1309 lines
40 KiB
C
1309 lines
40 KiB
C
#include <math.h>
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#include <stdlib.h>
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#include <string.h>
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#include <stdio.h>
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#include <complex.h>
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#ifdef complex
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#undef complex
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#endif
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#ifdef I
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#undef I
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#endif
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#if defined(_WIN64)
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typedef long long BLASLONG;
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typedef unsigned long long BLASULONG;
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#else
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typedef long BLASLONG;
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typedef unsigned long BLASULONG;
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#endif
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#ifdef LAPACK_ILP64
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typedef BLASLONG blasint;
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#if defined(_WIN64)
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#define blasabs(x) llabs(x)
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#else
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#define blasabs(x) labs(x)
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#endif
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#else
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typedef int blasint;
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#define blasabs(x) abs(x)
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#endif
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typedef blasint integer;
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typedef unsigned int uinteger;
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typedef char *address;
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typedef short int shortint;
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typedef float real;
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typedef double doublereal;
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typedef struct { real r, i; } complex;
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typedef struct { doublereal r, i; } doublecomplex;
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#ifdef _MSC_VER
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static inline _Fcomplex Cf(complex *z) {_Fcomplex zz={z->r , z->i}; return zz;}
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static inline _Dcomplex Cd(doublecomplex *z) {_Dcomplex zz={z->r , z->i};return zz;}
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static inline _Fcomplex * _pCf(complex *z) {return (_Fcomplex*)z;}
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static inline _Dcomplex * _pCd(doublecomplex *z) {return (_Dcomplex*)z;}
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#else
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static inline _Complex float Cf(complex *z) {return z->r + z->i*_Complex_I;}
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static inline _Complex double Cd(doublecomplex *z) {return z->r + z->i*_Complex_I;}
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static inline _Complex float * _pCf(complex *z) {return (_Complex float*)z;}
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static inline _Complex double * _pCd(doublecomplex *z) {return (_Complex double*)z;}
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#endif
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#define pCf(z) (*_pCf(z))
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#define pCd(z) (*_pCd(z))
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typedef int logical;
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typedef short int shortlogical;
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typedef char logical1;
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typedef char integer1;
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#define TRUE_ (1)
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#define FALSE_ (0)
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/* Extern is for use with -E */
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#ifndef Extern
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#define Extern extern
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#endif
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/* I/O stuff */
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typedef int flag;
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typedef int ftnlen;
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typedef int ftnint;
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/*external read, write*/
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typedef struct
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{ flag cierr;
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ftnint ciunit;
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flag ciend;
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char *cifmt;
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ftnint cirec;
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} cilist;
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/*internal read, write*/
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typedef struct
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{ flag icierr;
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char *iciunit;
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flag iciend;
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char *icifmt;
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ftnint icirlen;
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ftnint icirnum;
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} icilist;
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/*open*/
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typedef struct
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{ flag oerr;
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ftnint ounit;
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char *ofnm;
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ftnlen ofnmlen;
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char *osta;
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char *oacc;
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char *ofm;
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ftnint orl;
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char *oblnk;
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} olist;
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/*close*/
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typedef struct
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{ flag cerr;
