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OpenBLAS/lapack-netlib/SRC/clahqr.c

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#include <math.h>
#include <stdlib.h>
#include <string.h>
#include <stdio.h>
#include <complex.h>
#ifdef complex
#undef complex
#endif
#ifdef I
#undef I
#endif
#if defined(_WIN64)
typedef long long BLASLONG;
typedef unsigned long long BLASULONG;
#else
typedef long BLASLONG;
typedef unsigned long BLASULONG;
#endif
#ifdef LAPACK_ILP64
typedef BLASLONG blasint;
#if defined(_WIN64)
#define blasabs(x) llabs(x)
#else
#define blasabs(x) labs(x)
#endif
#else
typedef int blasint;
#define blasabs(x) abs(x)
#endif
typedef blasint integer;
typedef unsigned int uinteger;
typedef char *address;
typedef short int shortint;
typedef float real;
typedef double doublereal;
typedef struct { real r, i; } complex;
typedef struct { doublereal r, i; } doublecomplex;
#ifdef _MSC_VER
static inline _Fcomplex Cf(complex *z) {_Fcomplex zz={z->r , z->i}; return zz;}
static inline _Dcomplex Cd(doublecomplex *z) {_Dcomplex zz={z->r , z->i};return zz;}
static inline _Fcomplex * _pCf(complex *z) {return (_Fcomplex*)z;}
static inline _Dcomplex * _pCd(doublecomplex *z) {return (_Dcomplex*)z;}
#else
static inline _Complex float Cf(complex *z) {return z->r + z->i*_Complex_I;}
static inline _Complex double Cd(doublecomplex *z) {return z->r + z->i*_Complex_I;}
static inline _Complex float * _pCf(complex *z) {return (_Complex float*)z;}
static inline _Complex double * _pCd(doublecomplex *z) {return (_Complex double*)z;}
#endif
#define pCf(z) (*_pCf(z))
#define pCd(z) (*_pCd(z))
typedef int logical;
typedef short int shortlogical;
typedef char logical1;
typedef char integer1;
#define TRUE_ (1)
#define FALSE_ (0)
/* Extern is for use with -E */
#ifndef Extern
#define Extern extern
#endif
/* I/O stuff */
typedef int flag;
typedef int ftnlen;
typedef int ftnint;
/*external read, write*/
typedef struct
{ flag cierr;
ftnint ciunit;
flag ciend;
char *cifmt;
ftnint cirec;
} cilist;
/*internal read, write*/
typedef struct
{ flag icierr;
char *iciunit;
flag iciend;
char *icifmt;
ftnint icirlen;
ftnint icirnum;
} icilist;
/*open*/
typedef struct
{ flag oerr;
ftnint ounit;
char *ofnm;
ftnlen ofnmlen;
char *osta;
char *oacc;
char *ofm;
ftnint orl;
char *oblnk;
} olist;
/*close*/
typedef struct
{ flag cerr;
ftnint cunit;
char *csta;
} cllist;
/*rewind, backspace, endfile*/
typedef struct
{ flag aerr;
ftnint aunit;
} alist;
/* inquire */
typedef struct
{ flag inerr;
ftnint inunit;
char *infile;
ftnlen infilen;
ftnint *inex; /*parameters in standard's order*/
ftnint *inopen;
ftnint *innum;
ftnint *innamed;
char *inname;
ftnlen innamlen;
char *inacc;
ftnlen inacclen;
char *inseq;
ftnlen inseqlen;
char *indir;
ftnlen indirlen;
char *infmt;
ftnlen infmtlen;
char *inform;
ftnint informlen;
char *inunf;
ftnlen inunflen;
ftnint *inrecl;
ftnint *innrec;
char *inblank;
ftnlen inblanklen;
} inlist;
#define VOID void
union Multitype { /* for multiple entry points */
integer1 g;
shortint h;
integer i;
/* longint j; */
real r;
doublereal d;
complex c;
doublecomplex z;
};
typedef union Multitype Multitype;
struct Vardesc { /* for Namelist */
char *name;
char *addr;
ftnlen *dims;
int type;
};
typedef struct Vardesc Vardesc;
struct Namelist {
char *name;
Vardesc **vars;
int nvars;
};
typedef struct Namelist Namelist;
#define abs(x) ((x) >= 0 ? (x) : -(x))
#define dabs(x) (fabs(x))
#define f2cmin(a,b) ((a) <= (b) ? (a) : (b))
#define f2cmax(a,b) ((a) >= (b) ? (a) : (b))
#define dmin(a,b) (f2cmin(a,b))
#define dmax(a,b) (f2cmax(a,b))
#define bit_test(a,b) ((a) >> (b) & 1)
#define bit_clear(a,b) ((a) & ~((uinteger)1 << (b)))
#define bit_set(a,b) ((a) | ((uinteger)1 << (b)))
#define abort_() { sig_die("Fortran abort routine called", 1); }
#define c_abs(z) (cabsf(Cf(z)))
#define c_cos(R,Z) { pCf(R)=ccos(Cf(Z)); }
#ifdef _MSC_VER
#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]);}
#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]);}
#else
#define c_div(c, a, b) {pCf(c) = Cf(a)/Cf(b);}
#define z_div(c, a, b) {pCd(c) = Cd(a)/Cd(b);}
#endif
#define c_exp(R, Z) {pCf(R) = cexpf(Cf(Z));}
#define c_log(R, Z) {pCf(R) = clogf(Cf(Z));}
#define c_sin(R, Z) {pCf(R) = csinf(Cf(Z));}
//#define c_sqrt(R, Z) {*(R) = csqrtf(Cf(Z));}
#define c_sqrt(R, Z) {pCf(R) = csqrtf(Cf(Z));}
#define d_abs(x) (fabs(*(x)))
#define d_acos(x) (acos(*(x)))
