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chetf2.c 39 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 integer c__1 = 1;
  485. /* > \brief \b CHETF2 computes the factorization of a complex Hermitian matrix, using the diagonal pivoting me
  486. thod (unblocked algorithm calling Level 2 BLAS). */
  487. /* =========== DOCUMENTATION =========== */
  488. /* Online html documentation available at */
  489. /* http://www.netlib.org/lapack/explore-html/ */
  490. /* > \htmlonly */
  491. /* > Download CHETF2 + dependencies */
  492. /* > <a href="http://www.netlib.org/cgi-bin/netlibfiles.tgz?format=tgz&filename=/lapack/lapack_routine/chetf2.
  493. f"> */
  494. /* > [TGZ]</a> */
  495. /* > <a href="http://www.netlib.org/cgi-bin/netlibfiles.zip?format=zip&filename=/lapack/lapack_routine/chetf2.
  496. f"> */
  497. /* > [ZIP]</a> */
  498. /* > <a href="http://www.netlib.org/cgi-bin/netlibfiles.txt?format=txt&filename=/lapack/lapack_routine/chetf2.
  499. f"> */
  500. /* > [TXT]</a> */
  501. /* > \endhtmlonly */
  502. /* Definition: */
  503. /* =========== */
  504. /* SUBROUTINE CHETF2( UPLO, N, A, LDA, IPIV, INFO ) */
  505. /* CHARACTER UPLO */
  506. /* INTEGER INFO, LDA, N */
  507. /* INTEGER IPIV( * ) */
  508. /* COMPLEX A( LDA, * ) */
  509. /* > \par Purpose: */
  510. /* ============= */
  511. /* > */
  512. /* > \verbatim */
  513. /* > */
  514. /* > CHETF2 computes the factorization of a complex Hermitian matrix A */
  515. /* > using the Bunch-Kaufman diagonal pivoting method: */
  516. /* > */
  517. /* > A = U*D*U**H or A = L*D*L**H */
  518. /* > */
  519. /* > where U (or L) is a product of permutation and unit upper (lower) */
  520. /* > triangular matrices, U**H is the conjugate transpose of U, and D is */
  521. /* > Hermitian and block diagonal with 1-by-1 and 2-by-2 diagonal blocks. */
  522. /* > */
  523. /* > This is the unblocked version of the algorithm, calling Level 2 BLAS. */
  524. /* > \endverbatim */
  525. /* Arguments: */
  526. /* ========== */
  527. /* > \param[in] UPLO */
  528. /* > \verbatim */
  529. /* > UPLO is CHARACTER*1 */
  530. /* > Specifies whether the upper or lower triangular part of the */
  531. /* > Hermitian matrix A is stored: */
  532. /* > = 'U': Upper triangular */
  533. /* > = 'L': Lower triangular */
  534. /* > \endverbatim */
  535. /* > */
  536. /* > \param[in] N */
  537. /* > \verbatim */
  538. /* > N is INTEGER */
  539. /* > The order of the matrix A. N >= 0. */
  540. /* > \endverbatim */
  541. /* > */
  542. /* > \param[in,out] A */
  543. /* > \verbatim */
  544. /* > A is COMPLEX array, dimension (LDA,N) */
  545. /* > On entry, the Hermitian matrix A. If UPLO = 'U', the leading */
  546. /* > n-by-n upper triangular part of A contains the upper */
  547. /* > triangular part of the matrix A, and the strictly lower */
  548. /* > triangular part of A is not referenced. If UPLO = 'L', the */
  549. /* > leading n-by-n lower triangular part of A contains the lower */
  550. /* > triangular part of the matrix A, and the strictly upper */
  551. /* > triangular part of A is not referenced. */
  552. /* > */
  553. /* > On exit, the block diagonal matrix D and the multipliers used */
  554. /* > to obtain the factor U or L (see below for further details). */
  555. /* > \endverbatim */
  556. /* > */
  557. /* > \param[in] LDA */
