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dsytrd_sy2sb.c 34 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__4 = 4;
  485. static integer c_n1 = -1;
  486. static integer c__1 = 1;
  487. static doublereal c_b17 = 0.;
  488. static doublereal c_b23 = 1.;
  489. static doublereal c_b39 = -.5;
  490. static doublereal c_b42 = -1.;
  491. /* > \brief \b DSYTRD_SY2SB */
  492. /* @generated from zhetrd_he2hb.f, fortran z -> d, Wed Dec 7 08:22:39 2016 */
  493. /* =========== DOCUMENTATION =========== */
  494. /* Online html documentation available at */
  495. /* http://www.netlib.org/lapack/explore-html/ */
  496. /* > \htmlonly */
  497. /* > Download DSYTRD_SY2SB + dependencies */
  498. /* > <a href="http://www.netlib.org/cgi-bin/netlibfiles.tgz?format=tgz&filename=/lapack/lapack_routine/dsytrd.
  499. f"> */
  500. /* > [TGZ]</a> */
  501. /* > <a href="http://www.netlib.org/cgi-bin/netlibfiles.zip?format=zip&filename=/lapack/lapack_routine/dsytrd.
  502. f"> */
  503. /* > [ZIP]</a> */
  504. /* > <a href="http://www.netlib.org/cgi-bin/netlibfiles.txt?format=txt&filename=/lapack/lapack_routine/dsytrd.
  505. f"> */
  506. /* > [TXT]</a> */
  507. /* > \endhtmlonly */
  508. /* Definition: */
  509. /* =========== */
  510. /* SUBROUTINE DSYTRD_SY2SB( UPLO, N, KD, A, LDA, AB, LDAB, TAU, */
  511. /* WORK, LWORK, INFO ) */
  512. /* IMPLICIT NONE */
  513. /* CHARACTER UPLO */
  514. /* INTEGER INFO, LDA, LDAB, LWORK, N, KD */
  515. /* DOUBLE PRECISION A( LDA, * ), AB( LDAB, * ), */
  516. /* TAU( * ), WORK( * ) */
  517. /* > \par Purpose: */
  518. /* ============= */
  519. /* > */
  520. /* > \verbatim */
  521. /* > */
  522. /* > DSYTRD_SY2SB reduces a real symmetric matrix A to real symmetric */
  523. /* > band-diagonal form AB by a orthogonal similarity transformation: */
  524. /* > Q**T * A * Q = AB. */
  525. /* > \endverbatim */
  526. /* Arguments: */
  527. /* ========== */
  528. /* > \param[in] UPLO */
  529. /* > \verbatim */
  530. /* > UPLO is CHARACTER*1 */
  531. /* > = 'U': Upper triangle of A is stored; */
  532. /* > = 'L': Lower triangle of A is stored. */
  533. /* > \endverbatim */
  534. /* > */
  535. /* > \param[in] N */
  536. /* > \verbatim */
  537. /* > N is INTEGER */
  538. /* > The order of the matrix A. N >= 0. */
  539. /* > \endverbatim */
  540. /* > */
  541. /* > \param[in] KD */
  542. /* > \verbatim */
  543. /* > KD is INTEGER */
  544. /* > The number of superdiagonals of the reduced matrix if UPLO = 'U', */
  545. /* > or the number of subdiagonals if UPLO = 'L'. KD >= 0. */
  546. /* > The reduced matrix is stored in the array AB. */
  547. /* > \endverbatim */
  548. /* > */
  549. /* > \param[in,out] A */
  550. /* > \verbatim */
  551. /* > A is DOUBLE PRECISION array, dimension (LDA,N) */
  552. /* > On entry, the symmetric matrix A. If UPLO = 'U', the leading */
  553. /* > N-by-N upper triangular part of A contains the upper */
  554. /* > triangular part of the matrix A, and the strictly lower */
  555. /* > triangular part of A is not referenced. If UPLO = 'L', the */
  556. /* > leading N-by-N lower triangular part of A contains the lower */
  557. /* > triangular part of the matrix A, and the strictly upper */
  558. /* > triangular part of A is not referenced. */
  559. /* > On exit, if UPLO = 'U', the diagonal and first superdiagonal */
  560. /* > of A are overwritten by the corresponding elements of the */
