c
c dqrfit is a subroutine to compute least squares solutions
c to the system
c
c (1) x * b = y
c
c which may be either under-determined or over-determined.
c the user must supply a tolerance to limit the columns of
c x used in computing the solution. in effect, a set of
c columns with a condition number approximately bounded by
c 1/tol is used, the other components of b being set to zero.
c
c on entry
c
c x double precision(n,p).
c x contains n-by-p coefficient matrix of
c the system (1), x is destroyed by dqrfit.
c
c n the number of rows of the matrix x.
c
c p the number of columns of the matrix x.
c
c y double precision(n,ny)
c y contains the right hand side(s) of the system (1).
c
c ny the number of right hand sides of the system (1).
c
c tol double precision
c tol is the nonnegative tolerance used to
c determine the subset of columns of x included
c in the solution. columns are pivoted out of
c decomposition if
c
c jpvt integer(p)
c the values in jpvt are permuted in the same
c way as the columns of x. this can be useful
c in unscrambling coefficients etc.
c
c work double precision(2*p)
c work is an array used by dqrdc2 and dqrsl.
c
c on return
c
c x contains the output array from dqrdc2.
c namely the qr decomposition of x stored in
c compact form.
c
c b double precision(p,ny)
c b contains the solution vectors with rows permuted
c in the same way as the columns of x. components
c corresponding to columns not used are set to zero.
c
c rsd double precision(n,ny)
c rsd contains the residual vectors y-x*b.
c
c qty double precision(n,ny) t
c qty contains the vectors q y. note that
c the initial p elements of this vector are
c permuted in the same way as the columns of x.
c
c k integer
c k contains the number of columns used in the
c solution.
c
c jpvt has its contents permuted as described above.
c
c qraux double precision(p)
c qraux contains auxiliary information on the
c qr decomposition of x.
c
c
c on return the arrays x, jpvt and qraux contain the
c usual output from dqrdc, so that the qr decomposition
c of x with pivoting is fully available to the user.
c in particular, columns jpvt(1), jpvt(2),...,jpvt(k)
c were used in the solution, and the condition number
c associated with those columns is estimated by
c abs(x(1,1)/x(k,k)).
c
c dqrfit uses the linpack routines dqrdc and dqrsl.
c
subroutine dqrls(x,n,p,y,ny,tol,b,rsd,qty,k,jpvt,qraux,work)
integer n,p,ny,k,jpvt(p)
double precision x(n,p),y(n,ny),tol,b(p,ny),rsd(n,ny),
. qty(n,ny),qraux(p),work(p)
c
c internal variables.
c
integer info,j,jj,kk
c
c reduce x.
c
call dqrdc2(x,n,n,p,tol,k,qraux,jpvt,work)
c
c solve the truncated least squares problem for each rhs.
c
if(k .gt. 0) then
do 20 jj=1,ny
call dqrsl(x,n,n,k,qraux,y(1,jj),rsd(1,jj),qty(1,jj),
1 b(1,jj),rsd(1,jj),rsd(1,jj),1110,info)
20 continue
else
do 35 i=1,n
do 30 jj=1,ny
rsd(i,jj) = y(i,jj)
30 continue
35 continue
endif
c
c set the unused components of b to zero.
c
kk = k + 1
do 50 j=kk,p
do 40 jj=1,ny
b(j,jj) = 0.d0
40 continue
50 continue
return
end