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ftnint cunit;
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char *csta;
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} cllist;
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/*rewind, backspace, endfile*/
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typedef struct
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{ flag aerr;
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ftnint aunit;
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} alist;
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/* inquire */
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typedef struct
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{ flag inerr;
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ftnint inunit;
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char *infile;
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ftnlen infilen;
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ftnint *inex; /*parameters in standard's order*/
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ftnint *inopen;
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ftnint *innum;
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ftnint *innamed;
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char *inname;
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ftnlen innamlen;
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char *inacc;
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ftnlen inacclen;
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char *inseq;
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ftnlen inseqlen;
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char *indir;
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ftnlen indirlen;
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char *infmt;
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ftnlen infmtlen;
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char *inform;
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ftnint informlen;
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char *inunf;
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ftnlen inunflen;
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ftnint *inrecl;
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ftnint *innrec;
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char *inblank;
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ftnlen inblanklen;
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} inlist;
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#define VOID void
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union Multitype { /* for multiple entry points */
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integer1 g;
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shortint h;
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integer i;
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/* longint j; */
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real r;
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doublereal d;
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complex c;
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doublecomplex z;
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};
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typedef union Multitype Multitype;
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struct Vardesc { /* for Namelist */
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char *name;
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char *addr;
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ftnlen *dims;
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int type;
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};
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typedef struct Vardesc Vardesc;
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struct Namelist {
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char *name;
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Vardesc **vars;
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int nvars;
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};
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typedef struct Namelist Namelist;
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#define abs(x) ((x) >= 0 ? (x) : -(x))
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#define dabs(x) (fabs(x))
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#define f2cmin(a,b) ((a) <= (b) ? (a) : (b))
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#define f2cmax(a,b) ((a) >= (b) ? (a) : (b))
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#define dmin(a,b) (f2cmin(a,b))
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#define dmax(a,b) (f2cmax(a,b))
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#define bit_test(a,b) ((a) >> (b) & 1)
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#define bit_clear(a,b) ((a) & ~((uinteger)1 << (b)))
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#define bit_set(a,b) ((a) | ((uinteger)1 << (b)))
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#define abort_() { sig_die("Fortran abort routine called", 1); }
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#define c_abs(z) (cabsf(Cf(z)))
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#define c_cos(R,Z) { pCf(R)=ccos(Cf(Z)); }
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#ifdef _MSC_VER
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#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]);}
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#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]);}
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#else
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#define c_div(c, a, b) {pCf(c) = Cf(a)/Cf(b);}
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#define z_div(c, a, b) {pCd(c) = Cd(a)/Cd(b);}
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#endif
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#define c_exp(R, Z) {pCf(R) = cexpf(Cf(Z));}
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#define c_log(R, Z) {pCf(R) = clogf(Cf(Z));}
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#define c_sin(R, Z) {pCf(R) = csinf(Cf(Z));}
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//#define c_sqrt(R, Z) {*(R) = csqrtf(Cf(Z));}
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#define c_sqrt(R, Z) {pCf(R) = csqrtf(Cf(Z));}
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#define d_abs(x) (fabs(*(x)))
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#define d_acos(x) (acos(*(x)))
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#define d_asin(x) (asin(*(x)))
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#define d_atan(x) (atan(*(x)))
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#define d_atn2(x, y) (atan2(*(x),*(y)))
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#define d_cnjg(R, Z) { pCd(R) = conj(Cd(Z)); }
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#define r_cnjg(R, Z) { pCf(R) = conjf(Cf(Z)); }
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#define d_cos(x) (cos(*(x)))
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#define d_cosh(x) (cosh(*(x)))
