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zbdsqr.c 41 kB

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  1. #include <math.h>
  2. #include <stdlib.h>
  3. #include <string.h>
  4. #include <stdio.h>
  5. #include <complex.h>
  6. #ifdef complex
  7. #undef complex
  8. #endif
  9. #ifdef I
  10. #undef I
  11. #endif
  12. #if defined(_WIN64)
  13. typedef long long BLASLONG;
  14. typedef unsigned long long BLASULONG;
  15. #else
  16. typedef long BLASLONG;
  17. typedef unsigned long BLASULONG;
  18. #endif
  19. #ifdef LAPACK_ILP64
  20. typedef BLASLONG blasint;
  21. #if defined(_WIN64)
  22. #define blasabs(x) llabs(x)
  23. #else
  24. #define blasabs(x) labs(x)
  25. #endif
  26. #else
  27. typedef int blasint;
  28. #define blasabs(x) abs(x)
  29. #endif
  30. typedef blasint integer;
  31. typedef unsigned int uinteger;
  32. typedef char *address;
  33. typedef short int shortint;
  34. typedef float real;
  35. typedef double doublereal;
  36. typedef struct { real r, i; } complex;
  37. typedef struct { doublereal r, i; } doublecomplex;
  38. #ifdef _MSC_VER
  39. static inline _Fcomplex Cf(complex *z) {_Fcomplex zz={z->r , z->i}; return zz;}
  40. static inline _Dcomplex Cd(doublecomplex *z) {_Dcomplex zz={z->r , z->i};return zz;}
  41. static inline _Fcomplex * _pCf(complex *z) {return (_Fcomplex*)z;}
  42. static inline _Dcomplex * _pCd(doublecomplex *z) {return (_Dcomplex*)z;}
  43. #else
  44. static inline _Complex float Cf(complex *z) {return z->r + z->i*_Complex_I;}
  45. static inline _Complex double Cd(doublecomplex *z) {return z->r + z->i*_Complex_I;}
  46. static inline _Complex float * _pCf(complex *z) {return (_Complex float*)z;}
  47. static inline _Complex double * _pCd(doublecomplex *z) {return (_Complex double*)z;}
  48. #endif
  49. #define pCf(z) (*_pCf(z))
  50. #define pCd(z) (*_pCd(z))
  51. typedef int logical;
  52. typedef short int shortlogical;
  53. typedef char logical1;
  54. typedef char integer1;
  55. #define TRUE_ (1)
  56. #define FALSE_ (0)
  57. /* Extern is for use with -E */
  58. #ifndef Extern
  59. #define Extern extern
  60. #endif
  61. /* I/O stuff */
  62. typedef int flag;
  63. typedef int ftnlen;
  64. typedef int ftnint;
  65. /*external read, write*/
  66. typedef struct
  67. { flag cierr;
  68. ftnint ciunit;
  69. flag ciend;
  70. char *cifmt;
  71. ftnint cirec;
  72. } cilist;
  73. /*internal read, write*/
  74. typedef struct
  75. { flag icierr;
  76. char *iciunit;
  77. flag iciend;
  78. char *icifmt;
  79. ftnint icirlen;
  80. ftnint icirnum;
  81. } icilist;
  82. /*open*/
  83. typedef struct
  84. { flag oerr;
  85. ftnint ounit;
  86. char *ofnm;
  87. ftnlen ofnmlen;
  88. char *osta;
  89. char *oacc;
  90. char *ofm;
  91. ftnint orl;
  92. char *oblnk;
  93. } olist;
  94. /*close*/
  95. typedef struct
  96. { flag cerr;
  97. ftnint cunit;
  98. char *csta;
  99. } cllist;
  100. /*rewind, backspace, endfile*/
  101. typedef struct
  102. { flag aerr;
  103. ftnint aunit;
  104. } alist;
  105. /* inquire */
  106. typedef struct
  107. { flag inerr;
  108. ftnint inunit;
  109. char *infile;
  110. ftnlen infilen;
  111. ftnint *inex; /*parameters in standard's order*/
  112. ftnint *inopen;
  113. ftnint *innum;
  114. ftnint *innamed;
  115. char *inname;
  116. ftnlen innamlen;
  117. char *inacc;
  118. ftnlen inacclen;
  119. char *inseq;
  120. ftnlen inseqlen;
  121. char *indir;
  122. ftnlen indirlen;
  123. char *infmt;
  124. ftnlen infmtlen;
  125. char *inform;
  126. ftnint informlen;
  127. char *inunf;
  128. ftnlen inunflen;
  129. ftnint *inrecl;
  130. ftnint *innrec;
  131. char *inblank;
  132. ftnlen inblanklen;
  133. } inlist;
  134. #define VOID void
  135. union Multitype { /* for multiple entry points */
  136. integer1 g;
  137. shortint h;
  138. integer i;
  139. /* longint j; */
  140. real r;
  141. doublereal d;
  142. complex c;
  143. doublecomplex z;
  144. };
  145. typedef union Multitype Multitype;
  146. struct Vardesc { /* for Namelist */
  147. char *name;
  148. char *addr;
  149. ftnlen *dims;
  150. int type;
  151. };
  152. typedef struct Vardesc Vardesc;
  153. struct Namelist {
  154. char *name;
  155. Vardesc **vars;
  156. int nvars;
  157. };
  158. typedef struct Namelist Namelist;
  159. #define abs(x) ((x) >= 0 ? (x) : -(x))
  160. #define dabs(x) (fabs(x))
  161. #define f2cmin(a,b) ((a) <= (b) ? (a) : (b))
  162. #define f2cmax(a,b) ((a) >= (b) ? (a) : (b))
  163. #define dmin(a,b) (f2cmin(a,b))
  164. #define dmax(a,b) (f2cmax(a,b))
  165. #define bit_test(a,b) ((a) >> (b) & 1)
  166. #define bit_clear(a,b) ((a) & ~((uinteger)1 << (b)))
  167. #define bit_set(a,b) ((a) | ((uinteger)1 << (b)))
  168. #define abort_() { sig_die("Fortran abort routine called", 1); }
  169. #define c_abs(z) (cabsf(Cf(z)))
  170. #define c_cos(R,Z) { pCf(R)=ccos(Cf(Z)); }
  171. #ifdef _MSC_VER
  172. #define c_div(c, a, b) {Cf(c)._Val[0] = (Cf(a)._Val[0]/Cf(b)._Val[0]); Cf(c)._Val[1]=(Cf(a)._Val[1]/Cf(b)._Val[1]);}
  173. #define z_div(c, a, b) {Cd(c)._Val[0] = (Cd(a)._Val[0]/Cd(b)._Val[0]); Cd(c)._Val[1]=(Cd(a)._Val[1]/df(b)._Val[1]);}
  174. #else
  175. #define c_div(c, a, b) {pCf(c) = Cf(a)/Cf(b);}
  176. #define z_div(c, a, b) {pCd(c) = Cd(a)/Cd(b);}
  177. #endif
  178. #define c_exp(R, Z) {pCf(R) = cexpf(Cf(Z));}
  179. #define c_log(R, Z) {pCf(R) = clogf(Cf(Z));}
  180. #define c_sin(R, Z) {pCf(R) = csinf(Cf(Z));}
  181. //#define c_sqrt(R, Z) {*(R) = csqrtf(Cf(Z));}
  182. #define c_sqrt(R, Z) {pCf(R) = csqrtf(Cf(Z));}
  183. #define d_abs(x) (fabs(*(x)))