#define d_asin(x) (asin(*(x)))
#define d_atan(x) (atan(*(x)))
#define d_atn2(x, y) (atan2(*(x),*(y)))
#define d_cnjg(R, Z) { pCd(R) = conj(Cd(Z)); }
#define r_cnjg(R, Z) { pCf(R) = conjf(Cf(Z)); }
#define d_cos(x) (cos(*(x)))
#define d_cosh(x) (cosh(*(x)))
#define d_dim(__a, __b) ( *(__a) > *(__b) ? *(__a) - *(__b) : 0.0 )
#define d_exp(x) (exp(*(x)))
#define d_imag(z) (cimag(Cd(z)))
#define r_imag(z) (cimagf(Cf(z)))
#define d_int(__x) (*(__x)>0 ? floor(*(__x)) : -floor(- *(__x)))
#define r_int(__x) (*(__x)>0 ? floor(*(__x)) : -floor(- *(__x)))
#define d_lg10(x) ( 0.43429448190325182765 * log(*(x)) )
#define r_lg10(x) ( 0.43429448190325182765 * log(*(x)) )
#define d_log(x) (log(*(x)))
#define d_mod(x, y) (fmod(*(x), *(y)))
#define u_nint(__x) ((__x)>=0 ? floor((__x) + .5) : -floor(.5 - (__x)))
#define d_nint(x) u_nint(*(x))
#define u_sign(__a,__b) ((__b) >= 0 ? ((__a) >= 0 ? (__a) : -(__a)) : -((__a) >= 0 ? (__a) : -(__a)))
#define d_sign(a,b) u_sign(*(a),*(b))
#define r_sign(a,b) u_sign(*(a),*(b))
#define d_sin(x) (sin(*(x)))
#define d_sinh(x) (sinh(*(x)))
#define d_sqrt(x) (sqrt(*(x)))
#define d_tan(x) (tan(*(x)))
#define d_tanh(x) (tanh(*(x)))
#define i_abs(x) abs(*(x))
#define i_dnnt(x) ((integer)u_nint(*(x)))
#define i_len(s, n) (n)
#define i_nint(x) ((integer)u_nint(*(x)))
#define i_sign(a,b) ((integer)u_sign((integer)*(a),(integer)*(b)))
#define pow_dd(ap, bp) ( pow(*(ap), *(bp)))
#define pow_si(B,E) spow_ui(*(B),*(E))
#define pow_ri(B,E) spow_ui(*(B),*(E))
#define pow_di(B,E) dpow_ui(*(B),*(E))
#define pow_zi(p, a, b) {pCd(p) = zpow_ui(Cd(a), *(b));}
#define pow_ci(p, a, b) {pCf(p) = cpow_ui(Cf(a), *(b));}
#define pow_zz(R,A,B) {pCd(R) = cpow(Cd(A),*(B));}
#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++ = ' '; }
#define s_cmp(a,b,c,d) ((integer)strncmp((a),(b),f2cmin((c),(d))))
#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]; }
#define sig_die(s, kill) { exit(1); }
#define s_stop(s, n) {exit(0);}
static char junk[] = "\n@(#)LIBF77 VERSION 19990503\n";
#define z_abs(z) (cabs(Cd(z)))
#define z_exp(R, Z) {pCd(R) = cexp(Cd(Z));}
#define z_sqrt(R, Z) {pCd(R) = csqrt(Cd(Z));}
#define myexit_() break;
#define mycycle() continue;
#define myceiling(w) {ceil(w)}
#define myhuge(w) {HUGE_VAL}
//#define mymaxloc_(w,s,e,n) {if (sizeof(*(w)) == sizeof(double)) dmaxloc_((w),*(s),*(e),n); else dmaxloc_((w),*(s),*(e),n);}
#define mymaxloc(w,s,e,n) {dmaxloc_(w,*(s),*(e),n)}
/* procedure parameter types for -A and -C++ */
#define F2C_proc_par_types 1
#ifdef __cplusplus
typedef logical (*L_fp)(...);
#else
typedef logical (*L_fp)();
#endif
static float spow_ui(float x, integer n) {
float pow=1.0; unsigned long int u;
if(n != 0) {
if(n < 0) n = -n, x = 1/x;
for(u = n; ; ) {
if(u & 01) pow *= x;
if(u >>= 1) x *= x;
else break;
}
}
return pow;
}
static double dpow_ui(double x, integer n) {
double pow=1.0; unsigned long int u;
if(n != 0) {
if(n < 0) n = -n, x = 1/x;
for(u = n; ; ) {
if(u & 01) pow *= x;
if(u >>= 1) x *= x;
else break;
}
}
return pow;
}
#ifdef _MSC_VER
static _Fcomplex cpow_ui(_Fcomplex x, integer n) {
_Fcomplex pow={1.0,0.0}; unsigned long int u;
if(n != 0) {
if(n < 0) n = -n, x._Val[0] = 1./x._Val[0], x._Val[1]=1./x._Val[1];
for(u = n; ; ) {
if(u & 01) pow = _FCmulcc (pow,x);
if(u >>= 1) x = _FCmulcc (x,x);
else break;
}
}
return pow;
}
#else
static _Complex float cpow_ui(_Complex float x, integer n) {
_Complex float pow=1.0; unsigned long int u;
if(n != 0) {
if(n < 0) n = -n, x = 1/x;
for(u = n; ; ) {
if(u & 01) pow *= x;
if(u >>= 1) x *= x;
else break;
}
}
return pow;
}
#endif
#ifdef _MSC_VER
static _Dcomplex zpow_ui(_Dcomplex x, integer n) {
_Dcomplex pow={1.0,0.0}; unsigned long int u;
if(n != 0) {
if(n < 0) n = -n, x._Val[0] = 1/x._Val[0], x._Val[1] =1/x._Val[1];
for(u = n; ; ) {
if(u & 01) pow._Val[0] *= x._Val[0], pow._Val[1] *= x._Val[1];
if(u >>= 1) x._Val[0] *= x._Val[0], x._Val[1] *= x._Val[1];
else break;
}
}
_Dcomplex p = {pow._Val[0], pow._Val[1]};
return p;
}
#else
static _Complex double zpow_ui(_Complex double x, integer n) {
_Complex double pow=1.0; unsigned long int u;
if(n != 0) {
if(n < 0) n = -n, x = 1/x;
for(u = n; ; ) {
if(u & 01) pow *= x;
if(u >>= 1) x *= x;
else break;
}
}
return pow;
}
#endif
static integer pow_ii(integer x, integer n) {
integer pow; unsigned long int u;
if (n <= 0) {
if (n == 0 || x == 1) pow = 1;
else if (x != -1) pow = x == 0 ? 1/x : 0;
else n = -n;
}