  558. /* > \verbatim */
  559. /* > LDA is INTEGER */
  560. /* > The leading dimension of the array A. LDA >= f2cmax(1,N). */
  561. /* > \endverbatim */
  562. /* > */
  563. /* > \param[out] IPIV */
  564. /* > \verbatim */
  565. /* > IPIV is INTEGER array, dimension (N) */
  566. /* > Details of the interchanges and the block structure of D. */
  567. /* > */
  568. /* > If UPLO = 'U': */
  569. /* > If IPIV(k) > 0, then rows and columns k and IPIV(k) were */
  570. /* > interchanged and D(k,k) is a 1-by-1 diagonal block. */
  571. /* > */
  572. /* > If IPIV(k) = IPIV(k-1) < 0, then rows and columns */
  573. /* > k-1 and -IPIV(k) were interchanged and D(k-1:k,k-1:k) */
  574. /* > is a 2-by-2 diagonal block. */
  575. /* > */
  576. /* > If UPLO = 'L': */
  577. /* > If IPIV(k) > 0, then rows and columns k and IPIV(k) were */
  578. /* > interchanged and D(k,k) is a 1-by-1 diagonal block. */
  579. /* > */
  580. /* > If IPIV(k) = IPIV(k+1) < 0, then rows and columns */
  581. /* > k+1 and -IPIV(k) were interchanged and D(k:k+1,k:k+1) */
  582. /* > is a 2-by-2 diagonal block. */
  583. /* > \endverbatim */
  584. /* > */
  585. /* > \param[out] INFO */
  586. /* > \verbatim */
  587. /* > INFO is INTEGER */
  588. /* > = 0: successful exit */
  589. /* > < 0: if INFO = -k, the k-th argument had an illegal value */
  590. /* > > 0: if INFO = k, D(k,k) is exactly zero. The factorization */
  591. /* > has been completed, but the block diagonal matrix D is */
  592. /* > exactly singular, and division by zero will occur if it */
  593. /* > is used to solve a system of equations. */
  594. /* > \endverbatim */
  595. /* Authors: */
  596. /* ======== */
  597. /* > \author Univ. of Tennessee */
  598. /* > \author Univ. of California Berkeley */
  599. /* > \author Univ. of Colorado Denver */
  600. /* > \author NAG Ltd. */
  601. /* > \date December 2016 */
  602. /* > \ingroup complexHEcomputational */
  603. /* > \par Further Details: */
  604. /* ===================== */
  605. /* > */
  606. /* > \verbatim */
  607. /* > */
  608. /* > 09-29-06 - patch from */
  609. /* > Bobby Cheng, MathWorks */
  610. /* > */
  611. /* > Replace l.210 and l.392 */
  612. /* > IF( MAX( ABSAKK, COLMAX ).EQ.ZERO ) THEN */
  613. /* > by */
  614. /* > IF( (MAX( ABSAKK, COLMAX ).EQ.ZERO) .OR. SISNAN(ABSAKK) ) THEN */
  615. /* > */
  616. /* > 01-01-96 - Based on modifications by */
  617. /* > J. Lewis, Boeing Computer Services Company */
  618. /* > A. Petitet, Computer Science Dept., Univ. of Tenn., Knoxville, USA */
  619. /* > */
  620. /* > If UPLO = 'U', then A = U*D*U**H, where */
  621. /* > U = P(n)*U(n)* ... *P(k)U(k)* ..., */
  622. /* > i.e., U is a product of terms P(k)*U(k), where k decreases from n to */
  623. /* > 1 in steps of 1 or 2, and D is a block diagonal matrix with 1-by-1 */
  624. /* > and 2-by-2 diagonal blocks D(k). P(k) is a permutation matrix as */
  625. /* > defined by IPIV(k), and U(k) is a unit upper triangular matrix, such */
  626. /* > that if the diagonal block D(k) is of order s (s = 1 or 2), then */
  627. /* > */
  628. /* > ( I v 0 ) k-s */
  629. /* > U(k) = ( 0 I 0 ) s */
  630. /* > ( 0 0 I ) n-k */
  631. /* > k-s s n-k */
  632. /* > */
  633. /* > If s = 1, D(k) overwrites A(k,k), and v overwrites A(1:k-1,k). */