  184. #define d_acos(x) (acos(*(x)))
  185. #define d_asin(x) (asin(*(x)))
  186. #define d_atan(x) (atan(*(x)))
  187. #define d_atn2(x, y) (atan2(*(x),*(y)))
  188. #define d_cnjg(R, Z) { pCd(R) = conj(Cd(Z)); }
  189. #define r_cnjg(R, Z) { pCf(R) = conjf(Cf(Z)); }
  190. #define d_cos(x) (cos(*(x)))
  191. #define d_cosh(x) (cosh(*(x)))
  192. #define d_dim(__a, __b) ( *(__a) > *(__b) ? *(__a) - *(__b) : 0.0 )
  193. #define d_exp(x) (exp(*(x)))
  194. #define d_imag(z) (cimag(Cd(z)))
  195. #define r_imag(z) (cimagf(Cf(z)))
  196. #define d_int(__x) (*(__x)>0 ? floor(*(__x)) : -floor(- *(__x)))
  197. #define r_int(__x) (*(__x)>0 ? floor(*(__x)) : -floor(- *(__x)))
  198. #define d_lg10(x) ( 0.43429448190325182765 * log(*(x)) )
  199. #define r_lg10(x) ( 0.43429448190325182765 * log(*(x)) )
  200. #define d_log(x) (log(*(x)))
  201. #define d_mod(x, y) (fmod(*(x), *(y)))
  202. #define u_nint(__x) ((__x)>=0 ? floor((__x) + .5) : -floor(.5 - (__x)))
  203. #define d_nint(x) u_nint(*(x))
  204. #define u_sign(__a,__b) ((__b) >= 0 ? ((__a) >= 0 ? (__a) : -(__a)) : -((__a) >= 0 ? (__a) : -(__a)))
  205. #define d_sign(a,b) u_sign(*(a),*(b))
  206. #define r_sign(a,b) u_sign(*(a),*(b))
  207. #define d_sin(x) (sin(*(x)))
  208. #define d_sinh(x) (sinh(*(x)))
  209. #define d_sqrt(x) (sqrt(*(x)))
  210. #define d_tan(x) (tan(*(x)))
  211. #define d_tanh(x) (tanh(*(x)))
  212. #define i_abs(x) abs(*(x))
  213. #define i_dnnt(x) ((integer)u_nint(*(x)))
  214. #define i_len(s, n) (n)
  215. #define i_nint(x) ((integer)u_nint(*(x)))
  216. #define i_sign(a,b) ((integer)u_sign((integer)*(a),(integer)*(b)))
  217. #define pow_dd(ap, bp) ( pow(*(ap), *(bp)))
  218. #define pow_si(B,E) spow_ui(*(B),*(E))
  219. #define pow_ri(B,E) spow_ui(*(B),*(E))
  220. #define pow_di(B,E) dpow_ui(*(B),*(E))
  221. #define pow_zi(p, a, b) {pCd(p) = zpow_ui(Cd(a), *(b));}
  222. #define pow_ci(p, a, b) {pCf(p) = cpow_ui(Cf(a), *(b));}
  223. #define pow_zz(R,A,B) {pCd(R) = cpow(Cd(A),*(B));}
  224. #define s_cat(lpp, rpp, rnp, np, llp) { ftnlen i, nc, ll; char *f__rp, *lp; ll = (llp); lp = (lpp); for(i=0; i < (int)*(np); ++i) { nc = ll; if((rnp)[i] < nc) nc = (rnp)[i]; ll -= nc; f__rp = (rpp)[i]; while(--nc >= 0) *lp++ = *(f__rp)++; } while(--ll >= 0) *lp++ = ' '; }
  225. #define s_cmp(a,b,c,d) ((integer)strncmp((a),(b),f2cmin((c),(d))))
  226. #define s_copy(A,B,C,D) { int __i,__m; for (__i=0, __m=f2cmin((C),(D)); __i<__m && (B)[__i] != 0; ++__i) (A)[__i] = (B)[__i]; }
  227. #define sig_die(s, kill) { exit(1); }
  228. #define s_stop(s, n) {exit(0);}
  229. static char junk[] = "\n@(#)LIBF77 VERSION 19990503\n";
  230. #define z_abs(z) (cabs(Cd(z)))
  231. #define z_exp(R, Z) {pCd(R) = cexp(Cd(Z));}
  232. #define z_sqrt(R, Z) {pCd(R) = csqrt(Cd(Z));}
  233. #define myexit_() break;
  234. #define mycycle() continue;
  235. #define myceiling(w) {ceil(w)}
  236. #define myhuge(w) {HUGE_VAL}
  237. //#define mymaxloc_(w,s,e,n) {if (sizeof(*(w)) == sizeof(double)) dmaxloc_((w),*(s),*(e),n); else dmaxloc_((w),*(s),*(e),n);}
  238. #define mymaxloc(w,s,e,n) {dmaxloc_(w,*(s),*(e),n)}
  239. /* procedure parameter types for -A and -C++ */
  240. #define F2C_proc_par_types 1
  241. #ifdef __cplusplus
  242. typedef logical (*L_fp)(...);
  243. #else
  244. typedef logical (*L_fp)();
  245. #endif
  246. static float spow_ui(float x, integer n) {
  247. float pow=1.0; unsigned long int u;
  248. if(n != 0) {
  249. if(n < 0) n = -n, x = 1/x;
  250. for(u = n; ; ) {
  251. if(u & 01) pow *= x;
  252. if(u >>= 1) x *= x;
  253. else break;
  254. }
  255. }
  256. return pow;
  257. }
  258. static double dpow_ui(double x, integer n) {
  259. double pow=1.0; unsigned long int u;
  260. if(n != 0) {
  261. if(n < 0) n = -n, x = 1/x;
  262. for(u = n; ; ) {
  263. if(u & 01) pow *= x;
  264. if(u >>= 1) x *= x;
  265. else break;
  266. }
  267. }
  268. return pow;
  269. }
  270. #ifdef _MSC_VER
  271. static _Fcomplex cpow_ui(complex x, integer n) {
  272. complex pow={1.0,0.0}; unsigned long int u;
  273. if(n != 0) {
  274. if(n < 0) n = -n, x.r = 1/x.r, x.i=1/x.i;
  275. for(u = n; ; ) {
  276. if(u & 01) pow.r *= x.r, pow.i *= x.i;
  277. if(u >>= 1) x.r *= x.r, x.i *= x.i;
  278. else break;
  279. }
  280. }
  281. _Fcomplex p={pow.r, pow.i};
  282. return p;
  283. }
  284. #else
  285. static _Complex float cpow_ui(_Complex float x, integer n) {
  286. _Complex float pow=1.0; unsigned long int u;
  287. if(n != 0) {
  288. if(n < 0) n = -n, x = 1/x;
  289. for(u = n; ; ) {
  290. if(u & 01) pow *= x;
  291. if(u >>= 1) x *= x;
  292. else break;
  293. }
  294. }
  295. return pow;
  296. }
  297. #endif
  298. #ifdef _MSC_VER
  299. static _Dcomplex zpow_ui(_Dcomplex x, integer n) {
  300. _Dcomplex pow={1.0,0.0}; unsigned long int u;
  301. if(n != 0) {
  302. if(n < 0) n = -n, x._Val[0] = 1/x._Val[0], x._Val[1] =1/x._Val[1];
  303. for(u = n; ; ) {
  304. if(u & 01) pow._Val[0] *= x._Val[0], pow._Val[1] *= x._Val[1];
  305. if(u >>= 1) x._Val[0] *= x._Val[0], x._Val[1] *= x._Val[1];
  306. else break;
  307. }
  308. }
  309. _Dcomplex p = {pow._Val[0], pow._Val[1]};
  310. return p;
  311. }
  312. #else
  313. static _Complex double zpow_ui(_Complex double x, integer n) {
  314. _Complex double pow=1.0; unsigned long int u;
  315. if(n != 0) {
  316. if(n < 0) n = -n, x = 1/x;
  317. for(u = n; ; ) {
  318. if(u & 01) pow *= x;
  319. if(u >>= 1) x *= x;
  320. else break;
  321. }
  322. }
  323. return pow;
  324. }
  325. #endif
  326. static integer pow_ii(integer x, integer n) {
