftnlen;
  63. typedef int ftnint;
  64. /*external read, write*/
  65. typedef struct
  66. { flag cierr;
  67. ftnint ciunit;
  68. flag ciend;
  69. char *cifmt;
  70. ftnint cirec;
  71. } cilist;
  72. /*internal read, write*/
  73. typedef struct
  74. { flag icierr;
  75. char *iciunit;
  76. flag iciend;
  77. char *icifmt;
  78. ftnint icirlen;
  79. ftnint icirnum;
  80. } icilist;
  81. /*open*/
  82. typedef struct
  83. { flag oerr;
  84. ftnint ounit;
  85. char *ofnm;
  86. ftnlen ofnmlen;
  87. char *osta;
  88. char *oacc;
  89. char *ofm;
  90. ftnint orl;
  91. char *oblnk;
  92. } olist;
  93. /*close*/
  94. typedef struct
  95. { flag cerr;
  96. ftnint cunit;
  97. char *csta;
  98. } cllist;
  99. /*rewind, backspace, endfile*/
  100. typedef struct
  101. { flag aerr;
  102. ftnint aunit;
  103. } alist;
  104. /* inquire */
  105. typedef struct
  106. { flag inerr;
  107. ftnint inunit;
  108. char *infile;
  109. ftnlen infilen;
  110. ftnint *inex; /*parameters in standard's order*/
  111. ftnint *inopen;
  112. ftnint *innum;
  113. ftnint *innamed;
  114. char *inname;
  115. ftnlen innamlen;
  116. char *inacc;
  117. ftnlen inacclen;
  118. char *inseq;
  119. ftnlen inseqlen;
  120. char *indir;
  121. ftnlen indirlen;
  122. char *infmt;
  123. ftnlen infmtlen;
  124. char *inform;
  125. ftnint informlen;
  126. char *inunf;
  127. ftnlen inunflen;
  128. ftnint *inrecl;
  129. ftnint *innrec;
  130. char *inblank;
  131. ftnlen inblanklen;
  132. } inlist;
  133. #define VOID void
  134. union Multitype { /* for multiple entry points */
  135. integer1 g;
  136. shortint h;
  137. integer i;
  138. /* longint j; */
  139. real r;
  140. doublereal d;
  141. complex c;
  142. doublecomplex z;
  143. };
  144. typedef union Multitype Multitype;
  145. struct Vardesc { /* for Namelist */
  146. char *name;
  147. char *addr;
  148. ftnlen *dims;
  149. int type;
  150. };
  151. typedef struct Vardesc Vardesc;
  152. struct Namelist {
  153. char *name;
  154. Vardesc **vars;
  155. int nvars;
  156. };
  157. typedef struct Namelist Namelist;
  158. #define abs(x) ((x) >= 0 ? (x) : -(x))
  159. #define dabs(x) (fabs(x))
  160. #define f2cmin(a,b) ((a) <= (b) ? (a) : (b))
  161. #define f2cmax(a,b) ((a) >= (b) ? (a) : (b))
  162. #define dmin(a,b) (f2cmin(a,b))
  163. #define dmax(a,b) (f2cmax(a,b))
  164. #define bit_test(a,b) ((a) >> (b) & 1)
  165. #define bit_clear(a,b) ((a) & ~((uinteger)1 << (b)))
  166. #define bit_set(a,b) ((a) | ((uinteger)1 << (b)))
  167. #define abort_() { sig_die("Fortran abort routine called", 1); }
  168. #define c_abs(z) (cabsf(Cf(z)))
  169. #define c_cos(R,Z) { pCf(R)=ccos(Cf(Z)); }
  170. #ifdef _MSC_VER
  171. #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]);}
  172. #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]);}
  173. #else
  174. #define c_div(c, a, b) {pCf(c) = Cf(a)/Cf(b);}
  175. #define z_div(c, a, b) {pCd(c) = Cd(a)/Cd(b);}
  176. #endif
  177. #define c_exp(R, Z) {pCf(R) = cexpf(Cf(Z));}
  178. #define c_log(R, Z) {pCf(R) = clogf(Cf(Z));}
  179. #define c_sin(R, Z) {pCf(R) = csinf(Cf(Z));}
  180. //#define c_sqrt(R, Z) {*(R) = csqrtf(Cf(Z));}
  181. #define c_sqrt(R, Z) {pCf(R) = csqrtf(Cf(Z));}
  182. #define d_abs(x) (fabs(*(x)))
  183. #define d_acos(x) (acos(*(x)))
  184. #define d_asin(x) (asin(*(x)))
  185. #define d_atan(x) (atan(*(x)))
  186. #define d_atn2(x, y) (atan2(*(x),*(y)))
  187. #define d_cnjg(R, Z) { pCd(R) = conj(Cd(Z)); }
  188. #define r_cnjg(R, Z) { pCf(R) = conjf(Cf(Z)); }
  189. #define d_cos(x) (cos(*(x)))
  190. #define d_cosh(x) (cosh(*(x)))
  191. #define d_dim(__a, __b) ( *(__a) > *(__b) ? *(__a) - *(__b) : 0.0 )
  192. #define d_exp(x) (exp(*(x)))
  193. #define d_imag(z) (cimag(Cd(z)))
  194. #define r_imag(z) (cimagf(Cf(z)))
  195. #define d_int(__x) (*(__x)>0 ? floor(*(__x)) : -floor(- *(__x)))
  196. #define r_int(__x) (*(__x)>0 ? floor(*(__x)) : -floor(- *(__x)))
  197. #define d_lg10(x) ( 0.43429448190325182765 * log(*(x)) )
  198. #define r_lg10(x) ( 0.43429448190325182765 * log(*(x)) )
  199. #define d_log(x) (log(*(x)))
  200. #define d_mod(x, y) (fmod(*(x), *(y)))
  201. #define u_nint(__x) ((__x)>=0 ? floor((__x) + .5) : -floor(.5 - (__x)))
  202. #define d_nint(x) u_nint(*(x))
  203. #define u_sign(__a,__b) ((__b) >= 0 ? ((__a) >= 0 ? (__a) : -(__a)) : -((__a) >= 0 ? (__a) : -(__a)))
  204. #define d_sign(a,b) u_sign(*(a),*(b))
  205. #define r_sign(a,b) u_sign(*(a),*(b))
  206. #define d_sin(x) (sin(*(x)))
  207. #define d_sinh(x) (sinh(*(x)))
  208. #define d_sqrt(x) (sqrt(*(x)))
  209. #define d_tan(x) (tan(*(x)))
  210. #define d_tanh(x) (tanh(*(x)))
  211. #define i_abs(x) abs(*(x))
  212. #define i_dnnt(x) ((integer)u_nint(*(x)))
  213. #define i_len(s, n) (n)
  214. #define i_nint(x) ((integer)u_nint(*(x)))
  215. #define i_sign(a,b) ((integer)u_sign((integer)*(a),(integer)*(b)))
  216. #define pow_dd(ap, bp) ( pow(*(ap), *(bp)))
  217. #define pow_si(B,E) spow_ui(*(B),*(E))
  218. #define pow_ri(B,E) spow_ui(*(B),*(E))
  219. #define pow_di(B,E) dpow_ui(*(B),*(E))
  220. #define pow_zi(p, a, b) {pCd(p) = zpow_ui(Cd(a), *(b));}
  221. #define pow_ci(p, a, b) {pCf(p) = cpow_ui(Cf(a), *(b));}
  222. #define pow_zz(R,A,B) {pCd(R) = cpow(Cd(A),*(B));}
  223. #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++ = ' '; }
  224. #define s_cmp(a,b,c,d) ((integer)strncmp((a),(b),f2cmin((c),(d))))
  225. #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]; }
  226. #define sig_die(s, kill) { exit(1); }
  227. #define s_stop(s, n) {exit(0);}
  228. static char junk[] = "\n@(#)LIBF77 VERSION 19990503\n";
  229. #define z_abs(z) (cabs(Cd(z)))
  230. #define z_exp(R, Z) {pCd(R) = cexp(Cd(Z));}
  231. #define z_sqrt(R, Z) {pCd(R) = csqrt(Cd(Z));}
  232. #define myexit_() break;
  233. #define mycycle() continue;
  234. #define myceiling(w) {ceil(w)}
  235. #define myhuge(w) {HUGE_VAL}
  236. //#define mymaxloc_(w,s,e,n) {if (sizeof(*(w)) == sizeof(double)) dmaxloc_((w),*(s),*(e),n); else dmaxloc_((w),*(s),*(e),n);}
  237. #define mymaxloc(w,s,e,n) {dmaxloc_(w,*(s),*(e),n)}
  238. /* procedure parameter types for -A and -C++ */
  239. #ifdef __cplusplus
  240. typedef logical (*L_fp)(...);
  241. #else
  242. typedef logical (*L_fp)();
  243. #endif
  244. static float spow_ui(float x, integer n) {
  245. float pow=1.0; unsigned long int u;
  246. if(n != 0) {
  247. if(n < 0) n = -n, x = 1/x;
  248. for(u = n; ; ) {
  249. if(u & 01) pow *= x;
  250. if(u >>= 1) x *= x;
  251. else break;
  252. }
  253. }
  254. return pow;
  255. }
  256. static double dpow_ui(double x, integer n) {
  257. double pow=1.0; unsigned long int u;
  258. if(n != 0) {
  259. if(n < 0) n = -n, x = 1/x;
  260. for(u = n; ; ) {
  261. if(u & 01) pow *= x;
  262. if(u >>= 1) x *= x;
  263. else break;
  264. }
  265. }
  266. return pow;
  267. }
  268. #ifdef _MSC_VER
  269. static _Fcomplex cpow_ui(complex x, integer n) {
  270. complex pow={1.0,0.0}; unsigned long int u;
  271. if(n != 0) {
  272. if(n < 0) n = -n, x.r = 1/x.r, x.i=1/x.i;