  634. /* > If s = 2, the upper triangle of D(k) overwrites A(k-1,k-1), A(k-1,k), */
  635. /* > and A(k,k), and v overwrites A(1:k-2,k-1:k). */
  636. /* > */
  637. /* > If UPLO = 'L', then A = L*D*L**H, where */
  638. /* > L = P(1)*L(1)* ... *P(k)*L(k)* ..., */
  639. /* > i.e., L is a product of terms P(k)*L(k), where k increases from 1 to */
  640. /* > n in steps of 1 or 2, and D is a block diagonal matrix with 1-by-1 */
  641. /* > and 2-by-2 diagonal blocks D(k). P(k) is a permutation matrix as */
  642. /* > defined by IPIV(k), and L(k) is a unit lower triangular matrix, such */
  643. /* > that if the diagonal block D(k) is of order s (s = 1 or 2), then */
  644. /* > */
  645. /* > ( I 0 0 ) k-1 */
  646. /* > L(k) = ( 0 I 0 ) s */
  647. /* > ( 0 v I ) n-k-s+1 */
  648. /* > k-1 s n-k-s+1 */
  649. /* > */
  650. /* > If s = 1, D(k) overwrites A(k,k), and v overwrites A(k+1:n,k). */
  651. /* > If s = 2, the lower triangle of D(k) overwrites A(k,k), A(k+1,k), */
  652. /* > and A(k+1,k+1), and v overwrites A(k+2:n,k:k+1). */
  653. /* > \endverbatim */
  654. /* > */
  655. /* ===================================================================== */
  656. /* Subroutine */ void chetf2_(char *uplo, integer *n, complex *a, integer *lda,
  657. integer *ipiv, integer *info)
  658. {
  659. /* System generated locals */
  660. integer a_dim1, a_offset, i__1, i__2, i__3, i__4, i__5, i__6;
  661. real r__1, r__2, r__3, r__4;
  662. complex q__1, q__2, q__3, q__4, q__5, q__6;
  663. /* Local variables */
  664. extern /* Subroutine */ void cher_(char *, integer *, real *, complex *,
  665. integer *, complex *, integer *);
  666. integer imax, jmax;
  667. real d__;
  668. integer i__, j, k;
  669. complex t;
  670. real alpha;
  671. extern logical lsame_(char *, char *);
  672. extern /* Subroutine */ void cswap_(integer *, complex *, integer *,
  673. complex *, integer *);
  674. integer kstep;
  675. logical upper;
  676. real r1, d11;
  677. complex d12;
  678. real d22;
  679. complex d21;
  680. extern real slapy2_(real *, real *);
  681. integer kk, kp;
  682. real absakk;
  683. complex wk;
  684. extern integer icamax_(integer *, complex *, integer *);
  685. real tt;
  686. extern /* Subroutine */ void csscal_(integer *, real *, complex *, integer
  687. *);
  688. extern int xerbla_(char *, integer *, ftnlen);
  689. real colmax;
  690. extern logical sisnan_(real *);
  691. real rowmax;
  692. complex wkm1, wkp1;
  693. /* -- LAPACK computational routine (version 3.7.0) -- */
  694. /* -- LAPACK is a software package provided by Univ. of Tennessee, -- */
  695. /* -- Univ. of California Berkeley, Univ. of Colorado Denver and NAG Ltd..-- */
  696. /* December 2016 */
  697. /* ===================================================================== */
  698. /* Test the input parameters. */
  699. /* Parameter adjustments */
  700. a_dim1 = *lda;
  701. a_offset = 1 + a_dim1 * 1;
  702. a -= a_offset;
  703. --ipiv;
  704. /* Function Body */
  705. *info = 0;
  706. upper = lsame_(uplo, "U");
  707. if (! upper && ! lsame_(uplo, "L")) {
  708. *info = -1;
  709. } else if (*n < 0) {
  710. *info = -2;
  711. } else if (*lda < f2cmax(1,*n)) {
  712. *info = -4;
  713. }
  714. if (*info != 0) {
  715. i__1 = -(*info);
  716. xerbla_("CHETF2", &i__1, (ftnlen)6);
  717. return;
  718. }
  719. /* Initialize ALPHA for use in choosing pivot block size. */