  561. /* > tridiagonal matrix T, and the elements above the first */
  562. /* > superdiagonal, with the array TAU, represent the orthogonal */
  563. /* > matrix Q as a product of elementary reflectors; if UPLO */
  564. /* > = 'L', the diagonal and first subdiagonal of A are over- */
  565. /* > written by the corresponding elements of the tridiagonal */
  566. /* > matrix T, and the elements below the first subdiagonal, with */
  567. /* > the array TAU, represent the orthogonal matrix Q as a product */
  568. /* > of elementary reflectors. See Further Details. */
  569. /* > \endverbatim */
  570. /* > */
  571. /* > \param[in] LDA */
  572. /* > \verbatim */
  573. /* > LDA is INTEGER */
  574. /* > The leading dimension of the array A. LDA >= f2cmax(1,N). */
  575. /* > \endverbatim */
  576. /* > */
  577. /* > \param[out] AB */
  578. /* > \verbatim */
  579. /* > AB is DOUBLE PRECISION array, dimension (LDAB,N) */
  580. /* > On exit, the upper or lower triangle of the symmetric band */
  581. /* > matrix A, stored in the first KD+1 rows of the array. The */
  582. /* > j-th column of A is stored in the j-th column of the array AB */
  583. /* > as follows: */
  584. /* > if UPLO = 'U', AB(kd+1+i-j,j) = A(i,j) for f2cmax(1,j-kd)<=i<=j; */
  585. /* > if UPLO = 'L', AB(1+i-j,j) = A(i,j) for j<=i<=f2cmin(n,j+kd). */
  586. /* > \endverbatim */
  587. /* > */
  588. /* > \param[in] LDAB */
  589. /* > \verbatim */
  590. /* > LDAB is INTEGER */
  591. /* > The leading dimension of the array AB. LDAB >= KD+1. */
  592. /* > \endverbatim */
  593. /* > */
  594. /* > \param[out] TAU */
  595. /* > \verbatim */
  596. /* > TAU is DOUBLE PRECISION array, dimension (N-KD) */
  597. /* > The scalar factors of the elementary reflectors (see Further */
  598. /* > Details). */
  599. /* > \endverbatim */
  600. /* > */
  601. /* > \param[out] WORK */
  602. /* > \verbatim */
  603. /* > WORK is DOUBLE PRECISION array, dimension (LWORK) */
  604. /* > On exit, if INFO = 0, or if LWORK=-1, */
  605. /* > WORK(1) returns the size of LWORK. */
  606. /* > \endverbatim */
  607. /* > */
  608. /* > \param[in] LWORK */
  609. /* > \verbatim */
  610. /* > LWORK is INTEGER */
  611. /* > The dimension of the array WORK which should be calculated */
  612. /* > by a workspace query. LWORK = MAX(1, LWORK_QUERY) */
  613. /* > If LWORK = -1, then a workspace query is assumed; the routine */
  614. /* > only calculates the optimal size of the WORK array, returns */
  615. /* > this value as the first entry of the WORK array, and no error */
  616. /* > message related to LWORK is issued by XERBLA. */
  617. /* > LWORK_QUERY = N*KD + N*f2cmax(KD,FACTOPTNB) + 2*KD*KD */
  618. /* > where FACTOPTNB is the blocking used by the QR or LQ */
  619. /* > algorithm, usually FACTOPTNB=128 is a good choice otherwise */
  620. /* > putting LWORK=-1 will provide the size of WORK. */
  621. /* > \endverbatim */
  622. /* > */
  623. /* > \param[out] INFO */
  624. /* > \verbatim */
  625. /* > INFO is INTEGER */
  626. /* > = 0: successful exit */
  627. /* > < 0: if INFO = -i, the i-th argument had an illegal value */
  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 2017 */
  636. /* > \ingroup doubleSYcomputational */
  637. /* > \par Further Details: */
  638. /* ===================== */
  639. /* > */
  640. /* > \verbatim */
  641. /* > */
  642. /* > Implemented by Azzam Haidar. */