  327. integer pow; unsigned long int u;
  328. if (n <= 0) {
  329. if (n == 0 || x == 1) pow = 1;
  330. else if (x != -1) pow = x == 0 ? 1/x : 0;
  331. else n = -n;
  332. }
  333. if ((n > 0) || !(n == 0 || x == 1 || x != -1)) {
  334. u = n;
  335. for(pow = 1; ; ) {
  336. if(u & 01) pow *= x;
  337. if(u >>= 1) x *= x;
  338. else break;
  339. }
  340. }
  341. return pow;
  342. }
  343. static integer dmaxloc_(double *w, integer s, integer e, integer *n)
  344. {
  345. double m; integer i, mi;
  346. for(m=w[s-1], mi=s, i=s+1; i<=e; i++)
  347. if (w[i-1]>m) mi=i ,m=w[i-1];
  348. return mi-s+1;
  349. }
  350. static integer smaxloc_(float *w, integer s, integer e, integer *n)
  351. {
  352. float m; integer i, mi;
  353. for(m=w[s-1], mi=s, i=s+1; i<=e; i++)
  354. if (w[i-1]>m) mi=i ,m=w[i-1];
  355. return mi-s+1;
  356. }
  357. static inline void cdotc_(complex *z, integer *n_, complex *x, integer *incx_, complex *y, integer *incy_) {
  358. integer n = *n_, incx = *incx_, incy = *incy_, i;
  359. #ifdef _MSC_VER
  360. _Fcomplex zdotc = {0.0, 0.0};
  361. if (incx == 1 && incy == 1) {
  362. for (i=0;i<n;i++) { /* zdotc = zdotc + dconjg(x(i))* y(i) */
  363. zdotc._Val[0] += conjf(Cf(&x[i]))._Val[0] * Cf(&y[i])._Val[0];
  364. zdotc._Val[1] += conjf(Cf(&x[i]))._Val[1] * Cf(&y[i])._Val[1];
  365. }
  366. } else {
  367. for (i=0;i<n;i++) { /* zdotc = zdotc + dconjg(x(i))* y(i) */
  368. zdotc._Val[0] += conjf(Cf(&x[i*incx]))._Val[0] * Cf(&y[i*incy])._Val[0];
  369. zdotc._Val[1] += conjf(Cf(&x[i*incx]))._Val[1] * Cf(&y[i*incy])._Val[1];
  370. }
  371. }
  372. pCf(z) = zdotc;
  373. }
  374. #else
  375. _Complex float zdotc = 0.0;
  376. if (incx == 1 && incy == 1) {
  377. for (i=0;i<n;i++) { /* zdotc = zdotc + dconjg(x(i))* y(i) */
  378. zdotc += conjf(Cf(&x[i])) * Cf(&y[i]);
  379. }
  380. } else {
  381. for (i=0;i<n;i++) { /* zdotc = zdotc + dconjg(x(i))* y(i) */
  382. zdotc += conjf(Cf(&x[i*incx])) * Cf(&y[i*incy]);
  383. }
  384. }
  385. pCf(z) = zdotc;
  386. }
  387. #endif
  388. static inline void zdotc_(doublecomplex *z, integer *n_, doublecomplex *x, integer *incx_, doublecomplex *y, integer *incy_) {
  389. integer n = *n_, incx = *incx_, incy = *incy_, i;
  390. #ifdef _MSC_VER
  391. _Dcomplex zdotc = {0.0, 0.0};
  392. if (incx == 1 && incy == 1) {
  393. for (i=0;i<n;i++) { /* zdotc = zdotc + dconjg(x(i))* y(i) */
  394. zdotc._Val[0] += conj(Cd(&x[i]))._Val[0] * Cd(&y[i])._Val[0];
  395. zdotc._Val[1] += conj(Cd(&x[i]))._Val[1] * Cd(&y[i])._Val[1];
  396. }
  397. } else {
  398. for (i=0;i<n;i++) { /* zdotc = zdotc + dconjg(x(i))* y(i) */
  399. zdotc._Val[0] += conj(Cd(&x[i*incx]))._Val[0] * Cd(&y[i*incy])._Val[0];
  400. zdotc._Val[1] += conj(Cd(&x[i*incx]))._Val[1] * Cd(&y[i*incy])._Val[1];
  401. }
  402. }
  403. pCd(z) = zdotc;
  404. }
  405. #else
  406. _Complex double zdotc = 0.0;
  407. if (incx == 1 && incy == 1) {
  408. for (i=0;i<n;i++) { /* zdotc = zdotc + dconjg(x(i))* y(i) */
  409. zdotc += conj(Cd(&x[i])) * Cd(&y[i]);
  410. }
  411. } else {
  412. for (i=0;i<n;i++) { /* zdotc = zdotc + dconjg(x(i))* y(i) */
  413. zdotc += conj(Cd(&x[i*incx])) * Cd(&y[i*incy]);
  414. }
  415. }
  416. pCd(z) = zdotc;
  417. }
  418. #endif
  419. static inline void cdotu_(complex *z, integer *n_, complex *x, integer *incx_, complex *y, integer *incy_) {
  420. integer n = *n_, incx = *incx_, incy = *incy_, i;
  421. #ifdef _MSC_VER
  422. _Fcomplex zdotc = {0.0, 0.0};
  423. if (incx == 1 && incy == 1) {
  424. for (i=0;i<n;i++) { /* zdotc = zdotc + dconjg(x(i))* y(i) */
  425. zdotc._Val[0] += Cf(&x[i])._Val[0] * Cf(&y[i])._Val[0];
  426. zdotc._Val[1] += Cf(&x[i])._Val[1] * Cf(&y[i])._Val[1];
  427. }
  428. } else {
  429. for (i=0;i<n;i++) { /* zdotc = zdotc + dconjg(x(i))* y(i) */
  430. zdotc._Val[0] += Cf(&x[i*incx])._Val[0] * Cf(&y[i*incy])._Val[0];
  431. zdotc._Val[1] += Cf(&x[i*incx])._Val[1] * Cf(&y[i*incy])._Val[1];
  432. }
  433. }
  434. pCf(z) = zdotc;
  435. }
  436. #else
  437. _Complex float zdotc = 0.0;
  438. if (incx == 1 && incy == 1) {
  439. for (i=0;i<n;i++) { /* zdotc = zdotc + dconjg(x(i))* y(i) */
  440. zdotc += Cf(&x[i]) * Cf(&y[i]);
  441. }
  442. } else {
  443. for (i=0;i<n;i++) { /* zdotc = zdotc + dconjg(x(i))* y(i) */
  444. zdotc += Cf(&x[i*incx]) * Cf(&y[i*incy]);
  445. }
  446. }
  447. pCf(z) = zdotc;
  448. }
  449. #endif
  450. static inline void zdotu_(doublecomplex *z, integer *n_, doublecomplex *x, integer *incx_, doublecomplex *y, integer *incy_) {
  451. integer n = *n_, incx = *incx_, incy = *incy_, i;
  452. #ifdef _MSC_VER
  453. _Dcomplex zdotc = {0.0, 0.0};
  454. if (incx == 1 && incy == 1) {
  455. for (i=0;i<n;i++) { /* zdotc = zdotc + dconjg(x(i))* y(i) */
  456. zdotc._Val[0] += Cd(&x[i])._Val[0] * Cd(&y[i])._Val[0];
  457. zdotc._Val[1] += Cd(&x[i])._Val[1] * Cd(&y[i])._Val[1];
  458. }
  459. } else {
  460. for (i=0;i<n;i++) { /* zdotc = zdotc + dconjg(x(i))* y(i) */
  461. zdotc._Val[0] += Cd(&x[i*incx])._Val[0] * Cd(&y[i*incy])._Val[0];
  462. zdotc._Val[1] += Cd(&x[i*incx])._Val[1] * Cd(&y[i*incy])._Val[1];
  463. }
  464. }
  465. pCd(z) = zdotc;
  466. }
  467. #else
  468. _Complex double zdotc = 0.0;
  469. if (incx == 1 && incy == 1) {
  470. for (i=0;i<n;i++) { /* zdotc = zdotc + dconjg(x(i))* y(i) */
  471. zdotc += Cd(&x[i]) * Cd(&y[i]);
  472. }
  473. } else {
  474. for (i=0;i<n;i++) { /* zdotc = zdotc + dconjg(x(i))* y(i) */
  475. zdotc += Cd(&x[i*incx]) * Cd(&y[i*incy]);
  476. }
  477. }
  478. pCd(z) = zdotc;
  479. }
  480. #endif
  481. /* -- translated by f2c (version 20000121).