  720. alpha = (sqrt(17.f) + 1.f) / 8.f;
  721. if (upper) {
  722. /* Factorize A as U*D*U**H using the upper triangle of A */
  723. /* K is the main loop index, decreasing from N to 1 in steps of */
  724. /* 1 or 2 */
  725. k = *n;
  726. L10:
  727. /* If K < 1, exit from loop */
  728. if (k < 1) {
  729. goto L90;
  730. }
  731. kstep = 1;
  732. /* Determine rows and columns to be interchanged and whether */
  733. /* a 1-by-1 or 2-by-2 pivot block will be used */
  734. i__1 = k + k * a_dim1;
  735. absakk = (r__1 = a[i__1].r, abs(r__1));
  736. /* IMAX is the row-index of the largest off-diagonal element in */
  737. /* column K, and COLMAX is its absolute value. */
  738. /* Determine both COLMAX and IMAX. */
  739. if (k > 1) {
  740. i__1 = k - 1;
  741. imax = icamax_(&i__1, &a[k * a_dim1 + 1], &c__1);
  742. i__1 = imax + k * a_dim1;
  743. colmax = (r__1 = a[i__1].r, abs(r__1)) + (r__2 = r_imag(&a[imax +
  744. k * a_dim1]), abs(r__2));
  745. } else {
  746. colmax = 0.f;
  747. }
  748. if (f2cmax(absakk,colmax) == 0.f || sisnan_(&absakk)) {
  749. /* Column K is or underflow, or contains a NaN: */
  750. /* set INFO and continue */
  751. if (*info == 0) {
  752. *info = k;
  753. }
  754. kp = k;
  755. i__1 = k + k * a_dim1;
  756. i__2 = k + k * a_dim1;
  757. r__1 = a[i__2].r;
  758. a[i__1].r = r__1, a[i__1].i = 0.f;
  759. } else {
  760. if (absakk >= alpha * colmax) {
  761. /* no interchange, use 1-by-1 pivot block */
  762. kp = k;
  763. } else {
  764. /* JMAX is the column-index of the largest off-diagonal */
  765. /* element in row IMAX, and ROWMAX is its absolute value */
  766. i__1 = k - imax;
  767. jmax = imax + icamax_(&i__1, &a[imax + (imax + 1) * a_dim1],
  768. lda);
  769. i__1 = imax + jmax * a_dim1;
  770. rowmax = (r__1 = a[i__1].r, abs(r__1)) + (r__2 = r_imag(&a[
  771. imax + jmax * a_dim1]), abs(r__2));
  772. if (imax > 1) {
  773. i__1 = imax - 1;
  774. jmax = icamax_(&i__1, &a[imax * a_dim1 + 1], &c__1);
  775. /* Computing MAX */
  776. i__1 = jmax + imax * a_dim1;
  777. r__3 = rowmax, r__4 = (r__1 = a[i__1].r, abs(r__1)) + (
  778. r__2 = r_imag(&a[jmax + imax * a_dim1]), abs(r__2)
  779. );
  780. rowmax = f2cmax(r__3,r__4);
  781. }
  782. if (absakk >= alpha * colmax * (colmax / rowmax)) {
  783. /* no interchange, use 1-by-1 pivot block */
  784. kp = k;
  785. } else /* if(complicated condition) */ {
  786. i__1 = imax + imax * a_dim1;
  787. if ((r__1 = a[i__1].r, abs(r__1)) >= alpha * rowmax) {
  788. /* interchange rows and columns K and IMAX, use 1-by-1 */
  789. /* pivot block */
  790. kp = imax;
  791. } else {
  792. /* interchange rows and columns K-1 and IMAX, use 2-by-2 */
  793. /* pivot block */
  794. kp = imax;
  795. kstep = 2;
  796. }
  797. }
  798. }
  799. kk = k - kstep + 1;
  800. if (kp != kk) {
  801. /* Interchange rows and columns KK and KP in the leading */
  802. /* submatrix A(1:k,1:k) */
  803. i__1 = kp - 1;
  804. cswap_(&i__1, &a[kk * a_dim1 + 1], &c__1, &a[kp * a_dim1 + 1],
  805. &c__1);
  806. i__1 = kk - 1;
  807. for (j = kp + 1; j <= i__1; ++j) {
  808. r_cnjg(&q__1, &a[j + kk * a_dim1]);
  809. t.r = q__1.r, t.i = q__1.i;
  810. i__2 = j + kk * a_dim1;
  811. r_cnjg(&q__1, &a[kp + j * a_dim1]);
  812. a[i__2].r = q__1.r, a[i__2].i = q__1.i;
  813. i__2 = kp + j * a_dim1;