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#define d_dim(__a, __b) ( *(__a) > *(__b) ? *(__a) - *(__b) : 0.0 )
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#define d_exp(x) (exp(*(x)))
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#define d_imag(z) (cimag(Cd(z)))
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#define r_imag(z) (cimagf(Cf(z)))
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#define d_int(__x) (*(__x)>0 ? floor(*(__x)) : -floor(- *(__x)))
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#define r_int(__x) (*(__x)>0 ? floor(*(__x)) : -floor(- *(__x)))
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#define d_lg10(x) ( 0.43429448190325182765 * log(*(x)) )
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#define r_lg10(x) ( 0.43429448190325182765 * log(*(x)) )
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#define d_log(x) (log(*(x)))
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#define d_mod(x, y) (fmod(*(x), *(y)))
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#define u_nint(__x) ((__x)>=0 ? floor((__x) + .5) : -floor(.5 - (__x)))
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#define d_nint(x) u_nint(*(x))
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#define u_sign(__a,__b) ((__b) >= 0 ? ((__a) >= 0 ? (__a) : -(__a)) : -((__a) >= 0 ? (__a) : -(__a)))
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#define d_sign(a,b) u_sign(*(a),*(b))
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#define r_sign(a,b) u_sign(*(a),*(b))
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#define d_sin(x) (sin(*(x)))
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#define d_sinh(x) (sinh(*(x)))
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#define d_sqrt(x) (sqrt(*(x)))
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#define d_tan(x) (tan(*(x)))
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#define d_tanh(x) (tanh(*(x)))
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#define i_abs(x) abs(*(x))
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#define i_dnnt(x) ((integer)u_nint(*(x)))
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#define i_len(s, n) (n)
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#define i_nint(x) ((integer)u_nint(*(x)))
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#define i_sign(a,b) ((integer)u_sign((integer)*(a),(integer)*(b)))
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#define pow_dd(ap, bp) ( pow(*(ap), *(bp)))
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#define pow_si(B,E) spow_ui(*(B),*(E))
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#define pow_ri(B,E) spow_ui(*(B),*(E))
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#define pow_di(B,E) dpow_ui(*(B),*(E))
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#define pow_zi(p, a, b) {pCd(p) = zpow_ui(Cd(a), *(b));}
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#define pow_ci(p, a, b) {pCf(p) = cpow_ui(Cf(a), *(b));}
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#define pow_zz(R,A,B) {pCd(R) = cpow(Cd(A),*(B));}
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#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++ = ' '; }
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#define s_cmp(a,b,c,d) ((integer)strncmp((a),(b),f2cmin((c),(d))))
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#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]; }
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#define sig_die(s, kill) { exit(1); }
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#define s_stop(s, n) {exit(0);}
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static char junk[] = "\n@(#)LIBF77 VERSION 19990503\n";
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#define z_abs(z) (cabs(Cd(z)))
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#define z_exp(R, Z) {pCd(R) = cexp(Cd(Z));}
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#define z_sqrt(R, Z) {pCd(R) = csqrt(Cd(Z));}
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#define myexit_() break;
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#define mycycle() continue;
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#define myceiling(w) {ceil(w)}
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#define myhuge(w) {HUGE_VAL}
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//#define mymaxloc_(w,s,e,n) {if (sizeof(*(w)) == sizeof(double)) dmaxloc_((w),*(s),*(e),n); else dmaxloc_((w),*(s),*(e),n);}
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#define mymaxloc(w,s,e,n) {dmaxloc_(w,*(s),*(e),n)}
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/* procedure parameter types for -A and -C++ */
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#define F2C_proc_par_types 1
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#ifdef __cplusplus
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typedef logical (*L_fp)(...);
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#else
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typedef logical (*L_fp)();
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#endif
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static float spow_ui(float x, integer n) {
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float pow=1.0; unsigned long int u;
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if(n != 0) {
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if(n < 0) n = -n, x = 1/x;
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for(u = n; ; ) {
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if(u & 01) pow *= x;
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if(u >>= 1) x *= x;
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else break;
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}
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}
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return pow;
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}
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static double dpow_ui(double x, integer n) {
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double pow=1.0; unsigned long int u;
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if(n != 0) {
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if(n < 0) n = -n, x = 1/x;
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for(u = n; ; ) {
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if(u & 01) pow *= x;
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if(u >>= 1) x *= x;
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else break;
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}
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}
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return pow;
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}
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#ifdef _MSC_VER
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static _Fcomplex cpow_ui(complex x, integer n) {
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complex pow={1.0,0.0}; unsigned long int u;
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if(n != 0) {