if ((n > 0) || !(n == 0 || x == 1 || x != -1)) {
u = n;
for(pow = 1; ; ) {
if(u & 01) pow *= x;
if(u >>= 1) x *= x;
else break;
}
}
return pow;
}
static integer dmaxloc_(double *w, integer s, integer e, integer *n)
{
double m; integer i, mi;
for(m=w[s-1], mi=s, i=s+1; i<=e; i++)
if (w[i-1]>m) mi=i ,m=w[i-1];
return mi-s+1;
}
static integer smaxloc_(float *w, integer s, integer e, integer *n)
{
float m; integer i, mi;
for(m=w[s-1], mi=s, i=s+1; i<=e; i++)
if (w[i-1]>m) mi=i ,m=w[i-1];
return mi-s+1;
}
static inline void cdotc_(complex *z, integer *n_, complex *x, integer *incx_, complex *y, integer *incy_) {
integer n = *n_, incx = *incx_, incy = *incy_, i;
#ifdef _MSC_VER
_Fcomplex zdotc = {0.0, 0.0};
if (incx == 1 && incy == 1) {
for (i=0;i<n;i++) { /* zdotc = zdotc + dconjg(x(i))* y(i) */
zdotc._Val[0] += conjf(Cf(&x[i]))._Val[0] * Cf(&y[i])._Val[0];
zdotc._Val[1] += conjf(Cf(&x[i]))._Val[1] * Cf(&y[i])._Val[1];
}
} else {
for (i=0;i<n;i++) { /* zdotc = zdotc + dconjg(x(i))* y(i) */
zdotc._Val[0] += conjf(Cf(&x[i*incx]))._Val[0] * Cf(&y[i*incy])._Val[0];
zdotc._Val[1] += conjf(Cf(&x[i*incx]))._Val[1] * Cf(&y[i*incy])._Val[1];
}
}
pCf(z) = zdotc;
}
#else
_Complex float zdotc = 0.0;
if (incx == 1 && incy == 1) {
for (i=0;i<n;i++) { /* zdotc = zdotc + dconjg(x(i))* y(i) */
zdotc += conjf(Cf(&x[i])) * Cf(&y[i]);
}
} else {
for (i=0;i<n;i++) { /* zdotc = zdotc + dconjg(x(i))* y(i) */
zdotc += conjf(Cf(&x[i*incx])) * Cf(&y[i*incy]);
}
}
pCf(z) = zdotc;
}
#endif
static inline void zdotc_(doublecomplex *z, integer *n_, doublecomplex *x, integer *incx_, doublecomplex *y, integer *incy_) {
integer n = *n_, incx = *incx_, incy = *incy_, i;
#ifdef _MSC_VER
_Dcomplex zdotc = {0.0, 0.0};
if (incx == 1 && incy == 1) {
for (i=0;i<n;i++) { /* zdotc = zdotc + dconjg(x(i))* y(i) */
zdotc._Val[0] += conj(Cd(&x[i]))._Val[0] * Cd(&y[i])._Val[0];
zdotc._Val[1] += conj(Cd(&x[i]))._Val[1] * Cd(&y[i])._Val[1];
}
} else {
for (i=0;i<n;i++) { /* zdotc = zdotc + dconjg(x(i))* y(i) */
zdotc._Val[0] += conj(Cd(&x[i*incx]))._Val[0] * Cd(&y[i*incy])._Val[0];
zdotc._Val[1] += conj(Cd(&x[i*incx]))._Val[1] * Cd(&y[i*incy])._Val[1];
}
}
pCd(z) = zdotc;
}
#else
_Complex double zdotc = 0.0;
if (incx == 1 && incy == 1) {
for (i=0;i<n;i++) { /* zdotc = zdotc + dconjg(x(i))* y(i) */
zdotc += conj(Cd(&x[i])) * Cd(&y[i]);
}
} else {
for (i=0;i<n;i++) { /* zdotc = zdotc + dconjg(x(i))* y(i) */
zdotc += conj(Cd(&x[i*incx])) * Cd(&y[i*incy]);
}
}
pCd(z) = zdotc;
}
#endif
static inline void cdotu_(complex *z, integer *n_, complex *x, integer *incx_, complex *y, integer *incy_) {
integer n = *n_, incx = *incx_, incy = *incy_, i;
#ifdef _MSC_VER
_Fcomplex zdotc = {0.0, 0.0};
if (incx == 1 && incy == 1) {
for (i=0;i<n;i++) { /* zdotc = zdotc + dconjg(x(i))* y(i) */
zdotc._Val[0] += Cf(&x[i])._Val[0] * Cf(&y[i])._Val[0];
zdotc._Val[1] += Cf(&x[i])._Val[1] * Cf(&y[i])._Val[1];
}
} else {
for (i=0;i<n;i++) { /* zdotc = zdotc + dconjg(x(i))* y(i) */
zdotc._Val[0] += Cf(&x[i*incx])._Val[0] * Cf(&y[i*incy])._Val[0];
zdotc._Val[1] += Cf(&x[i*incx])._Val[1] * Cf(&y[i*incy])._Val[1];
}
}
pCf(z) = zdotc;
}
#else
_Complex float zdotc = 0.0;
if (incx == 1 && incy == 1) {
for (i=0;i<n;i++) { /* zdotc = zdotc + dconjg(x(i))* y(i) */
zdotc += Cf(&x[i]) * Cf(&y[i]);
}
} else {
for (i=0;i<n;i++) { /* zdotc = zdotc + dconjg(x(i))* y(i) */
zdotc += Cf(&x[i*incx]) * Cf(&y[i*incy]);
}
}
pCf(z) = zdotc;
}
#endif
static inline void zdotu_(doublecomplex *z, integer *n_, doublecomplex *x, integer *incx_, doublecomplex *y, integer *incy_) {
integer n = *n_, incx = *incx_, incy = *incy_, i;
#ifdef _MSC_VER
_Dcomplex zdotc = {0.0, 0.0};
if (incx == 1 && incy == 1) {
for (i=0;i<n;i++) { /* zdotc = zdotc + dconjg(x(i))* y(i) */
zdotc._Val[0] += Cd(&x[i])._Val[0] * Cd(&y[i])._Val[0];
zdotc._Val[1] += Cd(&x[i])._Val[1] * Cd(&y[i])._Val[1];
}
} else {
for (i=0;i<n;i++) { /* zdotc = zdotc + dconjg(x(i))* y(i) */
zdotc._Val[0] += Cd(&x[i*incx])._Val[0] * Cd(&y[i*incy])._Val[0];
zdotc._Val[1] += Cd(&x[i*incx])._Val[1] * Cd(&y[i*incy])._Val[1];
}
}
pCd(z) = zdotc;
}
#else
_Complex double zdotc = 0.0;
if (incx == 1 && incy == 1) {
for (i=0;i<n;i++) { /* zdotc = zdotc + dconjg(x(i))* y(i) */
zdotc += Cd(&x[i]) * Cd(&y[i]);
}
} else {
for (i=0;i<n;i++) { /* zdotc = zdotc + dconjg(x(i))* y(i) */
zdotc += Cd(&x[i*incx]) * Cd(&y[i*incy]);
}
}
pCd(z) = zdotc;
}
#endif
/* -- translated by f2c (version 20000121).
