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clahef.c 52 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 computes a partial factorization of a complex Hermitian indefinite matrix using the Bunc
  487. h-Kaufman 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 + dependencies */
  493. /* > <a href="http://www.netlib.org/cgi-bin/netlibfiles.tgz?format=tgz&filename=/lapack/lapack_routine/clahef.
  494. f"> */
  495. /* > [TGZ]</a> */
  496. /* > <a href="http://www.netlib.org/cgi-bin/netlibfiles.zip?format=zip&filename=/lapack/lapack_routine/clahef.
  497. f"> */
  498. /* > [ZIP]</a> */
  499. /* > <a href="http://www.netlib.org/cgi-bin/netlibfiles.txt?format=txt&filename=/lapack/lapack_routine/clahef.
  500. f"> */
  501. /* > [TXT]</a> */
  502. /* > \endhtmlonly */
  503. /* Definition: */
  504. /* =========== */
  505. /* SUBROUTINE CLAHEF( 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 computes a partial factorization of a complex Hermitian */
  516. /* > matrix A using the Bunch-Kaufman diagonal pivoting method. The */
  517. /* > 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 is an auxiliary routine called by CHETRF. It uses blocked code */
  530. /* > (calling Level 3 BLAS) to update the submatrix A11 (if UPLO = 'U') or */
  531. /* > 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) = IPIV(k-1) < 0, then rows and columns */
  596. /* > k-1 and -IPIV(k) were interchanged and D(k-1:k,k-1:k) */
  597. /* > is a 2-by-2 diagonal block. */
  598. /* > */
  599. /* > If UPLO = 'L': */
  600. /* > Only the first KB elements of IPIV are set. */
  601. /* > */
  602. /* > If IPIV(k) > 0, then rows and columns k and IPIV(k) were */
  603. /* > interchanged and D(k,k) is a 1-by-1 diagonal block. */
  604. /* > */
  605. /* > If IPIV(k) = IPIV(k+1) < 0, then rows and columns */
  606. /* > k+1 and -IPIV(k) were interchanged and D(k:k+1,k:k+1) */
  607. /* > is a 2-by-2 diagonal block. */
  608. /* > \endverbatim */
  609. /* > */
  610. /* > \param[out] W */
  611. /* > \verbatim */
  612. /* > W is COMPLEX array, dimension (LDW,NB) */
  613. /* > \endverbatim */
  614. /* > */
  615. /* > \param[in] LDW */
  616. /* > \verbatim */
  617. /* > LDW is INTEGER */
  618. /* > The leading dimension of the array W. LDW >= f2cmax(1,N). */
  619. /* > \endverbatim */
  620. /* > */
  621. /* > \param[out] INFO */
  622. /* > \verbatim */
  623. /* > INFO is INTEGER */
  624. /* > = 0: successful exit */
  625. /* > > 0: if INFO = k, D(k,k) is exactly zero. The factorization */
  626. /* > has been completed, but the block diagonal matrix D is */
  627. /* > exactly singular. */
  628. /* > \endverbatim */
  629. /* Authors: */
  630. /* ======== */
  631. /* > \author Univ. of Tennessee */
  632. /* > \author Univ. of California Berkeley */
  633. /* > \author Univ. of Colorado Denver */
  634. /* > \author NAG Ltd. */
  635. /* > \date November 2013 */
  636. /* > \ingroup complexHEcomputational */
  637. /* > \par Contributors: */
  638. /* ================== */
  639. /* > */
  640. /* > \verbatim */
  641. /* > */
  642. /* > November 2013, Igor Kozachenko, */
  643. /* > Computer Science Division, */
  644. /* > University of California, Berkeley */
  645. /* > \endverbatim */
  646. /* ===================================================================== */
  647. /* Subroutine */ void clahef_(char *uplo, integer *n, integer *nb, integer *kb,
  648. complex *a, integer *lda, integer *ipiv, complex *w, integer *ldw,
  649. integer *info)
  650. {
  651. /* System generated locals */
  652. integer a_dim1, a_offset, w_dim1, w_offset, i__1, i__2, i__3, i__4, i__5;
  653. real r__1, r__2, r__3, r__4;
  654. complex q__1, q__2, q__3, q__4;
  655. /* Local variables */
  656. integer imax, jmax, j, k;
  657. real t, alpha;
  658. extern /* Subroutine */ void cgemm_(char *, char *, integer *, integer *,
  659. integer *, complex *, complex *, integer *, complex *, integer *,
  660. complex *, complex *, integer *);
  661. extern logical lsame_(char *, char *);
  662. extern /* Subroutine */ void cgemv_(char *, integer *, integer *, complex *
  663. , complex *, integer *, complex *, integer *, complex *, complex *
  664. , integer *), ccopy_(integer *, complex *, integer *,
  665. complex *, integer *), cswap_(integer *, complex *, integer *,
  666. complex *, integer *);
  667. integer kstep;
  668. real r1;
  669. complex d11, d21, d22;