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if(n < 0) n = -n, x.r = 1/x.r, x.i=1/x.i;
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for(u = n; ; ) {
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if(u & 01) pow.r *= x.r, pow.i *= x.i;
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if(u >>= 1) x.r *= x.r, x.i *= x.i;
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else break;
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}
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}
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_Fcomplex p={pow.r, pow.i};
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return p;
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}
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#else
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static _Complex float cpow_ui(_Complex float x, integer n) {
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_Complex float pow=1.0; unsigned long int u;
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if(n != 0) {
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if(n < 0) n = -n, x = 1/x;
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for(u = n; ; ) {
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if(u & 01) pow *= x;
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if(u >>= 1) x *= x;
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else break;
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}
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}
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return pow;
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}
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#endif
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#ifdef _MSC_VER
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static _Dcomplex zpow_ui(_Dcomplex x, integer n) {
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_Dcomplex pow={1.0,0.0}; unsigned long int u;
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if(n != 0) {
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if(n < 0) n = -n, x._Val[0] = 1/x._Val[0], x._Val[1] =1/x._Val[1];
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for(u = n; ; ) {
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if(u & 01) pow._Val[0] *= x._Val[0], pow._Val[1] *= x._Val[1];
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if(u >>= 1) x._Val[0] *= x._Val[0], x._Val[1] *= x._Val[1];
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else break;
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}
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}
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_Dcomplex p = {pow._Val[0], pow._Val[1]};
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return p;
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}
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#else
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static _Complex double zpow_ui(_Complex double x, integer n) {
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_Complex double pow=1.0; unsigned long int u;
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if(n != 0) {
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if(n < 0) n = -n, x = 1/x;
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for(u = n; ; ) {
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if(u & 01) pow *= x;
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if(u >>= 1) x *= x;
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else break;
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}
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}
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return pow;
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}
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#endif
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static integer pow_ii(integer x, integer n) {
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integer pow; unsigned long int u;
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if (n <= 0) {
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if (n == 0 || x == 1) pow = 1;
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else if (x != -1) pow = x == 0 ? 1/x : 0;
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else n = -n;
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}
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if ((n > 0) || !(n == 0 || x == 1 || x != -1)) {
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u = n;
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for(pow = 1; ; ) {
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if(u & 01) pow *= x;
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if(u >>= 1) x *= x;
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else break;
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}
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}
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return pow;
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}
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static integer dmaxloc_(double *w, integer s, integer e, integer *n)
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{
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double m; integer i, mi;
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for(m=w[s-1], mi=s, i=s+1; i<=e; i++)
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if (w[i-1]>m) mi=i ,m=w[i-1];
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return mi-s+1;
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}
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static integer smaxloc_(float *w, integer s, integer e, integer *n)
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{
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float m; integer i, mi;
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for(m=w[s-1], mi=s, i=s+1; i<=e; i++)
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if (w[i-1]>m) mi=i ,m=w[i-1];
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return mi-s+1;
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}
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static inline void cdotc_(complex *z, integer *n_, complex *x, integer *incx_, complex *y, integer *incy_) {
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integer n = *n_, incx = *incx_, incy = *incy_, i;
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#ifdef _MSC_VER
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_Fcomplex zdotc = {0.0, 0.0};
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if (incx == 1 && incy == 1) {
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for (i=0;i<n;i++) { /* zdotc = zdotc + dconjg(x(i))* y(i) */
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zdotc._Val[0] += conjf(Cf(&x[i]))._Val[0] * Cf(&y[i])._Val[0];
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zdotc._Val[1] += conjf(Cf(&x[i]))._Val[1] * Cf(&y[i])._Val[1];
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}
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} else {
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for (i=0;i<n;i++) { /* zdotc = zdotc + dconjg(x(i))* y(i) */