You must link the resulting object file with the libraries:
-lf2c -lm (in that order)
*/
/* Table of constant values */
static integer c__1 = 1;
static integer c__2 = 2;
/* > \brief \b CLAHQR computes the eigenvalues and Schur factorization of an upper Hessenberg matrix, using th
e double-shift/single-shift QR algorithm. */
/* =========== DOCUMENTATION =========== */
/* Online html documentation available at */
/* http://www.netlib.org/lapack/explore-html/ */
/* > \htmlonly */
/* > Download CLAHQR + dependencies */
/* > <a href="http://www.netlib.org/cgi-bin/netlibfiles.tgz?format=tgz&filename=/lapack/lapack_routine/clahqr.
f"> */
/* > [TGZ]</a> */
/* > <a href="http://www.netlib.org/cgi-bin/netlibfiles.zip?format=zip&filename=/lapack/lapack_routine/clahqr.
f"> */
/* > [ZIP]</a> */
/* > <a href="http://www.netlib.org/cgi-bin/netlibfiles.txt?format=txt&filename=/lapack/lapack_routine/clahqr.
f"> */
/* > [TXT]</a> */
/* > \endhtmlonly */
/* Definition: */
/* =========== */
/* SUBROUTINE CLAHQR( WANTT, WANTZ, N, ILO, IHI, H, LDH, W, ILOZ, */
/* IHIZ, Z, LDZ, INFO ) */
/* INTEGER IHI, IHIZ, ILO, ILOZ, INFO, LDH, LDZ, N */
/* LOGICAL WANTT, WANTZ */
/* COMPLEX H( LDH, * ), W( * ), Z( LDZ, * ) */
/* > \par Purpose: */
/* ============= */
/* > */
/* > \verbatim */
/* > */
/* > CLAHQR is an auxiliary routine called by CHSEQR to update the */
/* > eigenvalues and Schur decomposition already computed by CHSEQR, by */
/* > dealing with the Hessenberg submatrix in rows and columns ILO to */
/* > IHI. */
/* > \endverbatim */
/* Arguments: */
/* ========== */
/* > \param[in] WANTT */
/* > \verbatim */
/* > WANTT is LOGICAL */
/* > = .TRUE. : the full Schur form T is required; */
/* > = .FALSE.: only eigenvalues are required. */
/* > \endverbatim */
/* > */
/* > \param[in] WANTZ */
/* > \verbatim */
/* > WANTZ is LOGICAL */
/* > = .TRUE. : the matrix of Schur vectors Z is required; */
/* > = .FALSE.: Schur vectors are not required. */
/* > \endverbatim */
/* > */
/* > \param[in] N */
/* > \verbatim */
/* > N is INTEGER */
/* > The order of the matrix H. N >= 0. */
/* > \endverbatim */
/* > */
/* > \param[in] ILO */
/* > \verbatim */
/* > ILO is INTEGER */
/* > \endverbatim */
/* > */
/* > \param[in] IHI */
/* > \verbatim */
/* > IHI is INTEGER */
/* > It is assumed that H is already upper triangular in rows and */
/* > columns IHI+1:N, and that H(ILO,ILO-1) = 0 (unless ILO = 1). */
/* > CLAHQR works primarily with the Hessenberg submatrix in rows */
/* > and columns ILO to IHI, but applies transformations to all of */
/* > H if WANTT is .TRUE.. */
/* > 1 <= ILO <= f2cmax(1,IHI); IHI <= N. */
/* > \endverbatim */
/* > */
/* > \param[in,out] H */
/* > \verbatim */
/* > H is COMPLEX array, dimension (LDH,N) */
/* > On entry, the upper Hessenberg matrix H. */
/* > On exit, if INFO is zero and if WANTT is .TRUE., then H */
/* > is upper triangular in rows and columns ILO:IHI. If INFO */
/* > is zero and if WANTT is .FALSE., then the contents of H */
/* > are unspecified on exit. The output state of H in case */
/* > INF is positive is below under the description of INFO. */
/* > \endverbatim */
/* > */
/* > \param[in] LDH */
/* > \verbatim */
/* > LDH is INTEGER */
/* > The leading dimension of the array H. LDH >= f2cmax(1,N). */
/* > \endverbatim */
/* > */
/* > \param[out] W */
/* > \verbatim */
/* > W is COMPLEX array, dimension (N) */
/* > The computed eigenvalues ILO to IHI are stored in the */
/* > corresponding elements of W. If WANTT is .TRUE., the */
/* > eigenvalues are stored in the same order as on the diagonal */
/* > of the Schur form returned in H, with W(i) = H(i,i). */
/* > \endverbatim */
/* > */
/* > \param[in] ILOZ */
/* > \verbatim */
/* > ILOZ is INTEGER */
/* > \endverbatim */
/* > */
/* > \param[in] IHIZ */
/* > \verbatim */
/* > IHIZ is INTEGER */
/* > Specify the rows of Z to which transformations must be */
/* > applied if WANTZ is .TRUE.. */
/* > 1 <= ILOZ <= ILO; IHI <= IHIZ <= N. */
/* > \endverbatim */
/* > */
/* > \param[in,out] Z */
/* > \verbatim */
/* > Z is COMPLEX array, dimension (LDZ,N) */
/* > If WANTZ is .TRUE., on entry Z must contain the current */
/* > matrix Z of transformations accumulated by CHSEQR, and on */
/* > exit Z has been updated; transformations are applied only to */
/* > the submatrix Z(ILOZ:IHIZ,ILO:IHI). */
/* > If WANTZ is .FALSE., Z is not referenced. */
/* > \endverbatim */
/* > */
/* > \param[in] LDZ */
/* > \verbatim */
/* > LDZ is INTEGER */
/* > The leading dimension of the array Z. LDZ >= f2cmax(1,N). */
/* > \endverbatim */
/* > */
/* > \param[out] INFO */
/* > \verbatim */
/* > INFO is INTEGER */