  670. integer jb, jj, kk, jp, kp;
  671. real absakk;
  672. extern /* Subroutine */ void clacgv_(integer *, complex *, integer *);
  673. integer kw;
  674. extern integer icamax_(integer *, complex *, integer *);
  675. extern /* Subroutine */ void csscal_(integer *, real *, complex *, integer
  676. *);
  677. real colmax, rowmax;
  678. integer kkw;
  679. /* -- LAPACK computational routine (version 3.5.0) -- */
  680. /* -- LAPACK is a software package provided by Univ. of Tennessee, -- */
  681. /* -- Univ. of California Berkeley, Univ. of Colorado Denver and NAG Ltd..-- */
  682. /* November 2013 */
  683. /* ===================================================================== */
  684. /* Parameter adjustments */
  685. a_dim1 = *lda;
  686. a_offset = 1 + a_dim1 * 1;
  687. a -= a_offset;
  688. --ipiv;
  689. w_dim1 = *ldw;
  690. w_offset = 1 + w_dim1 * 1;
  691. w -= w_offset;
  692. /* Function Body */
  693. *info = 0;
  694. /* Initialize ALPHA for use in choosing pivot block size. */
  695. alpha = (sqrt(17.f) + 1.f) / 8.f;
  696. if (lsame_(uplo, "U")) {
  697. /* Factorize the trailing columns of A using the upper triangle */
  698. /* of A and working backwards, and compute the matrix W = U12*D */
  699. /* for use in updating A11 (note that conjg(W) is actually stored) */
  700. /* K is the main loop index, decreasing from N in steps of 1 or 2 */
  701. k = *n;
  702. L10:
  703. /* KW is the column of W which corresponds to column K of A */
  704. kw = *nb + k - *n;
  705. /* Exit from loop */
  706. if (k <= *n - *nb + 1 && *nb < *n || k < 1) {
  707. goto L30;
  708. }
  709. kstep = 1;
  710. /* Copy column K of A to column KW of W and update it */
  711. i__1 = k - 1;
  712. ccopy_(&i__1, &a[k * a_dim1 + 1], &c__1, &w[kw * w_dim1 + 1], &c__1);
  713. i__1 = k + kw * w_dim1;
  714. i__2 = k + k * a_dim1;
  715. r__1 = a[i__2].r;
  716. w[i__1].r = r__1, w[i__1].i = 0.f;
  717. if (k < *n) {
  718. i__1 = *n - k;
  719. q__1.r = -1.f, q__1.i = 0.f;
  720. cgemv_("No transpose", &k, &i__1, &q__1, &a[(k + 1) * a_dim1 + 1],
  721. lda, &w[k + (kw + 1) * w_dim1], ldw, &c_b1, &w[kw *
  722. w_dim1 + 1], &c__1);
  723. i__1 = k + kw * w_dim1;
  724. i__2 = k + kw * w_dim1;
  725. r__1 = w[i__2].r;
  726. w[i__1].r = r__1, w[i__1].i = 0.f;
  727. }
  728. /* Determine rows and columns to be interchanged and whether */
  729. /* a 1-by-1 or 2-by-2 pivot block will be used */
  730. i__1 = k + kw * w_dim1;
  731. absakk = (r__1 = w[i__1].r, abs(r__1));
  732. /* IMAX is the row-index of the largest off-diagonal element in */
  733. /* column K, and COLMAX is its absolute value. */
  734. /* Determine both COLMAX and IMAX. */
  735. if (k > 1) {
  736. i__1 = k - 1;
  737. imax = icamax_(&i__1, &w[kw * w_dim1 + 1], &c__1);
  738. i__1 = imax + kw * w_dim1;
  739. colmax = (r__1 = w[i__1].r, abs(r__1)) + (r__2 = r_imag(&w[imax +
  740. kw * w_dim1]), abs(r__2));
  741. } else {
  742. colmax = 0.f;
  743. }
  744. if (f2cmax(absakk,colmax) == 0.f) {
  745. /* Column K is zero or underflow: set INFO and continue */
  746. if (*info == 0) {
  747. *info = k;
  748. }
  749. kp = k;
  750. i__1 = k + k * a_dim1;
  751. i__2 = k + k * a_dim1;
  752. r__1 = a[i__2].r;
  753. a[i__1].r = r__1, a[i__1].i = 0.f;
  754. } else {
  755. /* ============================================================ */
  756. /* BEGIN pivot search */
  757. /* Case(1) */
  758. if (absakk >= alpha * colmax) {
  759. /* no interchange, use 1-by-1 pivot block */
  760. kp = k;
  761. } else {
  762. /* BEGIN pivot search along IMAX row */
  763. /* Copy column IMAX to column KW-1 of W and update it */
  764. i__1 = imax - 1;
  765. ccopy_(&i__1, &a[imax * a_dim1 + 1], &c__1, &w[(kw - 1) *
  766. w_dim1 + 1], &c__1);
  767. i__1 = imax + (kw - 1) * w_dim1;
  768. i__2 = imax + imax * a_dim1;
  769. r__1 = a[i__2].r;
  770. w[i__1].r = r__1, w[i__1].i = 0.f;
  771. i__1 = k - imax;
  772. ccopy_(&i__1, &a[imax + (imax + 1) * a_dim1], lda, &w[imax +
  773. 1 + (kw - 1) * w_dim1], &c__1);
  774. i__1 = k - imax;
  775. clacgv_(&i__1, &w[imax + 1 + (kw - 1) * w_dim1], &c__1);
  776. if (k < *n) {
  777. i__1 = *n - k;
  778. q__1.r = -1.f, q__1.i = 0.f;
  779. cgemv_("No transpose", &k, &i__1, &q__1, &a[(k + 1) *
  780. a_dim1 + 1], lda, &w[imax + (kw + 1) * w_dim1],
  781. ldw, &c_b1, &w[(kw - 1) * w_dim1 + 1], &c__1);
  782. i__1 = imax + (kw - 1) * w_dim1;
  783. i__2 = imax + (kw - 1) * w_dim1;