  643. /* > */
  644. /* > All details are available on technical report, SC11, SC13 papers. */
  645. /* > */
  646. /* > Azzam Haidar, Hatem Ltaief, and Jack Dongarra. */
  647. /* > Parallel reduction to condensed forms for symmetric eigenvalue problems */
  648. /* > using aggregated fine-grained and memory-aware kernels. In Proceedings */
  649. /* > of 2011 International Conference for High Performance Computing, */
  650. /* > Networking, Storage and Analysis (SC '11), New York, NY, USA, */
  651. /* > Article 8 , 11 pages. */
  652. /* > http://doi.acm.org/10.1145/2063384.2063394 */
  653. /* > */
  654. /* > A. Haidar, J. Kurzak, P. Luszczek, 2013. */
  655. /* > An improved parallel singular value algorithm and its implementation */
  656. /* > for multicore hardware, In Proceedings of 2013 International Conference */
  657. /* > for High Performance Computing, Networking, Storage and Analysis (SC '13). */
  658. /* > Denver, Colorado, USA, 2013. */
  659. /* > Article 90, 12 pages. */
  660. /* > http://doi.acm.org/10.1145/2503210.2503292 */
  661. /* > */
  662. /* > A. Haidar, R. Solca, S. Tomov, T. Schulthess and J. Dongarra. */
  663. /* > A novel hybrid CPU-GPU generalized eigensolver for electronic structure */
  664. /* > calculations based on fine-grained memory aware tasks. */
  665. /* > International Journal of High Performance Computing Applications. */
  666. /* > Volume 28 Issue 2, Pages 196-209, May 2014. */
  667. /* > http://hpc.sagepub.com/content/28/2/196 */
  668. /* > */
  669. /* > \endverbatim */
  670. /* > */
  671. /* > \verbatim */
  672. /* > */
  673. /* > If UPLO = 'U', the matrix Q is represented as a product of elementary */
  674. /* > reflectors */
  675. /* > */
  676. /* > Q = H(k)**T . . . H(2)**T H(1)**T, where k = n-kd. */
  677. /* > */
  678. /* > Each H(i) has the form */
  679. /* > */
  680. /* > H(i) = I - tau * v * v**T */
  681. /* > */
  682. /* > where tau is a real scalar, and v is a real vector with */
  683. /* > v(1:i+kd-1) = 0 and v(i+kd) = 1; conjg(v(i+kd+1:n)) is stored on exit in */
  684. /* > A(i,i+kd+1:n), and tau in TAU(i). */
  685. /* > */
  686. /* > If UPLO = 'L', the matrix Q is represented as a product of elementary */
  687. /* > reflectors */
  688. /* > */
  689. /* > Q = H(1) H(2) . . . H(k), where k = n-kd. */
  690. /* > */
  691. /* > Each H(i) has the form */
  692. /* > */
  693. /* > H(i) = I - tau * v * v**T */
  694. /* > */
  695. /* > where tau is a real scalar, and v is a real vector with */
  696. /* > v(kd+1:i) = 0 and v(i+kd+1) = 1; v(i+kd+2:n) is stored on exit in */
  697. /* > A(i+kd+2:n,i), and tau in TAU(i). */
  698. /* > */
  699. /* > The contents of A on exit are illustrated by the following examples */
  700. /* > with n = 5: */
  701. /* > */
  702. /* > if UPLO = 'U': if UPLO = 'L': */
  703. /* > */
  704. /* > ( ab ab/v1 v1 v1 v1 ) ( ab ) */
  705. /* > ( ab ab/v2 v2 v2 ) ( ab/v1 ab ) */
  706. /* > ( ab ab/v3 v3 ) ( v1 ab/v2 ab ) */
  707. /* > ( ab ab/v4 ) ( v1 v2 ab/v3 ab ) */
  708. /* > ( ab ) ( v1 v2 v3 ab/v4 ab ) */
  709. /* > */
  710. /* > where d and e denote diagonal and off-diagonal elements of T, and vi */
  711. /* > denotes an element of the vector defining H(i). */
  712. /* > \endverbatim */
  713. /* > */
  714. /* ===================================================================== */
  715. /* Subroutine */ void dsytrd_sy2sb_(char *uplo, integer *n, integer *kd,