  273. for(u = n; ; ) {
  274. if(u & 01) pow.r *= x.r, pow.i *= x.i;
  275. if(u >>= 1) x.r *= x.r, x.i *= x.i;
  276. else break;
  277. }
  278. }
  279. _Fcomplex p={pow.r, pow.i};
  280. return p;
  281. }
  282. #else
  283. static _Complex float cpow_ui(_Complex float x, integer n) {
  284. _Complex float pow=1.0; unsigned long int u;
  285. if(n != 0) {
  286. if(n < 0) n = -n, x = 1/x;
  287. for(u = n; ; ) {
  288. if(u & 01) pow *= x;
  289. if(u >>= 1) x *= x;
  290. else break;
  291. }
  292. }
  293. return pow;
  294. }
  295. #endif
  296. #ifdef _MSC_VER
  297. static _Dcomplex zpow_ui(_Dcomplex x, integer n) {
  298. _Dcomplex pow={1.0,0.0}; unsigned long int u;
  299. if(n != 0) {
  300. if(n < 0) n = -n, x._Val[0] = 1/x._Val[0], x._Val[1] =1/x._Val[1];
  301. for(u = n; ; ) {
  302. if(u & 01) pow._Val[0] *= x._Val[0], pow._Val[1] *= x._Val[1];
  303. if(u >>= 1) x._Val[0] *= x._Val[0], x._Val[1] *= x._Val[1];
  304. else break;
  305. }
  306. }
  307. _Dcomplex p = {pow._Val[0], pow._Val[1]};
  308. return p;
  309. }
  310. #else
  311. static _Complex double zpow_ui(_Complex double x, integer n) {
  312. _Complex double pow=1.0; unsigned long int u;
  313. if(n != 0) {
  314. if(n < 0) n = -n, x = 1/x;
  315. for(u = n; ; ) {
  316. if(u & 01) pow *= x;
  317. if(u >>= 1) x *= x;
  318. else break;
  319. }
  320. }
  321. return pow;
  322. }
  323. #endif
  324. static integer pow_ii(integer x, integer n) {
  325. integer pow; unsigned long int u;
  326. if (n <= 0) {
  327. if (n == 0 || x == 1) pow = 1;
  328. else if (x != -1) pow = x == 0 ? 1/x : 0;
  329. else n = -n;
  330. }
  331. if ((n > 0) || !(n == 0 || x == 1 || x != -1)) {
  332. u = n;
  333. for(pow = 1; ; ) {
  334. if(u & 01) pow *= x;
  335. if(u >>= 1) x *= x;
  336. else break;
  337. }
  338. }
  339. return pow;
  340. }
  341. static integer dmaxloc_(double *w, integer s, integer e, integer *n)
  342. {
  343. double m; integer i, mi;
  344. for(m=w[s-1], mi=s, i=s+1; i<=e; i++)
  345. if (w[i-1]>m) mi=i ,m=w[i-1];
  346. return mi-s+1;
  347. }
  348. static integer smaxloc_(float *w, integer s, integer e, integer *n)
  349. {
  350. float m; integer i, mi;
  351. for(m=w[s-1], mi=s, i=s+1; i<=e; i++)
  352. if (w[i-1]>m) mi=i ,m=w[i-1];
  353. return mi-s+1;
  354. }
  355. static inline void cdotc_(complex *z, integer *n_, complex *x, integer *incx_, complex *y, integer *incy_) {
  356. integer n = *n_, incx = *incx_, incy = *incy_, i;
  357. #ifdef _MSC_VER
  358. _Fcomplex zdotc = {0.0, 0.0};
  359. if (incx == 1 && incy == 1) {
  360. for (i=0;i<n;i++) { /* zdotc = zdotc + dconjg(x(i))* y(i) */
  361. zdotc._Val[0] += conjf(Cf(&x[i]))._Val[0] * Cf(&y[i])._Val[0];
  362. zdotc._Val[1] += conjf(Cf(&x[i]))._Val[1] * Cf(&y[i])._Val[1];
  363. }
  364. } else {
  365. for (i=0;i<n;i++) { /* zdotc = zdotc + dconjg(x(i))* y(i) */
  366. zdotc._Val[0] += conjf(Cf(&x[i*incx]))._Val[0] * Cf(&y[i*incy])._Val[0];
  367. zdotc._Val[1] += conjf(Cf(&x[i*incx]))._Val[1] * Cf(&y[i*incy])._Val[1];
  368. }
  369. }
  370. pCf(z) = zdotc;
  371. }
  372. #else
  373. _Complex float zdotc = 0.0;
  374. if (incx == 1 && incy == 1) {
  375. for (i=0;i<n;i++) { /* zdotc = zdotc + dconjg(x(i))* y(i) */
  376. zdotc += conjf(Cf(&x[i])) * Cf(&y[i]);
  377. }
  378. } else {
  379. for (i=0;i<n;i++) { /* zdotc = zdotc + dconjg(x(i))* y(i) */
  380. zdotc += conjf(Cf(&x[i*incx])) * Cf(&y[i*incy]);
  381. }
  382. }
  383. pCf(z) = zdotc;
  384. }
  385. #endif
  386. static inline void zdotc_(doublecomplex *z, integer *n_, doublecomplex *x, integer *incx_, doublecomplex *y, integer *incy_) {
  387. integer n = *n_, incx = *incx_, incy = *incy_, i;
  388. #ifdef _MSC_VER
  389. _Dcomplex zdotc = {0.0, 0.0};
  390. if (incx == 1 && incy == 1) {
  391. for (i=0;i<n;i++) { /* zdotc = zdotc + dconjg(x(i))* y(i) */
  392. zdotc._Val[0] += conj(Cd(&x[i]))._Val[0] * Cd(&y[i])._Val[0];
  393. zdotc._Val[1] += conj(Cd(&x[i]))._Val[1] * Cd(&y[i])._Val[1];
  394. }
  395. } else {
  396. for (i=0;i<n;i++) { /* zdotc = zdotc + dconjg(x(i))* y(i) */
  397. zdotc._Val[0] += conj(Cd(&x[i*incx]))._Val[0] * Cd(&y[i*incy])._Val[0];
  398. zdotc._Val[1] += conj(Cd(&x[i*incx]))._Val[1] * Cd(&y[i*incy])._Val[1];
  399. }
  400. }
  401. pCd(z) = zdotc;
  402. }
  403. #else
  404. _Complex double zdotc = 0.0;
  405. if (incx == 1 && incy == 1) {
  406. for (i=0;i<n;i++) { /* zdotc = zdotc + dconjg(x(i))* y(i) */
  407. zdotc += conj(Cd(&x[i])) * Cd(&y[i]);
  408. }
  409. } else {
  410. for (i=0;i<n;i++) { /* zdotc = zdotc + dconjg(x(i))* y(i) */
  411. zdotc += conj(Cd(&x[i*incx])) * Cd(&y[i*incy]);
  412. }
  413. }
  414. pCd(z) = zdotc;
  415. }
  416. #endif
  417. static inline void cdotu_(complex *z, integer *n_, complex *x, integer *incx_, complex *y, integer *incy_) {
  418. integer n = *n_, incx = *incx_, incy = *incy_, i;
  419. #ifdef _MSC_VER
  420. _Fcomplex zdotc = {0.0, 0.0};
  421. if (incx == 1 && incy == 1) {
  422. for (i=0;i<n;i++) { /* zdotc = zdotc + dconjg(x(i))* y(i) */
  423. zdotc._Val[0] += Cf(&x[i])._Val[0] * Cf(&y[i])._Val[0];
  424. zdotc._Val[1] += Cf(&x[i])._Val[1] * Cf(&y[i])._Val[1];
  425. }
  426. } else {
  427. for (i=0;i<n;i++) { /* zdotc = zdotc + dconjg(x(i))* y(i) */
  428. zdotc._Val[0] += Cf(&x[i*incx])._Val[0] * Cf(&y[i*incy])._Val[0];
  429. zdotc._Val[1] += Cf(&x[i*incx])._Val[1] * Cf(&y[i*incy])._Val[1];
  430. }
  431. }
  432. pCf(z) = zdotc;
  433. }
  434. #else
  435. _Complex float zdotc = 0.0;
  436. if (incx == 1 && incy == 1) {
  437. for (i=0;i<n;i++) { /* zdotc = zdotc + dconjg(x(i))* y(i) */
  438. zdotc += Cf(&x[i]) * Cf(&y[i]);
  439. }
  440. } else {
  441. for (i=0;i<n;i++) { /* zdotc = zdotc + dconjg(x(i))* y(i) */
  442. zdotc += Cf(&x[i*incx]) * Cf(&y[i*incy]);
  443. }
  444. }
  445. pCf(z) = zdotc;
  446. }
  447. #endif
  448. static inline void zdotu_(doublecomplex *z, integer *n_, doublecomplex *x, integer *incx_, doublecomplex *y, integer *incy_) {
  449. integer n = *n_, incx = *incx_, incy = *incy_, i;
  450. #ifdef _MSC_VER
  451. _Dcomplex zdotc = {0.0, 0.0};
  452. if (incx == 1 && incy == 1) {
  453. for (i=0;i<n;i++) { /* zdotc = zdotc + dconjg(x(i))* y(i) */
  454. zdotc._Val[0] += Cd(&x[i])._Val[0] * Cd(&y[i])._Val[0];
  455. zdotc._Val[1] += Cd(&x[i])._Val[1] * Cd(&y[i])._Val[1];
  456. }
  457. } else {
  458. for (i=0;i<n;i++) { /* zdotc = zdotc + dconjg(x(i))* y(i) */
  459. zdotc._Val[0] += Cd(&x[i*incx])._Val[0] * Cd(&y[i*incy])._Val[0];
  460. zdotc._Val[1] += Cd(&x[i*incx])._Val[1] * Cd(&y[i*incy])._Val[1];
  461. }
  462. }
  463. pCd(z) = zdotc;
  464. }
  465. #else
  466. _Complex double zdotc = 0.0;
  467. if (incx == 1 && incy == 1) {
  468. for (i=0;i<n;i++) { /* zdotc = zdotc + dconjg(x(i))* y(i) */
  469. zdotc += Cd(&x[i]) * Cd(&y[i]);
  470. }
  471. } else {
  472. for (i=0;i<n;i++) { /* zdotc = zdotc + dconjg(x(i))* y(i) */
  473. zdotc += Cd(&x[i*incx]) * Cd(&y[i*incy]);
  474. }
  475. }
  476. pCd(z) = zdotc;
  477. }
  478. #endif
  479. /* -- translated by f2c (version 20000121).