  784. r__1 = w[i__2].r;
  785. w[i__1].r = r__1, w[i__1].i = 0.f;
  786. }
  787. /* JMAX is the column-index of the largest off-diagonal */
  788. /* element in row IMAX, and ROWMAX is its absolute value. */
  789. /* Determine only ROWMAX. */
  790. i__1 = k - imax;
  791. jmax = imax + icamax_(&i__1, &w[imax + 1 + (kw - 1) * w_dim1],
  792. &c__1);
  793. i__1 = jmax + (kw - 1) * w_dim1;
  794. rowmax = (r__1 = w[i__1].r, abs(r__1)) + (r__2 = r_imag(&w[
  795. jmax + (kw - 1) * w_dim1]), abs(r__2));
  796. if (imax > 1) {
  797. i__1 = imax - 1;
  798. jmax = icamax_(&i__1, &w[(kw - 1) * w_dim1 + 1], &c__1);
  799. /* Computing MAX */
  800. i__1 = jmax + (kw - 1) * w_dim1;
  801. r__3 = rowmax, r__4 = (r__1 = w[i__1].r, abs(r__1)) + (
  802. r__2 = r_imag(&w[jmax + (kw - 1) * w_dim1]), abs(
  803. r__2));
  804. rowmax = f2cmax(r__3,r__4);
  805. }
  806. /* Case(2) */
  807. if (absakk >= alpha * colmax * (colmax / rowmax)) {
  808. /* no interchange, use 1-by-1 pivot block */
  809. kp = k;
  810. /* Case(3) */
  811. } else /* if(complicated condition) */ {
  812. i__1 = imax + (kw - 1) * w_dim1;
  813. if ((r__1 = w[i__1].r, abs(r__1)) >= alpha * rowmax) {
  814. /* interchange rows and columns K and IMAX, use 1-by-1 */
  815. /* pivot block */
  816. kp = imax;
  817. /* copy column KW-1 of W to column KW of W */
  818. ccopy_(&k, &w[(kw - 1) * w_dim1 + 1], &c__1, &w[kw *
  819. w_dim1 + 1], &c__1);
  820. /* Case(4) */
  821. } else {
  822. /* interchange rows and columns K-1 and IMAX, use 2-by-2 */
  823. /* pivot block */
  824. kp = imax;
  825. kstep = 2;
  826. }
  827. }
  828. /* END pivot search along IMAX row */
  829. }
  830. /* END pivot search */
  831. /* ============================================================ */
  832. /* KK is the column of A where pivoting step stopped */
  833. kk = k - kstep + 1;
  834. /* KKW is the column of W which corresponds to column KK of A */
  835. kkw = *nb + kk - *n;
  836. /* Interchange rows and columns KP and KK. */
  837. /* Updated column KP is already stored in column KKW of W. */
  838. if (kp != kk) {
  839. /* Copy non-updated column KK to column KP of submatrix A */
  840. /* at step K. No need to copy element into column K */
  841. /* (or K and K-1 for 2-by-2 pivot) of A, since these columns */
  842. /* will be later overwritten. */
  843. i__1 = kp + kp * a_dim1;
  844. i__2 = kk + kk * a_dim1;
  845. r__1 = a[i__2].r;
  846. a[i__1].r = r__1, a[i__1].i = 0.f;
  847. i__1 = kk - 1 - kp;
  848. ccopy_(&i__1, &a[kp + 1 + kk * a_dim1], &c__1, &a[kp + (kp +
  849. 1) * a_dim1], lda);
  850. i__1 = kk - 1 - kp;
  851. clacgv_(&i__1, &a[kp + (kp + 1) * a_dim1], lda);
  852. if (kp > 1) {
  853. i__1 = kp - 1;
  854. ccopy_(&i__1, &a[kk * a_dim1 + 1], &c__1, &a[kp * a_dim1
  855. + 1], &c__1);
  856. }
  857. /* Interchange rows KK and KP in last K+1 to N columns of A */
  858. /* (columns K (or K and K-1 for 2-by-2 pivot) of A will be */
  859. /* later overwritten). Interchange rows KK and KP */
  860. /* in last KKW to NB columns of W. */
  861. if (k < *n) {
  862. i__1 = *n - k;
  863. cswap_(&i__1, &a[kk + (k + 1) * a_dim1], lda, &a[kp + (k
  864. + 1) * a_dim1], lda);
  865. }
  866. i__1 = *n - kk + 1;
  867. cswap_(&i__1, &w[kk + kkw * w_dim1], ldw, &w[kp + kkw *
  868. w_dim1], ldw);
  869. }
  870. if (kstep == 1) {
  871. /* 1-by-1 pivot block D(k): column kw of W now holds */
  872. /* W(kw) = U(k)*D(k), */
  873. /* where U(k) is the k-th column of U */
  874. /* (1) Store subdiag. elements of column U(k) */
  875. /* and 1-by-1 block D(k) in column k of A. */
  876. /* (NOTE: Diagonal element U(k,k) is a UNIT element */
  877. /* and not stored) */
  878. /* A(k,k) := D(k,k) = W(k,kw) */
  879. /* A(1:k-1,k) := U(1:k-1,k) = W(1:k-1,kw)/D(k,k) */
  880. /* (NOTE: No need to use for Hermitian matrix */
  881. /* A( K, K ) = DBLE( W( K, K) ) to separately copy diagonal */
  882. /* element D(k,k) from W (potentially saves only one load)) */
  883. ccopy_(&k, &w[kw * w_dim1 + 1], &c__1, &a[k * a_dim1 + 1], &
  884. c__1);
  885. if (k > 1) {
  886. /* (NOTE: No need to check if A(k,k) is NOT ZERO, */
  887. /* since that was ensured earlier in pivot search: */
  888. /* case A(k,k) = 0 falls into 2x2 pivot case(4)) */
  889. i__1 = k + k * a_dim1;
  890. r1 = 1.f / a[i__1].r;
  891. i__1 = k - 1;
  892. csscal_(&i__1, &r1, &a[k * a_dim1 + 1], &c__1);
  893. /* (2) Conjugate column W(kw) */