  482. You must link the resulting object file with the libraries:
  483. -lf2c -lm (in that order)
  484. */
  485. /* Table of constant values */
  486. static doublereal c_b15 = -.125;
  487. static integer c__1 = 1;
  488. static doublereal c_b49 = 1.;
  489. static doublereal c_b72 = -1.;
  490. /* > \brief \b ZBDSQR */
  491. /* =========== DOCUMENTATION =========== */
  492. /* Online html documentation available at */
  493. /* http://www.netlib.org/lapack/explore-html/ */
  494. /* > \htmlonly */
  495. /* > Download ZBDSQR + dependencies */
  496. /* > <a href="http://www.netlib.org/cgi-bin/netlibfiles.tgz?format=tgz&filename=/lapack/lapack_routine/zbdsqr.
  497. f"> */
  498. /* > [TGZ]</a> */
  499. /* > <a href="http://www.netlib.org/cgi-bin/netlibfiles.zip?format=zip&filename=/lapack/lapack_routine/zbdsqr.
  500. f"> */
  501. /* > [ZIP]</a> */
  502. /* > <a href="http://www.netlib.org/cgi-bin/netlibfiles.txt?format=txt&filename=/lapack/lapack_routine/zbdsqr.
  503. f"> */
  504. /* > [TXT]</a> */
  505. /* > \endhtmlonly */
  506. /* Definition: */
  507. /* =========== */
  508. /* SUBROUTINE ZBDSQR( UPLO, N, NCVT, NRU, NCC, D, E, VT, LDVT, U, */
  509. /* LDU, C, LDC, RWORK, INFO ) */
  510. /* CHARACTER UPLO */
  511. /* INTEGER INFO, LDC, LDU, LDVT, N, NCC, NCVT, NRU */
  512. /* DOUBLE PRECISION D( * ), E( * ), RWORK( * ) */
  513. /* COMPLEX*16 C( LDC, * ), U( LDU, * ), VT( LDVT, * ) */
  514. /* > \par Purpose: */
  515. /* ============= */
  516. /* > */
  517. /* > \verbatim */
  518. /* > */
  519. /* > ZBDSQR computes the singular values and, optionally, the right and/or */
  520. /* > left singular vectors from the singular value decomposition (SVD) of */
  521. /* > a real N-by-N (upper or lower) bidiagonal matrix B using the implicit */
  522. /* > zero-shift QR algorithm. The SVD of B has the form */
  523. /* > */
  524. /* > B = Q * S * P**H */
  525. /* > */
  526. /* > where S is the diagonal matrix of singular values, Q is an orthogonal */
  527. /* > matrix of left singular vectors, and P is an orthogonal matrix of */
  528. /* > right singular vectors. If left singular vectors are requested, this */
  529. /* > subroutine actually returns U*Q instead of Q, and, if right singular */
  530. /* > vectors are requested, this subroutine returns P**H*VT instead of */
  531. /* > P**H, for given complex input matrices U and VT. When U and VT are */
  532. /* > the unitary matrices that reduce a general matrix A to bidiagonal */
  533. /* > form: A = U*B*VT, as computed by ZGEBRD, then */
  534. /* > */
  535. /* > A = (U*Q) * S * (P**H*VT) */
  536. /* > */
  537. /* > is the SVD of A. Optionally, the subroutine may also compute Q**H*C */
  538. /* > for a given complex input matrix C. */
  539. /* > */
  540. /* > See "Computing Small Singular Values of Bidiagonal Matrices With */
  541. /* > Guaranteed High Relative Accuracy," by J. Demmel and W. Kahan, */
  542. /* > LAPACK Working Note #3 (or SIAM J. Sci. Statist. Comput. vol. 11, */
  543. /* > no. 5, pp. 873-912, Sept 1990) and */
  544. /* > "Accurate singular values and differential qd algorithms," by */
  545. /* > B. Parlett and V. Fernando, Technical Report CPAM-554, Mathematics */
  546. /* > Department, University of California at Berkeley, July 1992 */
  547. /* > for a detailed description of the algorithm. */
  548. /* > \endverbatim */
  549. /* Arguments: */
  550. /* ========== */
  551. /* > \param[in] UPLO */
  552. /* > \verbatim */
  553. /* > UPLO is CHARACTER*1 */
  554. /* > = 'U': B is upper bidiagonal; */
  555. /* > = 'L': B is lower bidiagonal. */
  556. /* > \endverbatim */
  557. /* > */
  558. /* > \param[in] N */
  559. /* > \verbatim */
  560. /* > N is INTEGER */
  561. /* > The order of the matrix B. N >= 0. */
  562. /* > \endverbatim */
  563. /* > */
  564. /* > \param[in] NCVT */
  565. /* > \verbatim */
  566. /* > NCVT is INTEGER */
  567. /* > The number of columns of the matrix VT. NCVT >= 0. */
  568. /* > \endverbatim */
  569. /* > */
  570. /* > \param[in] NRU */
  571. /* > \verbatim */
  572. /* > NRU is INTEGER */
  573. /* > The number of rows of the matrix U. NRU >= 0. */
  574. /* > \endverbatim */
  575. /* > */
  576. /* > \param[in] NCC */
  577. /* > \verbatim */
  578. /* > NCC is INTEGER */
  579. /* > The number of columns of the matrix C. NCC >= 0. */
  580. /* > \endverbatim */
  581. /* > */
  582. /* > \param[in,out] D */
  583. /* > \verbatim */
  584. /* > D is DOUBLE PRECISION array, dimension (N) */
  585. /* > On entry, the n diagonal elements of the bidiagonal matrix B. */
  586. /* > On exit, if INFO=0, the singular values of B in decreasing */
  587. /* > order. */
  588. /* > \endverbatim */
  589. /* > */
  590. /* > \param[in,out] E */
  591. /* > \verbatim */
  592. /* > E is DOUBLE PRECISION array, dimension (N-1) */
  593. /* > On entry, the N-1 offdiagonal elements of the bidiagonal */
  594. /* > matrix B. */
  595. /* > On exit, if INFO = 0, E is destroyed; if INFO > 0, D and E */
  596. /* > will contain the diagonal and superdiagonal elements of a */
  597. /* > bidiagonal matrix orthogonally equivalent to the one given */
  598. /* > as input. */
  599. /* > \endverbatim */
  600. /* > */
  601. /* > \param[in,out] VT */
  602. /* > \verbatim */
  603. /* > VT is COMPLEX*16 array, dimension (LDVT, NCVT) */
  604. /* > On entry, an N-by-NCVT matrix VT. */
  605. /* > On exit, VT is overwritten by P**H * VT. */
  606. /* > Not referenced if NCVT = 0. */
  607. /* > \endverbatim */
  608. /* > */
  609. /* > \param[in] LDVT */
  610. /* > \verbatim */
  611. /* > LDVT is INTEGER */
  612. /* > The leading dimension of the array VT. */
  613. /* > LDVT >= f2cmax(1,N) if NCVT > 0; LDVT >= 1 if NCVT = 0. */
  614. /* > \endverbatim */
  615. /* > */
  616. /* > \param[in,out] U */
  617. /* > \verbatim */
  618. /* > U is COMPLEX*16 array, dimension (LDU, N) */
  619. /* > On entry, an NRU-by-N matrix U. */
  620. /* > On exit, U is overwritten by U * Q. */