  480. You must link the resulting object file with the libraries:
  481. -lf2c -lm (in that order)
  482. */
  483. /* Table of constant values */
  484. static complex c_b1 = {1.f,0.f};
  485. static integer c__1 = 1;
  486. /* \brief \b CLAHEF_ROOK computes a partial factorization of a complex Hermitian indefinite matrix using the b
  487. ounded Bunch-Kaufman ("rook") diagonal pivoting method (blocked algorithm, calling Level 3 BLAS). */
  488. /* =========== DOCUMENTATION =========== */
  489. /* Online html documentation available at */
  490. /* http://www.netlib.org/lapack/explore-html/ */
  491. /* > \htmlonly */
  492. /* > Download CLAHEF_ROOK + dependencies */
  493. /* > <a href="http://www.netlib.org/cgi-bin/netlibfiles.tgz?format=tgz&filename=/lapack/lapack_routine/clahef_
  494. rook.f"> */
  495. /* > [TGZ]</a> */
  496. /* > <a href="http://www.netlib.org/cgi-bin/netlibfiles.zip?format=zip&filename=/lapack/lapack_routine/clahef_
  497. rook.f"> */
  498. /* > [ZIP]</a> */
  499. /* > <a href="http://www.netlib.org/cgi-bin/netlibfiles.txt?format=txt&filename=/lapack/lapack_routine/clahef_
  500. rook.f"> */
  501. /* > [TXT]</a> */
  502. /* > \endhtmlonly */
  503. /* Definition: */
  504. /* =========== */
  505. /* SUBROUTINE CLAHEF_ROOK( UPLO, N, NB, KB, A, LDA, IPIV, W, LDW, INFO ) */
  506. /* CHARACTER UPLO */
  507. /* INTEGER INFO, KB, LDA, LDW, N, NB */
  508. /* INTEGER IPIV( * ) */
  509. /* COMPLEX A( LDA, * ), W( LDW, * ) */
  510. /* > \par Purpose: */
  511. /* ============= */
  512. /* > */
  513. /* > \verbatim */
  514. /* > */
  515. /* > CLAHEF_ROOK computes a partial factorization of a complex Hermitian */
  516. /* > matrix A using the bounded Bunch-Kaufman ("rook") diagonal pivoting */
  517. /* > method. The partial factorization has the form: */
  518. /* > */
  519. /* > A = ( I U12 ) ( A11 0 ) ( I 0 ) if UPLO = 'U', or: */
  520. /* > ( 0 U22 ) ( 0 D ) ( U12**H U22**H ) */
  521. /* > */
  522. /* > A = ( L11 0 ) ( D 0 ) ( L11**H L21**H ) if UPLO = 'L' */
  523. /* > ( L21 I ) ( 0 A22 ) ( 0 I ) */
  524. /* > */
  525. /* > where the order of D is at most NB. The actual order is returned in */
  526. /* > the argument KB, and is either NB or NB-1, or N if N <= NB. */
  527. /* > Note that U**H denotes the conjugate transpose of U. */
  528. /* > */
  529. /* > CLAHEF_ROOK is an auxiliary routine called by CHETRF_ROOK. It uses */
  530. /* > blocked code (calling Level 3 BLAS) to update the submatrix */
  531. /* > A11 (if UPLO = 'U') or A22 (if UPLO = 'L'). */
  532. /* > \endverbatim */
  533. /* Arguments: */
  534. /* ========== */
  535. /* > \param[in] UPLO */
  536. /* > \verbatim */
  537. /* > UPLO is CHARACTER*1 */
  538. /* > Specifies whether the upper or lower triangular part of the */
  539. /* > Hermitian matrix A is stored: */
  540. /* > = 'U': Upper triangular */
  541. /* > = 'L': Lower triangular */
  542. /* > \endverbatim */
  543. /* > */
  544. /* > \param[in] N */
  545. /* > \verbatim */
  546. /* > N is INTEGER */
  547. /* > The order of the matrix A. N >= 0. */
  548. /* > \endverbatim */
  549. /* > */
  550. /* > \param[in] NB */
  551. /* > \verbatim */
  552. /* > NB is INTEGER */
  553. /* > The maximum number of columns of the matrix A that should be */
  554. /* > factored. NB should be at least 2 to allow for 2-by-2 pivot */
  555. /* > blocks. */
  556. /* > \endverbatim */
  557. /* > */
  558. /* > \param[out] KB */
  559. /* > \verbatim */
  560. /* > KB is INTEGER */
  561. /* > The number of columns of A that were actually factored. */
  562. /* > KB is either NB-1 or NB, or N if N <= NB. */
  563. /* > \endverbatim */
  564. /* > */
  565. /* > \param[in,out] A */
  566. /* > \verbatim */
  567. /* > A is COMPLEX array, dimension (LDA,N) */
  568. /* > On entry, the Hermitian matrix A. If UPLO = 'U', the leading */
  569. /* > n-by-n upper triangular part of A contains the upper */
  570. /* > triangular part of the matrix A, and the strictly lower */
  571. /* > triangular part of A is not referenced. If UPLO = 'L', the */
  572. /* > leading n-by-n lower triangular part of A contains the lower */
  573. /* > triangular part of the matrix A, and the strictly upper */
  574. /* > triangular part of A is not referenced. */
  575. /* > On exit, A contains details of the partial factorization. */
  576. /* > \endverbatim */
  577. /* > */
  578. /* > \param[in] LDA */
  579. /* > \verbatim */
  580. /* > LDA is INTEGER */
  581. /* > The leading dimension of the array A. LDA >= f2cmax(1,N). */
  582. /* > \endverbatim */
  583. /* > */
  584. /* > \param[out] IPIV */
  585. /* > \verbatim */
  586. /* > IPIV is INTEGER array, dimension (N) */
  587. /* > Details of the interchanges and the block structure of D. */
  588. /* > */
  589. /* > If UPLO = 'U': */
  590. /* > Only the last KB elements of IPIV are set. */
  591. /* > */
  592. /* > If IPIV(k) > 0, then rows and columns k and IPIV(k) were */
  593. /* > interchanged and D(k,k) is a 1-by-1 diagonal block. */
  594. /* > */
  595. /* > If IPIV(k) < 0 and IPIV(k-1) < 0, then rows and */
  596. /* > columns k and -IPIV(k) were interchanged and rows and */
  597. /* > columns k-1 and -IPIV(k-1) were inerchaged, */
  598. /* > D(k-1:k,k-1:k) is a 2-by-2 diagonal block. */
  599. /* > */
  600. /* > If UPLO = 'L': */
  601. /* > Only the first KB elements of IPIV are set. */
  602. /* > */
  603. /* > If IPIV(k) > 0, then rows and columns k and IPIV(k) */
  604. /* > were interchanged and D(k,k) is a 1-by-1 diagonal block. */
  605. /* > */
  606. /* > If IPIV(k) < 0 and IPIV(k+1) < 0, then rows and */
  607. /* > columns k and -IPIV(k) were interchanged and rows and */
  608. /* > columns k+1 and -IPIV(k+1) were inerchaged, */
  609. /* > D(k:k+1,k:k+1) is a 2-by-2 diagonal block. */
  610. /* > \endverbatim */
  611. /* > */
  612. /* > \param[out] W */
  613. /* > \verbatim */
  614. /* > W is COMPLEX array, dimension (LDW,NB) */
  615. /* > \endverbatim */
  616. /* > */
  617. /* > \param[in] LDW */
  618. /* > \verbatim */
  619. /* > LDW is INTEGER */
  620. /* > The leading dimension of the array W. LDW >= f2cmax(1,N). */
  621. /* > \endverbatim */
  622. /* > */
  623. /* > \param[out] INFO */
  624. /* > \verbatim */
  625. /* > INFO is INTEGER */
  626. /* > = 0: successful exit */
  627. /* > > 0: if INFO = k, D(k,k) is exactly zero. The factorization */
  628. /* > has been completed, but the block diagonal matrix D is */
  629. /* > exactly singular. */
  630. /* > \endverbatim */
  631. /* Authors: */
  632. /* ======== */
  633. /* > \author Univ. of Tennessee */
  634. /* > \author Univ. of California Berkeley */
  635. /* > \author Univ. of Colorado Denver */
  636. /* > \author NAG Ltd. */
  637. /* > \date November 2013 */
  638. /* > \ingroup complexHEcomputational */
  639. /* > \par Contributors: */
  640. /* ================== */
  641. /* > */
  642. /* > \verbatim */
  643. /* > */
  644. /* > November 2013, Igor Kozachenko, */
  645. /* > Computer Science Division, */
  646. /* > University of California, Berkeley */
  647. /* > */
  648. /* > September 2007, Sven Hammarling, Nicholas J. Higham, Craig Lucas, */
  649. /* > School of Mathematics, */
  650. /* > University of Manchester */
  651. /* > \endverbatim */
  652. /* ===================================================================== */
  653. /* Subroutine */ void clahef_rook_(char *uplo, integer *n, integer *nb,
  654. integer *kb, complex *a, integer *lda, integer *ipiv, complex *w,
  655. integer *ldw, integer *info)
  656. {
  657. /* System generated locals */