  894. i__1 = k - 1;
  895. clacgv_(&i__1, &w[kw * w_dim1 + 1], &c__1);
  896. }
  897. } else {
  898. /* 2-by-2 pivot block D(k): columns kw and kw-1 of W now hold */
  899. /* ( W(kw-1) W(kw) ) = ( U(k-1) U(k) )*D(k) */
  900. /* where U(k) and U(k-1) are the k-th and (k-1)-th columns */
  901. /* of U */
  902. /* (1) Store U(1:k-2,k-1) and U(1:k-2,k) and 2-by-2 */
  903. /* block D(k-1:k,k-1:k) in columns k-1 and k of A. */
  904. /* (NOTE: 2-by-2 diagonal block U(k-1:k,k-1:k) is a UNIT */
  905. /* block and not stored) */
  906. /* A(k-1:k,k-1:k) := D(k-1:k,k-1:k) = W(k-1:k,kw-1:kw) */
  907. /* A(1:k-2,k-1:k) := U(1:k-2,k:k-1:k) = */
  908. /* = W(1:k-2,kw-1:kw) * ( D(k-1:k,k-1:k)**(-1) ) */
  909. if (k > 2) {
  910. /* Factor out the columns of the inverse of 2-by-2 pivot */
  911. /* block D, so that each column contains 1, to reduce the */
  912. /* number of FLOPS when we multiply panel */
  913. /* ( W(kw-1) W(kw) ) by this inverse, i.e. by D**(-1). */
  914. /* D**(-1) = ( d11 cj(d21) )**(-1) = */
  915. /* ( d21 d22 ) */
  916. /* = 1/(d11*d22-|d21|**2) * ( ( d22) (-cj(d21) ) ) = */
  917. /* ( (-d21) ( d11 ) ) */
  918. /* = 1/(|d21|**2) * 1/((d11/cj(d21))*(d22/d21)-1) * */
  919. /* * ( d21*( d22/d21 ) conj(d21)*( - 1 ) ) = */
  920. /* ( ( -1 ) ( d11/conj(d21) ) ) */
  921. /* = 1/(|d21|**2) * 1/(D22*D11-1) * */
  922. /* * ( d21*( D11 ) conj(d21)*( -1 ) ) = */
  923. /* ( ( -1 ) ( D22 ) ) */
  924. /* = (1/|d21|**2) * T * ( d21*( D11 ) conj(d21)*( -1 ) ) = */
  925. /* ( ( -1 ) ( D22 ) ) */
  926. /* = ( (T/conj(d21))*( D11 ) (T/d21)*( -1 ) ) = */
  927. /* ( ( -1 ) ( D22 ) ) */
  928. /* = ( conj(D21)*( D11 ) D21*( -1 ) ) */
  929. /* ( ( -1 ) ( D22 ) ), */
  930. /* where D11 = d22/d21, */
  931. /* D22 = d11/conj(d21), */
  932. /* D21 = T/d21, */
  933. /* T = 1/(D22*D11-1). */
  934. /* (NOTE: No need to check for division by ZERO, */
  935. /* since that was ensured earlier in pivot search: */
  936. /* (a) d21 != 0, since in 2x2 pivot case(4) */
  937. /* |d21| should be larger than |d11| and |d22|; */
  938. /* (b) (D22*D11 - 1) != 0, since from (a), */
  939. /* both |D11| < 1, |D22| < 1, hence |D22*D11| << 1.) */
  940. i__1 = k - 1 + kw * w_dim1;
  941. d21.r = w[i__1].r, d21.i = w[i__1].i;
  942. r_cnjg(&q__2, &d21);
  943. c_div(&q__1, &w[k + kw * w_dim1], &q__2);
  944. d11.r = q__1.r, d11.i = q__1.i;
  945. c_div(&q__1, &w[k - 1 + (kw - 1) * w_dim1], &d21);
  946. d22.r = q__1.r, d22.i = q__1.i;
  947. q__1.r = d11.r * d22.r - d11.i * d22.i, q__1.i = d11.r *
  948. d22.i + d11.i * d22.r;
  949. t = 1.f / (q__1.r - 1.f);
  950. q__2.r = t, q__2.i = 0.f;
  951. c_div(&q__1, &q__2, &d21);
  952. d21.r = q__1.r, d21.i = q__1.i;
  953. /* Update elements in columns A(k-1) and A(k) as */
  954. /* dot products of rows of ( W(kw-1) W(kw) ) and columns */
  955. /* of D**(-1) */
  956. i__1 = k - 2;
  957. for (j = 1; j <= i__1; ++j) {
  958. i__2 = j + (k - 1) * a_dim1;
  959. i__3 = j + (kw - 1) * w_dim1;
  960. q__3.r = d11.r * w[i__3].r - d11.i * w[i__3].i,
  961. q__3.i = d11.r * w[i__3].i + d11.i * w[i__3]
  962. .r;
  963. i__4 = j + kw * w_dim1;
  964. q__2.r = q__3.r - w[i__4].r, q__2.i = q__3.i - w[i__4]
  965. .i;
  966. q__1.r = d21.r * q__2.r - d21.i * q__2.i, q__1.i =
  967. d21.r * q__2.i + d21.i * q__2.r;
  968. a[i__2].r = q__1.r, a[i__2].i = q__1.i;
  969. i__2 = j + k * a_dim1;
  970. r_cnjg(&q__2, &d21);
  971. i__3 = j + kw * w_dim1;
  972. q__4.r = d22.r * w[i__3].r - d22.i * w[i__3].i,
  973. q__4.i = d22.r * w[i__3].i + d22.i * w[i__3]
  974. .r;
  975. i__4 = j + (kw - 1) * w_dim1;
  976. q__3.r = q__4.r - w[i__4].r, q__3.i = q__4.i - w[i__4]
  977. .i;
  978. q__1.r = q__2.r * q__3.r - q__2.i * q__3.i, q__1.i =
  979. q__2.r * q__3.i + q__2.i * q__3.r;
  980. a[i__2].r = q__1.r, a[i__2].i = q__1.i;
  981. /* L20: */
  982. }
  983. }
  984. /* Copy D(k) to A */
  985. i__1 = k - 1 + (k - 1) * a_dim1;
  986. i__2 = k - 1 + (kw - 1) * w_dim1;
  987. a[i__1].r = w[i__2].r, a[i__1].i = w[i__2].i;
  988. i__1 = k - 1 + k * a_dim1;
  989. i__2 = k - 1 + kw * w_dim1;
  990. a[i__1].r = w[i__2].r, a[i__1].i = w[i__2].i;
  991. i__1 = k + k * a_dim1;
  992. i__2 = k + kw * w_dim1;
  993. a[i__1].r = w[i__2].r, a[i__1].i = w[i__2].i;
  994. /* (2) Conjugate columns W(kw) and W(kw-1) */
  995. i__1 = k - 1;
  996. clacgv_(&i__1, &w[kw * w_dim1 + 1], &c__1);
  997. i__1 = k - 2;
  998. clacgv_(&i__1, &w[(kw - 1) * w_dim1 + 1], &c__1);