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zdotc._Val[0] += conjf(Cf(&x[i*incx]))._Val[0] * Cf(&y[i*incy])._Val[0];
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zdotc._Val[1] += conjf(Cf(&x[i*incx]))._Val[1] * Cf(&y[i*incy])._Val[1];
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}
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}
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pCf(z) = zdotc;
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}
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#else
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_Complex float zdotc = 0.0;
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if (incx == 1 && incy == 1) {
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for (i=0;i<n;i++) { /* zdotc = zdotc + dconjg(x(i))* y(i) */
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zdotc += conjf(Cf(&x[i])) * Cf(&y[i]);
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}
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} else {
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for (i=0;i<n;i++) { /* zdotc = zdotc + dconjg(x(i))* y(i) */
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zdotc += conjf(Cf(&x[i*incx])) * Cf(&y[i*incy]);
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}
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}
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pCf(z) = zdotc;
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}
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#endif
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static inline void zdotc_(doublecomplex *z, integer *n_, doublecomplex *x, integer *incx_, doublecomplex *y, integer *incy_) {
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integer n = *n_, incx = *incx_, incy = *incy_, i;
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#ifdef _MSC_VER
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_Dcomplex zdotc = {0.0, 0.0};
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if (incx == 1 && incy == 1) {
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for (i=0;i<n;i++) { /* zdotc = zdotc + dconjg(x(i))* y(i) */
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zdotc._Val[0] += conj(Cd(&x[i]))._Val[0] * Cd(&y[i])._Val[0];
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zdotc._Val[1] += conj(Cd(&x[i]))._Val[1] * Cd(&y[i])._Val[1];
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}
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} 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 complex c_b1 = {0.f,0.f};
|
|
static integer c__9 = 9;
|
|
static integer c__0 = 0;
|
|
static integer c__6 = 6;
|
|
static integer c_n1 = -1;
|
|
static integer c__1 = 1;
|
|
static real c_b80 = 0.f;
|
|
|
|
/* > \brief <b> CGELSD computes the minimum-norm solution to a linear least squares problem for GE matrices</b
|
|
> */
|
|
|
|
/* =========== DOCUMENTATION =========== */
|
|
|
|
/* Online html documentation available at */
|
|
/* http://www.netlib.org/lapack/explore-html/ */
|
|
|
|
/* > \htmlonly */
|
|
/* > Download CGELSD + dependencies */
|
|
/* > <a href="http://www.netlib.org/cgi-bin/netlibfiles.tgz?format=tgz&filename=/lapack/lapack_routine/cgelsd.
|
|
f"> */
|
|
/* > [TGZ]</a> */
|
|
/* > <a href="http://www.netlib.org/cgi-bin/netlibfiles.zip?format=zip&filename=/lapack/lapack_routine/cgelsd.
|
|
f"> */
|
|
/* > [ZIP]</a> */
|
|
/* > <a href="http://www.netlib.org/cgi-bin/netlibfiles.txt?format=txt&filename=/lapack/lapack_routine/cgelsd.
|
|
f"> */
|
|
/* > [TXT]</a> */
|
|
/* > \endhtmlonly */
|
|
|
|
/* Definition: */
|
|
/* =========== */
|
|
|
|
/* SUBROUTINE CGELSD( M, N, NRHS, A, LDA, B, LDB, S, RCOND, RANK, */
|
|
/* WORK, LWORK, RWORK, IWORK, INFO ) */
|
|
|
|
/* INTEGER INFO, LDA, LDB, LWORK, M, N, NRHS, RANK */
|
|
/* REAL RCOND */
|
|
/* INTEGER IWORK( * ) */
|
|
/* REAL RWORK( * ), S( * ) */
|
|
/* COMPLEX A( LDA, * ), B( LDB, * ), WORK( * ) */
|
|
|
|
|
|
/* > \par Purpose: */
|
|
/* ============= */
|
|
/* > */
|
|
/* > \verbatim */
|
|
/* > */
|
|
/* > CGELSD computes the minimum-norm solution to a real linear least */
|
|
/* > squares problem: */
|
|
/* > minimize 2-norm(| b - A*x |) */
|
|
/* > using the singular value decomposition (SVD) of A. A is an M-by-N */
|
|
/* > matrix which may be rank-deficient. */
|
|
/* > */
|
|
/* > Several right hand side vectors b and solution vectors x can be */
|
|
/* > handled in a single call; they are stored as the columns of the */
|
|
/* > M-by-NRHS right hand side matrix B and the N-by-NRHS solution */
|
|
/* > matrix X. */
|
|
/* > */
|
|
/* > The problem is solved in three steps: */
|
|
/* > (1) Reduce the coefficient matrix A to bidiagonal form with */
|
|
/* > Householder transformations, reducing the original problem */
|
|
/* > into a "bidiagonal least squares problem" (BLS) */
|
|
/* > (2) Solve the BLS using a divide and conquer approach. */
|
|
/* > (3) Apply back all the Householder transformations to solve */
|
|
/* > the original least squares problem. */
|
|
/* > */
|
|
/* > The effective rank of A is determined by treating as zero those */
|
|
/* > singular values which are less than RCOND times the largest singular */
|
|
/* > value. */
|
|
/* > */
|
|
/* > The divide and conquer algorithm makes very mild assumptions about */
|
|
/* > floating point arithmetic. It will work on machines with a guard */
|
|
/* > digit in add/subtract, or on those binary machines without guard */
|
|
/* > digits which subtract like the Cray X-MP, Cray Y-MP, Cray C-90, or */
|
|
/* > Cray-2. It could conceivably fail on hexadecimal or decimal machines */
|
|
/* > without guard digits, but we know of none. */
|
|
/* > \endverbatim */
|
|
|
|
/* Arguments: */
|
|
/* ========== */
|
|
|
|
/* > \param[in] M */
|
|
/* > \verbatim */
|
|
/* > M is INTEGER */
|
|
/* > The number of rows of the matrix A. M >= 0. */
|
|
/* > \endverbatim */
|
|
/* > */
|
|
/* > \param[in] N */
|
|
/* > \verbatim */
|
|
/* > N is INTEGER */
|
|
/* > The number of columns of the matrix A. N >= 0. */
|
|
/* > \endverbatim */
|
|
/* > */
|
|
/* > \param[in] NRHS */
|
|
/* > \verbatim */
|
|
/* > NRHS is INTEGER */
|
|
/* > The number of right hand sides, i.e., the number of columns */
|
|
/* > of the matrices B and X. NRHS >= 0. */
|
|
/* > \endverbatim */
|
|
/* > */
|
|
/* > \param[in,out] A */
|
|
/* > \verbatim */
|
|
/* > A is COMPLEX array, dimension (LDA,N) */
|
|
/* > On entry, the M-by-N matrix A. */
|
|
/* > On exit, A has been destroyed. */
|
|
/* > \endverbatim */
|
|
/* > */
|
|
/* > \param[in] LDA */
|
|
/* > \verbatim */
|
|
/* > LDA is INTEGER */
|
|
/* > The leading dimension of the array A. LDA >= f2cmax(1,M). */
|
|
/* > \endverbatim */
|
|
/* > */
|
|
/* > \param[in,out] B */
|
|
/* > \verbatim */
|
|
/* > B is COMPLEX array, dimension (LDB,NRHS) */
|
|
/* > On entry, the M-by-NRHS right hand side matrix B. */
|
|
/* > On exit, B is overwritten by the N-by-NRHS solution matrix X. */
|
|
/* > If m >= n and RANK = n, the residual sum-of-squares for */
|
|
/* > the solution in the i-th column is given by the sum of */
|
|
/* > squares of the modulus of elements n+1:m in that column. */
|
|
/* > \endverbatim */
|
|
/* > */
|
|
/* > \param[in] LDB */
|
|
/* > \verbatim */
|
|
/* > LDB is INTEGER */
|
|