  658. integer a_dim1, a_offset, w_dim1, w_offset, i__1, i__2, i__3, i__4, i__5;
  659. real r__1, r__2;
  660. complex q__1, q__2, q__3, q__4, q__5;
  661. /* Local variables */
  662. logical done;
  663. integer imax, jmax, j, k, p;
  664. real t, alpha;
  665. extern /* Subroutine */ void cgemm_(char *, char *, integer *, integer *,
  666. integer *, complex *, complex *, integer *, complex *, integer *,
  667. complex *, complex *, integer *);
  668. extern logical lsame_(char *, char *);
  669. extern /* Subroutine */ void cgemv_(char *, integer *, integer *, complex *
  670. , complex *, integer *, complex *, integer *, complex *, complex *
  671. , integer *);
  672. real sfmin;
  673. extern /* Subroutine */ void ccopy_(integer *, complex *, integer *,
  674. complex *, integer *);
  675. integer itemp;
  676. extern /* Subroutine */ void cswap_(integer *, complex *, integer *,
  677. complex *, integer *);
  678. integer kstep;
  679. real stemp, r1;
  680. complex d11, d21, d22;
  681. integer jb, ii, jj, kk, kp;
  682. real absakk;
  683. extern /* Subroutine */ void clacgv_(integer *, complex *, integer *);
  684. integer kw;
  685. extern integer icamax_(integer *, complex *, integer *);
  686. extern real slamch_(char *);
  687. extern /* Subroutine */ void csscal_(integer *, real *, complex *, integer
  688. *);
  689. real colmax;
  690. integer jp1, jp2;
  691. real rowmax;
  692. integer kkw;
  693. /* -- LAPACK computational routine (version 3.5.0) -- */
  694. /* -- LAPACK is a software package provided by Univ. of Tennessee, -- */
  695. /* -- Univ. of California Berkeley, Univ. of Colorado Denver and NAG Ltd..-- */
  696. /* November 2013 */
  697. /* ===================================================================== */
  698. /* Parameter adjustments */
  699. a_dim1 = *lda;
  700. a_offset = 1 + a_dim1 * 1;
  701. a -= a_offset;
  702. --ipiv;
  703. w_dim1 = *ldw;
  704. w_offset = 1 + w_dim1 * 1;
  705. w -= w_offset;
  706. /* Function Body */
  707. *info = 0;
  708. /* Initialize ALPHA for use in choosing pivot block size. */
  709. alpha = (sqrt(17.f) + 1.f) / 8.f;
  710. /* Compute machine safe minimum */
  711. sfmin = slamch_("S");
  712. if (lsame_(uplo, "U")) {
  713. /* Factorize the trailing columns of A using the upper triangle */
  714. /* of A and working backwards, and compute the matrix W = U12*D */
  715. /* for use in updating A11 (note that conjg(W) is actually stored) */
  716. /* K is the main loop index, decreasing from N in steps of 1 or 2 */
  717. k = *n;
  718. L10:
  719. /* KW is the column of W which corresponds to column K of A */
  720. kw = *nb + k - *n;
  721. /* Exit from loop */
  722. if (k <= *n - *nb + 1 && *nb < *n || k < 1) {
  723. goto L30;
  724. }
  725. kstep = 1;
  726. p = k;
  727. /* Copy column K of A to column KW of W and update it */
  728. if (k > 1) {
  729. i__1 = k - 1;
  730. ccopy_(&i__1, &a[k * a_dim1 + 1], &c__1, &w[kw * w_dim1 + 1], &
  731. c__1);
  732. }
  733. i__1 = k + kw * w_dim1;
  734. i__2 = k + k * a_dim1;
  735. r__1 = a[i__2].r;
  736. w[i__1].r = r__1, w[i__1].i = 0.f;
  737. if (k < *n) {
  738. i__1 = *n - k;
  739. q__1.r = -1.f, q__1.i = 0.f;
  740. cgemv_("No transpose", &k, &i__1, &q__1, &a[(k + 1) * a_dim1 + 1],
  741. lda, &w[k + (kw + 1) * w_dim1], ldw, &c_b1, &w[kw *
  742. w_dim1 + 1], &c__1);
  743. i__1 = k + kw * w_dim1;
  744. i__2 = k + kw * w_dim1;
  745. r__1 = w[i__2].r;
  746. w[i__1].r = r__1, w[i__1].i = 0.f;
  747. }
  748. /* Determine rows and columns to be interchanged and whether */
  749. /* a 1-by-1 or 2-by-2 pivot block will be used */
  750. i__1 = k + kw * w_dim1;
  751. absakk = (r__1 = w[i__1].r, abs(r__1));
  752. /* IMAX is the row-index of the largest off-diagonal element in */
  753. /* column K, and COLMAX is its absolute value. */
  754. /* Determine both COLMAX and IMAX. */
  755. if (k > 1) {
  756. i__1 = k - 1;
  757. imax = icamax_(&i__1, &w[kw * w_dim1 + 1], &c__1);
  758. i__1 = imax + kw * w_dim1;
  759. colmax = (r__1 = w[i__1].r, abs(r__1)) + (r__2 = r_imag(&w[imax +
  760. kw * w_dim1]), abs(r__2));
  761. } else {
  762. colmax = 0.f;
  763. }
  764. if (f2cmax(absakk,colmax) == 0.f) {
  765. /* Column K is zero or underflow: set INFO and continue */
  766. if (*info == 0) {
  767. *info = k;
  768. }
  769. kp = k;
  770. i__1 = k + k * a_dim1;
  771. i__2 = k + kw * w_dim1;
  772. r__1 = w[i__2].r;
  773. a[i__1].r = r__1, a[i__1].i = 0.f;
  774. if (k > 1) {
  775. i__1 = k - 1;
  776. ccopy_(&i__1, &w[kw * w_dim1 + 1], &c__1, &a[k * a_dim1 + 1],
  777. &c__1);
  778. }
  779. } else {
  780. /* ============================================================ */
  781. /* BEGIN pivot search */
  782. /* Case(1) */
  783. /* Equivalent to testing for ABSAKK.GE.ALPHA*COLMAX */
  784. /* (used to handle NaN and Inf) */
  785. if (! (absakk < alpha * colmax)) {
  786. /* no interchange, use 1-by-1 pivot block */
  787. kp = k;
  788. } else {
  789. /* Lop until pivot found */
  790. done = FALSE_;
  791. L12:
  792. /* BEGIN pivot search loop body */
  793. /* Copy column IMAX to column KW-1 of W and update it */
  794. if (imax > 1) {
  795. i__1 = imax - 1;
  796. ccopy_(&i__1, &a[imax * a_dim1 + 1], &c__1, &w[(kw - 1) *
  797. w_dim1 + 1], &c__1);
  798. }
  799. i__1 = imax + (kw - 1) * w_dim1;
  800. i__2 = imax + imax * a_dim1;
  801. r__1 = a[i__2].r;
  802. w[i__1].r = r__1, w[i__1].i = 0.f;
  803. i__1 = k - imax;
  804. ccopy_(&i__1, &a[imax + (imax + 1) * a_dim1], lda, &w[imax +
  805. 1 + (kw - 1) * w_dim1], &c__1);
  806. i__1 = k - imax;
  807. clacgv_(&i__1, &w[imax + 1 + (kw - 1) * w_dim1], &c__1);
  808. if (k < *n) {
  809. i__1 = *n - k;
  810. q__1.r = -1.f, q__1.i = 0.f;
  811. cgemv_("No transpose", &k, &i__1, &q__1, &a[(k + 1) *
  812. a_dim1 + 1], lda, &w[imax + (kw + 1) * w_dim1],
  813. ldw, &c_b1, &w[(kw - 1) * w_dim1 + 1], &c__1);
  814. i__1 = imax + (kw - 1) * w_dim1;
  815. i__2 = imax + (kw - 1) * w_dim1;
  816. r__1 = w[i__2].r;
  817. w[i__1].r = r__1, w[i__1].i = 0.f;
  818. }
  819. /* JMAX is the column-index of the largest off-diagonal */
  820. /* element in row IMAX, and ROWMAX is its absolute value. */
  821. /* Determine both ROWMAX and JMAX. */
  822. if (imax != k) {
  823. i__1 = k - imax;
  824. jmax = imax + icamax_(&i__1, &w[imax + 1 + (kw - 1) *
  825. w_dim1], &c__1);
  826. i__1 = jmax + (kw - 1) * w_dim1;
  827. rowmax = (r__1 = w[i__1].r, abs(r__1)) + (r__2 = r_imag(&
  828. w[jmax + (kw - 1) * w_dim1]), abs(r__2));
  829. } else {
  830. rowmax = 0.f;
  831. }
  832. if (imax > 1) {
  833. i__1 = imax - 1;
  834. itemp = icamax_(&i__1, &w[(kw - 1) * w_dim1 + 1], &c__1);
  835. i__1 = itemp + (kw - 1) * w_dim1;
  836. stemp = (r__1 = w[i__1].r, abs(r__1)) + (r__2 = r_imag(&w[
  837. itemp + (kw - 1) * w_dim1]), abs(r__2));
  838. if (stemp > rowmax) {
  839. rowmax = stemp;
  840. jmax = itemp;
  841. }
  842. }
  843. /* Case(2) */
  844. /* Equivalent to testing for */
  845. /* ABS( REAL( W( IMAX,KW-1 ) ) ).GE.ALPHA*ROWMAX */
  846. /* (used to handle NaN and Inf) */
  847. i__1 = imax + (kw - 1) * w_dim1;
  848. if (! ((r__1 = w[i__1].r, abs(r__1)) < alpha * rowmax)) {
  849. /* interchange rows and columns K and IMAX, */
  850. /* use 1-by-1 pivot block */
  851. kp = imax;
  852. /* copy column KW-1 of W to column KW of W */
  853. ccopy_(&k, &w[(kw - 1) * w_dim1 + 1], &c__1, &w[kw *
  854. w_dim1 + 1], &c__1);
  855. done = TRUE_;
  856. /* Case(3) */
  857. /* Equivalent to testing for ROWMAX.EQ.COLMAX, */
  858. /* (used to handle NaN and Inf) */
  859. } else if (p == jmax || rowmax <= colmax) {
  860. /* interchange rows and columns K-1 and IMAX, */