  999. }
  1000. }
  1001. /* Store details of the interchanges in IPIV */
  1002. if (kstep == 1) {
  1003. ipiv[k] = kp;
  1004. } else {
  1005. ipiv[k] = -kp;
  1006. ipiv[k - 1] = -kp;
  1007. }
  1008. /* Decrease K and return to the start of the main loop */
  1009. k -= kstep;
  1010. goto L10;
  1011. L30:
  1012. /* Update the upper triangle of A11 (= A(1:k,1:k)) as */
  1013. /* A11 := A11 - U12*D*U12**H = A11 - U12*W**H */
  1014. /* computing blocks of NB columns at a time (note that conjg(W) is */
  1015. /* actually stored) */
  1016. i__1 = -(*nb);
  1017. for (j = (k - 1) / *nb * *nb + 1; i__1 < 0 ? j >= 1 : j <= 1; j +=
  1018. i__1) {
  1019. /* Computing MIN */
  1020. i__2 = *nb, i__3 = k - j + 1;
  1021. jb = f2cmin(i__2,i__3);
  1022. /* Update the upper triangle of the diagonal block */
  1023. i__2 = j + jb - 1;
  1024. for (jj = j; jj <= i__2; ++jj) {
  1025. i__3 = jj + jj * a_dim1;
  1026. i__4 = jj + jj * a_dim1;
  1027. r__1 = a[i__4].r;
  1028. a[i__3].r = r__1, a[i__3].i = 0.f;
  1029. i__3 = jj - j + 1;
  1030. i__4 = *n - k;
  1031. q__1.r = -1.f, q__1.i = 0.f;
  1032. cgemv_("No transpose", &i__3, &i__4, &q__1, &a[j + (k + 1) *
  1033. a_dim1], lda, &w[jj + (kw + 1) * w_dim1], ldw, &c_b1,
  1034. &a[j + jj * a_dim1], &c__1);
  1035. i__3 = jj + jj * a_dim1;
  1036. i__4 = jj + jj * a_dim1;
  1037. r__1 = a[i__4].r;
  1038. a[i__3].r = r__1, a[i__3].i = 0.f;
  1039. /* L40: */
  1040. }
  1041. /* Update the rectangular superdiagonal block */
  1042. i__2 = j - 1;
  1043. i__3 = *n - k;
  1044. q__1.r = -1.f, q__1.i = 0.f;
  1045. cgemm_("No transpose", "Transpose", &i__2, &jb, &i__3, &q__1, &a[(
  1046. k + 1) * a_dim1 + 1], lda, &w[j + (kw + 1) * w_dim1], ldw,
  1047. &c_b1, &a[j * a_dim1 + 1], lda);
  1048. /* L50: */
  1049. }
  1050. /* Put U12 in standard form by partially undoing the interchanges */
  1051. /* in of rows in columns k+1:n looping backwards from k+1 to n */
  1052. j = k + 1;
  1053. L60:
  1054. /* Undo the interchanges (if any) of rows J and JP */
  1055. /* at each step J */
  1056. /* (Here, J is a diagonal index) */
  1057. jj = j;
  1058. jp = ipiv[j];
  1059. if (jp < 0) {
  1060. jp = -jp;
  1061. /* (Here, J is a diagonal index) */
  1062. ++j;
  1063. }
  1064. /* (NOTE: Here, J is used to determine row length. Length N-J+1 */
  1065. /* of the rows to swap back doesn't include diagonal element) */
  1066. ++j;
  1067. if (jp != jj && j <= *n) {
  1068. i__1 = *n - j + 1;
  1069. cswap_(&i__1, &a[jp + j * a_dim1], lda, &a[jj + j * a_dim1], lda);
  1070. }
  1071. if (j <= *n) {
  1072. goto L60;
  1073. }
  1074. /* Set KB to the number of columns factorized */
  1075. *kb = *n - k;
  1076. } else {
  1077. /* Factorize the leading columns of A using the lower triangle */
  1078. /* of A and working forwards, and compute the matrix W = L21*D */
  1079. /* for use in updating A22 (note that conjg(W) is actually stored) */
  1080. /* K is the main loop index, increasing from 1 in steps of 1 or 2 */
  1081. k = 1;
  1082. L70:
  1083. /* Exit from loop */
  1084. if (k >= *nb && *nb < *n || k > *n) {
  1085. goto L90;
  1086. }
  1087. kstep = 1;
  1088. /* Copy column K of A to column K of W and update it */
  1089. i__1 = k + k * w_dim1;
  1090. i__2 = k + k * a_dim1;
  1091. r__1 = a[i__2].r;
  1092. w[i__1].r = r__1, w[i__1].i = 0.f;
  1093. if (k < *n) {
  1094. i__1 = *n - k;
  1095. ccopy_(&i__1, &a[k + 1 + k * a_dim1], &c__1, &w[k + 1 + k *
  1096. w_dim1], &c__1);
  1097. }
  1098. i__1 = *n - k + 1;
  1099. i__2 = k - 1;
  1100. q__1.r = -1.f, q__1.i = 0.f;
  1101. cgemv_("No transpose", &i__1, &i__2, &q__1, &a[k + a_dim1], lda, &w[k
  1102. + w_dim1], ldw, &c_b1, &w[k + k * w_dim1], &c__1);
  1103. i__1 = k + k * w_dim1;
  1104. i__2 = k + k * w_dim1;
  1105. r__1 = w[i__2].r;
  1106. w[i__1].r = r__1, w[i__1].i = 0.f;
  1107. /* Determine rows and columns to be interchanged and whether */
  1108. /* a 1-by-1 or 2-by-2 pivot block will be used */
  1109. i__1 = k + k * w_dim1;
  1110. absakk = (r__1 = w[i__1].r, abs(r__1));
  1111. /* IMAX is the row-index of the largest off-diagonal element in */
  1112. /* column K, and COLMAX is its absolute value. */
  1113. /* Determine both COLMAX and IMAX. */
  1114. if (k < *n) {
  1115. i__1 = *n - k;
  1116. imax = k + icamax_(&i__1, &w[k + 1 + k * w_dim1], &c__1);
  1117. i__1 = imax + k * w_dim1;
  1118. colmax = (r__1 = w[i__1].r, abs(r__1)) + (r__2 = r_imag(&w[imax +