/* > = 0: successful exit */
/* > > 0: if INFO = i, CLAHQR failed to compute all the */
/* > eigenvalues ILO to IHI in a total of 30 iterations */
/* > per eigenvalue; elements i+1:ihi of W contain */
/* > those eigenvalues which have been successfully */
/* > computed. */
/* > */
/* > If INFO > 0 and WANTT is .FALSE., then on exit, */
/* > the remaining unconverged eigenvalues are the */
/* > eigenvalues of the upper Hessenberg matrix */
/* > rows and columns ILO through INFO of the final, */
/* > output value of H. */
/* > */
/* > If INFO > 0 and WANTT is .TRUE., then on exit */
/* > (*) (initial value of H)*U = U*(final value of H) */
/* > where U is an orthogonal matrix. The final */
/* > value of H is upper Hessenberg and triangular in */
/* > rows and columns INFO+1 through IHI. */
/* > */
/* > If INFO > 0 and WANTZ is .TRUE., then on exit */
/* > (final value of Z) = (initial value of Z)*U */
/* > where U is the orthogonal matrix in (*) */
/* > (regardless of the value of WANTT.) */
/* > \endverbatim */
/* Authors: */
/* ======== */
/* > \author Univ. of Tennessee */
/* > \author Univ. of California Berkeley */
/* > \author Univ. of Colorado Denver */
/* > \author NAG Ltd. */
/* > \date December 2016 */
/* > \ingroup complexOTHERauxiliary */
/* > \par Contributors: */
/* ================== */
/* > */
/* > \verbatim */
/* > */
/* > 02-96 Based on modifications by */
/* > David Day, Sandia National Laboratory, USA */
/* > */
/* > 12-04 Further modifications by */
/* > Ralph Byers, University of Kansas, USA */
/* > This is a modified version of CLAHQR from LAPACK version 3.0. */
/* > It is (1) more robust against overflow and underflow and */
/* > (2) adopts the more conservative Ahues & Tisseur stopping */
/* > criterion (LAWN 122, 1997). */
/* > \endverbatim */
/* > */
/* ===================================================================== */
/* Subroutine */ void clahqr_(logical *wantt, logical *wantz, integer *n,
integer *ilo, integer *ihi, complex *h__, integer *ldh, complex *w,
integer *iloz, integer *ihiz, complex *z__, integer *ldz, integer *
info)
{
/* System generated locals */
integer h_dim1, h_offset, z_dim1, z_offset, i__1, i__2, i__3, i__4, i__5;
real r__1, r__2, r__3, r__4, r__5, r__6;
complex q__1, q__2, q__3, q__4, q__5, q__6, q__7;
/* Local variables */
complex temp;
integer i__, j, k, l, m;
real s;
complex t, u, v[2], x, y;
extern /* Subroutine */ void cscal_(integer *, complex *, complex *,
integer *), ccopy_(integer *, complex *, integer *, complex *,
integer *);
integer itmax;
real rtemp;
integer i1, i2;
complex t1;
real t2;
complex v2;
real aa, ab, ba, bb, h10;
complex h11;
real h21;
complex h22, sc;
integer nh;
extern /* Subroutine */ void slabad_(real *, real *), clarfg_(integer *,
complex *, complex *, integer *, complex *);
extern /* Complex */ VOID cladiv_(complex *, complex *, complex *);
extern real slamch_(char *);
integer nz;
real sx, safmin, safmax, smlnum;
integer jhi;
complex h11s;
integer jlo, its;
real ulp;
complex sum;
real tst;
/* -- LAPACK auxiliary routine (version 3.7.0) -- */
/* -- LAPACK is a software package provided by Univ. of Tennessee, -- */
/* -- Univ. of California Berkeley, Univ. of Colorado Denver and NAG Ltd..-- */
/* December 2016 */
/* ========================================================= */
/* Parameter adjustments */
h_dim1 = *ldh;
h_offset = 1 + h_dim1 * 1;
h__ -= h_offset;
--w;
z_dim1 = *ldz;
z_offset = 1 + z_dim1 * 1;
z__ -= z_offset;
/* Function Body */
*info = 0;
/* Quick return if possible */
if (*n == 0) {
return;
}
if (*ilo == *ihi) {
i__1 = *ilo;
i__2 = *ilo + *ilo * h_dim1;
w[i__1].r = h__[i__2].r, w[i__1].i = h__[i__2].i;
return;
}
/* ==== clear out the trash ==== */
i__1 = *ihi - 3;
for (j = *ilo; j <= i__1; ++j) {
i__2 = j + 2 + j * h_dim1;
h__[i__2].r = 0.f, h__[i__2].i = 0.f;
i__2 = j + 3 + j * h_dim1;
h__[i__2].r = 0.f, h__[i__2].i = 0.f;
/* L10: */
}
if (*ilo <= *ihi - 2) {
i__1 = *ihi + (*ihi - 2) * h_dim1;
h__[i__1].r = 0.f, h__[i__1].i = 0.f;
}
/* ==== ensure that subdiagonal entries are real ==== */
if (*wantt) {
jlo = 1;
jhi = *n;
} else {
jlo = *ilo;
jhi = *ihi;
}
i__1 = *ihi;
for (i__ = *ilo + 1; i__ <= i__1; ++i__) {
if (r_imag(&h__[i__ + (i__ - 1) * h_dim1]) != 0.f) {
/* ==== The following redundant normalization */
/* . avoids problems with both gradual and */
/* . sudden underflow in ABS(H(I,I-1)) ==== */
i__2 = i__ + (i__ - 1) * h_dim1;
i__3 = i__ + (i__ - 1) * h_dim1;
r__3 = (r__1 = h__[i__3].r, abs(r__1)) + (r__2 = r_imag(&h__[i__
+ (i__ - 1) * h_dim1]), abs(r__2));
q__1.r = h__[i__2].r / r__3, q__1.i = h__[i__2].i / r__3;
sc.r = q__1.r, sc.i = q__1.i;
r_cnjg(&q__2, &sc);