  861. /* use 2-by-2 pivot block */
  862. kp = imax;
  863. kstep = 2;
  864. done = TRUE_;
  865. /* Case(4) */
  866. } else {
  867. /* Pivot not found: set params and repeat */
  868. p = imax;
  869. colmax = rowmax;
  870. imax = jmax;
  871. /* Copy updated JMAXth (next IMAXth) column to Kth of W */
  872. ccopy_(&k, &w[(kw - 1) * w_dim1 + 1], &c__1, &w[kw *
  873. w_dim1 + 1], &c__1);
  874. }
  875. /* END pivot search loop body */
  876. if (! done) {
  877. goto L12;
  878. }
  879. }
  880. /* END pivot search */
  881. /* ============================================================ */
  882. /* KK is the column of A where pivoting step stopped */
  883. kk = k - kstep + 1;
  884. /* KKW is the column of W which corresponds to column KK of A */
  885. kkw = *nb + kk - *n;
  886. /* Interchange rows and columns P and K. */
  887. /* Updated column P is already stored in column KW of W. */
  888. if (kstep == 2 && p != k) {
  889. /* Copy non-updated column K to column P of submatrix A */
  890. /* at step K. No need to copy element into columns */
  891. /* K and K-1 of A for 2-by-2 pivot, since these columns */
  892. /* will be later overwritten. */
  893. i__1 = p + p * a_dim1;
  894. i__2 = k + k * a_dim1;
  895. r__1 = a[i__2].r;
  896. a[i__1].r = r__1, a[i__1].i = 0.f;
  897. i__1 = k - 1 - p;
  898. ccopy_(&i__1, &a[p + 1 + k * a_dim1], &c__1, &a[p + (p + 1) *
  899. a_dim1], lda);
  900. i__1 = k - 1 - p;
  901. clacgv_(&i__1, &a[p + (p + 1) * a_dim1], lda);
  902. if (p > 1) {
  903. i__1 = p - 1;
  904. ccopy_(&i__1, &a[k * a_dim1 + 1], &c__1, &a[p * a_dim1 +
  905. 1], &c__1);
  906. }
  907. /* Interchange rows K and P in the last K+1 to N columns of A */
  908. /* (columns K and K-1 of A for 2-by-2 pivot will be */
  909. /* later overwritten). Interchange rows K and P */
  910. /* in last KKW to NB columns of W. */
  911. if (k < *n) {
  912. i__1 = *n - k;
  913. cswap_(&i__1, &a[k + (k + 1) * a_dim1], lda, &a[p + (k +
  914. 1) * a_dim1], lda);
  915. }
  916. i__1 = *n - kk + 1;
  917. cswap_(&i__1, &w[k + kkw * w_dim1], ldw, &w[p + kkw * w_dim1],
  918. ldw);
  919. }
  920. /* Interchange rows and columns KP and KK. */
  921. /* Updated column KP is already stored in column KKW of W. */
  922. if (kp != kk) {
  923. /* Copy non-updated column KK to column KP of submatrix A */
  924. /* at step K. No need to copy element into column K */
  925. /* (or K and K-1 for 2-by-2 pivot) of A, since these columns */
  926. /* will be later overwritten. */
  927. i__1 = kp + kp * a_dim1;
  928. i__2 = kk + kk * a_dim1;
  929. r__1 = a[i__2].r;
  930. a[i__1].r = r__1, a[i__1].i = 0.f;
  931. i__1 = kk - 1 - kp;
  932. ccopy_(&i__1, &a[kp + 1 + kk * a_dim1], &c__1, &a[kp + (kp +
  933. 1) * a_dim1], lda);
  934. i__1 = kk - 1 - kp;
  935. clacgv_(&i__1, &a[kp + (kp + 1) * a_dim1], lda);
  936. if (kp > 1) {
  937. i__1 = kp - 1;
  938. ccopy_(&i__1, &a[kk * a_dim1 + 1], &c__1, &a[kp * a_dim1
  939. + 1], &c__1);
  940. }
  941. /* Interchange rows KK and KP in last K+1 to N columns of A */
  942. /* (columns K (or K and K-1 for 2-by-2 pivot) of A will be */
  943. /* later overwritten). Interchange rows KK and KP */
  944. /* in last KKW to NB columns of W. */
  945. if (k < *n) {
  946. i__1 = *n - k;
  947. cswap_(&i__1, &a[kk + (k + 1) * a_dim1], lda, &a[kp + (k
  948. + 1) * a_dim1], lda);
  949. }
  950. i__1 = *n - kk + 1;
  951. cswap_(&i__1, &w[kk + kkw * w_dim1], ldw, &w[kp + kkw *
  952. w_dim1], ldw);
  953. }
  954. if (kstep == 1) {
  955. /* 1-by-1 pivot block D(k): column kw of W now holds */
  956. /* W(kw) = U(k)*D(k), */
  957. /* where U(k) is the k-th column of U */
  958. /* (1) Store subdiag. elements of column U(k) */
  959. /* and 1-by-1 block D(k) in column k of A. */
  960. /* (NOTE: Diagonal element U(k,k) is a UNIT element */
  961. /* and not stored) */
  962. /* A(k,k) := D(k,k) = W(k,kw) */
  963. /* A(1:k-1,k) := U(1:k-1,k) = W(1:k-1,kw)/D(k,k) */
  964. /* (NOTE: No need to use for Hermitian matrix */
  965. /* A( K, K ) = REAL( W( K, K) ) to separately copy diagonal */
  966. /* element D(k,k) from W (potentially saves only one load)) */
  967. ccopy_(&k, &w[kw * w_dim1 + 1], &c__1, &a[k * a_dim1 + 1], &
  968. c__1);
  969. if (k > 1) {
  970. /* (NOTE: No need to check if A(k,k) is NOT ZERO, */
  971. /* since that was ensured earlier in pivot search: */
  972. /* case A(k,k) = 0 falls into 2x2 pivot case(3)) */
  973. /* Handle division by a small number */
  974. i__1 = k + k * a_dim1;
  975. t = a[i__1].r;
  976. if (abs(t) >= sfmin) {
  977. r1 = 1.f / t;
  978. i__1 = k - 1;
  979. csscal_(&i__1, &r1, &a[k * a_dim1 + 1], &c__1);
  980. } else {
  981. i__1 = k - 1;
  982. for (ii = 1; ii <= i__1; ++ii) {
  983. i__2 = ii + k * a_dim1;
  984. i__3 = ii + k * a_dim1;
  985. q__1.r = a[i__3].r / t, q__1.i = a[i__3].i / t;
  986. a[i__2].r = q__1.r, a[i__2].i = q__1.i;
  987. /* L14: */
  988. }
  989. }
  990. /* (2) Conjugate column W(kw) */
  991. i__1 = k - 1;
  992. clacgv_(&i__1, &w[kw * w_dim1 + 1], &c__1);
  993. }
  994. } else {
  995. /* 2-by-2 pivot block D(k): columns kw and kw-1 of W now hold */
  996. /* ( W(kw-1) W(kw) ) = ( U(k-1) U(k) )*D(k) */
  997. /* where U(k) and U(k-1) are the k-th and (k-1)-th columns */
  998. /* of U */
  999. /* (1) Store U(1:k-2,k-1) and U(1:k-2,k) and 2-by-2 */
  1000. /* block D(k-1:k,k-1:k) in columns k-1 and k of A. */
  1001. /* (NOTE: 2-by-2 diagonal block U(k-1:k,k-1:k) is a UNIT */
  1002. /* block and not stored) */
  1003. /* A(k-1:k,k-1:k) := D(k-1:k,k-1:k) = W(k-1:k,kw-1:kw) */
  1004. /* A(1:k-2,k-1:k) := U(1:k-2,k:k-1:k) = */
  1005. /* = W(1:k-2,kw-1:kw) * ( D(k-1:k,k-1:k)**(-1) ) */
  1006. if (k > 2) {
  1007. /* Factor out the columns of the inverse of 2-by-2 pivot */
  1008. /* block D, so that each column contains 1, to reduce the */
  1009. /* number of FLOPS when we multiply panel */
  1010. /* ( W(kw-1) W(kw) ) by this inverse, i.e. by D**(-1). */
  1011. /* D**(-1) = ( d11 cj(d21) )**(-1) = */
  1012. /* ( d21 d22 ) */
  1013. /* = 1/(d11*d22-|d21|**2) * ( ( d22) (-cj(d21) ) ) = */
  1014. /* ( (-d21) ( d11 ) ) */
  1015. /* = 1/(|d21|**2) * 1/((d11/cj(d21))*(d22/d21)-1) * */
  1016. /* * ( d21*( d22/d21 ) conj(d21)*( - 1 ) ) = */
  1017. /* ( ( -1 ) ( d11/conj(d21) ) ) */
  1018. /* = 1/(|d21|**2) * 1/(D22*D11-1) * */
  1019. /* * ( d21*( D11 ) conj(d21)*( -1 ) ) = */
  1020. /* ( ( -1 ) ( D22 ) ) */
  1021. /* = (1/|d21|**2) * T * ( d21*( D11 ) conj(d21)*( -1 ) ) = */
  1022. /* ( ( -1 ) ( D22 ) ) */
  1023. /* = ( (T/conj(d21))*( D11 ) (T/d21)*( -1 ) ) = */
  1024. /* ( ( -1 ) ( D22 ) ) */
  1025. /* Handle division by a small number. (NOTE: order of */
  1026. /* operations is important) */
  1027. /* = ( T*(( D11 )/conj(D21)) T*(( -1 )/D21 ) ) */
  1028. /* ( (( -1 ) ) (( D22 ) ) ), */
  1029. /* where D11 = d22/d21, */
  1030. /* D22 = d11/conj(d21), */
  1031. /* D21 = d21, */
  1032. /* T = 1/(D22*D11-1). */
  1033. /* (NOTE: No need to check for division by ZERO, */
  1034. /* since that was ensured earlier in pivot search: */
  1035. /* (a) d21 != 0 in 2x2 pivot case(4), */
  1036. /* since |d21| should be larger than |d11| and |d22|; */
  1037. /* (b) (D22*D11 - 1) != 0, since from (a), */
  1038. /* both |D11| < 1, |D22| < 1, hence |D22*D11| << 1.) */
  1039. i__1 = k - 1 + kw * w_dim1;
  1040. d21.r = w[i__1].r, d21.i = w[i__1].i;
  1041. r_cnjg(&q__2, &d21);
  1042. c_div(&q__1, &w[k + kw * w_dim1], &q__2);
  1043. d11.r = q__1.r, d11.i = q__1.i;
  1044. c_div(&q__1, &w[k - 1 + (kw - 1) * w_dim1], &d21);
  1045. d22.r = q__1.r, d22.i = q__1.i;