  621. /* > Not referenced if NRU = 0. */
  622. /* > \endverbatim */
  623. /* > */
  624. /* > \param[in] LDU */
  625. /* > \verbatim */
  626. /* > LDU is INTEGER */
  627. /* > The leading dimension of the array U. LDU >= f2cmax(1,NRU). */
  628. /* > \endverbatim */
  629. /* > */
  630. /* > \param[in,out] C */
  631. /* > \verbatim */
  632. /* > C is COMPLEX*16 array, dimension (LDC, NCC) */
  633. /* > On entry, an N-by-NCC matrix C. */
  634. /* > On exit, C is overwritten by Q**H * C. */
  635. /* > Not referenced if NCC = 0. */
  636. /* > \endverbatim */
  637. /* > */
  638. /* > \param[in] LDC */
  639. /* > \verbatim */
  640. /* > LDC is INTEGER */
  641. /* > The leading dimension of the array C. */
  642. /* > LDC >= f2cmax(1,N) if NCC > 0; LDC >=1 if NCC = 0. */
  643. /* > \endverbatim */
  644. /* > */
  645. /* > \param[out] RWORK */
  646. /* > \verbatim */
  647. /* > RWORK is DOUBLE PRECISION array, dimension (4*N) */
  648. /* > \endverbatim */
  649. /* > */
  650. /* > \param[out] INFO */
  651. /* > \verbatim */
  652. /* > INFO is INTEGER */
  653. /* > = 0: successful exit */
  654. /* > < 0: If INFO = -i, the i-th argument had an illegal value */
  655. /* > > 0: the algorithm did not converge; D and E contain the */
  656. /* > elements of a bidiagonal matrix which is orthogonally */
  657. /* > similar to the input matrix B; if INFO = i, i */
  658. /* > elements of E have not converged to zero. */
  659. /* > \endverbatim */
  660. /* > \par Internal Parameters: */
  661. /* ========================= */
  662. /* > */
  663. /* > \verbatim */
  664. /* > TOLMUL DOUBLE PRECISION, default = f2cmax(10,f2cmin(100,EPS**(-1/8))) */
  665. /* > TOLMUL controls the convergence criterion of the QR loop. */
  666. /* > If it is positive, TOLMUL*EPS is the desired relative */
  667. /* > precision in the computed singular values. */
  668. /* > If it is negative, abs(TOLMUL*EPS*sigma_max) is the */
  669. /* > desired absolute accuracy in the computed singular */
  670. /* > values (corresponds to relative accuracy */
  671. /* > abs(TOLMUL*EPS) in the largest singular value. */
  672. /* > abs(TOLMUL) should be between 1 and 1/EPS, and preferably */
  673. /* > between 10 (for fast convergence) and .1/EPS */
  674. /* > (for there to be some accuracy in the results). */
  675. /* > Default is to lose at either one eighth or 2 of the */
  676. /* > available decimal digits in each computed singular value */
  677. /* > (whichever is smaller). */
  678. /* > */
  679. /* > MAXITR INTEGER, default = 6 */
  680. /* > MAXITR controls the maximum number of passes of the */
  681. /* > algorithm through its inner loop. The algorithms stops */
  682. /* > (and so fails to converge) if the number of passes */
  683. /* > through the inner loop exceeds MAXITR*N**2. */
  684. /* > \endverbatim */
  685. /* Authors: */
  686. /* ======== */
  687. /* > \author Univ. of Tennessee */
  688. /* > \author Univ. of California Berkeley */
  689. /* > \author Univ. of Colorado Denver */
  690. /* > \author NAG Ltd. */
  691. /* > \date December 2016 */
  692. /* > \ingroup complex16OTHERcomputational */
  693. /* ===================================================================== */
  694. /* Subroutine */ void zbdsqr_(char *uplo, integer *n, integer *ncvt, integer *
  695. nru, integer *ncc, doublereal *d__, doublereal *e, doublecomplex *vt,
  696. integer *ldvt, doublecomplex *u, integer *ldu, doublecomplex *c__,
  697. integer *ldc, doublereal *rwork, integer *info)
  698. {
  699. /* System generated locals */
  700. integer c_dim1, c_offset, u_dim1, u_offset, vt_dim1, vt_offset, i__1,
  701. i__2;
  702. doublereal d__1, d__2, d__3, d__4;
  703. /* Local variables */
  704. doublereal abse;
  705. integer idir;
  706. doublereal abss;
  707. integer oldm;
  708. doublereal cosl;
  709. integer isub, iter;
  710. doublereal unfl, sinl, cosr, smin, smax, sinr;
  711. extern /* Subroutine */ void dlas2_(doublereal *, doublereal *, doublereal
  712. *, doublereal *, doublereal *);
  713. doublereal f, g, h__;
  714. integer i__, j, m;
  715. doublereal r__;
  716. extern logical lsame_(char *, char *);
  717. doublereal oldcs;
  718. integer oldll;
  719. doublereal shift, sigmn, oldsn;
  720. integer maxit;
  721. doublereal sminl, sigmx;
  722. logical lower;
  723. extern /* Subroutine */ void zlasr_(char *, char *, char *, integer *,
  724. integer *, doublereal *, doublereal *, doublecomplex *, integer *), zdrot_(integer *, doublecomplex *,
  725. integer *, doublecomplex *, integer *, doublereal *, doublereal *)
  726. , zswap_(integer *, doublecomplex *, integer *, doublecomplex *,
  727. integer *), dlasq1_(integer *, doublereal *, doublereal *,
  728. doublereal *, integer *), dlasv2_(doublereal *, doublereal *,
  729. doublereal *, doublereal *, doublereal *, doublereal *,
  730. doublereal *, doublereal *, doublereal *);
  731. doublereal cs;
  732. integer ll;
  733. extern doublereal dlamch_(char *);
  734. doublereal sn, mu;
  735. extern /* Subroutine */ void dlartg_(doublereal *, doublereal *,
  736. doublereal *, doublereal *, doublereal *);
  737. extern int xerbla_(char *, integer *, ftnlen);
  738. extern void zdscal_(integer *, doublereal *,
  739. doublecomplex *, integer *);
  740. doublereal sminoa, thresh;
  741. logical rotate;
  742. integer nm1;
  743. doublereal tolmul;
  744. integer nm12, nm13, lll;
  745. doublereal eps, sll, tol;
  746. /* -- LAPACK computational routine (version 3.7.0) -- */
  747. /* -- LAPACK is a software package provided by Univ. of Tennessee, -- */
  748. /* -- Univ. of California Berkeley, Univ. of Colorado Denver and NAG Ltd..-- */
  749. /* December 2016 */
  750. /* ===================================================================== */
  751. /* Test the input parameters. */
  752. /* Parameter adjustments */
  753. --d__;
  754. --e;
  755. vt_dim1 = *ldvt;
  756. vt_offset = 1 + vt_dim1 * 1;
  757. vt -= vt_offset;