r__1 = c_abs(&sc);
q__1.r = q__2.r / r__1, q__1.i = q__2.i / r__1;
sc.r = q__1.r, sc.i = q__1.i;
i__2 = i__ + (i__ - 1) * h_dim1;
r__1 = c_abs(&h__[i__ + (i__ - 1) * h_dim1]);
h__[i__2].r = r__1, h__[i__2].i = 0.f;
i__2 = jhi - i__ + 1;
cscal_(&i__2, &sc, &h__[i__ + i__ * h_dim1], ldh);
/* Computing MIN */
i__3 = jhi, i__4 = i__ + 1;
i__2 = f2cmin(i__3,i__4) - jlo + 1;
r_cnjg(&q__1, &sc);
cscal_(&i__2, &q__1, &h__[jlo + i__ * h_dim1], &c__1);
if (*wantz) {
i__2 = *ihiz - *iloz + 1;
r_cnjg(&q__1, &sc);
cscal_(&i__2, &q__1, &z__[*iloz + i__ * z_dim1], &c__1);
}
}
/* L20: */
}
nh = *ihi - *ilo + 1;
nz = *ihiz - *iloz + 1;
/* Set machine-dependent constants for the stopping criterion. */
safmin = slamch_("SAFE MINIMUM");
safmax = 1.f / safmin;
slabad_(&safmin, &safmax);
ulp = slamch_("PRECISION");
smlnum = safmin * ((real) nh / ulp);
/* I1 and I2 are the indices of the first row and last column of H */
/* to which transformations must be applied. If eigenvalues only are */
/* being computed, I1 and I2 are set inside the main loop. */
if (*wantt) {
i1 = 1;
i2 = *n;
}
/* ITMAX is the total number of QR iterations allowed. */
itmax = f2cmax(10,nh) * 30;
/* The main loop begins here. I is the loop index and decreases from */
/* IHI to ILO in steps of 1. Each iteration of the loop works */
/* with the active submatrix in rows and columns L to I. */
/* Eigenvalues I+1 to IHI have already converged. Either L = ILO, or */
/* H(L,L-1) is negligible so that the matrix splits. */
i__ = *ihi;
L30:
if (i__ < *ilo) {
goto L150;
}
/* Perform QR iterations on rows and columns ILO to I until a */
/* submatrix of order 1 splits off at the bottom because a */
/* subdiagonal element has become negligible. */
l = *ilo;
i__1 = itmax;
for (its = 0; its <= i__1; ++its) {
/* Look for a single small subdiagonal element. */
i__2 = l + 1;
for (k = i__; k >= i__2; --k) {
i__3 = k + (k - 1) * h_dim1;
if ((r__1 = h__[i__3].r, abs(r__1)) + (r__2 = r_imag(&h__[k + (k
- 1) * h_dim1]), abs(r__2)) <= smlnum) {
goto L50;
}
i__3 = k - 1 + (k - 1) * h_dim1;
i__4 = k + k * h_dim1;
tst = (r__1 = h__[i__3].r, abs(r__1)) + (r__2 = r_imag(&h__[k - 1
+ (k - 1) * h_dim1]), abs(r__2)) + ((r__3 = h__[i__4].r,
abs(r__3)) + (r__4 = r_imag(&h__[k + k * h_dim1]), abs(
r__4)));
if (tst == 0.f) {
if (k - 2 >= *ilo) {
i__3 = k - 1 + (k - 2) * h_dim1;
tst += (r__1 = h__[i__3].r, abs(r__1));
}
if (k + 1 <= *ihi) {
i__3 = k + 1 + k * h_dim1;
tst += (r__1 = h__[i__3].r, abs(r__1));
}
}
/* ==== The following is a conservative small subdiagonal */
/* . deflation criterion due to Ahues & Tisseur (LAWN 122, */
/* . 1997). It has better mathematical foundation and */
/* . improves accuracy in some examples. ==== */
i__3 = k + (k - 1) * h_dim1;
if ((r__1 = h__[i__3].r, abs(r__1)) <= ulp * tst) {
/* Computing MAX */
i__3 = k + (k - 1) * h_dim1;
i__4 = k - 1 + k * h_dim1;
r__5 = (r__1 = h__[i__3].r, abs(r__1)) + (r__2 = r_imag(&h__[
k + (k - 1) * h_dim1]), abs(r__2)), r__6 = (r__3 =
h__[i__4].r, abs(r__3)) + (r__4 = r_imag(&h__[k - 1 +
k * h_dim1]), abs(r__4));
ab = f2cmax(r__5,r__6);
/* Computing MIN */
i__3 = k + (k - 1) * h_dim1;
i__4 = k - 1 + k * h_dim1;
r__5 = (r__1 = h__[i__3].r, abs(r__1)) + (r__2 = r_imag(&h__[
k + (k - 1) * h_dim1]), abs(r__2)), r__6 = (r__3 =
h__[i__4].r, abs(r__3)) + (r__4 = r_imag(&h__[k - 1 +
k * h_dim1]), abs(r__4));
ba = f2cmin(r__5,r__6);
i__3 = k - 1 + (k - 1) * h_dim1;
i__4 = k + k * h_dim1;
q__2.r = h__[i__3].r - h__[i__4].r, q__2.i = h__[i__3].i -
h__[i__4].i;
q__1.r = q__2.r, q__1.i = q__2.i;
/* Computing MAX */
i__5 = k + k * h_dim1;
r__5 = (r__1 = h__[i__5].r, abs(r__1)) + (r__2 = r_imag(&h__[
k + k * h_dim1]), abs(r__2)), r__6 = (r__3 = q__1.r,
abs(r__3)) + (r__4 = r_imag(&q__1), abs(r__4));
aa = f2cmax(r__5,r__6);
i__3 = k - 1 + (k - 1) * h_dim1;
i__4 = k + k * h_dim1;
q__2.r = h__[i__3].r - h__[i__4].r, q__2.i = h__[i__3].i -
h__[i__4].i;
q__1.r = q__2.r, q__1.i = q__2.i;
/* Computing MIN */
i__5 = k + k * h_dim1;
r__5 = (r__1 = h__[i__5].r, abs(r__1)) + (r__2 = r_imag(&h__[
k + k * h_dim1]), abs(r__2)), r__6 = (r__3 = q__1.r,
abs(r__3)) + (r__4 = r_imag(&q__1), abs(r__4));
bb = f2cmin(r__5,r__6);
s = aa + ab;
/* Computing MAX */
r__1 = smlnum, r__2 = ulp * (bb * (aa / s));
if (ba * (ab / s) <= f2cmax(r__1,r__2)) {
goto L50;
}
}
/* L40: */
}
L50:
l = k;
if (l > *ilo) {
/* H(L,L-1) is negligible */
i__2 = l + (l - 1) * h_dim1;
h__[i__2].r = 0.f, h__[i__2].i = 0.f;
}
/* Exit from loop if a submatrix of order 1 has split off. */
if (l >= i__) {
goto L140;
}
/* Now the active submatrix is in rows and columns L to I. If */
/* eigenvalues only are being computed, only the active submatrix */