  1046. q__1.r = d11.r * d22.r - d11.i * d22.i, q__1.i = d11.r *
  1047. d22.i + d11.i * d22.r;
  1048. t = 1.f / (q__1.r - 1.f);
  1049. /* Update elements in columns A(k-1) and A(k) as */
  1050. /* dot products of rows of ( W(kw-1) W(kw) ) and columns */
  1051. /* of D**(-1) */
  1052. i__1 = k - 2;
  1053. for (j = 1; j <= i__1; ++j) {
  1054. i__2 = j + (k - 1) * a_dim1;
  1055. i__3 = j + (kw - 1) * w_dim1;
  1056. q__4.r = d11.r * w[i__3].r - d11.i * w[i__3].i,
  1057. q__4.i = d11.r * w[i__3].i + d11.i * w[i__3]
  1058. .r;
  1059. i__4 = j + kw * w_dim1;
  1060. q__3.r = q__4.r - w[i__4].r, q__3.i = q__4.i - w[i__4]
  1061. .i;
  1062. c_div(&q__2, &q__3, &d21);
  1063. q__1.r = t * q__2.r, q__1.i = t * q__2.i;
  1064. a[i__2].r = q__1.r, a[i__2].i = q__1.i;
  1065. i__2 = j + k * a_dim1;
  1066. i__3 = j + kw * w_dim1;
  1067. q__4.r = d22.r * w[i__3].r - d22.i * w[i__3].i,
  1068. q__4.i = d22.r * w[i__3].i + d22.i * w[i__3]
  1069. .r;
  1070. i__4 = j + (kw - 1) * w_dim1;
  1071. q__3.r = q__4.r - w[i__4].r, q__3.i = q__4.i - w[i__4]
  1072. .i;
  1073. r_cnjg(&q__5, &d21);
  1074. c_div(&q__2, &q__3, &q__5);
  1075. q__1.r = t * q__2.r, q__1.i = t * q__2.i;
  1076. a[i__2].r = q__1.r, a[i__2].i = q__1.i;
  1077. /* L20: */
  1078. }
  1079. }
  1080. /* Copy D(k) to A */
  1081. i__1 = k - 1 + (k - 1) * a_dim1;
  1082. i__2 = k - 1 + (kw - 1) * w_dim1;
  1083. a[i__1].r = w[i__2].r, a[i__1].i = w[i__2].i;
  1084. i__1 = k - 1 + k * a_dim1;
  1085. i__2 = k - 1 + kw * w_dim1;
  1086. a[i__1].r = w[i__2].r, a[i__1].i = w[i__2].i;
  1087. i__1 = k + k * a_dim1;
  1088. i__2 = k + kw * w_dim1;
  1089. a[i__1].r = w[i__2].r, a[i__1].i = w[i__2].i;
  1090. /* (2) Conjugate columns W(kw) and W(kw-1) */
  1091. i__1 = k - 1;
  1092. clacgv_(&i__1, &w[kw * w_dim1 + 1], &c__1);
  1093. i__1 = k - 2;
  1094. clacgv_(&i__1, &w[(kw - 1) * w_dim1 + 1], &c__1);
  1095. }
  1096. }
  1097. /* Store details of the interchanges in IPIV */
  1098. if (kstep == 1) {
  1099. ipiv[k] = kp;
  1100. } else {
  1101. ipiv[k] = -p;
  1102. ipiv[k - 1] = -kp;
  1103. }
  1104. /* Decrease K and return to the start of the main loop */
  1105. k -= kstep;
  1106. goto L10;
  1107. L30:
  1108. /* Update the upper triangle of A11 (= A(1:k,1:k)) as */
  1109. /* A11 := A11 - U12*D*U12**H = A11 - U12*W**H */
  1110. /* computing blocks of NB columns at a time (note that conjg(W) is */
  1111. /* actually stored) */
  1112. i__1 = -(*nb);
  1113. for (j = (k - 1) / *nb * *nb + 1; i__1 < 0 ? j >= 1 : j <= 1; j +=
  1114. i__1) {
  1115. /* Computing MIN */
  1116. i__2 = *nb, i__3 = k - j + 1;
  1117. jb = f2cmin(i__2,i__3);
  1118. /* Update the upper triangle of the diagonal block */
  1119. i__2 = j + jb - 1;
  1120. for (jj = j; jj <= i__2; ++jj) {
  1121. i__3 = jj + jj * a_dim1;
  1122. i__4 = jj + jj * a_dim1;
  1123. r__1 = a[i__4].r;
  1124. a[i__3].r = r__1, a[i__3].i = 0.f;
  1125. i__3 = jj - j + 1;
  1126. i__4 = *n - k;
  1127. q__1.r = -1.f, q__1.i = 0.f;
  1128. cgemv_("No transpose", &i__3, &i__4, &q__1, &a[j + (k + 1) *
  1129. a_dim1], lda, &w[jj + (kw + 1) * w_dim1], ldw, &c_b1,
  1130. &a[j + jj * a_dim1], &c__1);
  1131. i__3 = jj + jj * a_dim1;
  1132. i__4 = jj + jj * a_dim1;
  1133. r__1 = a[i__4].r;
  1134. a[i__3].r = r__1, a[i__3].i = 0.f;
  1135. /* L40: */
  1136. }
  1137. /* Update the rectangular superdiagonal block */
  1138. if (j >= 2) {
  1139. i__2 = j - 1;
  1140. i__3 = *n - k;
  1141. q__1.r = -1.f, q__1.i = 0.f;
  1142. cgemm_("No transpose", "Transpose", &i__2, &jb, &i__3, &q__1,
  1143. &a[(k + 1) * a_dim1 + 1], lda, &w[j + (kw + 1) *
  1144. w_dim1], ldw, &c_b1, &a[j * a_dim1 + 1], lda);
  1145. }
  1146. /* L50: */
  1147. }
  1148. /* Put U12 in standard form by partially undoing the interchanges */
  1149. /* in of rows in columns k+1:n looping backwards from k+1 to n */
  1150. j = k + 1;
  1151. L60:
  1152. /* Undo the interchanges (if any) of rows J and JP2 */
  1153. /* (or J and JP2, and J+1 and JP1) at each step J */
  1154. kstep = 1;
  1155. jp1 = 1;
  1156. /* (Here, J is a diagonal index) */
  1157. jj = j;
  1158. jp2 = ipiv[j];
  1159. if (jp2 < 0) {
  1160. jp2 = -jp2;
  1161. /* (Here, J is a diagonal index) */
  1162. ++j;
  1163. jp1 = -ipiv[j];
  1164. kstep = 2;
  1165. }
  1166. /* (NOTE: Here, J is used to determine row length. Length N-J+1 */
  1167. /* of the rows to swap back doesn't include diagonal element) */
  1168. ++j;
  1169. if (jp2 != jj && j <= *n) {
  1170. i__1 = *n - j + 1;
  1171. cswap_(&i__1, &a[jp2 + j * a_dim1], lda, &a[jj + j * a_dim1], lda)
  1172. ;
  1173. }
  1174. ++jj;
  1175. if (kstep == 2 && jp1 != jj && j <= *n) {
  1176. i__1 = *n - j + 1;
  1177. cswap_(&i__1, &a[jp1 + j * a_dim1], lda, &a[jj + j * a_dim1], lda)
  1178. ;
  1179. }
  1180. if (j < *n) {
  1181. goto L60;
  1182. }
  1183. /* Set KB to the number of columns factorized */
  1184. *kb = *n - k;
  1185. } else {
  1186. /* Factorize the leading columns of A using the lower triangle */
  1187. /* of A and working forwards, and compute the matrix W = L21*D */
  1188. /* for use in updating A22 (note that conjg(W) is actually stored) */
  1189. /* K is the main loop index, increasing from 1 in steps of 1 or 2 */
  1190. k = 1;
  1191. L70:
  1192. /* Exit from loop */
  1193. if (k >= *nb && *nb < *n || k > *n) {
  1194. goto L90;
  1195. }
  1196. kstep = 1;
  1197. p = k;
  1198. /* Copy column K of A to column K of W and update column K of W */
  1199. i__1 = k + k * w_dim1;
  1200. i__2 = k + k * a_dim1;
  1201. r__1 = a[i__2].r;
  1202. w[i__1].r = r__1, w[i__1].i = 0.f;
  1203. if (k < *n) {
  1204. i__1 = *n - k;
  1205. ccopy_(&i__1, &a[k + 1 + k * a_dim1], &c__1, &w[k + 1 + k *
  1206. w_dim1], &c__1);
  1207. }
  1208. if (k > 1) {
  1209. i__1 = *n - k + 1;
  1210. i__2 = k - 1;
  1211. q__1.r = -1.f, q__1.i = 0.f;
  1212. cgemv_("No transpose", &i__1, &i__2, &q__1, &a[k + a_dim1], lda, &
  1213. w[k + w_dim1], ldw, &c_b1, &w[k + k * w_dim1], &c__1);
  1214. i__1 = k + k * w_dim1;
  1215. i__2 = k + k * w_dim1;
  1216. r__1 = w[i__2].r;
  1217. w[i__1].r = r__1, w[i__1].i = 0.f;
  1218. }
  1219. /* Determine rows and columns to be interchanged and whether */
  1220. /* a 1-by-1 or 2-by-2 pivot block will be used */
  1221. i__1 = k + k * w_dim1;
  1222. absakk = (r__1 = w[i__1].r, abs(r__1));
  1223. /* IMAX is the row-index of the largest off-diagonal element in */
  1224. /* column K, and COLMAX is its absolute value. */
  1225. /* Determine both COLMAX and IMAX. */
  1226. if (k < *n) {
  1227. i__1 = *n - k;
  1228. imax = k + icamax_(&i__1, &w[k + 1 + k * w_dim1], &c__1);
  1229. i__1 = imax + k * w_dim1;
  1230. colmax = (r__1 = w[i__1].r, abs(r__1)) + (r__2 = r_imag(&w[imax +
  1231. k * w_dim1]), abs(r__2));
  1232. } else {
  1233. colmax = 0.f;
  1234. }
  1235. if (f2cmax(absakk,colmax) == 0.f) {
  1236. /* Column K is zero or underflow: set INFO and continue */
  1237. if (*info == 0) {
  1238. *info = k;
  1239. }
  1240. kp = k;
  1241. i__1 = k + k * a_dim1;
  1242. i__2 = k + k * w_dim1;
  1243. r__1 = w[i__2].r;
  1244. a[i__1].r = r__1, a[i__1].i = 0.f;
  1245. if (k < *n) {
  1246. i__1 = *n - k;
  1247. ccopy_(&i__1, &w[k + 1 + k * w_dim1], &c__1, &a[k + 1 + k *
  1248. a_dim1], &c__1);
  1249. }
  1250. } else {
  1251. /* ============================================================ */
  1252. /* BEGIN pivot search */
  1253. /* Case(1) */
  1254. /* Equivalent to testing for ABSAKK.GE.ALPHA*COLMAX */
  1255. /* (used to handle NaN and Inf) */
  1256. if (! (absakk < alpha * colmax)) {
  1257. /* no interchange, use 1-by-1 pivot block */
  1258. kp = k;