  716. doublereal *a, integer *lda, doublereal *ab, integer *ldab,
  717. doublereal *tau, doublereal *work, integer *lwork, integer *info)
  718. {
  719. /* System generated locals */
  720. integer a_dim1, a_offset, ab_dim1, ab_offset, i__1, i__2, i__3, i__4,
  721. i__5;
  722. /* Local variables */
  723. extern integer ilaenv2stage_(integer *, char *, char *, integer *,
  724. integer *, integer *, integer *);
  725. integer tpos, wpos, s1pos, s2pos, i__, j;
  726. extern /* Subroutine */ void dgemm_(char *, char *, integer *, integer *,
  727. integer *, doublereal *, doublereal *, integer *, doublereal *,
  728. integer *, doublereal *, doublereal *, integer *);
  729. extern logical lsame_(char *, char *);
  730. integer iinfo;
  731. extern /* Subroutine */ void dcopy_(integer *, doublereal *, integer *,
  732. doublereal *, integer *);
  733. integer lwmin;
  734. extern /* Subroutine */ void dsymm_(char *, char *, integer *, integer *,
  735. doublereal *, doublereal *, integer *, doublereal *, integer *,
  736. doublereal *, doublereal *, integer *);
  737. logical upper;
  738. extern /* Subroutine */ void dsyr2k_(char *, char *, integer *, integer *,
  739. doublereal *, doublereal *, integer *, doublereal *, integer *,
  740. doublereal *, doublereal *, integer *);
  741. integer lk, pk, pn, lt;
  742. extern /* Subroutine */ void dgelqf_(integer *, integer *, doublereal *,
  743. integer *, doublereal *, doublereal *, integer *, integer *);
  744. integer lw;
  745. extern /* Subroutine */ void dgeqrf_(integer *, integer *, doublereal *,
  746. integer *, doublereal *, doublereal *, integer *, integer *),
  747. dlarft_(char *, char *, integer *, integer *, doublereal *,
  748. integer *, doublereal *, doublereal *, integer *);
  749. extern int xerbla_(char *, integer *, ftnlen);
  750. extern void dlaset_(char *, integer *,
  751. integer *, doublereal *, doublereal *, doublereal *, integer *);
  752. integer ls1;
  753. logical lquery;
  754. integer ls2, ldt, ldw, lds1, lds2;
  755. /* -- LAPACK computational routine (version 3.8.0) -- */
  756. /* -- LAPACK is a software package provided by Univ. of Tennessee, -- */
  757. /* -- Univ. of California Berkeley, Univ. of Colorado Denver and NAG Ltd..-- */
  758. /* November 2017 */
  759. /* ===================================================================== */
  760. /* Determine the minimal workspace size required */
  761. /* and test the input parameters */
  762. /* Parameter adjustments */
  763. a_dim1 = *lda;
  764. a_offset = 1 + a_dim1 * 1;
  765. a -= a_offset;
  766. ab_dim1 = *ldab;
  767. ab_offset = 1 + ab_dim1 * 1;
  768. ab -= ab_offset;
  769. --tau;
  770. --work;
  771. /* Function Body */
  772. *info = 0;
  773. upper = lsame_(uplo, "U");
  774. lquery = *lwork == -1;
  775. lwmin = ilaenv2stage_(&c__4, "DSYTRD_SY2SB", "", n, kd, &c_n1, &c_n1);
  776. if (! upper && ! lsame_(uplo, "L")) {
  777. *info = -1;
  778. } else if (*n < 0) {
  779. *info = -2;
  780. } else if (*kd < 0) {
  781. *info = -3;
  782. } else if (*lda < f2cmax(1,*n)) {
  783. *info = -5;
  784. } else /* if(complicated condition) */ {
  785. /* Computing MAX */
  786. i__1 = 1, i__2 = *kd + 1;
  787. if (*ldab < f2cmax(i__1,i__2)) {
  788. *info = -7;
  789. } else if (*lwork < lwmin && ! lquery) {
  790. *info = -10;
  791. }
  792. }
  793. if (*info != 0) {
  794. i__1 = -(*info);
  795. xerbla_("DSYTRD_SY2SB", &i__1, (ftnlen)12);