  814. a[i__2].r = t.r, a[i__2].i = t.i;
  815. /* L20: */
  816. }
  817. i__1 = kp + kk * a_dim1;
  818. r_cnjg(&q__1, &a[kp + kk * a_dim1]);
  819. a[i__1].r = q__1.r, a[i__1].i = q__1.i;
  820. i__1 = kk + kk * a_dim1;
  821. r1 = a[i__1].r;
  822. i__1 = kk + kk * a_dim1;
  823. i__2 = kp + kp * a_dim1;
  824. r__1 = a[i__2].r;
  825. a[i__1].r = r__1, a[i__1].i = 0.f;
  826. i__1 = kp + kp * a_dim1;
  827. a[i__1].r = r1, a[i__1].i = 0.f;
  828. if (kstep == 2) {
  829. i__1 = k + k * a_dim1;
  830. i__2 = k + k * a_dim1;
  831. r__1 = a[i__2].r;
  832. a[i__1].r = r__1, a[i__1].i = 0.f;
  833. i__1 = k - 1 + k * a_dim1;
  834. t.r = a[i__1].r, t.i = a[i__1].i;
  835. i__1 = k - 1 + k * a_dim1;
  836. i__2 = kp + k * a_dim1;
  837. a[i__1].r = a[i__2].r, a[i__1].i = a[i__2].i;
  838. i__1 = kp + k * a_dim1;
  839. a[i__1].r = t.r, a[i__1].i = t.i;
  840. }
  841. } else {
  842. i__1 = k + k * a_dim1;
  843. i__2 = k + k * a_dim1;
  844. r__1 = a[i__2].r;
  845. a[i__1].r = r__1, a[i__1].i = 0.f;
  846. if (kstep == 2) {
  847. i__1 = k - 1 + (k - 1) * a_dim1;
  848. i__2 = k - 1 + (k - 1) * a_dim1;
  849. r__1 = a[i__2].r;
  850. a[i__1].r = r__1, a[i__1].i = 0.f;
  851. }
  852. }
  853. /* Update the leading submatrix */
  854. if (kstep == 1) {
  855. /* 1-by-1 pivot block D(k): column k now holds */
  856. /* W(k) = U(k)*D(k) */
  857. /* where U(k) is the k-th column of U */
  858. /* Perform a rank-1 update of A(1:k-1,1:k-1) as */
  859. /* A := A - U(k)*D(k)*U(k)**H = A - W(k)*1/D(k)*W(k)**H */
  860. i__1 = k + k * a_dim1;
  861. r1 = 1.f / a[i__1].r;
  862. i__1 = k - 1;
  863. r__1 = -r1;
  864. cher_(uplo, &i__1, &r__1, &a[k * a_dim1 + 1], &c__1, &a[
  865. a_offset], lda);
  866. /* Store U(k) in column k */
  867. i__1 = k - 1;
  868. csscal_(&i__1, &r1, &a[k * a_dim1 + 1], &c__1);
  869. } else {
  870. /* 2-by-2 pivot block D(k): columns k and k-1 now hold */
  871. /* ( W(k-1) W(k) ) = ( U(k-1) U(k) )*D(k) */
  872. /* where U(k) and U(k-1) are the k-th and (k-1)-th columns */
  873. /* of U */
  874. /* Perform a rank-2 update of A(1:k-2,1:k-2) as */
  875. /* A := A - ( U(k-1) U(k) )*D(k)*( U(k-1) U(k) )**H */
  876. /* = A - ( W(k-1) W(k) )*inv(D(k))*( W(k-1) W(k) )**H */
  877. if (k > 2) {
  878. i__1 = k - 1 + k * a_dim1;
  879. r__1 = a[i__1].r;
  880. r__2 = r_imag(&a[k - 1 + k * a_dim1]);
  881. d__ = slapy2_(&r__1, &r__2);
  882. i__1 = k - 1 + (k - 1) * a_dim1;
  883. d22 = a[i__1].r / d__;
  884. i__1 = k + k * a_dim1;
  885. d11 = a[i__1].r / d__;
  886. tt = 1.f / (d11 * d22 - 1.f);
  887. i__1 = k - 1 + k * a_dim1;
  888. q__1.r = a[i__1].r / d__, q__1.i = a[i__1].i / d__;
  889. d12.r = q__1.r, d12.i = q__1.i;
  890. d__ = tt / d__;
  891. for (j = k - 2; j >= 1; --j) {
  892. i__1 = j + (k - 1) * a_dim1;
  893. q__3.r = d11 * a[i__1].r, q__3.i = d11 * a[i__1].i;
  894. r_cnjg(&q__5, &d12);
  895. i__2 = j + k * a_dim1;
  896. q__4.r = q__5.r * a[i__2].r - q__5.i * a[i__2].i,
  897. q__4.i = q__5.r * a[i__2].i + q__5.i * a[i__2]
  898. .r;
  899. q__2.r = q__3.r - q__4.r, q__2.i = q__3.i - q__4.i;
  900. q__1.r = d__ * q__2.r, q__1.i = d__ * q__2.i;
  901. wkm1.r = q__1.r, wkm1.i = q__1.i;
  902. i__1 = j + k * a_dim1;
  903. q__3.r = d22 * a[i__1].r, q__3.i = d22 * a[i__1].i;
  904. i__2 = j + (k - 1) * a_dim1;
  905. q__4.r = d12.r * a[i__2].r - d12.i * a[i__2].i,