  758. u_dim1 = *ldu;
  759. u_offset = 1 + u_dim1 * 1;
  760. u -= u_offset;
  761. c_dim1 = *ldc;
  762. c_offset = 1 + c_dim1 * 1;
  763. c__ -= c_offset;
  764. --rwork;
  765. /* Function Body */
  766. *info = 0;
  767. lower = lsame_(uplo, "L");
  768. if (! lsame_(uplo, "U") && ! lower) {
  769. *info = -1;
  770. } else if (*n < 0) {
  771. *info = -2;
  772. } else if (*ncvt < 0) {
  773. *info = -3;
  774. } else if (*nru < 0) {
  775. *info = -4;
  776. } else if (*ncc < 0) {
  777. *info = -5;
  778. } else if (*ncvt == 0 && *ldvt < 1 || *ncvt > 0 && *ldvt < f2cmax(1,*n)) {
  779. *info = -9;
  780. } else if (*ldu < f2cmax(1,*nru)) {
  781. *info = -11;
  782. } else if (*ncc == 0 && *ldc < 1 || *ncc > 0 && *ldc < f2cmax(1,*n)) {
  783. *info = -13;
  784. }
  785. if (*info != 0) {
  786. i__1 = -(*info);
  787. xerbla_("ZBDSQR", &i__1, (ftnlen)6);
  788. return;
  789. }
  790. if (*n == 0) {
  791. return;
  792. }
  793. if (*n == 1) {
  794. goto L160;
  795. }
  796. /* ROTATE is true if any singular vectors desired, false otherwise */
  797. rotate = *ncvt > 0 || *nru > 0 || *ncc > 0;
  798. /* If no singular vectors desired, use qd algorithm */
  799. if (! rotate) {
  800. dlasq1_(n, &d__[1], &e[1], &rwork[1], info);
  801. /* If INFO equals 2, dqds didn't finish, try to finish */
  802. if (*info != 2) {
  803. return;
  804. }
  805. *info = 0;
  806. }
  807. nm1 = *n - 1;
  808. nm12 = nm1 + nm1;
  809. nm13 = nm12 + nm1;
  810. idir = 0;
  811. /* Get machine constants */
  812. eps = dlamch_("Epsilon");
  813. unfl = dlamch_("Safe minimum");
  814. /* If matrix lower bidiagonal, rotate to be upper bidiagonal */
  815. /* by applying Givens rotations on the left */
  816. if (lower) {
  817. i__1 = *n - 1;
  818. for (i__ = 1; i__ <= i__1; ++i__) {
  819. dlartg_(&d__[i__], &e[i__], &cs, &sn, &r__);
  820. d__[i__] = r__;
  821. e[i__] = sn * d__[i__ + 1];
  822. d__[i__ + 1] = cs * d__[i__ + 1];
  823. rwork[i__] = cs;
  824. rwork[nm1 + i__] = sn;
  825. /* L10: */
  826. }
  827. /* Update singular vectors if desired */
  828. if (*nru > 0) {
  829. zlasr_("R", "V", "F", nru, n, &rwork[1], &rwork[*n], &u[u_offset],
  830. ldu);
  831. }
  832. if (*ncc > 0) {
  833. zlasr_("L", "V", "F", n, ncc, &rwork[1], &rwork[*n], &c__[
  834. c_offset], ldc);
  835. }
  836. }
  837. /* Compute singular values to relative accuracy TOL */
  838. /* (By setting TOL to be negative, algorithm will compute */
  839. /* singular values to absolute accuracy ABS(TOL)*norm(input matrix)) */
  840. /* Computing MAX */
  841. /* Computing MIN */
  842. d__3 = 100., d__4 = pow_dd(&eps, &c_b15);
  843. d__1 = 10., d__2 = f2cmin(d__3,d__4);
  844. tolmul = f2cmax(d__1,d__2);
  845. tol = tolmul * eps;
  846. /* Compute approximate maximum, minimum singular values */
  847. smax = 0.;
  848. i__1 = *n;
  849. for (i__ = 1; i__ <= i__1; ++i__) {
  850. /* Computing MAX */
  851. d__2 = smax, d__3 = (d__1 = d__[i__], abs(d__1));
  852. smax = f2cmax(d__2,d__3);
  853. /* L20: */
  854. }
  855. i__1 = *n - 1;
  856. for (i__ = 1; i__ <= i__1; ++i__) {
  857. /* Computing MAX */
  858. d__2 = smax, d__3 = (d__1 = e[i__], abs(d__1));
  859. smax = f2cmax(d__2,d__3);
  860. /* L30: */
  861. }
  862. sminl = 0.;
  863. if (tol >= 0.) {
  864. /* Relative accuracy desired */
  865. sminoa = abs(d__[1]);
  866. if (sminoa == 0.) {
  867. goto L50;
  868. }
  869. mu = sminoa;
  870. i__1 = *n;
  871. for (i__ = 2; i__ <= i__1; ++i__) {
  872. mu = (d__2 = d__[i__], abs(d__2)) * (mu / (mu + (d__1 = e[i__ - 1]
  873. , abs(d__1))));
  874. sminoa = f2cmin(sminoa,mu);
  875. if (sminoa == 0.) {
  876. goto L50;
  877. }
  878. /* L40: */
  879. }
  880. L50:
  881. sminoa /= sqrt((doublereal) (*n));
  882. /* Computing MAX */
  883. d__1 = tol * sminoa, d__2 = *n * 6 * *n * unfl;
  884. thresh = f2cmax(d__1,d__2);
  885. } else {
  886. /* Absolute accuracy desired */
  887. /* Computing MAX */
  888. d__1 = abs(tol) * smax, d__2 = *n * 6 * *n * unfl;
  889. thresh = f2cmax(d__1,d__2);
  890. }
  891. /* Prepare for main iteration loop for the singular values */
  892. /* (MAXIT is the maximum number of passes through the inner */
  893. /* loop permitted before nonconvergence signalled.) */
  894. maxit = *n * 6 * *n;
  895. iter = 0;
  896. oldll = -1;
  897. oldm = -1;
  898. /* M points to last element of unconverged part of matrix */
  899. m = *n;
  900. /* Begin main iteration loop */
  901. L60:
  902. /* Check for convergence or exceeding iteration count */
  903. if (m <= 1) {
  904. goto L160;
  905. }
  906. if (iter > maxit) {
  907. goto L200;
  908. }
  909. /* Find diagonal block of matrix to work on */
  910. if (tol < 0. && (d__1 = d__[m], abs(d__1)) <= thresh) {
  911. d__[m] = 0.;
  912. }
  913. smax = (d__1 = d__[m], abs(d__1));
  914. smin = smax;
  915. i__1 = m - 1;
  916. for (lll = 1; lll <= i__1; ++lll) {
  917. ll = m - lll;
  918. abss = (d__1 = d__[ll], abs(d__1));
  919. abse = (d__1 = e[ll], abs(d__1));
  920. if (tol < 0. && abss <= thresh) {
  921. d__[ll] = 0.;
  922. }
  923. if (abse <= thresh) {
  924. goto L80;
  925. }
  926. smin = f2cmin(smin,abss);
  927. /* Computing MAX */
  928. d__1 = f2cmax(smax,abss);
  929. smax = f2cmax(d__1,abse);
  930. /* L70: */
  931. }
  932. ll = 0;
  933. goto L90;
  934. L80:
  935. e[ll] = 0.;
  936. /* Matrix splits since E(LL) = 0 */
  937. if (ll == m - 1) {
  938. /* Convergence of bottom singular value, return to top of loop */
  939. --m;
  940. goto L60;
  941. }
  942. L90:
  943. ++ll;
  944. /* E(LL) through E(M-1) are nonzero, E(LL-1) is zero */
  945. if (ll == m - 1) {
  946. /* 2 by 2 block, handle separately */
  947. dlasv2_(&d__[m - 1], &e[m - 1], &d__[m], &sigmn, &sigmx, &sinr, &cosr,
  948. &sinl, &cosl);
  949. d__[m - 1] = sigmx;
  950. e[m - 1] = 0.;
  951. d__[m] = sigmn;
  952. /* Compute singular vectors, if desired */
  953. if (*ncvt > 0) {
  954. zdrot_(ncvt, &vt[m - 1 + vt_dim1], ldvt, &vt[m + vt_dim1], ldvt, &