/* need be transformed. */
if (! (*wantt)) {
i1 = l;
i2 = i__;
}
if (its == 10) {
/* Exceptional shift. */
i__2 = l + 1 + l * h_dim1;
s = (r__1 = h__[i__2].r, abs(r__1)) * .75f;
i__2 = l + l * h_dim1;
q__1.r = s + h__[i__2].r, q__1.i = h__[i__2].i;
t.r = q__1.r, t.i = q__1.i;
} else if (its == 20) {
/* Exceptional shift. */
i__2 = i__ + (i__ - 1) * h_dim1;
s = (r__1 = h__[i__2].r, abs(r__1)) * .75f;
i__2 = i__ + i__ * h_dim1;
q__1.r = s + h__[i__2].r, q__1.i = h__[i__2].i;
t.r = q__1.r, t.i = q__1.i;
} else {
/* Wilkinson's shift. */
i__2 = i__ + i__ * h_dim1;
t.r = h__[i__2].r, t.i = h__[i__2].i;
c_sqrt(&q__2, &h__[i__ - 1 + i__ * h_dim1]);
c_sqrt(&q__3, &h__[i__ + (i__ - 1) * h_dim1]);
q__1.r = q__2.r * q__3.r - q__2.i * q__3.i, q__1.i = q__2.r *
q__3.i + q__2.i * q__3.r;
u.r = q__1.r, u.i = q__1.i;
s = (r__1 = u.r, abs(r__1)) + (r__2 = r_imag(&u), abs(r__2));
if (s != 0.f) {
i__2 = i__ - 1 + (i__ - 1) * h_dim1;
q__2.r = h__[i__2].r - t.r, q__2.i = h__[i__2].i - t.i;
q__1.r = q__2.r * .5f, q__1.i = q__2.i * .5f;
x.r = q__1.r, x.i = q__1.i;
sx = (r__1 = x.r, abs(r__1)) + (r__2 = r_imag(&x), abs(r__2));
/* Computing MAX */
r__3 = s, r__4 = (r__1 = x.r, abs(r__1)) + (r__2 = r_imag(&x),
abs(r__2));
s = f2cmax(r__3,r__4);
q__5.r = x.r / s, q__5.i = x.i / s;
pow_ci(&q__4, &q__5, &c__2);
q__7.r = u.r / s, q__7.i = u.i / s;
pow_ci(&q__6, &q__7, &c__2);
q__3.r = q__4.r + q__6.r, q__3.i = q__4.i + q__6.i;
c_sqrt(&q__2, &q__3);
q__1.r = s * q__2.r, q__1.i = s * q__2.i;
y.r = q__1.r, y.i = q__1.i;
if (sx > 0.f) {
q__1.r = x.r / sx, q__1.i = x.i / sx;
q__2.r = x.r / sx, q__2.i = x.i / sx;
if (q__1.r * y.r + r_imag(&q__2) * r_imag(&y) < 0.f) {
q__3.r = -y.r, q__3.i = -y.i;
y.r = q__3.r, y.i = q__3.i;
}
}
q__4.r = x.r + y.r, q__4.i = x.i + y.i;
cladiv_(&q__3, &u, &q__4);
q__2.r = u.r * q__3.r - u.i * q__3.i, q__2.i = u.r * q__3.i +
u.i * q__3.r;
q__1.r = t.r - q__2.r, q__1.i = t.i - q__2.i;
t.r = q__1.r, t.i = q__1.i;
}
}
/* Look for two consecutive small subdiagonal elements. */
i__2 = l + 1;
for (m = i__ - 1; m >= i__2; --m) {
/* Determine the effect of starting the single-shift QR */
/* iteration at row M, and see if this would make H(M,M-1) */
/* negligible. */
i__3 = m + m * h_dim1;
h11.r = h__[i__3].r, h11.i = h__[i__3].i;
i__3 = m + 1 + (m + 1) * h_dim1;
h22.r = h__[i__3].r, h22.i = h__[i__3].i;
q__1.r = h11.r - t.r, q__1.i = h11.i - t.i;
h11s.r = q__1.r, h11s.i = q__1.i;
i__3 = m + 1 + m * h_dim1;
h21 = h__[i__3].r;
s = (r__1 = h11s.r, abs(r__1)) + (r__2 = r_imag(&h11s), abs(r__2))
+ abs(h21);
q__1.r = h11s.r / s, q__1.i = h11s.i / s;
h11s.r = q__1.r, h11s.i = q__1.i;
h21 /= s;
v[0].r = h11s.r, v[0].i = h11s.i;
v[1].r = h21, v[1].i = 0.f;
i__3 = m + (m - 1) * h_dim1;
h10 = h__[i__3].r;
if (abs(h10) * abs(h21) <= ulp * (((r__1 = h11s.r, abs(r__1)) + (
r__2 = r_imag(&h11s), abs(r__2))) * ((r__3 = h11.r, abs(
r__3)) + (r__4 = r_imag(&h11), abs(r__4)) + ((r__5 =
h22.r, abs(r__5)) + (r__6 = r_imag(&h22), abs(r__6)))))) {
goto L70;
}
/* L60: */
}
i__2 = l + l * h_dim1;
h11.r = h__[i__2].r, h11.i = h__[i__2].i;
i__2 = l + 1 + (l + 1) * h_dim1;
h22.r = h__[i__2].r, h22.i = h__[i__2].i;
q__1.r = h11.r - t.r, q__1.i = h11.i - t.i;
h11s.r = q__1.r, h11s.i = q__1.i;
i__2 = l + 1 + l * h_dim1;
h21 = h__[i__2].r;
s = (r__1 = h11s.r, abs(r__1)) + (r__2 = r_imag(&h11s), abs(r__2)) +
abs(h21);
q__1.r = h11s.r / s, q__1.i = h11s.i / s;
h11s.r = q__1.r, h11s.i = q__1.i;
h21 /= s;
v[0].r = h11s.r, v[0].i = h11s.i;
v[1].r = h21, v[1].i = 0.f;
L70:
/* Single-shift QR step */
i__2 = i__ - 1;
for (k = m; k <= i__2; ++k) {
/* The first iteration of this loop determines a reflection G */
/* from the vector V and applies it from left and right to H, */
/* thus creating a nonzero bulge below the subdiagonal. */
/* Each subsequent iteration determines a reflection G to */
/* restore the Hessenberg form in the (K-1)th column, and thus */
/* chases the bulge one step toward the bottom of the active */
/* submatrix. */
/* V(2) is always real before the call to CLARFG, and hence */
/* after the call T2 ( = T1*V(2) ) is also real. */
if (k > m) {
ccopy_(&c__2, &h__[k + (k - 1) * h_dim1], &c__1, v, &c__1);
}
clarfg_(&c__2, v, &v[1], &c__1, &t1);
if (k > m) {
i__3 = k + (k - 1) * h_dim1;
h__[i__3].r = v[0].r, h__[i__3].i = v[0].i;
i__3 = k + 1 + (k - 1) * h_dim1;
h__[i__3].r = 0.f, h__[i__3].i = 0.f;
}
v2.r = v[1].r, v2.i = v[1].i;
q__1.r = t1.r * v2.r - t1.i * v2.i, q__1.i = t1.r * v2.i + t1.i *
v2.r;
t2 = q__1.r;
/* Apply G from the left to transform the rows of the matrix */
/* in columns K to I2. */
i__3 = i2;
for (j = k; j <= i__3; ++j) {
r_cnjg(&q__3, &t1);
i__4 = k + j * h_dim1;