  1259. } else {
  1260. done = FALSE_;
  1261. /* Loop until pivot found */
  1262. L72:
  1263. /* BEGIN pivot search loop body */
  1264. /* Copy column IMAX to column k+1 of W and update it */
  1265. i__1 = imax - k;
  1266. ccopy_(&i__1, &a[imax + k * a_dim1], lda, &w[k + (k + 1) *
  1267. w_dim1], &c__1);
  1268. i__1 = imax - k;
  1269. clacgv_(&i__1, &w[k + (k + 1) * w_dim1], &c__1);
  1270. i__1 = imax + (k + 1) * w_dim1;
  1271. i__2 = imax + imax * a_dim1;
  1272. r__1 = a[i__2].r;
  1273. w[i__1].r = r__1, w[i__1].i = 0.f;
  1274. if (imax < *n) {
  1275. i__1 = *n - imax;
  1276. ccopy_(&i__1, &a[imax + 1 + imax * a_dim1], &c__1, &w[
  1277. imax + 1 + (k + 1) * w_dim1], &c__1);
  1278. }
  1279. if (k > 1) {
  1280. i__1 = *n - k + 1;
  1281. i__2 = k - 1;
  1282. q__1.r = -1.f, q__1.i = 0.f;
  1283. cgemv_("No transpose", &i__1, &i__2, &q__1, &a[k + a_dim1]
  1284. , lda, &w[imax + w_dim1], ldw, &c_b1, &w[k + (k +
  1285. 1) * w_dim1], &c__1);
  1286. i__1 = imax + (k + 1) * w_dim1;
  1287. i__2 = imax + (k + 1) * w_dim1;
  1288. r__1 = w[i__2].r;
  1289. w[i__1].r = r__1, w[i__1].i = 0.f;
  1290. }
  1291. /* JMAX is the column-index of the largest off-diagonal */
  1292. /* element in row IMAX, and ROWMAX is its absolute value. */
  1293. /* Determine both ROWMAX and JMAX. */
  1294. if (imax != k) {
  1295. i__1 = imax - k;
  1296. jmax = k - 1 + icamax_(&i__1, &w[k + (k + 1) * w_dim1], &
  1297. c__1);
  1298. i__1 = jmax + (k + 1) * w_dim1;
  1299. rowmax = (r__1 = w[i__1].r, abs(r__1)) + (r__2 = r_imag(&
  1300. w[jmax + (k + 1) * w_dim1]), abs(r__2));
  1301. } else {
  1302. rowmax = 0.f;
  1303. }
  1304. if (imax < *n) {
  1305. i__1 = *n - imax;
  1306. itemp = imax + icamax_(&i__1, &w[imax + 1 + (k + 1) *
  1307. w_dim1], &c__1);
  1308. i__1 = itemp + (k + 1) * w_dim1;
  1309. stemp = (r__1 = w[i__1].r, abs(r__1)) + (r__2 = r_imag(&w[
  1310. itemp + (k + 1) * w_dim1]), abs(r__2));
  1311. if (stemp > rowmax) {
  1312. rowmax = stemp;
  1313. jmax = itemp;
  1314. }
  1315. }
  1316. /* Case(2) */
  1317. /* Equivalent to testing for */
  1318. /* ABS( REAL( W( IMAX,K+1 ) ) ).GE.ALPHA*ROWMAX */
  1319. /* (used to handle NaN and Inf) */
  1320. i__1 = imax + (k + 1) * w_dim1;
  1321. if (! ((r__1 = w[i__1].r, abs(r__1)) < alpha * rowmax)) {
  1322. /* interchange rows and columns K and IMAX, */
  1323. /* use 1-by-1 pivot block */
  1324. kp = imax;
  1325. /* copy column K+1 of W to column K of W */
  1326. i__1 = *n - k + 1;
  1327. ccopy_(&i__1, &w[k + (k + 1) * w_dim1], &c__1, &w[k + k *
  1328. w_dim1], &c__1);
  1329. done = TRUE_;
  1330. /* Case(3) */
  1331. /* Equivalent to testing for ROWMAX.EQ.COLMAX, */
  1332. /* (used to handle NaN and Inf) */
  1333. } else if (p == jmax || rowmax <= colmax) {
  1334. /* interchange rows and columns K+1 and IMAX, */
  1335. /* use 2-by-2 pivot block */
  1336. kp = imax;
  1337. kstep = 2;
  1338. done = TRUE_;
  1339. /* Case(4) */
  1340. } else {
  1341. /* Pivot not found: set params and repeat */
  1342. p = imax;
  1343. colmax = rowmax;
  1344. imax = jmax;
  1345. /* Copy updated JMAXth (next IMAXth) column to Kth of W */
  1346. i__1 = *n - k + 1;
  1347. ccopy_(&i__1, &w[k + (k + 1) * w_dim1], &c__1, &w[k + k *
  1348. w_dim1], &c__1);
  1349. }
  1350. /* End pivot search loop body */
  1351. if (! done) {
  1352. goto L72;
  1353. }
  1354. }
  1355. /* END pivot search */
  1356. /* ============================================================ */
  1357. /* KK is the column of A where pivoting step stopped */
  1358. kk = k + kstep - 1;
  1359. /* Interchange rows and columns P and K (only for 2-by-2 pivot). */
  1360. /* Updated column P is already stored in column K of W. */
  1361. if (kstep == 2 && p != k) {
  1362. /* Copy non-updated column KK-1 to column P of submatrix A */
  1363. /* at step K. No need to copy element into columns */
  1364. /* K and K+1 of A for 2-by-2 pivot, since these columns */
  1365. /* will be later overwritten. */
  1366. i__1 = p + p * a_dim1;
  1367. i__2 = k + k * a_dim1;
  1368. r__1 = a[i__2].r;
  1369. a[i__1].r = r__1, a[i__1].i = 0.f;
  1370. i__1 = p - k - 1;
  1371. ccopy_(&i__1, &a[k + 1 + k * a_dim1], &c__1, &a[p + (k + 1) *
  1372. a_dim1], lda);
  1373. i__1 = p - k - 1;
  1374. clacgv_(&i__1, &a[p + (k + 1) * a_dim1], lda);
  1375. if (p < *n) {
  1376. i__1 = *n - p;
  1377. ccopy_(&i__1, &a[p + 1 + k * a_dim1], &c__1, &a[p + 1 + p
  1378. * a_dim1], &c__1);
  1379. }
  1380. /* Interchange rows K and P in first K-1 columns of A */
  1381. /* (columns K and K+1 of A for 2-by-2 pivot will be */
  1382. /* later overwritten). Interchange rows K and P */
  1383. /* in first KK columns of W. */
  1384. if (k > 1) {
  1385. i__1 = k - 1;
  1386. cswap_(&i__1, &a[k + a_dim1], lda, &a[p + a_dim1], lda);
  1387. }
  1388. cswap_(&kk, &w[k + w_dim1], ldw, &w[p + w_dim1], ldw);
  1389. }
  1390. /* Interchange rows and columns KP and KK. */
  1391. /* Updated column KP is already stored in column KK of W. */
  1392. if (kp != kk) {
  1393. /* Copy non-updated column KK to column KP of submatrix A */
  1394. /* at step K. No need to copy element into column K */
  1395. /* (or K and K+1 for 2-by-2 pivot) of A, since these columns */
  1396. /* will be later overwritten. */
  1397. i__1 = kp + kp * a_dim1;
  1398. i__2 = kk + kk * a_dim1;
  1399. r__1 = a[i__2].r;
  1400. a[i__1].r = r__1, a[i__1].i = 0.f;
  1401. i__1 = kp - kk - 1;
  1402. ccopy_(&i__1, &a[kk + 1 + kk * a_dim1], &c__1, &a[kp + (kk +
  1403. 1) * a_dim1], lda);
  1404. i__1 = kp - kk - 1;
  1405. clacgv_(&i__1, &a[kp + (kk + 1) * a_dim1], lda);
  1406. if (kp < *n) {
  1407. i__1 = *n - kp;
  1408. ccopy_(&i__1, &a[kp + 1 + kk * a_dim1], &c__1, &a[kp + 1
  1409. + kp * a_dim1], &c__1);
  1410. }
  1411. /* Interchange rows KK and KP in first K-1 columns of A */
  1412. /* (column K (or K and K+1 for 2-by-2 pivot) of A will be */
  1413. /* later overwritten). Interchange rows KK and KP */
  1414. /* in first KK columns of W. */
  1415. if (k > 1) {
  1416. i__1 = k - 1;
  1417. cswap_(&i__1, &a[kk + a_dim1], lda, &a[kp + a_dim1], lda);
  1418. }
  1419. cswap_(&kk, &w[kk + w_dim1], ldw, &w[kp + w_dim1], ldw);
  1420. }
  1421. if (kstep == 1) {
  1422. /* 1-by-1 pivot block D(k): column k of W now holds */
  1423. /* W(k) = L(k)*D(k), */
  1424. /* where L(k) is the k-th column of L */
  1425. /* (1) Store subdiag. elements of column L(k) */
  1426. /* and 1-by-1 block D(k) in column k of A. */
  1427. /* (NOTE: Diagonal element L(k,k) is a UNIT element */
  1428. /* and not stored) */
  1429. /* A(k,k) := D(k,k) = W(k,k) */
  1430. /* A(k+1:N,k) := L(k+1:N,k) = W(k+1:N,k)/D(k,k) */
  1431. /* (NOTE: No need to use for Hermitian matrix */
  1432. /* A( K, K ) = REAL( W( K, K) ) to separately copy diagonal */
  1433. /* element D(k,k) from W (potentially saves only one load)) */
  1434. i__1 = *n - k + 1;
  1435. ccopy_(&i__1, &w[k + k * w_dim1], &c__1, &a[k + k * a_dim1], &
  1436. c__1);
  1437. if (k < *n) {
  1438. /* (NOTE: No need to check if A(k,k) is NOT ZERO, */
  1439. /* since that was ensured earlier in pivot search: */
  1440. /* case A(k,k) = 0 falls into 2x2 pivot case(3)) */
  1441. /* Handle division by a small number */
  1442. i__1 = k + k * a_dim1;
  1443. t = a[i__1].r;
  1444. if (abs(t) >= sfmin) {
  1445. r1 = 1.f / t;
  1446. i__1 = *n - k;
  1447. csscal_(&i__1, &r1, &a[k + 1 + k * a_dim1], &c__1);
  1448. } else {
  1449. i__1 = *n;
  1450. for (ii = k + 1; ii <= i__1; ++ii) {
  1451. i__2 = ii + k * a_dim1;
  1452. i__3 = ii + k * a_dim1;
  1453. q__1.r = a[i__3].r / t, q__1.i = a[i__3].i / t;