  906. q__4.i = d12.r * a[i__2].i + d12.i * a[i__2]
  907. .r;
  908. q__2.r = q__3.r - q__4.r, q__2.i = q__3.i - q__4.i;
  909. q__1.r = d__ * q__2.r, q__1.i = d__ * q__2.i;
  910. wk.r = q__1.r, wk.i = q__1.i;
  911. for (i__ = j; i__ >= 1; --i__) {
  912. i__1 = i__ + j * a_dim1;
  913. i__2 = i__ + j * a_dim1;
  914. i__3 = i__ + k * a_dim1;
  915. r_cnjg(&q__4, &wk);
  916. q__3.r = a[i__3].r * q__4.r - a[i__3].i * q__4.i,
  917. q__3.i = a[i__3].r * q__4.i + a[i__3].i *
  918. q__4.r;
  919. q__2.r = a[i__2].r - q__3.r, q__2.i = a[i__2].i -
  920. q__3.i;
  921. i__4 = i__ + (k - 1) * a_dim1;
  922. r_cnjg(&q__6, &wkm1);
  923. q__5.r = a[i__4].r * q__6.r - a[i__4].i * q__6.i,
  924. q__5.i = a[i__4].r * q__6.i + a[i__4].i *
  925. q__6.r;
  926. q__1.r = q__2.r - q__5.r, q__1.i = q__2.i -
  927. q__5.i;
  928. a[i__1].r = q__1.r, a[i__1].i = q__1.i;
  929. /* L30: */
  930. }
  931. i__1 = j + k * a_dim1;
  932. a[i__1].r = wk.r, a[i__1].i = wk.i;
  933. i__1 = j + (k - 1) * a_dim1;
  934. a[i__1].r = wkm1.r, a[i__1].i = wkm1.i;
  935. i__1 = j + j * a_dim1;
  936. i__2 = j + j * a_dim1;
  937. r__1 = a[i__2].r;
  938. q__1.r = r__1, q__1.i = 0.f;
  939. a[i__1].r = q__1.r, a[i__1].i = q__1.i;
  940. /* L40: */
  941. }
  942. }
  943. }
  944. }
  945. /* Store details of the interchanges in IPIV */
  946. if (kstep == 1) {
  947. ipiv[k] = kp;
  948. } else {
  949. ipiv[k] = -kp;
  950. ipiv[k - 1] = -kp;
  951. }
  952. /* Decrease K and return to the start of the main loop */
  953. k -= kstep;
  954. goto L10;
  955. } else {
  956. /* Factorize A as L*D*L**H using the lower triangle of A */
  957. /* K is the main loop index, increasing from 1 to N in steps of */
  958. /* 1 or 2 */
  959. k = 1;
  960. L50:
  961. /* If K > N, exit from loop */
  962. if (k > *n) {
  963. goto L90;
  964. }
  965. kstep = 1;
  966. /* Determine rows and columns to be interchanged and whether */
  967. /* a 1-by-1 or 2-by-2 pivot block will be used */
  968. i__1 = k + k * a_dim1;
  969. absakk = (r__1 = a[i__1].r, abs(r__1));
  970. /* IMAX is the row-index of the largest off-diagonal element in */
  971. /* column K, and COLMAX is its absolute value. */
  972. /* Determine both COLMAX and IMAX. */
  973. if (k < *n) {
  974. i__1 = *n - k;
  975. imax = k + icamax_(&i__1, &a[k + 1 + k * a_dim1], &c__1);
  976. i__1 = imax + k * a_dim1;
  977. colmax = (r__1 = a[i__1].r, abs(r__1)) + (r__2 = r_imag(&a[imax +
  978. k * a_dim1]), abs(r__2));
  979. } else {
  980. colmax = 0.f;
  981. }
  982. if (f2cmax(absakk,colmax) == 0.f || sisnan_(&absakk)) {
  983. /* Column K is zero or underflow, contains a NaN: */
  984. /* set INFO and continue */
  985. if (*info == 0) {
  986. *info = k;
  987. }
  988. kp = k;
  989. i__1 = k + k * a_dim1;
  990. i__2 = k + k * a_dim1;
  991. r__1 = a[i__2].r;
  992. a[i__1].r = r__1, a[i__1].i = 0.f;
  993. } else {
  994. if (absakk >= alpha * colmax) {
  995. /* no interchange, use 1-by-1 pivot block */
  996. kp = k;
  997. } else {
  998. /* JMAX is the column-index of the largest off-diagonal */
  999. /* element in row IMAX, and ROWMAX is its absolute value */
  1000. i__1 = imax - k;
  1001. jmax = k - 1 + icamax_(&i__1, &a[imax + k * a_dim1], lda);
  1002. i__1 = imax + jmax * a_dim1;
  1003. rowmax = (r__1 = a[i__1].r, abs(r__1)) + (r__2 = r_imag(&a[
  1004. imax + jmax * a_dim1]), abs(r__2));