  1119. k * w_dim1]), abs(r__2));
  1120. } else {
  1121. colmax = 0.f;
  1122. }
  1123. if (f2cmax(absakk,colmax) == 0.f) {
  1124. /* Column K is zero or underflow: set INFO and continue */
  1125. if (*info == 0) {
  1126. *info = k;
  1127. }
  1128. kp = k;
  1129. i__1 = k + k * a_dim1;
  1130. i__2 = k + k * a_dim1;
  1131. r__1 = a[i__2].r;
  1132. a[i__1].r = r__1, a[i__1].i = 0.f;
  1133. } else {
  1134. /* ============================================================ */
  1135. /* BEGIN pivot search */
  1136. /* Case(1) */
  1137. if (absakk >= alpha * colmax) {
  1138. /* no interchange, use 1-by-1 pivot block */
  1139. kp = k;
  1140. } else {
  1141. /* BEGIN pivot search along IMAX row */
  1142. /* Copy column IMAX to column K+1 of W and update it */
  1143. i__1 = imax - k;
  1144. ccopy_(&i__1, &a[imax + k * a_dim1], lda, &w[k + (k + 1) *
  1145. w_dim1], &c__1);
  1146. i__1 = imax - k;
  1147. clacgv_(&i__1, &w[k + (k + 1) * w_dim1], &c__1);
  1148. i__1 = imax + (k + 1) * w_dim1;
  1149. i__2 = imax + imax * a_dim1;
  1150. r__1 = a[i__2].r;
  1151. w[i__1].r = r__1, w[i__1].i = 0.f;
  1152. if (imax < *n) {
  1153. i__1 = *n - imax;
  1154. ccopy_(&i__1, &a[imax + 1 + imax * a_dim1], &c__1, &w[
  1155. imax + 1 + (k + 1) * w_dim1], &c__1);
  1156. }
  1157. i__1 = *n - k + 1;
  1158. i__2 = k - 1;
  1159. q__1.r = -1.f, q__1.i = 0.f;
  1160. cgemv_("No transpose", &i__1, &i__2, &q__1, &a[k + a_dim1],
  1161. lda, &w[imax + w_dim1], ldw, &c_b1, &w[k + (k + 1) *
  1162. w_dim1], &c__1);
  1163. i__1 = imax + (k + 1) * w_dim1;
  1164. i__2 = imax + (k + 1) * w_dim1;
  1165. r__1 = w[i__2].r;
  1166. w[i__1].r = r__1, w[i__1].i = 0.f;
  1167. /* JMAX is the column-index of the largest off-diagonal */
  1168. /* element in row IMAX, and ROWMAX is its absolute value. */
  1169. /* Determine only ROWMAX. */
  1170. i__1 = imax - k;
  1171. jmax = k - 1 + icamax_(&i__1, &w[k + (k + 1) * w_dim1], &c__1)
  1172. ;
  1173. i__1 = jmax + (k + 1) * w_dim1;
  1174. rowmax = (r__1 = w[i__1].r, abs(r__1)) + (r__2 = r_imag(&w[
  1175. jmax + (k + 1) * w_dim1]), abs(r__2));
  1176. if (imax < *n) {
  1177. i__1 = *n - imax;
  1178. jmax = imax + icamax_(&i__1, &w[imax + 1 + (k + 1) *
  1179. w_dim1], &c__1);
  1180. /* Computing MAX */
  1181. i__1 = jmax + (k + 1) * w_dim1;
  1182. r__3 = rowmax, r__4 = (r__1 = w[i__1].r, abs(r__1)) + (
  1183. r__2 = r_imag(&w[jmax + (k + 1) * w_dim1]), abs(
  1184. r__2));
  1185. rowmax = f2cmax(r__3,r__4);
  1186. }
  1187. /* Case(2) */
  1188. if (absakk >= alpha * colmax * (colmax / rowmax)) {
  1189. /* no interchange, use 1-by-1 pivot block */
  1190. kp = k;
  1191. /* Case(3) */
  1192. } else /* if(complicated condition) */ {
  1193. i__1 = imax + (k + 1) * w_dim1;
  1194. if ((r__1 = w[i__1].r, abs(r__1)) >= alpha * rowmax) {
  1195. /* interchange rows and columns K and IMAX, use 1-by-1 */
  1196. /* pivot block */
  1197. kp = imax;
  1198. /* copy column K+1 of W to column K of W */
  1199. i__1 = *n - k + 1;
  1200. ccopy_(&i__1, &w[k + (k + 1) * w_dim1], &c__1, &w[k +
  1201. k * w_dim1], &c__1);
  1202. /* Case(4) */
  1203. } else {
  1204. /* interchange rows and columns K+1 and IMAX, use 2-by-2 */
  1205. /* pivot block */
  1206. kp = imax;
  1207. kstep = 2;
  1208. }
  1209. }
  1210. /* END pivot search along IMAX row */
  1211. }
  1212. /* END pivot search */
  1213. /* ============================================================ */
  1214. /* KK is the column of A where pivoting step stopped */
  1215. kk = k + kstep - 1;
  1216. /* Interchange rows and columns KP and KK. */
  1217. /* Updated column KP is already stored in column KK of W. */
  1218. if (kp != kk) {
  1219. /* Copy non-updated column KK to column KP of submatrix A */
  1220. /* at step K. No need to copy element into column K */
  1221. /* (or K and K+1 for 2-by-2 pivot) of A, since these columns */
  1222. /* will be later overwritten. */
  1223. i__1 = kp + kp * a_dim1;
  1224. i__2 = kk + kk * a_dim1;
  1225. r__1 = a[i__2].r;
  1226. a[i__1].r = r__1, a[i__1].i = 0.f;
  1227. i__1 = kp - kk - 1;
  1228. ccopy_(&i__1, &a[kk + 1 + kk * a_dim1], &c__1, &a[kp + (kk +
  1229. 1) * a_dim1], lda);
  1230. i__1 = kp - kk - 1;
  1231. clacgv_(&i__1, &a[kp + (kk + 1) * a_dim1], lda);
  1232. if (kp < *n) {
  1233. i__1 = *n - kp;
  1234. ccopy_(&i__1, &a[kp + 1 + kk * a_dim1], &c__1, &a[kp + 1
  1235. + kp * a_dim1], &c__1);