  955. cosr, &sinr);
  956. }
  957. if (*nru > 0) {
  958. zdrot_(nru, &u[(m - 1) * u_dim1 + 1], &c__1, &u[m * u_dim1 + 1], &
  959. c__1, &cosl, &sinl);
  960. }
  961. if (*ncc > 0) {
  962. zdrot_(ncc, &c__[m - 1 + c_dim1], ldc, &c__[m + c_dim1], ldc, &
  963. cosl, &sinl);
  964. }
  965. m += -2;
  966. goto L60;
  967. }
  968. /* If working on new submatrix, choose shift direction */
  969. /* (from larger end diagonal element towards smaller) */
  970. if (ll > oldm || m < oldll) {
  971. if ((d__1 = d__[ll], abs(d__1)) >= (d__2 = d__[m], abs(d__2))) {
  972. /* Chase bulge from top (big end) to bottom (small end) */
  973. idir = 1;
  974. } else {
  975. /* Chase bulge from bottom (big end) to top (small end) */
  976. idir = 2;
  977. }
  978. }
  979. /* Apply convergence tests */
  980. if (idir == 1) {
  981. /* Run convergence test in forward direction */
  982. /* First apply standard test to bottom of matrix */
  983. if ((d__2 = e[m - 1], abs(d__2)) <= abs(tol) * (d__1 = d__[m], abs(
  984. d__1)) || tol < 0. && (d__3 = e[m - 1], abs(d__3)) <= thresh)
  985. {
  986. e[m - 1] = 0.;
  987. goto L60;
  988. }
  989. if (tol >= 0.) {
  990. /* If relative accuracy desired, */
  991. /* apply convergence criterion forward */
  992. mu = (d__1 = d__[ll], abs(d__1));
  993. sminl = mu;
  994. i__1 = m - 1;
  995. for (lll = ll; lll <= i__1; ++lll) {
  996. if ((d__1 = e[lll], abs(d__1)) <= tol * mu) {
  997. e[lll] = 0.;
  998. goto L60;
  999. }
  1000. mu = (d__2 = d__[lll + 1], abs(d__2)) * (mu / (mu + (d__1 = e[
  1001. lll], abs(d__1))));
  1002. sminl = f2cmin(sminl,mu);
  1003. /* L100: */
  1004. }
  1005. }
  1006. } else {
  1007. /* Run convergence test in backward direction */
  1008. /* First apply standard test to top of matrix */
  1009. if ((d__2 = e[ll], abs(d__2)) <= abs(tol) * (d__1 = d__[ll], abs(d__1)
  1010. ) || tol < 0. && (d__3 = e[ll], abs(d__3)) <= thresh) {
  1011. e[ll] = 0.;
  1012. goto L60;
  1013. }
  1014. if (tol >= 0.) {
  1015. /* If relative accuracy desired, */
  1016. /* apply convergence criterion backward */
  1017. mu = (d__1 = d__[m], abs(d__1));
  1018. sminl = mu;
  1019. i__1 = ll;
  1020. for (lll = m - 1; lll >= i__1; --lll) {
  1021. if ((d__1 = e[lll], abs(d__1)) <= tol * mu) {
  1022. e[lll] = 0.;
  1023. goto L60;
  1024. }
  1025. mu = (d__2 = d__[lll], abs(d__2)) * (mu / (mu + (d__1 = e[lll]
  1026. , abs(d__1))));
  1027. sminl = f2cmin(sminl,mu);
  1028. /* L110: */
  1029. }
  1030. }
  1031. }
  1032. oldll = ll;
  1033. oldm = m;
  1034. /* Compute shift. First, test if shifting would ruin relative */
  1035. /* accuracy, and if so set the shift to zero. */
  1036. /* Computing MAX */
  1037. d__1 = eps, d__2 = tol * .01;
  1038. if (tol >= 0. && *n * tol * (sminl / smax) <= f2cmax(d__1,d__2)) {
  1039. /* Use a zero shift to avoid loss of relative accuracy */
  1040. shift = 0.;
  1041. } else {
  1042. /* Compute the shift from 2-by-2 block at end of matrix */
  1043. if (idir == 1) {
  1044. sll = (d__1 = d__[ll], abs(d__1));
  1045. dlas2_(&d__[m - 1], &e[m - 1], &d__[m], &shift, &r__);
  1046. } else {
  1047. sll = (d__1 = d__[m], abs(d__1));
  1048. dlas2_(&d__[ll], &e[ll], &d__[ll + 1], &shift, &r__);
  1049. }
  1050. /* Test if shift negligible, and if so set to zero */
  1051. if (sll > 0.) {
  1052. /* Computing 2nd power */
  1053. d__1 = shift / sll;
  1054. if (d__1 * d__1 < eps) {
  1055. shift = 0.;
  1056. }
  1057. }
  1058. }
  1059. /* Increment iteration count */
  1060. iter = iter + m - ll;
  1061. /* If SHIFT = 0, do simplified QR iteration */
  1062. if (shift == 0.) {
  1063. if (idir == 1) {
  1064. /* Chase bulge from top to bottom */
  1065. /* Save cosines and sines for later singular vector updates */
  1066. cs = 1.;
  1067. oldcs = 1.;
  1068. i__1 = m - 1;
  1069. for (i__ = ll; i__ <= i__1; ++i__) {
  1070. d__1 = d__[i__] * cs;
  1071. dlartg_(&d__1, &e[i__], &cs, &sn, &r__);
  1072. if (i__ > ll) {
  1073. e[i__ - 1] = oldsn * r__;
  1074. }
  1075. d__1 = oldcs * r__;
  1076. d__2 = d__[i__ + 1] * sn;
  1077. dlartg_(&d__1, &d__2, &oldcs, &oldsn, &d__[i__]);
  1078. rwork[i__ - ll + 1] = cs;
  1079. rwork[i__ - ll + 1 + nm1] = sn;
  1080. rwork[i__ - ll + 1 + nm12] = oldcs;
  1081. rwork[i__ - ll + 1 + nm13] = oldsn;
  1082. /* L120: */
  1083. }
  1084. h__ = d__[m] * cs;
  1085. d__[m] = h__ * oldcs;
  1086. e[m - 1] = h__ * oldsn;
  1087. /* Update singular vectors */
  1088. if (*ncvt > 0) {
  1089. i__1 = m - ll + 1;
  1090. zlasr_("L", "V", "F", &i__1, ncvt, &rwork[1], &rwork[*n], &vt[
  1091. ll + vt_dim1], ldvt);
  1092. }
  1093. if (*nru > 0) {
  1094. i__1 = m - ll + 1;
  1095. zlasr_("R", "V", "F", nru, &i__1, &rwork[nm12 + 1], &rwork[
  1096. nm13 + 1], &u[ll * u_dim1 + 1], ldu);
  1097. }
  1098. if (*ncc > 0) {
  1099. i__1 = m - ll + 1;
  1100. zlasr_("L", "V", "F", &i__1, ncc, &rwork[nm12 + 1], &rwork[
  1101. nm13 + 1], &c__[ll + c_dim1], ldc);
  1102. }
  1103. /* Test convergence */
  1104. if ((d__1 = e[m - 1], abs(d__1)) <= thresh) {
  1105. e[m - 1] = 0.;
  1106. }
  1107. } else {
  1108. /* Chase bulge from bottom to top */
  1109. /* Save cosines and sines for later singular vector updates */
  1110. cs = 1.;
  1111. oldcs = 1.;
  1112. i__1 = ll + 1;
  1113. for (i__ = m; i__ >= i__1; --i__) {
  1114. d__1 = d__[i__] * cs;
  1115. dlartg_(&d__1, &e[i__ - 1], &cs, &sn, &r__);
  1116. if (i__ < m) {
  1117. e[i__] = oldsn * r__;
  1118. }
  1119. d__1 = oldcs * r__;
  1120. d__2 = d__[i__ - 1] * sn;
  1121. dlartg_(&d__1, &d__2, &oldcs, &oldsn, &d__[i__]);
  1122. rwork[i__ - ll] = cs;
  1123. rwork[i__ - ll + nm1] = -sn;
  1124. rwork[i__ - ll + nm12] = oldcs;
  1125. rwork[i__ - ll + nm13] = -oldsn;
  1126. /* L130: */
  1127. }
  1128. h__ = d__[ll] * cs;
  1129. d__[ll] = h__ * oldcs;
  1130. e[ll] = h__ * oldsn;
  1131. /* Update singular vectors */
  1132. if (*ncvt > 0) {
  1133. i__1 = m - ll + 1;
  1134. zlasr_("L", "V", "B", &i__1, ncvt, &rwork[nm12 + 1], &rwork[