/* > The leading dimension of the array B. LDB >= f2cmax(1,M,N). */
|
|
/* > \endverbatim */
|
|
/* > */
|
|
/* > \param[out] S */
|
|
/* > \verbatim */
|
|
/* > S is REAL array, dimension (f2cmin(M,N)) */
|
|
/* > The singular values of A in decreasing order. */
|
|
/* > The condition number of A in the 2-norm = S(1)/S(f2cmin(m,n)). */
|
|
/* > \endverbatim */
|
|
/* > */
|
|
/* > \param[in] RCOND */
|
|
/* > \verbatim */
|
|
/* > RCOND is REAL */
|
|
/* > RCOND is used to determine the effective rank of A. */
|
|
/* > Singular values S(i) <= RCOND*S(1) are treated as zero. */
|
|
/* > If RCOND < 0, machine precision is used instead. */
|
|
/* > \endverbatim */
|
|
/* > */
|
|
/* > \param[out] RANK */
|
|
/* > \verbatim */
|
|
/* > RANK is INTEGER */
|
|
/* > The effective rank of A, i.e., the number of singular values */
|
|
/* > which are greater than RCOND*S(1). */
|
|
/* > \endverbatim */
|
|
/* > */
|
|
/* > \param[out] WORK */
|
|
/* > \verbatim */
|
|
/* > WORK is COMPLEX array, dimension (MAX(1,LWORK)) */
|
|
/* > On exit, if INFO = 0, WORK(1) returns the optimal LWORK. */
|
|
/* > \endverbatim */
|
|
/* > */
|
|
/* > \param[in] LWORK */
|
|
/* > \verbatim */
|
|
/* > LWORK is INTEGER */
|
|
/* > The dimension of the array WORK. LWORK must be at least 1. */
|
|
/* > The exact minimum amount of workspace needed depends on M, */
|
|
/* > N and NRHS. As long as LWORK is at least */
|
|
/* > 2 * N + N * NRHS */
|
|
/* > if M is greater than or equal to N or */
|
|
/* > 2 * M + M * NRHS */
|
|
/* > if M is less than N, the code will execute correctly. */
|
|
/* > For good performance, LWORK should generally be larger. */
|
|
/* > */
|
|
/* > If LWORK = -1, then a workspace query is assumed; the routine */
|
|
/* > only calculates the optimal size of the array WORK and the */
|
|
/* > minimum sizes of the arrays RWORK and IWORK, and returns */
|
|
/* > these values as the first entries of the WORK, RWORK and */
|
|
/* > IWORK arrays, and no error message related to LWORK is issued */
|
|
/* > by XERBLA. */
|
|
/* > \endverbatim */
|
|
/* > */
|
|
/* > \param[out] RWORK */
|
|
/* > \verbatim */
|
|
/* > RWORK is REAL array, dimension (MAX(1,LRWORK)) */
|
|
/* > LRWORK >= */
|
|
/* > 10*N + 2*N*SMLSIZ + 8*N*NLVL + 3*SMLSIZ*NRHS + */
|
|
/* > MAX( (SMLSIZ+1)**2, N*(1+NRHS) + 2*NRHS ) */
|
|
/* > if M is greater than or equal to N or */
|
|
/* > 10*M + 2*M*SMLSIZ + 8*M*NLVL + 3*SMLSIZ*NRHS + */
|
|
/* > MAX( (SMLSIZ+1)**2, N*(1+NRHS) + 2*NRHS ) */
|
|
/* > if M is less than N, the code will execute correctly. */
|
|
/* > SMLSIZ is returned by ILAENV and is equal to the maximum */
|
|
/* > size of the subproblems at the bottom of the computation */
|
|
/* > tree (usually about 25), and */
|
|
/* > NLVL = MAX( 0, INT( LOG_2( MIN( M,N )/(SMLSIZ+1) ) ) + 1 ) */
|
|
/* > On exit, if INFO = 0, RWORK(1) returns the minimum LRWORK. */
|
|
/* > \endverbatim */
|
|
/* > */
|
|
/* > \param[out] IWORK */
|
|
/* > \verbatim */
|
|
/* > IWORK is INTEGER array, dimension (MAX(1,LIWORK)) */
|
|
/* > LIWORK >= f2cmax(1, 3*MINMN*NLVL + 11*MINMN), */
|
|
/* > where MINMN = MIN( M,N ). */
|
|
/* > On exit, if INFO = 0, IWORK(1) returns the minimum LIWORK. */
|
|
/* > \endverbatim */
|
|
/* > */
|
|
/* > \param[out] INFO */
|
|
/* > \verbatim */
|
|
/* > INFO is INTEGER */
|
|
/* > = 0: successful exit */
|
|
/* > < 0: if INFO = -i, the i-th argument had an illegal value. */
|
|
/* > > 0: the algorithm for computing the SVD failed to converge; */
|
|
/* > if INFO = i, i off-diagonal elements of an intermediate */
|
|
/* > bidiagonal form did not converge to zero. */
|
|
/* > \endverbatim */
|
|
|
|
/* Authors: */
|
|
/* ======== */
|
|
|
|
/* > \author Univ. of Tennessee */
|
|
/* > \author Univ. of California Berkeley */
|
|
/* > \author Univ. of Colorado Denver */
|
|
/* > \author NAG Ltd. */
|
|
|
|
/* > \date December 2016 */
|
|
|
|
/* > \ingroup complexGEsolve */
|
|
|
|
/* > \par Contributors: */
|
|
/* ================== */
|
|
/* > */
|
|
/* > Ming Gu and Ren-Cang Li, Computer Science Division, University of */
|
|
/* > California at Berkeley, USA \n */
|
|
/* > Osni Marques, LBNL/NERSC, USA \n */
|
|
|
|
/* ===================================================================== */
|
|
/* Subroutine */ void cgelsd_(integer *m, integer *n, integer *nrhs, complex *
|
|
a, integer *lda, complex *b, integer *ldb, real *s, real *rcond,
|
|
integer *rank, complex *work, integer *lwork, real *rwork, integer *
|
|
iwork, integer *info)
|
|
{
|
|
/* System generated locals */
|
|
integer a_dim1, a_offset, b_dim1, b_offset, i__1, i__2, i__3, i__4;
|
|
|
|
/* Local variables */
|
|
real anrm, bnrm;
|
|
integer itau, nlvl, iascl, ibscl;
|
|
real sfmin;
|
|
integer minmn, maxmn, itaup, itauq, mnthr, nwork, ie, il;
|
|
extern /* Subroutine */ void cgebrd_(integer *, integer *, complex *,
|
|
integer *, real *, real *, complex *, complex *, complex *,
|
|
integer *, integer *), slabad_(real *, real *);
|
|
extern real clange_(char *, integer *, integer *, complex *, integer *,
|
|
real *);
|
|
integer mm;
|
|
extern /* Subroutine */ void cgelqf_(integer *, integer *, complex *,
|
|
integer *, complex *, complex *, integer *, integer *), clalsd_(
|
|
char *, integer *, integer *, integer *, real *, real *, complex *
|
|
, integer *, real *, integer *, complex *, real *, integer *,
|
|
integer *), clascl_(char *, integer *, integer *, real *,
|
|
real *, integer *, integer *, complex *, integer *, integer *), cgeqrf_(integer *, integer *, complex *, integer *,
|
|
complex *, complex *, integer *, integer *);
|
|
extern real slamch_(char *);
|
|
extern /* Subroutine */ void clacpy_(char *, integer *, integer *, complex
|
|
*, integer *, complex *, integer *), claset_(char *,
|
|
integer *, integer *, complex *, complex *, complex *, integer *);
|
|
extern int xerbla_(char *, integer *, ftnlen);
|
|
extern integer ilaenv_(integer *, char *, char *, integer *, integer *,
|
|
integer *, integer *, ftnlen, ftnlen);
|
|
real bignum;
|
|
extern /* Subroutine */ void slascl_(char *, integer *, integer *, real *,
|
|
real *, integer *, integer *, real *, integer *, integer *), cunmbr_(char *, char *, char *, integer *, integer *,
|
|
integer *, complex *, integer *, complex *, complex *, integer *,
|
|
complex *, integer *, integer *), slaset_(
|
|
char *, integer *, integer *, real *, real *, real *, integer *), cunmlq_(char *, char *, integer *, integer *, integer *,
|
|
complex *, integer *, complex *, complex *, integer *, complex *,
|
|
integer *, integer *);
|
|
integer ldwork;
|
|
extern /* Subroutine */ void cunmqr_(char *, char *, integer *, integer *,
|
|
integer *, complex *, integer *, complex *, complex *, integer *,
|
|
complex *, integer *, integer *);
|
|
integer liwork, minwrk, maxwrk;
|
|
real smlnum;
|
|
integer lrwork;
|
|
logical lquery;
|
|
integer nrwork, smlsiz;
|
|
real eps;
|
|
|
|
|
|
/* -- LAPACK driver 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 */
|
|
|
|
|
|
/* ===================================================================== */
|
|
|
|
|
|
/* Test the input arguments. */
|
|
|
|
/* Parameter adjustments */
|
|
a_dim1 = *lda;
|
|
a_offset = 1 + a_dim1 * 1;
|
|
a -= a_offset;
|
|
b_dim1 = *ldb;
|
|
b_offset = 1 + b_dim1 * 1;
|
|
b -= b_offset;
|
|
--s;
|
|
--work;