  796. return;
  797. } else if (lquery) {
  798. work[1] = (doublereal) lwmin;
  799. return;
  800. }
  801. /* Quick return if possible */
  802. /* Copy the upper/lower portion of A into AB */
  803. if (*n <= *kd + 1) {
  804. if (upper) {
  805. i__1 = *n;
  806. for (i__ = 1; i__ <= i__1; ++i__) {
  807. /* Computing MIN */
  808. i__2 = *kd + 1;
  809. lk = f2cmin(i__2,i__);
  810. dcopy_(&lk, &a[i__ - lk + 1 + i__ * a_dim1], &c__1, &ab[*kd +
  811. 1 - lk + 1 + i__ * ab_dim1], &c__1);
  812. /* L100: */
  813. }
  814. } else {
  815. i__1 = *n;
  816. for (i__ = 1; i__ <= i__1; ++i__) {
  817. /* Computing MIN */
  818. i__2 = *kd + 1, i__3 = *n - i__ + 1;
  819. lk = f2cmin(i__2,i__3);
  820. dcopy_(&lk, &a[i__ + i__ * a_dim1], &c__1, &ab[i__ * ab_dim1
  821. + 1], &c__1);
  822. /* L110: */
  823. }
  824. }
  825. work[1] = 1.;
  826. return;
  827. }
  828. /* Determine the pointer position for the workspace */
  829. ldt = *kd;
  830. lds1 = *kd;
  831. lt = ldt * *kd;
  832. lw = *n * *kd;
  833. ls1 = lds1 * *kd;
  834. ls2 = lwmin - lt - lw - ls1;
  835. /* LS2 = N*MAX(KD,FACTOPTNB) */
  836. tpos = 1;
  837. wpos = tpos + lt;
  838. s1pos = wpos + lw;
  839. s2pos = s1pos + ls1;
  840. if (upper) {
  841. ldw = *kd;
  842. lds2 = *kd;
  843. } else {
  844. ldw = *n;
  845. lds2 = *n;
  846. }
  847. /* Set the workspace of the triangular matrix T to zero once such a */
  848. /* way every time T is generated the upper/lower portion will be always zero */
  849. dlaset_("A", &ldt, kd, &c_b17, &c_b17, &work[tpos], &ldt);
  850. if (upper) {
  851. i__1 = *n - *kd;
  852. i__2 = *kd;
  853. for (i__ = 1; i__2 < 0 ? i__ >= i__1 : i__ <= i__1; i__ += i__2) {
  854. pn = *n - i__ - *kd + 1;
  855. /* Computing MIN */
  856. i__3 = *n - i__ - *kd + 1;
  857. pk = f2cmin(i__3,*kd);
  858. /* Compute the LQ factorization of the current block */
  859. dgelqf_(kd, &pn, &a[i__ + (i__ + *kd) * a_dim1], lda, &tau[i__], &
  860. work[s2pos], &ls2, &iinfo);
  861. /* Copy the upper portion of A into AB */
  862. i__3 = i__ + pk - 1;
  863. for (j = i__; j <= i__3; ++j) {
  864. /* Computing MIN */
  865. i__4 = *kd, i__5 = *n - j;
  866. lk = f2cmin(i__4,i__5) + 1;
  867. i__4 = *ldab - 1;
  868. dcopy_(&lk, &a[j + j * a_dim1], lda, &ab[*kd + 1 + j *
  869. ab_dim1], &i__4);
  870. /* L20: */
  871. }
  872. dlaset_("Lower", &pk, &pk, &c_b17, &c_b23, &a[i__ + (i__ + *kd) *
  873. a_dim1], lda);
  874. /* Form the matrix T */
  875. dlarft_("Forward", "Rowwise", &pn, &pk, &a[i__ + (i__ + *kd) *
  876. a_dim1], lda, &tau[i__], &work[tpos], &ldt);
  877. /* Compute W: */
  878. dgemm_("Conjugate", "No transpose", &pk, &pn, &pk, &c_b23, &work[
  879. tpos], &ldt, &a[i__ + (i__ + *kd) * a_dim1], lda, &c_b17,
  880. &work[s2pos], &lds2);
  881. dsymm_("Right", uplo, &pk, &pn, &c_b23, &a[i__ + *kd + (i__ + *kd)
  882. * a_dim1], lda, &work[s2pos], &lds2, &c_b17, &work[wpos],
  883. &ldw);
  884. dgemm_("No transpose", "Conjugate", &pk, &pk, &pn, &c_b23, &work[
  885. wpos], &ldw, &work[s2pos], &lds2, &c_b17, &work[s1pos], &
  886. lds1);
  887. dgemm_("No transpose", "No transpose", &pk, &pn, &pk, &c_b39, &
  888. work[s1pos], &lds1, &a[i__ + (i__ + *kd) * a_dim1], lda, &
  889. c_b23, &work[wpos], &ldw);
  890. /* Update the unreduced submatrix A(i+kd:n,i+kd:n), using */
  891. /* an update of the form: A := A - V'*W - W'*V */