  1005. if (imax < *n) {
  1006. i__1 = *n - imax;
  1007. jmax = imax + icamax_(&i__1, &a[imax + 1 + imax * a_dim1],
  1008. &c__1);
  1009. /* Computing MAX */
  1010. i__1 = jmax + imax * a_dim1;
  1011. r__3 = rowmax, r__4 = (r__1 = a[i__1].r, abs(r__1)) + (
  1012. r__2 = r_imag(&a[jmax + imax * a_dim1]), abs(r__2)
  1013. );
  1014. rowmax = f2cmax(r__3,r__4);
  1015. }
  1016. if (absakk >= alpha * colmax * (colmax / rowmax)) {
  1017. /* no interchange, use 1-by-1 pivot block */
  1018. kp = k;
  1019. } else /* if(complicated condition) */ {
  1020. i__1 = imax + imax * a_dim1;
  1021. if ((r__1 = a[i__1].r, abs(r__1)) >= alpha * rowmax) {
  1022. /* interchange rows and columns K and IMAX, use 1-by-1 */
  1023. /* pivot block */
  1024. kp = imax;
  1025. } else {
  1026. /* interchange rows and columns K+1 and IMAX, use 2-by-2 */
  1027. /* pivot block */
  1028. kp = imax;
  1029. kstep = 2;
  1030. }
  1031. }
  1032. }
  1033. kk = k + kstep - 1;
  1034. if (kp != kk) {
  1035. /* Interchange rows and columns KK and KP in the trailing */
  1036. /* submatrix A(k:n,k:n) */
  1037. if (kp < *n) {
  1038. i__1 = *n - kp;
  1039. cswap_(&i__1, &a[kp + 1 + kk * a_dim1], &c__1, &a[kp + 1
  1040. + kp * a_dim1], &c__1);
  1041. }
  1042. i__1 = kp - 1;
  1043. for (j = kk + 1; j <= i__1; ++j) {
  1044. r_cnjg(&q__1, &a[j + kk * a_dim1]);
  1045. t.r = q__1.r, t.i = q__1.i;
  1046. i__2 = j + kk * a_dim1;
  1047. r_cnjg(&q__1, &a[kp + j * a_dim1]);
  1048. a[i__2].r = q__1.r, a[i__2].i = q__1.i;
  1049. i__2 = kp + j * a_dim1;
  1050. a[i__2].r = t.r, a[i__2].i = t.i;
  1051. /* L60: */
  1052. }
  1053. i__1 = kp + kk * a_dim1;
  1054. r_cnjg(&q__1, &a[kp + kk * a_dim1]);
  1055. a[i__1].r = q__1.r, a[i__1].i = q__1.i;
  1056. i__1 = kk + kk * a_dim1;
  1057. r1 = a[i__1].r;
  1058. i__1 = kk + kk * a_dim1;
  1059. i__2 = kp + kp * a_dim1;
  1060. r__1 = a[i__2].r;
  1061. a[i__1].r = r__1, a[i__1].i = 0.f;
  1062. i__1 = kp + kp * a_dim1;
  1063. a[i__1].r = r1, a[i__1].i = 0.f;
  1064. if (kstep == 2) {
  1065. i__1 = k + k * a_dim1;
  1066. i__2 = k + k * a_dim1;
  1067. r__1 = a[i__2].r;
  1068. a[i__1].r = r__1, a[i__1].i = 0.f;
  1069. i__1 = k + 1 + k * a_dim1;
  1070. t.r = a[i__1].r, t.i = a[i__1].i;
  1071. i__1 = k + 1 + k * a_dim1;
  1072. i__2 = kp + k * a_dim1;
  1073. a[i__1].r = a[i__2].r, a[i__1].i = a[i__2].i;
  1074. i__1 = kp + k * a_dim1;
  1075. a[i__1].r = t.r, a[i__1].i = t.i;
  1076. }
  1077. } else {
  1078. i__1 = k + k * a_dim1;
  1079. i__2 = k + k * a_dim1;
  1080. r__1 = a[i__2].r;
  1081. a[i__1].r = r__1, a[i__1].i = 0.f;
  1082. if (kstep == 2) {
  1083. i__1 = k + 1 + (k + 1) * a_dim1;
  1084. i__2 = k + 1 + (k + 1) * a_dim1;
  1085. r__1 = a[i__2].r;
  1086. a[i__1].r = r__1, a[i__1].i = 0.f;
  1087. }
  1088. }
  1089. /* Update the trailing submatrix */
  1090. if (kstep == 1) {
  1091. /* 1-by-1 pivot block D(k): column k now holds */
  1092. /* W(k) = L(k)*D(k) */
  1093. /* where L(k) is the k-th column of L */
  1094. if (k < *n) {
  1095. /* Perform a rank-1 update of A(k+1:n,k+1:n) as */
  1096. /* A := A - L(k)*D(k)*L(k)**H = A - W(k)*(1/D(k))*W(k)**H */
  1097. i__1 = k + k * a_dim1;
  1098. r1 = 1.f / a[i__1].r;
  1099. i__1 = *n - k;
  1100. r__1 = -r1;
  1101. cher_(uplo, &i__1, &r__1, &a[k + 1 + k * a_dim1], &c__1, &
  1102. a[k + 1 + (k + 1) * a_dim1], lda);