|
|
--rwork;
|
|
--iwork;
|
|
|
|
/* Function Body */
|
|
*info = 0;
|
|
minmn = f2cmin(*m,*n);
|
|
maxmn = f2cmax(*m,*n);
|
|
lquery = *lwork == -1;
|
|
if (*m < 0) {
|
|
*info = -1;
|
|
} else if (*n < 0) {
|
|
*info = -2;
|
|
} else if (*nrhs < 0) {
|
|
*info = -3;
|
|
} else if (*lda < f2cmax(1,*m)) {
|
|
*info = -5;
|
|
} else if (*ldb < f2cmax(1,maxmn)) {
|
|
*info = -7;
|
|
}
|
|
|
|
/* Compute workspace. */
|
|
/* (Note: Comments in the code beginning "Workspace:" describe the */
|
|
/* minimal amount of workspace needed at that point in the code, */
|
|
/* as well as the preferred amount for good performance. */
|
|
/* NB refers to the optimal block size for the immediately */
|
|
/* following subroutine, as returned by ILAENV.) */
|
|
|
|
if (*info == 0) {
|
|
minwrk = 1;
|
|
maxwrk = 1;
|
|
liwork = 1;
|
|
lrwork = 1;
|
|
if (minmn > 0) {
|
|
smlsiz = ilaenv_(&c__9, "CGELSD", " ", &c__0, &c__0, &c__0, &c__0,
|
|
(ftnlen)6, (ftnlen)1);
|
|
mnthr = ilaenv_(&c__6, "CGELSD", " ", m, n, nrhs, &c_n1, (ftnlen)
|
|
6, (ftnlen)1);
|
|
/* Computing MAX */
|
|
i__1 = (integer) (log((real) minmn / (real) (smlsiz + 1)) / log(
|
|
2.f)) + 1;
|
|
nlvl = f2cmax(i__1,0);
|
|
liwork = minmn * 3 * nlvl + minmn * 11;
|
|
mm = *m;
|
|
if (*m >= *n && *m >= mnthr) {
|
|
|
|
/* Path 1a - overdetermined, with many more rows than */
|
|
/* columns. */
|
|
|
|
mm = *n;
|
|
/* Computing MAX */
|
|
i__1 = maxwrk, i__2 = *n * ilaenv_(&c__1, "CGEQRF", " ", m, n,
|
|
&c_n1, &c_n1, (ftnlen)6, (ftnlen)1);
|
|
maxwrk = f2cmax(i__1,i__2);
|
|
/* Computing MAX */
|
|
i__1 = maxwrk, i__2 = *nrhs * ilaenv_(&c__1, "CUNMQR", "LC",
|
|
m, nrhs, n, &c_n1, (ftnlen)6, (ftnlen)2);
|
|
maxwrk = f2cmax(i__1,i__2);
|
|
}
|
|
if (*m >= *n) {
|
|
|
|
/* Path 1 - overdetermined or exactly determined. */
|
|
|
|
/* Computing MAX */
|
|
/* Computing 2nd power */
|
|
i__3 = smlsiz + 1;
|
|
i__1 = i__3 * i__3, i__2 = *n * (*nrhs + 1) + (*nrhs << 1);
|
|
lrwork = *n * 10 + (*n << 1) * smlsiz + (*n << 3) * nlvl +
|
|
smlsiz * 3 * *nrhs + f2cmax(i__1,i__2);
|
|
/* Computing MAX */
|
|
i__1 = maxwrk, i__2 = (*n << 1) + (mm + *n) * ilaenv_(&c__1,
|
|
"CGEBRD", " ", &mm, n, &c_n1, &c_n1, (ftnlen)6, (
|
|
ftnlen)1);
|
|
maxwrk = f2cmax(i__1,i__2);
|
|
/* Computing MAX */
|
|
i__1 = maxwrk, i__2 = (*n << 1) + *nrhs * ilaenv_(&c__1,
|
|
"CUNMBR", "QLC", &mm, nrhs, n, &c_n1, (ftnlen)6, (
|
|
ftnlen)3);
|
|
maxwrk = f2cmax(i__1,i__2);
|
|
/* Computing MAX */
|
|
i__1 = maxwrk, i__2 = (*n << 1) + (*n - 1) * ilaenv_(&c__1,
|
|
"CUNMBR", "PLN", n, nrhs, n, &c_n1, (ftnlen)6, (
|
|
ftnlen)3);
|
|
maxwrk = f2cmax(i__1,i__2);
|
|
/* Computing MAX */
|
|
i__1 = maxwrk, i__2 = (*n << 1) + *n * *nrhs;
|
|
maxwrk = f2cmax(i__1,i__2);
|
|
/* Computing MAX */
|
|
i__1 = (*n << 1) + mm, i__2 = (*n << 1) + *n * *nrhs;
|
|
minwrk = f2cmax(i__1,i__2);
|
|
}
|
|
if (*n > *m) {
|
|
/* Computing MAX */
|
|
/* Computing 2nd power */
|
|
i__3 = smlsiz + 1;
|
|
i__1 = i__3 * i__3, i__2 = *n * (*nrhs + 1) + (*nrhs << 1);
|
|
lrwork = *m * 10 + (*m << 1) * smlsiz + (*m << 3) * nlvl +
|
|
smlsiz * 3 * *nrhs + f2cmax(i__1,i__2);
|
|
if (*n >= mnthr) {
|
|
|
|
/* Path 2a - underdetermined, with many more columns */
|
|
/* than rows. */
|
|
|
|
maxwrk = *m + *m * ilaenv_(&c__1, "CGELQF", " ", m, n, &
|
|
c_n1, &c_n1, (ftnlen)6, (ftnlen)1);
|
|
/* Computing MAX */
|
|
i__1 = maxwrk, i__2 = *m * *m + (*m << 2) + (*m << 1) *
|
|
ilaenv_(&c__1, "CGEBRD", " ", m, m, &c_n1, &c_n1,
|
|
(ftnlen)6, (ftnlen)1);
|
|
maxwrk = f2cmax(i__1,i__2);
|
|
/* Computing MAX */
|
|
i__1 = maxwrk, i__2 = *m * *m + (*m << 2) + *nrhs *
|
|
ilaenv_(&c__1, "CUNMBR", "QLC", m, nrhs, m, &c_n1,
|
|
(ftnlen)6, (ftnlen)3);
|
|
maxwrk = f2cmax(i__1,i__2);
|
|
/* Computing MAX */
|
|
i__1 = maxwrk, i__2 = *m * *m + (*m << 2) + (*m - 1) *
|
|
ilaenv_(&c__1, "CUNMLQ", "LC", n, nrhs, m, &c_n1,
|
|
(ftnlen)6, (ftnlen)2);
|
|
maxwrk = f2cmax(i__1,i__2);
|
|
if (*nrhs > 1) {
|
|
/* Computing MAX */
|
|
i__1 = maxwrk, i__2 = *m * *m + *m + *m * *nrhs;
|
|
maxwrk = f2cmax(i__1,i__2);
|
|
} else {
|
|
/* Computing MAX */
|
|
i__1 = maxwrk, i__2 = *m * *m + (*m << 1);
|
|
maxwrk = f2cmax(i__1,i__2);
|
|
}
|
|
/* Computing MAX */
|
|
i__1 = maxwrk, i__2 = *m * *m + (*m << 2) + *m * *nrhs;
|
|
maxwrk = f2cmax(i__1,i__2);
|
|
/* XXX: Ensure the Path 2a case below is triggered. The workspace */
|
|
/* calculation should use queries for all routines eventually. */
|
|
/* Computing MAX */
|
|
/* Computing MAX */
|
|
i__3 = *m, i__4 = (*m << 1) - 4, i__3 = f2cmax(i__3,i__4),
|
|
i__3 = f2cmax(i__3,*nrhs), i__4 = *n - *m * 3;
|
|
i__1 = maxwrk, i__2 = (*m << 2) + *m * *m + f2cmax(i__3,i__4)
|
|
;
|
|
maxwrk = f2cmax(i__1,i__2);
|
|
} else {
|
|
|
|
/* Path 2 - underdetermined. */
|
|
|
|
maxwrk = (*m << 1) + (*n + *m) * ilaenv_(&c__1, "CGEBRD",
|
|
" ", m, n, &c_n1, &c_n1, (ftnlen)6, (ftnlen)1);
|
|
/* Computing MAX */
|
|
i__1 = maxwrk, i__2 = (*m << 1) + *nrhs * ilaenv_(&c__1,
|
|
"CUNMBR", "QLC", m, nrhs, m, &c_n1, (ftnlen)6, (
|
|
ftnlen)3);
|
|
maxwrk = f2cmax(i__1,i__2);
|
|
/* Computing MAX */
|
|
i__1 = maxwrk, i__2 = (*m << 1) + *m * ilaenv_(&c__1,
|
|
"CUNMBR", "PLN", n, nrhs, m, &c_n1, (ftnlen)6, (
|
|
ftnlen)3);
|
|
maxwrk = f2cmax(i__1,i__2);
|
|
/* Computing MAX */
|
|
i__1 = maxwrk, i__2 = (*m << 1) + *m * *nrhs;
|
|
maxwrk = f2cmax(i__1,i__2);
|
|
}
|
|
/* Computing MAX */
|
|
i__1 = (*m << 1) + *n, i__2 = (*m << 1) + *m * *nrhs;
|
|
minwrk = f2cmax(i__1,i__2);
|
|
}
|
|
}
|
|
minwrk = f2cmin(minwrk,maxwrk);
|
|
work[1].r = (real) maxwrk, work[1].i = 0.f;
|
|
iwork[1] = liwork;
|
|
rwork[1] = (real) lrwork;
|
|
|
|
if (*lwork < minwrk && ! lquery) {
|
|
*info = -12;
|
|
}
|
|
}
|
|
|
|
if (*info != 0) {
|
|
i__1 = -(*info);
|
|
xerbla_("CGELSD", &i__1, (ftnlen)6);
|
|
return;
|
|
} else if (lquery) {
|
|
return;
|
|
}
|
|
|
|
/* Quick return if possible. */
|
|
|
|
if (*m == 0 || *n == 0) {
|
|
*rank = 0;
|
|
return;
|
|
}
|
|
|
|
/* Get machine parameters. */
|
|
|
|
eps = slamch_("P");
|
|
sfmin = slamch_("S");
|
|
smlnum = sfmin / eps;
|
|
bignum = 1.f / smlnum;
|
|
slabad_(&smlnum, &bignum);
|
|
|
|
/* Scale A if f2cmax entry outside range [SMLNUM,BIGNUM]. */
|
|
|
|
anrm = clange_("M", m, n, &a[a_offset], lda, &rwork[1]);
|
|
iascl = 0;
|
|
if (anrm > 0.f && anrm < smlnum) {
|
|
|
|
/* Scale matrix norm up to SMLNUM */
|
|
|
|
clascl_("G", &c__0, &c__0, &anrm, &smlnum, m, n, &a[a_offset], lda,
|
|
info);
|
|
iascl = 1;
|
|
} else if (anrm > bignum) {
|
|
|
|
/* Scale matrix norm down to BIGNUM. */
|
|
|
|
clascl_("G", &c__0, &c__0, &anrm, &bignum, m, n, &a[a_offset], lda,
|
|
info);
|
|
iascl = 2;
|
|
} else if (anrm == 0.f) {
|
|
|
|
/* Matrix all zero. Return zero solution. */
|
|
|
|
i__1 = f2cmax(*m,*n);
|
|
claset_("F", &i__1, nrhs, &c_b1, &c_b1, &b[b_offset], ldb);
|
|
slaset_("F", &minmn, &c__1, &c_b80, &c_b80, &s[1], &c__1);
|
|
*rank = 0;
|
|
goto L10;
|
|
}
|
|
|
|
/* Scale B if f2cmax entry outside range [SMLNUM,BIGNUM]. */
|
|
|
|
bnrm = clange_("M", m, nrhs, &b[b_offset], ldb, &rwork[1]);
|
|
ibscl = 0;
|
|
if (bnrm > 0.f && bnrm < smlnum) {
|
|
|
|
/* Scale matrix norm up to SMLNUM. */
|
|
|
|
clascl_("G", &c__0, &c__0, &bnrm, &smlnum, m, nrhs, &b[b_offset], ldb,
|
|
info);
|
|
ibscl = 1;
|
|
} else if (bnrm > bignum) {
|
|
|
|