  1135. nm13 + 1], &vt[ll + vt_dim1], ldvt);
  1136. }
  1137. if (*nru > 0) {
  1138. i__1 = m - ll + 1;
  1139. zlasr_("R", "V", "B", nru, &i__1, &rwork[1], &rwork[*n], &u[
  1140. ll * u_dim1 + 1], ldu);
  1141. }
  1142. if (*ncc > 0) {
  1143. i__1 = m - ll + 1;
  1144. zlasr_("L", "V", "B", &i__1, ncc, &rwork[1], &rwork[*n], &c__[
  1145. ll + c_dim1], ldc);
  1146. }
  1147. /* Test convergence */
  1148. if ((d__1 = e[ll], abs(d__1)) <= thresh) {
  1149. e[ll] = 0.;
  1150. }
  1151. }
  1152. } else {
  1153. /* Use nonzero shift */
  1154. if (idir == 1) {
  1155. /* Chase bulge from top to bottom */
  1156. /* Save cosines and sines for later singular vector updates */
  1157. f = ((d__1 = d__[ll], abs(d__1)) - shift) * (d_sign(&c_b49, &d__[
  1158. ll]) + shift / d__[ll]);
  1159. g = e[ll];
  1160. i__1 = m - 1;
  1161. for (i__ = ll; i__ <= i__1; ++i__) {
  1162. dlartg_(&f, &g, &cosr, &sinr, &r__);
  1163. if (i__ > ll) {
  1164. e[i__ - 1] = r__;
  1165. }
  1166. f = cosr * d__[i__] + sinr * e[i__];
  1167. e[i__] = cosr * e[i__] - sinr * d__[i__];
  1168. g = sinr * d__[i__ + 1];
  1169. d__[i__ + 1] = cosr * d__[i__ + 1];
  1170. dlartg_(&f, &g, &cosl, &sinl, &r__);
  1171. d__[i__] = r__;
  1172. f = cosl * e[i__] + sinl * d__[i__ + 1];
  1173. d__[i__ + 1] = cosl * d__[i__ + 1] - sinl * e[i__];
  1174. if (i__ < m - 1) {
  1175. g = sinl * e[i__ + 1];
  1176. e[i__ + 1] = cosl * e[i__ + 1];
  1177. }
  1178. rwork[i__ - ll + 1] = cosr;
  1179. rwork[i__ - ll + 1 + nm1] = sinr;
  1180. rwork[i__ - ll + 1 + nm12] = cosl;
  1181. rwork[i__ - ll + 1 + nm13] = sinl;
  1182. /* L140: */
  1183. }
  1184. e[m - 1] = f;
  1185. /* Update singular vectors */
  1186. if (*ncvt > 0) {
  1187. i__1 = m - ll + 1;
  1188. zlasr_("L", "V", "F", &i__1, ncvt, &rwork[1], &rwork[*n], &vt[
  1189. ll + vt_dim1], ldvt);
  1190. }
  1191. if (*nru > 0) {
  1192. i__1 = m - ll + 1;
  1193. zlasr_("R", "V", "F", nru, &i__1, &rwork[nm12 + 1], &rwork[
  1194. nm13 + 1], &u[ll * u_dim1 + 1], ldu);
  1195. }
  1196. if (*ncc > 0) {
  1197. i__1 = m - ll + 1;
  1198. zlasr_("L", "V", "F", &i__1, ncc, &rwork[nm12 + 1], &rwork[
  1199. nm13 + 1], &c__[ll + c_dim1], ldc);
  1200. }
  1201. /* Test convergence */
  1202. if ((d__1 = e[m - 1], abs(d__1)) <= thresh) {
  1203. e[m - 1] = 0.;
  1204. }
  1205. } else {
  1206. /* Chase bulge from bottom to top */
  1207. /* Save cosines and sines for later singular vector updates */
  1208. f = ((d__1 = d__[m], abs(d__1)) - shift) * (d_sign(&c_b49, &d__[m]
  1209. ) + shift / d__[m]);
  1210. g = e[m - 1];
  1211. i__1 = ll + 1;
  1212. for (i__ = m; i__ >= i__1; --i__) {
  1213. dlartg_(&f, &g, &cosr, &sinr, &r__);
  1214. if (i__ < m) {
  1215. e[i__] = r__;
  1216. }
  1217. f = cosr * d__[i__] + sinr * e[i__ - 1];
  1218. e[i__ - 1] = cosr * e[i__ - 1] - sinr * d__[i__];
  1219. g = sinr * d__[i__ - 1];
  1220. d__[i__ - 1] = cosr * d__[i__ - 1];
  1221. dlartg_(&f, &g, &cosl, &sinl, &r__);
  1222. d__[i__] = r__;
  1223. f = cosl * e[i__ - 1] + sinl * d__[i__ - 1];
  1224. d__[i__ - 1] = cosl * d__[i__ - 1] - sinl * e[i__ - 1];
  1225. if (i__ > ll + 1) {
  1226. g = sinl * e[i__ - 2];
  1227. e[i__ - 2] = cosl * e[i__ - 2];
  1228. }
  1229. rwork[i__ - ll] = cosr;
  1230. rwork[i__ - ll + nm1] = -sinr;
  1231. rwork[i__ - ll + nm12] = cosl;
  1232. rwork[i__ - ll + nm13] = -sinl;
  1233. /* L150: */
  1234. }
  1235. e[ll] = f;
  1236. /* Test convergence */
  1237. if ((d__1 = e[ll], abs(d__1)) <= thresh) {
  1238. e[ll] = 0.;
  1239. }
  1240. /* Update singular vectors if desired */
  1241. if (*ncvt > 0) {
  1242. i__1 = m - ll + 1;
  1243. zlasr_("L", "V", "B", &i__1, ncvt, &rwork[nm12 + 1], &rwork[
  1244. nm13 + 1], &vt[ll + vt_dim1], ldvt);
  1245. }
  1246. if (*nru > 0) {
  1247. i__1 = m - ll + 1;
  1248. zlasr_("R", "V", "B", nru, &i__1, &rwork[1], &rwork[*n], &u[
  1249. ll * u_dim1 + 1], ldu);
  1250. }
  1251. if (*ncc > 0) {
  1252. i__1 = m - ll + 1;
  1253. zlasr_("L", "V", "B", &i__1, ncc, &rwork[1], &rwork[*n], &c__[
  1254. ll + c_dim1], ldc);
  1255. }
  1256. }
  1257. }
  1258. /* QR iteration finished, go back and check convergence */
  1259. goto L60;
  1260. /* All singular values converged, so make them positive */
  1261. L160:
  1262. i__1 = *n;
  1263. for (i__ = 1; i__ <= i__1; ++i__) {
  1264. if (d__[i__] < 0.) {
  1265. d__[i__] = -d__[i__];
  1266. /* Change sign of singular vectors, if desired */
  1267. if (*ncvt > 0) {
  1268. zdscal_(ncvt, &c_b72, &vt[i__ + vt_dim1], ldvt);
  1269. }
  1270. }
  1271. /* L170: */
  1272. }
  1273. /* Sort the singular values into decreasing order (insertion sort on */
  1274. /* singular values, but only one transposition per singular vector) */
  1275. i__1 = *n - 1;
  1276. for (i__ = 1; i__ <= i__1; ++i__) {
  1277. /* Scan for smallest D(I) */
  1278. isub = 1;
  1279. smin = d__[1];
  1280. i__2 = *n + 1 - i__;
  1281. for (j = 2; j <= i__2; ++j) {
  1282. if (d__[j] <= smin) {
  1283. isub = j;
  1284. smin = d__[j];
  1285. }
  1286. /* L180: */
  1287. }
  1288. if (isub != *n + 1 - i__) {
  1289. /* Swap singular values and vectors */
  1290. d__[isub] = d__[*n + 1 - i__];
  1291. d__[*n + 1 - i__] = smin;
  1292. if (*ncvt > 0) {
  1293. zswap_(ncvt, &vt[isub + vt_dim1], ldvt, &vt[*n + 1 - i__ +
  1294. vt_dim1], ldvt);
  1295. }
  1296. if (*nru > 0) {
  1297. zswap_(nru, &u[isub * u_dim1 + 1], &c__1, &u[(*n + 1 - i__) *
  1298. u_dim1 + 1], &c__1);
  1299. }
  1300. if (*ncc > 0) {
  1301. zswap_(ncc, &c__[isub + c_dim1], ldc, &c__[*n + 1 - i__ +
  1302. c_dim1], ldc);
  1303. }
  1304. }
  1305. /* L190: */
  1306. }
  1307. goto L220;
  1308. /* Maximum number of iterations exceeded, failure to converge */
  1309. L200:
  1310. *info = 0;
  1311. i__1 = *n - 1;
  1312. for (i__ = 1; i__ <= i__1; ++i__) {
  1313. if (e[i__] != 0.) {
  1314. ++(*info);
  1315. }
  1316. /* L210: */
  1317. }
  1318. L220:
  1319. return;
  1320. /* End of ZBDSQR */
  1321. } /* zbdsqr_ */