  1236. }
  1237. /* Interchange rows KK and KP in first K-1 columns of A */
  1238. /* (columns K (or K and K+1 for 2-by-2 pivot) of A will be */
  1239. /* later overwritten). Interchange rows KK and KP */
  1240. /* in first KK columns of W. */
  1241. if (k > 1) {
  1242. i__1 = k - 1;
  1243. cswap_(&i__1, &a[kk + a_dim1], lda, &a[kp + a_dim1], lda);
  1244. }
  1245. cswap_(&kk, &w[kk + w_dim1], ldw, &w[kp + w_dim1], ldw);
  1246. }
  1247. if (kstep == 1) {
  1248. /* 1-by-1 pivot block D(k): column k of W now holds */
  1249. /* W(k) = L(k)*D(k), */
  1250. /* where L(k) is the k-th column of L */
  1251. /* (1) Store subdiag. elements of column L(k) */
  1252. /* and 1-by-1 block D(k) in column k of A. */
  1253. /* (NOTE: Diagonal element L(k,k) is a UNIT element */
  1254. /* and not stored) */
  1255. /* A(k,k) := D(k,k) = W(k,k) */
  1256. /* A(k+1:N,k) := L(k+1:N,k) = W(k+1:N,k)/D(k,k) */
  1257. /* (NOTE: No need to use for Hermitian matrix */
  1258. /* A( K, K ) = DBLE( W( K, K) ) to separately copy diagonal */
  1259. /* element D(k,k) from W (potentially saves only one load)) */
  1260. i__1 = *n - k + 1;
  1261. ccopy_(&i__1, &w[k + k * w_dim1], &c__1, &a[k + k * a_dim1], &
  1262. c__1);
  1263. if (k < *n) {
  1264. /* (NOTE: No need to check if A(k,k) is NOT ZERO, */
  1265. /* since that was ensured earlier in pivot search: */
  1266. /* case A(k,k) = 0 falls into 2x2 pivot case(4)) */
  1267. i__1 = k + k * a_dim1;
  1268. r1 = 1.f / a[i__1].r;
  1269. i__1 = *n - k;
  1270. csscal_(&i__1, &r1, &a[k + 1 + k * a_dim1], &c__1);
  1271. /* (2) Conjugate column W(k) */
  1272. i__1 = *n - k;
  1273. clacgv_(&i__1, &w[k + 1 + k * w_dim1], &c__1);
  1274. }
  1275. } else {
  1276. /* 2-by-2 pivot block D(k): columns k and k+1 of W now hold */
  1277. /* ( W(k) W(k+1) ) = ( L(k) L(k+1) )*D(k) */
  1278. /* where L(k) and L(k+1) are the k-th and (k+1)-th columns */
  1279. /* of L */
  1280. /* (1) Store L(k+2:N,k) and L(k+2:N,k+1) and 2-by-2 */
  1281. /* block D(k:k+1,k:k+1) in columns k and k+1 of A. */
  1282. /* (NOTE: 2-by-2 diagonal block L(k:k+1,k:k+1) is a UNIT */
  1283. /* block and not stored) */
  1284. /* A(k:k+1,k:k+1) := D(k:k+1,k:k+1) = W(k:k+1,k:k+1) */
  1285. /* A(k+2:N,k:k+1) := L(k+2:N,k:k+1) = */
  1286. /* = W(k+2:N,k:k+1) * ( D(k:k+1,k:k+1)**(-1) ) */
  1287. if (k < *n - 1) {
  1288. /* Factor out the columns of the inverse of 2-by-2 pivot */
  1289. /* block D, so that each column contains 1, to reduce the */
  1290. /* number of FLOPS when we multiply panel */
  1291. /* ( W(kw-1) W(kw) ) by this inverse, i.e. by D**(-1). */
  1292. /* D**(-1) = ( d11 cj(d21) )**(-1) = */
  1293. /* ( d21 d22 ) */
  1294. /* = 1/(d11*d22-|d21|**2) * ( ( d22) (-cj(d21) ) ) = */
  1295. /* ( (-d21) ( d11 ) ) */
  1296. /* = 1/(|d21|**2) * 1/((d11/cj(d21))*(d22/d21)-1) * */
  1297. /* * ( d21*( d22/d21 ) conj(d21)*( - 1 ) ) = */
  1298. /* ( ( -1 ) ( d11/conj(d21) ) ) */
  1299. /* = 1/(|d21|**2) * 1/(D22*D11-1) * */
  1300. /* * ( d21*( D11 ) conj(d21)*( -1 ) ) = */
  1301. /* ( ( -1 ) ( D22 ) ) */
  1302. /* = (1/|d21|**2) * T * ( d21*( D11 ) conj(d21)*( -1 ) ) = */
  1303. /* ( ( -1 ) ( D22 ) ) */
  1304. /* = ( (T/conj(d21))*( D11 ) (T/d21)*( -1 ) ) = */
  1305. /* ( ( -1 ) ( D22 ) ) */
  1306. /* = ( conj(D21)*( D11 ) D21*( -1 ) ) */
  1307. /* ( ( -1 ) ( D22 ) ) */
  1308. /* where D11 = d22/d21, */
  1309. /* D22 = d11/conj(d21), */
  1310. /* D21 = T/d21, */
  1311. /* T = 1/(D22*D11-1). */
  1312. /* (NOTE: No need to check for division by ZERO, */
  1313. /* since that was ensured earlier in pivot search: */
  1314. /* (a) d21 != 0, since in 2x2 pivot case(4) */
  1315. /* |d21| should be larger than |d11| and |d22|; */
  1316. /* (b) (D22*D11 - 1) != 0, since from (a), */
  1317. /* both |D11| < 1, |D22| < 1, hence |D22*D11| << 1.) */
  1318. i__1 = k + 1 + k * w_dim1;
  1319. d21.r = w[i__1].r, d21.i = w[i__1].i;
  1320. c_div(&q__1, &w[k + 1 + (k + 1) * w_dim1], &d21);
  1321. d11.r = q__1.r, d11.i = q__1.i;
  1322. r_cnjg(&q__2, &d21);
  1323. c_div(&q__1, &w[k + k * w_dim1], &q__2);
  1324. d22.r = q__1.r, d22.i = q__1.i;
  1325. q__1.r = d11.r * d22.r - d11.i * d22.i, q__1.i = d11.r *
  1326. d22.i + d11.i * d22.r;
  1327. t = 1.f / (q__1.r - 1.f);
  1328. q__2.r = t, q__2.i = 0.f;
  1329. c_div(&q__1, &q__2, &d21);
  1330. d21.r = q__1.r, d21.i = q__1.i;
  1331. /* Update elements in columns A(k) and A(k+1) as */