q__2.r = q__3.r * h__[i__4].r - q__3.i * h__[i__4].i, q__2.i =
q__3.r * h__[i__4].i + q__3.i * h__[i__4].r;
i__5 = k + 1 + j * h_dim1;
q__4.r = t2 * h__[i__5].r, q__4.i = t2 * h__[i__5].i;
q__1.r = q__2.r + q__4.r, q__1.i = q__2.i + q__4.i;
sum.r = q__1.r, sum.i = q__1.i;
i__4 = k + j * h_dim1;
i__5 = k + j * h_dim1;
q__1.r = h__[i__5].r - sum.r, q__1.i = h__[i__5].i - sum.i;
h__[i__4].r = q__1.r, h__[i__4].i = q__1.i;
i__4 = k + 1 + j * h_dim1;
i__5 = k + 1 + j * h_dim1;
q__2.r = sum.r * v2.r - sum.i * v2.i, q__2.i = sum.r * v2.i +
sum.i * v2.r;
q__1.r = h__[i__5].r - q__2.r, q__1.i = h__[i__5].i - q__2.i;
h__[i__4].r = q__1.r, h__[i__4].i = q__1.i;
/* L80: */
}
/* Apply G from the right to transform the columns of the */
/* matrix in rows I1 to f2cmin(K+2,I). */
/* Computing MIN */
i__4 = k + 2;
i__3 = f2cmin(i__4,i__);
for (j = i1; j <= i__3; ++j) {
i__4 = j + k * h_dim1;
q__2.r = t1.r * h__[i__4].r - t1.i * h__[i__4].i, q__2.i =
t1.r * h__[i__4].i + t1.i * h__[i__4].r;
i__5 = j + (k + 1) * h_dim1;
q__3.r = t2 * h__[i__5].r, q__3.i = t2 * h__[i__5].i;
q__1.r = q__2.r + q__3.r, q__1.i = q__2.i + q__3.i;
sum.r = q__1.r, sum.i = q__1.i;
i__4 = j + k * h_dim1;
i__5 = j + k * h_dim1;
q__1.r = h__[i__5].r - sum.r, q__1.i = h__[i__5].i - sum.i;
h__[i__4].r = q__1.r, h__[i__4].i = q__1.i;
i__4 = j + (k + 1) * h_dim1;
i__5 = j + (k + 1) * h_dim1;
r_cnjg(&q__3, &v2);
q__2.r = sum.r * q__3.r - sum.i * q__3.i, q__2.i = sum.r *
q__3.i + sum.i * q__3.r;
q__1.r = h__[i__5].r - q__2.r, q__1.i = h__[i__5].i - q__2.i;
h__[i__4].r = q__1.r, h__[i__4].i = q__1.i;
/* L90: */
}
if (*wantz) {
/* Accumulate transformations in the matrix Z */
i__3 = *ihiz;
for (j = *iloz; j <= i__3; ++j) {
i__4 = j + k * z_dim1;
q__2.r = t1.r * z__[i__4].r - t1.i * z__[i__4].i, q__2.i =
t1.r * z__[i__4].i + t1.i * z__[i__4].r;
i__5 = j + (k + 1) * z_dim1;
q__3.r = t2 * z__[i__5].r, q__3.i = t2 * z__[i__5].i;
q__1.r = q__2.r + q__3.r, q__1.i = q__2.i + q__3.i;
sum.r = q__1.r, sum.i = q__1.i;
i__4 = j + k * z_dim1;
i__5 = j + k * z_dim1;
q__1.r = z__[i__5].r - sum.r, q__1.i = z__[i__5].i -
sum.i;
z__[i__4].r = q__1.r, z__[i__4].i = q__1.i;
i__4 = j + (k + 1) * z_dim1;
i__5 = j + (k + 1) * z_dim1;
r_cnjg(&q__3, &v2);
q__2.r = sum.r * q__3.r - sum.i * q__3.i, q__2.i = sum.r *
q__3.i + sum.i * q__3.r;
q__1.r = z__[i__5].r - q__2.r, q__1.i = z__[i__5].i -
q__2.i;
z__[i__4].r = q__1.r, z__[i__4].i = q__1.i;
/* L100: */
}
}
if (k == m && m > l) {
/* If the QR step was started at row M > L because two */
/* consecutive small subdiagonals were found, then extra */
/* scaling must be performed to ensure that H(M,M-1) remains */
/* real. */
q__1.r = 1.f - t1.r, q__1.i = 0.f - t1.i;
temp.r = q__1.r, temp.i = q__1.i;
r__1 = c_abs(&temp);
q__1.r = temp.r / r__1, q__1.i = temp.i / r__1;
temp.r = q__1.r, temp.i = q__1.i;
i__3 = m + 1 + m * h_dim1;
i__4 = m + 1 + m * h_dim1;
r_cnjg(&q__2, &temp);
q__1.r = h__[i__4].r * q__2.r - h__[i__4].i * q__2.i, q__1.i =
h__[i__4].r * q__2.i + h__[i__4].i * q__2.r;
h__[i__3].r = q__1.r, h__[i__3].i = q__1.i;
if (m + 2 <= i__) {
i__3 = m + 2 + (m + 1) * h_dim1;
i__4 = m + 2 + (m + 1) * h_dim1;
q__1.r = h__[i__4].r * temp.r - h__[i__4].i * temp.i,
q__1.i = h__[i__4].r * temp.i + h__[i__4].i *
temp.r;
h__[i__3].r = q__1.r, h__[i__3].i = q__1.i;
}
i__3 = i__;
for (j = m; j <= i__3; ++j) {
if (j != m + 1) {
if (i2 > j) {
i__4 = i2 - j;
cscal_(&i__4, &temp, &h__[j + (j + 1) * h_dim1],
ldh);
}
i__4 = j - i1;
r_cnjg(&q__1, &temp);
cscal_(&i__4, &q__1, &h__[i1 + j * h_dim1], &c__1);
if (*wantz) {
r_cnjg(&q__1, &temp);
cscal_(&nz, &q__1, &z__[*iloz + j * z_dim1], &
c__1);
}
}
/* L110: */
}
}
/* L120: */
}
/* Ensure that H(I,I-1) is real. */
i__2 = i__ + (i__ - 1) * h_dim1;
temp.r = h__[i__2].r, temp.i = h__[i__2].i;
if (r_imag(&temp) != 0.f) {
rtemp = c_abs(&temp);
i__2 = i__ + (i__ - 1) * h_dim1;
h__[i__2].r = rtemp, h__[i__2].i = 0.f;
q__1.r = temp.r / rtemp, q__1.i = temp.i / rtemp;
temp.r = q__1.r, temp.i = q__1.i;
if (i2 > i__) {
i__2 = i2 - i__;
r_cnjg(&q__1, &temp);
cscal_(&i__2, &q__1, &h__[i__ + (i__ + 1) * h_dim1], ldh);
}
i__2 = i__ - i1;
cscal_(&i__2, &temp, &h__[i1 + i__ * h_dim1], &c__1);
if (*wantz) {
cscal_(&nz, &temp, &z__[*iloz + i__ * z_dim1], &c__1);
}
}
/* L130: */
}
/* Failure to converge in remaining number of iterations */
*info = i__;
return;
L140:
/* H(I,I-1) is negligible: one eigenvalue has converged. */
i__1 = i__;
i__2 = i__ + i__ * h_dim1;
w[i__1].r = h__[i__2].r, w[i__1].i = h__[i__2].i;
/* return to start of the main loop with new value of I. */
i__ = l - 1;
goto L30;
L150:
return;
/* End of CLAHQR */
} /* clahqr_ */
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