  1454. a[i__2].r = q__1.r, a[i__2].i = q__1.i;
  1455. /* L74: */
  1456. }
  1457. }
  1458. /* (2) Conjugate column W(k) */
  1459. i__1 = *n - k;
  1460. clacgv_(&i__1, &w[k + 1 + k * w_dim1], &c__1);
  1461. }
  1462. } else {
  1463. /* 2-by-2 pivot block D(k): columns k and k+1 of W now hold */
  1464. /* ( W(k) W(k+1) ) = ( L(k) L(k+1) )*D(k) */
  1465. /* where L(k) and L(k+1) are the k-th and (k+1)-th columns */
  1466. /* of L */
  1467. /* (1) Store L(k+2:N,k) and L(k+2:N,k+1) and 2-by-2 */
  1468. /* block D(k:k+1,k:k+1) in columns k and k+1 of A. */
  1469. /* NOTE: 2-by-2 diagonal block L(k:k+1,k:k+1) is a UNIT */
  1470. /* block and not stored. */
  1471. /* A(k:k+1,k:k+1) := D(k:k+1,k:k+1) = W(k:k+1,k:k+1) */
  1472. /* A(k+2:N,k:k+1) := L(k+2:N,k:k+1) = */
  1473. /* = W(k+2:N,k:k+1) * ( D(k:k+1,k:k+1)**(-1) ) */
  1474. if (k < *n - 1) {
  1475. /* Factor out the columns of the inverse of 2-by-2 pivot */
  1476. /* block D, so that each column contains 1, to reduce the */
  1477. /* number of FLOPS when we multiply panel */
  1478. /* ( W(kw-1) W(kw) ) by this inverse, i.e. by D**(-1). */
  1479. /* D**(-1) = ( d11 cj(d21) )**(-1) = */
  1480. /* ( d21 d22 ) */
  1481. /* = 1/(d11*d22-|d21|**2) * ( ( d22) (-cj(d21) ) ) = */
  1482. /* ( (-d21) ( d11 ) ) */
  1483. /* = 1/(|d21|**2) * 1/((d11/cj(d21))*(d22/d21)-1) * */
  1484. /* * ( d21*( d22/d21 ) conj(d21)*( - 1 ) ) = */
  1485. /* ( ( -1 ) ( d11/conj(d21) ) ) */
  1486. /* = 1/(|d21|**2) * 1/(D22*D11-1) * */
  1487. /* * ( d21*( D11 ) conj(d21)*( -1 ) ) = */
  1488. /* ( ( -1 ) ( D22 ) ) */
  1489. /* = (1/|d21|**2) * T * ( d21*( D11 ) conj(d21)*( -1 ) ) = */
  1490. /* ( ( -1 ) ( D22 ) ) */
  1491. /* = ( (T/conj(d21))*( D11 ) (T/d21)*( -1 ) ) = */
  1492. /* ( ( -1 ) ( D22 ) ) */
  1493. /* Handle division by a small number. (NOTE: order of */
  1494. /* operations is important) */
  1495. /* = ( T*(( D11 )/conj(D21)) T*(( -1 )/D21 ) ) */
  1496. /* ( (( -1 ) ) (( D22 ) ) ), */
  1497. /* where D11 = d22/d21, */
  1498. /* D22 = d11/conj(d21), */
  1499. /* D21 = d21, */
  1500. /* T = 1/(D22*D11-1). */
  1501. /* (NOTE: No need to check for division by ZERO, */
  1502. /* since that was ensured earlier in pivot search: */
  1503. /* (a) d21 != 0 in 2x2 pivot case(4), */
  1504. /* since |d21| should be larger than |d11| and |d22|; */
  1505. /* (b) (D22*D11 - 1) != 0, since from (a), */
  1506. /* both |D11| < 1, |D22| < 1, hence |D22*D11| << 1.) */
  1507. i__1 = k + 1 + k * w_dim1;
  1508. d21.r = w[i__1].r, d21.i = w[i__1].i;
  1509. c_div(&q__1, &w[k + 1 + (k + 1) * w_dim1], &d21);
  1510. d11.r = q__1.r, d11.i = q__1.i;
  1511. r_cnjg(&q__2, &d21);
  1512. c_div(&q__1, &w[k + k * w_dim1], &q__2);
  1513. d22.r = q__1.r, d22.i = q__1.i;
  1514. q__1.r = d11.r * d22.r - d11.i * d22.i, q__1.i = d11.r *
  1515. d22.i + d11.i * d22.r;
  1516. t = 1.f / (q__1.r - 1.f);
  1517. /* Update elements in columns A(k) and A(k+1) as */
  1518. /* dot products of rows of ( W(k) W(k+1) ) and columns */
  1519. /* of D**(-1) */
  1520. i__1 = *n;
  1521. for (j = k + 2; j <= i__1; ++j) {
  1522. i__2 = j + k * a_dim1;
  1523. i__3 = j + k * w_dim1;
  1524. q__4.r = d11.r * w[i__3].r - d11.i * w[i__3].i,
  1525. q__4.i = d11.r * w[i__3].i + d11.i * w[i__3]
  1526. .r;
  1527. i__4 = j + (k + 1) * w_dim1;
  1528. q__3.r = q__4.r - w[i__4].r, q__3.i = q__4.i - w[i__4]
  1529. .i;
  1530. r_cnjg(&q__5, &d21);
  1531. c_div(&q__2, &q__3, &q__5);
  1532. q__1.r = t * q__2.r, q__1.i = t * q__2.i;
  1533. a[i__2].r = q__1.r, a[i__2].i = q__1.i;
  1534. i__2 = j + (k + 1) * a_dim1;
  1535. i__3 = j + (k + 1) * w_dim1;
  1536. q__4.r = d22.r * w[i__3].r - d22.i * w[i__3].i,
  1537. q__4.i = d22.r * w[i__3].i + d22.i * w[i__3]
  1538. .r;
  1539. i__4 = j + k * w_dim1;
  1540. q__3.r = q__4.r - w[i__4].r, q__3.i = q__4.i - w[i__4]
  1541. .i;
  1542. c_div(&q__2, &q__3, &d21);
  1543. q__1.r = t * q__2.r, q__1.i = t * q__2.i;
  1544. a[i__2].r = q__1.r, a[i__2].i = q__1.i;
  1545. /* L80: */
  1546. }
  1547. }
  1548. /* Copy D(k) to A */
  1549. i__1 = k + k * a_dim1;
  1550. i__2 = k + k * w_dim1;
  1551. a[i__1].r = w[i__2].r, a[i__1].i = w[i__2].i;
  1552. i__1 = k + 1 + k * a_dim1;
  1553. i__2 = k + 1 + k * w_dim1;
  1554. a[i__1].r = w[i__2].r, a[i__1].i = w[i__2].i;
  1555. i__1 = k + 1 + (k + 1) * a_dim1;
  1556. i__2 = k + 1 + (k + 1) * w_dim1;
  1557. a[i__1].r = w[i__2].r, a[i__1].i = w[i__2].i;
  1558. /* (2) Conjugate columns W(k) and W(k+1) */
  1559. i__1 = *n - k;
  1560. clacgv_(&i__1, &w[k + 1 + k * w_dim1], &c__1);
  1561. i__1 = *n - k - 1;
  1562. clacgv_(&i__1, &w[k + 2 + (k + 1) * w_dim1], &c__1);
  1563. }
  1564. }
  1565. /* Store details of the interchanges in IPIV */
  1566. if (kstep == 1) {
  1567. ipiv[k] = kp;
  1568. } else {
  1569. ipiv[k] = -p;
  1570. ipiv[k + 1] = -kp;
  1571. }
  1572. /* Increase K and return to the start of the main loop */
  1573. k += kstep;
  1574. goto L70;
  1575. L90:
  1576. /* Update the lower triangle of A22 (= A(k:n,k:n)) as */
  1577. /* A22 := A22 - L21*D*L21**H = A22 - L21*W**H */
  1578. /* computing blocks of NB columns at a time (note that conjg(W) is */
  1579. /* actually stored) */
  1580. i__1 = *n;
  1581. i__2 = *nb;
  1582. for (j = k; i__2 < 0 ? j >= i__1 : j <= i__1; j += i__2) {
  1583. /* Computing MIN */
  1584. i__3 = *nb, i__4 = *n - j + 1;
  1585. jb = f2cmin(i__3,i__4);
  1586. /* Update the lower triangle of the diagonal block */
  1587. i__3 = j + jb - 1;
  1588. for (jj = j; jj <= i__3; ++jj) {
  1589. i__4 = jj + jj * a_dim1;
  1590. i__5 = jj + jj * a_dim1;
  1591. r__1 = a[i__5].r;
  1592. a[i__4].r = r__1, a[i__4].i = 0.f;
  1593. i__4 = j + jb - jj;
  1594. i__5 = k - 1;
  1595. q__1.r = -1.f, q__1.i = 0.f;
  1596. cgemv_("No transpose", &i__4, &i__5, &q__1, &a[jj + a_dim1],
  1597. lda, &w[jj + w_dim1], ldw, &c_b1, &a[jj + jj * a_dim1]
  1598. , &c__1);
  1599. i__4 = jj + jj * a_dim1;
  1600. i__5 = jj + jj * a_dim1;
  1601. r__1 = a[i__5].r;
  1602. a[i__4].r = r__1, a[i__4].i = 0.f;
  1603. /* L100: */
  1604. }
  1605. /* Update the rectangular subdiagonal block */
  1606. if (j + jb <= *n) {
  1607. i__3 = *n - j - jb + 1;
  1608. i__4 = k - 1;
  1609. q__1.r = -1.f, q__1.i = 0.f;
  1610. cgemm_("No transpose", "Transpose", &i__3, &jb, &i__4, &q__1,
  1611. &a[j + jb + a_dim1], lda, &w[j + w_dim1], ldw, &c_b1,
  1612. &a[j + jb + j * a_dim1], lda);
  1613. }
  1614. /* L110: */
  1615. }
  1616. /* Put L21 in standard form by partially undoing the interchanges */
  1617. /* of rows in columns 1:k-1 looping backwards from k-1 to 1 */
  1618. j = k - 1;
  1619. L120:
  1620. /* Undo the interchanges (if any) of rows J and JP2 */
  1621. /* (or J and JP2, and J-1 and JP1) at each step J */
  1622. kstep = 1;
  1623. jp1 = 1;
  1624. /* (Here, J is a diagonal index) */
  1625. jj = j;
  1626. jp2 = ipiv[j];
  1627. if (jp2 < 0) {
  1628. jp2 = -jp2;
  1629. /* (Here, J is a diagonal index) */
  1630. --j;
  1631. jp1 = -ipiv[j];
  1632. kstep = 2;
  1633. }
  1634. /* (NOTE: Here, J is used to determine row length. Length J */
  1635. /* of the rows to swap back doesn't include diagonal element) */
  1636. --j;
  1637. if (jp2 != jj && j >= 1) {
  1638. cswap_(&j, &a[jp2 + a_dim1], lda, &a[jj + a_dim1], lda);
  1639. }
  1640. --jj;
  1641. if (kstep == 2 && jp1 != jj && j >= 1) {
  1642. cswap_(&j, &a[jp1 + a_dim1], lda, &a[jj + a_dim1], lda);
  1643. }
  1644. if (j > 1) {
  1645. goto L120;
  1646. }
  1647. /* Set KB to the number of columns factorized */
  1648. *kb = k - 1;
  1649. }
  1650. return;
  1651. /* End of CLAHEF_ROOK */
  1652. } /* clahef_rook__ */