  892. dsyr2k_(uplo, "Conjugate", &pn, &pk, &c_b42, &a[i__ + (i__ + *kd)
  893. * a_dim1], lda, &work[wpos], &ldw, &c_b23, &a[i__ + *kd +
  894. (i__ + *kd) * a_dim1], lda);
  895. /* L10: */
  896. }
  897. /* Copy the upper band to AB which is the band storage matrix */
  898. i__2 = *n;
  899. for (j = *n - *kd + 1; j <= i__2; ++j) {
  900. /* Computing MIN */
  901. i__1 = *kd, i__3 = *n - j;
  902. lk = f2cmin(i__1,i__3) + 1;
  903. i__1 = *ldab - 1;
  904. dcopy_(&lk, &a[j + j * a_dim1], lda, &ab[*kd + 1 + j * ab_dim1], &
  905. i__1);
  906. /* L30: */
  907. }
  908. } else {
  909. /* Reduce the lower triangle of A to lower band matrix */
  910. i__2 = *n - *kd;
  911. i__1 = *kd;
  912. for (i__ = 1; i__1 < 0 ? i__ >= i__2 : i__ <= i__2; i__ += i__1) {
  913. pn = *n - i__ - *kd + 1;
  914. /* Computing MIN */
  915. i__3 = *n - i__ - *kd + 1;
  916. pk = f2cmin(i__3,*kd);
  917. /* Compute the QR factorization of the current block */
  918. dgeqrf_(&pn, kd, &a[i__ + *kd + i__ * a_dim1], lda, &tau[i__], &
  919. work[s2pos], &ls2, &iinfo);
  920. /* Copy the upper portion of A into AB */
  921. i__3 = i__ + pk - 1;
  922. for (j = i__; j <= i__3; ++j) {
  923. /* Computing MIN */
  924. i__4 = *kd, i__5 = *n - j;
  925. lk = f2cmin(i__4,i__5) + 1;
  926. dcopy_(&lk, &a[j + j * a_dim1], &c__1, &ab[j * ab_dim1 + 1], &
  927. c__1);
  928. /* L50: */
  929. }
  930. dlaset_("Upper", &pk, &pk, &c_b17, &c_b23, &a[i__ + *kd + i__ *
  931. a_dim1], lda);
  932. /* Form the matrix T */
  933. dlarft_("Forward", "Columnwise", &pn, &pk, &a[i__ + *kd + i__ *
  934. a_dim1], lda, &tau[i__], &work[tpos], &ldt);
  935. /* Compute W: */
  936. dgemm_("No transpose", "No transpose", &pn, &pk, &pk, &c_b23, &a[
  937. i__ + *kd + i__ * a_dim1], lda, &work[tpos], &ldt, &c_b17,
  938. &work[s2pos], &lds2);
  939. dsymm_("Left", uplo, &pn, &pk, &c_b23, &a[i__ + *kd + (i__ + *kd)
  940. * a_dim1], lda, &work[s2pos], &lds2, &c_b17, &work[wpos],
  941. &ldw);
  942. dgemm_("Conjugate", "No transpose", &pk, &pk, &pn, &c_b23, &work[
  943. s2pos], &lds2, &work[wpos], &ldw, &c_b17, &work[s1pos], &
  944. lds1);
  945. dgemm_("No transpose", "No transpose", &pn, &pk, &pk, &c_b39, &a[
  946. i__ + *kd + i__ * a_dim1], lda, &work[s1pos], &lds1, &
  947. c_b23, &work[wpos], &ldw);
  948. /* Update the unreduced submatrix A(i+kd:n,i+kd:n), using */
  949. /* an update of the form: A := A - V*W' - W*V' */
  950. dsyr2k_(uplo, "No transpose", &pn, &pk, &c_b42, &a[i__ + *kd +
  951. i__ * a_dim1], lda, &work[wpos], &ldw, &c_b23, &a[i__ + *
  952. kd + (i__ + *kd) * a_dim1], lda);
  953. /* ================================================================== */
  954. /* RESTORE A FOR COMPARISON AND CHECKING TO BE REMOVED */
  955. /* DO 45 J = I, I+PK-1 */
  956. /* LK = MIN( KD, N-J ) + 1 */
  957. /* CALL DCOPY( LK, AB( 1, J ), 1, A( J, J ), 1 ) */
  958. /* 45 CONTINUE */
  959. /* ================================================================== */
  960. /* L40: */
  961. }
  962. /* Copy the lower band to AB which is the band storage matrix */
  963. i__1 = *n;
  964. for (j = *n - *kd + 1; j <= i__1; ++j) {
  965. /* Computing MIN */
  966. i__2 = *kd, i__3 = *n - j;
  967. lk = f2cmin(i__2,i__3) + 1;
  968. dcopy_(&lk, &a[j + j * a_dim1], &c__1, &ab[j * ab_dim1 + 1], &
  969. c__1);
  970. /* L60: */
  971. }
  972. }
  973. work[1] = (doublereal) lwmin;
  974. return;
  975. /* End of DSYTRD_SY2SB */
  976. } /* dsytrd_sy2sb__ */