  1332. /* dot products of rows of ( W(k) W(k+1) ) and columns */
  1333. /* of D**(-1) */
  1334. i__1 = *n;
  1335. for (j = k + 2; j <= i__1; ++j) {
  1336. i__2 = j + k * a_dim1;
  1337. r_cnjg(&q__2, &d21);
  1338. i__3 = j + k * w_dim1;
  1339. q__4.r = d11.r * w[i__3].r - d11.i * w[i__3].i,
  1340. q__4.i = d11.r * w[i__3].i + d11.i * w[i__3]
  1341. .r;
  1342. i__4 = j + (k + 1) * w_dim1;
  1343. q__3.r = q__4.r - w[i__4].r, q__3.i = q__4.i - w[i__4]
  1344. .i;
  1345. q__1.r = q__2.r * q__3.r - q__2.i * q__3.i, q__1.i =
  1346. q__2.r * q__3.i + q__2.i * q__3.r;
  1347. a[i__2].r = q__1.r, a[i__2].i = q__1.i;
  1348. i__2 = j + (k + 1) * a_dim1;
  1349. i__3 = j + (k + 1) * w_dim1;
  1350. q__3.r = d22.r * w[i__3].r - d22.i * w[i__3].i,
  1351. q__3.i = d22.r * w[i__3].i + d22.i * w[i__3]
  1352. .r;
  1353. i__4 = j + k * w_dim1;
  1354. q__2.r = q__3.r - w[i__4].r, q__2.i = q__3.i - w[i__4]
  1355. .i;
  1356. q__1.r = d21.r * q__2.r - d21.i * q__2.i, q__1.i =
  1357. d21.r * q__2.i + d21.i * q__2.r;
  1358. a[i__2].r = q__1.r, a[i__2].i = q__1.i;
  1359. /* L80: */
  1360. }
  1361. }
  1362. /* Copy D(k) to A */
  1363. i__1 = k + k * a_dim1;
  1364. i__2 = k + k * w_dim1;
  1365. a[i__1].r = w[i__2].r, a[i__1].i = w[i__2].i;
  1366. i__1 = k + 1 + k * a_dim1;
  1367. i__2 = k + 1 + k * w_dim1;
  1368. a[i__1].r = w[i__2].r, a[i__1].i = w[i__2].i;
  1369. i__1 = k + 1 + (k + 1) * a_dim1;
  1370. i__2 = k + 1 + (k + 1) * w_dim1;
  1371. a[i__1].r = w[i__2].r, a[i__1].i = w[i__2].i;
  1372. /* (2) Conjugate columns W(k) and W(k+1) */
  1373. i__1 = *n - k;
  1374. clacgv_(&i__1, &w[k + 1 + k * w_dim1], &c__1);
  1375. i__1 = *n - k - 1;
  1376. clacgv_(&i__1, &w[k + 2 + (k + 1) * w_dim1], &c__1);
  1377. }
  1378. }
  1379. /* Store details of the interchanges in IPIV */
  1380. if (kstep == 1) {
  1381. ipiv[k] = kp;
  1382. } else {
  1383. ipiv[k] = -kp;
  1384. ipiv[k + 1] = -kp;
  1385. }
  1386. /* Increase K and return to the start of the main loop */
  1387. k += kstep;
  1388. goto L70;
  1389. L90:
  1390. /* Update the lower triangle of A22 (= A(k:n,k:n)) as */
  1391. /* A22 := A22 - L21*D*L21**H = A22 - L21*W**H */
  1392. /* computing blocks of NB columns at a time (note that conjg(W) is */
  1393. /* actually stored) */
  1394. i__1 = *n;
  1395. i__2 = *nb;
  1396. for (j = k; i__2 < 0 ? j >= i__1 : j <= i__1; j += i__2) {
  1397. /* Computing MIN */
  1398. i__3 = *nb, i__4 = *n - j + 1;
  1399. jb = f2cmin(i__3,i__4);
  1400. /* Update the lower triangle of the diagonal block */
  1401. i__3 = j + jb - 1;
  1402. for (jj = j; jj <= i__3; ++jj) {
  1403. i__4 = jj + jj * a_dim1;
  1404. i__5 = jj + jj * a_dim1;
  1405. r__1 = a[i__5].r;
  1406. a[i__4].r = r__1, a[i__4].i = 0.f;
  1407. i__4 = j + jb - jj;
  1408. i__5 = k - 1;
  1409. q__1.r = -1.f, q__1.i = 0.f;
  1410. cgemv_("No transpose", &i__4, &i__5, &q__1, &a[jj + a_dim1],
  1411. lda, &w[jj + w_dim1], ldw, &c_b1, &a[jj + jj * a_dim1]
  1412. , &c__1);
  1413. i__4 = jj + jj * a_dim1;
  1414. i__5 = jj + jj * a_dim1;
  1415. r__1 = a[i__5].r;
  1416. a[i__4].r = r__1, a[i__4].i = 0.f;
  1417. /* L100: */
  1418. }
  1419. /* Update the rectangular subdiagonal block */
  1420. if (j + jb <= *n) {
  1421. i__3 = *n - j - jb + 1;
  1422. i__4 = k - 1;
  1423. q__1.r = -1.f, q__1.i = 0.f;
  1424. cgemm_("No transpose", "Transpose", &i__3, &jb, &i__4, &q__1,
  1425. &a[j + jb + a_dim1], lda, &w[j + w_dim1], ldw, &c_b1,
  1426. &a[j + jb + j * a_dim1], lda);
  1427. }
  1428. /* L110: */
  1429. }
  1430. /* Put L21 in standard form by partially undoing the interchanges */
  1431. /* of rows in columns 1:k-1 looping backwards from k-1 to 1 */
  1432. j = k - 1;
  1433. L120:
  1434. /* Undo the interchanges (if any) of rows J and JP */
  1435. /* at each step J */
  1436. /* (Here, J is a diagonal index) */
  1437. jj = j;
  1438. jp = ipiv[j];
  1439. if (jp < 0) {
  1440. jp = -jp;
  1441. /* (Here, J is a diagonal index) */
  1442. --j;
  1443. }
  1444. /* (NOTE: Here, J is used to determine row length. Length J */
  1445. /* of the rows to swap back doesn't include diagonal element) */
  1446. --j;
  1447. if (jp != jj && j >= 1) {
  1448. cswap_(&j, &a[jp + a_dim1], lda, &a[jj + a_dim1], lda);
  1449. }
  1450. if (j >= 1) {
  1451. goto L120;
  1452. }
  1453. /* Set KB to the number of columns factorized */
  1454. *kb = k - 1;
  1455. }
  1456. return;
  1457. /* End of CLAHEF */
  1458. } /* clahef_ */