  1103. /* Store L(k) in column K */
  1104. i__1 = *n - k;
  1105. csscal_(&i__1, &r1, &a[k + 1 + k * a_dim1], &c__1);
  1106. }
  1107. } else {
  1108. /* 2-by-2 pivot block D(k) */
  1109. if (k < *n - 1) {
  1110. /* Perform a rank-2 update of A(k+2:n,k+2:n) as */
  1111. /* A := A - ( L(k) L(k+1) )*D(k)*( L(k) L(k+1) )**H */
  1112. /* = A - ( W(k) W(k+1) )*inv(D(k))*( W(k) W(k+1) )**H */
  1113. /* where L(k) and L(k+1) are the k-th and (k+1)-th */
  1114. /* columns of L */
  1115. i__1 = k + 1 + k * a_dim1;
  1116. r__1 = a[i__1].r;
  1117. r__2 = r_imag(&a[k + 1 + k * a_dim1]);
  1118. d__ = slapy2_(&r__1, &r__2);
  1119. i__1 = k + 1 + (k + 1) * a_dim1;
  1120. d11 = a[i__1].r / d__;
  1121. i__1 = k + k * a_dim1;
  1122. d22 = a[i__1].r / d__;
  1123. tt = 1.f / (d11 * d22 - 1.f);
  1124. i__1 = k + 1 + k * a_dim1;
  1125. q__1.r = a[i__1].r / d__, q__1.i = a[i__1].i / d__;
  1126. d21.r = q__1.r, d21.i = q__1.i;
  1127. d__ = tt / d__;
  1128. i__1 = *n;
  1129. for (j = k + 2; j <= i__1; ++j) {
  1130. i__2 = j + k * a_dim1;
  1131. q__3.r = d11 * a[i__2].r, q__3.i = d11 * a[i__2].i;
  1132. i__3 = j + (k + 1) * a_dim1;
  1133. q__4.r = d21.r * a[i__3].r - d21.i * a[i__3].i,
  1134. q__4.i = d21.r * a[i__3].i + d21.i * a[i__3]
  1135. .r;
  1136. q__2.r = q__3.r - q__4.r, q__2.i = q__3.i - q__4.i;
  1137. q__1.r = d__ * q__2.r, q__1.i = d__ * q__2.i;
  1138. wk.r = q__1.r, wk.i = q__1.i;
  1139. i__2 = j + (k + 1) * a_dim1;
  1140. q__3.r = d22 * a[i__2].r, q__3.i = d22 * a[i__2].i;
  1141. r_cnjg(&q__5, &d21);
  1142. i__3 = j + k * a_dim1;
  1143. q__4.r = q__5.r * a[i__3].r - q__5.i * a[i__3].i,
  1144. q__4.i = q__5.r * a[i__3].i + q__5.i * a[i__3]
  1145. .r;
  1146. q__2.r = q__3.r - q__4.r, q__2.i = q__3.i - q__4.i;
  1147. q__1.r = d__ * q__2.r, q__1.i = d__ * q__2.i;
  1148. wkp1.r = q__1.r, wkp1.i = q__1.i;
  1149. i__2 = *n;
  1150. for (i__ = j; i__ <= i__2; ++i__) {
  1151. i__3 = i__ + j * a_dim1;
  1152. i__4 = i__ + j * a_dim1;
  1153. i__5 = i__ + k * a_dim1;
  1154. r_cnjg(&q__4, &wk);
  1155. q__3.r = a[i__5].r * q__4.r - a[i__5].i * q__4.i,
  1156. q__3.i = a[i__5].r * q__4.i + a[i__5].i *
  1157. q__4.r;
  1158. q__2.r = a[i__4].r - q__3.r, q__2.i = a[i__4].i -
  1159. q__3.i;
  1160. i__6 = i__ + (k + 1) * a_dim1;
  1161. r_cnjg(&q__6, &wkp1);
  1162. q__5.r = a[i__6].r * q__6.r - a[i__6].i * q__6.i,
  1163. q__5.i = a[i__6].r * q__6.i + a[i__6].i *
  1164. q__6.r;
  1165. q__1.r = q__2.r - q__5.r, q__1.i = q__2.i -
  1166. q__5.i;
  1167. a[i__3].r = q__1.r, a[i__3].i = q__1.i;
  1168. /* L70: */
  1169. }
  1170. i__2 = j + k * a_dim1;
  1171. a[i__2].r = wk.r, a[i__2].i = wk.i;
  1172. i__2 = j + (k + 1) * a_dim1;
  1173. a[i__2].r = wkp1.r, a[i__2].i = wkp1.i;
  1174. i__2 = j + j * a_dim1;
  1175. i__3 = j + j * a_dim1;
  1176. r__1 = a[i__3].r;
  1177. q__1.r = r__1, q__1.i = 0.f;
  1178. a[i__2].r = q__1.r, a[i__2].i = q__1.i;
  1179. /* L80: */
  1180. }
  1181. }
  1182. }
  1183. }
  1184. /* Store details of the interchanges in IPIV */
  1185. if (kstep == 1) {
  1186. ipiv[k] = kp;
  1187. } else {
  1188. ipiv[k] = -kp;
  1189. ipiv[k + 1] = -kp;
  1190. }
  1191. /* Increase K and return to the start of the main loop */
  1192. k += kstep;
  1193. goto L50;
  1194. }
  1195. L90:
  1196. return;
  1197. /* End of CHETF2 */
  1198. } /* chetf2_ */