/* Scale matrix norm down to BIGNUM. */
|
|
|
|
clascl_("G", &c__0, &c__0, &bnrm, &bignum, m, nrhs, &b[b_offset], ldb,
|
|
info);
|
|
ibscl = 2;
|
|
}
|
|
|
|
/* If M < N make sure B(M+1:N,:) = 0 */
|
|
|
|
if (*m < *n) {
|
|
i__1 = *n - *m;
|
|
claset_("F", &i__1, nrhs, &c_b1, &c_b1, &b[*m + 1 + b_dim1], ldb);
|
|
}
|
|
|
|
/* Overdetermined case. */
|
|
|
|
if (*m >= *n) {
|
|
|
|
/* Path 1 - overdetermined or exactly determined. */
|
|
|
|
mm = *m;
|
|
if (*m >= mnthr) {
|
|
|
|
/* Path 1a - overdetermined, with many more rows than columns */
|
|
|
|
mm = *n;
|
|
itau = 1;
|
|
nwork = itau + *n;
|
|
|
|
/* Compute A=Q*R. */
|
|
/* (RWorkspace: need N) */
|
|
/* (CWorkspace: need N, prefer N*NB) */
|
|
|
|
i__1 = *lwork - nwork + 1;
|
|
cgeqrf_(m, n, &a[a_offset], lda, &work[itau], &work[nwork], &i__1,
|
|
info);
|
|
|
|
/* Multiply B by transpose(Q). */
|
|
/* (RWorkspace: need N) */
|
|
/* (CWorkspace: need NRHS, prefer NRHS*NB) */
|
|
|
|
i__1 = *lwork - nwork + 1;
|
|
cunmqr_("L", "C", m, nrhs, n, &a[a_offset], lda, &work[itau], &b[
|
|
b_offset], ldb, &work[nwork], &i__1, info);
|
|
|
|
/* Zero out below R. */
|
|
|
|
if (*n > 1) {
|
|
i__1 = *n - 1;
|
|
i__2 = *n - 1;
|
|
claset_("L", &i__1, &i__2, &c_b1, &c_b1, &a[a_dim1 + 2], lda);
|
|
}
|
|
}
|
|
|
|
itauq = 1;
|
|
itaup = itauq + *n;
|
|
nwork = itaup + *n;
|
|
ie = 1;
|
|
nrwork = ie + *n;
|
|
|
|
/* Bidiagonalize R in A. */
|
|
/* (RWorkspace: need N) */
|
|
/* (CWorkspace: need 2*N+MM, prefer 2*N+(MM+N)*NB) */
|
|
|
|
i__1 = *lwork - nwork + 1;
|
|
cgebrd_(&mm, n, &a[a_offset], lda, &s[1], &rwork[ie], &work[itauq], &
|
|
work[itaup], &work[nwork], &i__1, info);
|
|
|
|
/* Multiply B by transpose of left bidiagonalizing vectors of R. */
|
|
/* (CWorkspace: need 2*N+NRHS, prefer 2*N+NRHS*NB) */
|
|
|
|
i__1 = *lwork - nwork + 1;
|
|
cunmbr_("Q", "L", "C", &mm, nrhs, n, &a[a_offset], lda, &work[itauq],
|
|
&b[b_offset], ldb, &work[nwork], &i__1, info);
|
|
|
|
/* Solve the bidiagonal least squares problem. */
|
|
|
|
clalsd_("U", &smlsiz, n, nrhs, &s[1], &rwork[ie], &b[b_offset], ldb,
|
|
rcond, rank, &work[nwork], &rwork[nrwork], &iwork[1], info);
|
|
if (*info != 0) {
|
|
goto L10;
|
|
}
|
|
|
|
/* Multiply B by right bidiagonalizing vectors of R. */
|
|
|
|
i__1 = *lwork - nwork + 1;
|
|
cunmbr_("P", "L", "N", n, nrhs, n, &a[a_offset], lda, &work[itaup], &
|
|
b[b_offset], ldb, &work[nwork], &i__1, info);
|
|
|
|
} else /* if(complicated condition) */ {
|
|
/* Computing MAX */
|
|
i__1 = *m, i__2 = (*m << 1) - 4, i__1 = f2cmax(i__1,i__2), i__1 = f2cmax(
|
|
i__1,*nrhs), i__2 = *n - *m * 3;
|
|
if (*n >= mnthr && *lwork >= (*m << 2) + *m * *m + f2cmax(i__1,i__2)) {
|
|
|
|
/* Path 2a - underdetermined, with many more columns than rows */
|
|
/* and sufficient workspace for an efficient algorithm. */
|
|
|
|
ldwork = *m;
|
|
/* Computing MAX */
|
|
/* Computing MAX */
|
|
i__3 = *m, i__4 = (*m << 1) - 4, i__3 = f2cmax(i__3,i__4), i__3 =
|
|
f2cmax(i__3,*nrhs), i__4 = *n - *m * 3;
|
|
i__1 = (*m << 2) + *m * *lda + f2cmax(i__3,i__4), i__2 = *m * *lda +
|
|
*m + *m * *nrhs;
|
|
if (*lwork >= f2cmax(i__1,i__2)) {
|
|
ldwork = *lda;
|
|
}
|
|
itau = 1;
|
|
nwork = *m + 1;
|
|
|
|
/* Compute A=L*Q. */
|
|
/* (CWorkspace: need 2*M, prefer M+M*NB) */
|
|
|
|
i__1 = *lwork - nwork + 1;
|
|
cgelqf_(m, n, &a[a_offset], lda, &work[itau], &work[nwork], &i__1,
|
|
info);
|
|
il = nwork;
|
|
|
|
/* Copy L to WORK(IL), zeroing out above its diagonal. */
|
|
|
|
clacpy_("L", m, m, &a[a_offset], lda, &work[il], &ldwork);
|
|
i__1 = *m - 1;
|
|
i__2 = *m - 1;
|
|
claset_("U", &i__1, &i__2, &c_b1, &c_b1, &work[il + ldwork], &
|
|
ldwork);
|
|
itauq = il + ldwork * *m;
|
|
itaup = itauq + *m;
|
|
nwork = itaup + *m;
|
|
ie = 1;
|
|
nrwork = ie + *m;
|
|
|
|
/* Bidiagonalize L in WORK(IL). */
|
|
/* (RWorkspace: need M) */
|
|
/* (CWorkspace: need M*M+4*M, prefer M*M+4*M+2*M*NB) */
|
|
|
|
i__1 = *lwork - nwork + 1;
|
|
cgebrd_(m, m, &work[il], &ldwork, &s[1], &rwork[ie], &work[itauq],
|
|
&work[itaup], &work[nwork], &i__1, info);
|
|
|
|
/* Multiply B by transpose of left bidiagonalizing vectors of L. */
|
|
/* (CWorkspace: need M*M+4*M+NRHS, prefer M*M+4*M+NRHS*NB) */
|
|
|
|
i__1 = *lwork - nwork + 1;
|
|
cunmbr_("Q", "L", "C", m, nrhs, m, &work[il], &ldwork, &work[
|
|
itauq], &b[b_offset], ldb, &work[nwork], &i__1, info);
|
|
|
|
/* Solve the bidiagonal least squares problem. */
|
|
|
|
clalsd_("U", &smlsiz, m, nrhs, &s[1], &rwork[ie], &b[b_offset],
|
|
ldb, rcond, rank, &work[nwork], &rwork[nrwork], &iwork[1],
|
|
info);
|
|
if (*info != 0) {
|
|
goto L10;
|
|
}
|
|
|
|
/* Multiply B by right bidiagonalizing vectors of L. */
|
|
|
|
i__1 = *lwork - nwork + 1;
|
|
cunmbr_("P", "L", "N", m, nrhs, m, &work[il], &ldwork, &work[
|
|
itaup], &b[b_offset], ldb, &work[nwork], &i__1, info);
|
|
|
|
/* Zero out below first M rows of B. */
|
|
|
|
i__1 = *n - *m;
|
|
claset_("F", &i__1, nrhs, &c_b1, &c_b1, &b[*m + 1 + b_dim1], ldb);
|
|
nwork = itau + *m;
|
|
|
|
/* Multiply transpose(Q) by B. */
|
|
/* (CWorkspace: need NRHS, prefer NRHS*NB) */
|
|
|
|
i__1 = *lwork - nwork + 1;
|
|
cunmlq_("L", "C", n, nrhs, m, &a[a_offset], lda, &work[itau], &b[
|
|
b_offset], ldb, &work[nwork], &i__1, info);
|
|
|
|
} else {
|
|
|
|
/* Path 2 - remaining underdetermined cases. */
|
|
|
|
itauq = 1;
|
|
itaup = itauq + *m;
|
|
nwork = itaup + *m;
|
|
ie = 1;
|
|
nrwork = ie + *m;
|
|
|
|
/* Bidiagonalize A. */
|
|
/* (RWorkspace: need M) */
|
|
/* (CWorkspace: need 2*M+N, prefer 2*M+(M+N)*NB) */
|
|
|
|
i__1 = *lwork - nwork + 1;
|
|
cgebrd_(m, n, &a[a_offset], lda, &s[1], &rwork[ie], &work[itauq],
|
|
&work[itaup], &work[nwork], &i__1, info);
|
|
|
|
/* Multiply B by transpose of left bidiagonalizing vectors. */
|
|
/* (CWorkspace: need 2*M+NRHS, prefer 2*M+NRHS*NB) */
|
|
|
|
i__1 = *lwork - nwork + 1;
|
|
cunmbr_("Q", "L", "C", m, nrhs, n, &a[a_offset], lda, &work[itauq]
|
|
, &b[b_offset], ldb, &work[nwork], &i__1, info);
|
|
|
|
/* Solve the bidiagonal least squares problem. */
|
|
|
|
clalsd_("L", &smlsiz, m, nrhs, &s[1], &rwork[ie], &b[b_offset],
|
|
ldb, rcond, rank, &work[nwork], &rwork[nrwork], &iwork[1],
|
|
info);
|
|
if (*info != 0) {
|
|
goto L10;
|
|
}
|
|
|
|
/* Multiply B by right bidiagonalizing vectors of A. */
|
|
|
|
i__1 = *lwork - nwork + 1;
|
|
cunmbr_("P", "L", "N", n, nrhs, m, &a[a_offset], lda, &work[itaup]
|
|
, &b[b_offset], ldb, &work[nwork], &i__1, info);
|
|
|
|
}
|
|
}
|
|
|
|
/* Undo scaling. */
|
|
|
|
if (iascl == 1) {
|
|
clascl_("G", &c__0, &c__0, &anrm, &smlnum, n, nrhs, &b[b_offset], ldb,
|
|
info);
|
|
slascl_("G", &c__0, &c__0, &smlnum, &anrm, &minmn, &c__1, &s[1], &
|
|
minmn, info);
|
|
} else if (iascl == 2) {
|
|
clascl_("G", &c__0, &c__0, &anrm, &bignum, n, nrhs, &b[b_offset], ldb,
|
|
info);
|
|
slascl_("G", &c__0, &c__0, &bignum, &anrm, &minmn, &c__1, &s[1], &
|
|
minmn, info);
|
|
}
|
|
if (ibscl == 1) {
|
|
clascl_("G", &c__0, &c__0, &smlnum, &bnrm, n, nrhs, &b[b_offset], ldb,
|
|
info);
|
|
} else if (ibscl == 2) {
|
|
clascl_("G", &c__0, &c__0, &bignum, &bnrm, n, nrhs, &b[b_offset], ldb,
|
|
info);
|
|
}
|
|
|
|
L10:
|
|
work[1].r = (real) maxwrk, work[1].i = 0.f;
|
|
iwork[1] = liwork;
|
|
rwork[1] = (real) lrwork;
|
|
return;
|
|
|
|
/* End of CGELSD */
|
|
|
|
} /* cgelsd_ */
|
|
|