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htridi.f
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1996-09-28
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subroutine htridi(nm,n,ar,ai,d,e,e2,tau)
c
integer i,j,k,l,n,ii,nm,jp1
double precision ar(nm,n),ai(nm,n),d(n),e(n),e2(n),tau(2,n)
double precision f,g,h,fi,gi,hh,si,scale,pythag
c
c this subroutine is a translation of a complex analogue of
c the algol procedure tred1, num. math. 11, 181-195(1968)
c by martin, reinsch, and wilkinson.
c handbook for auto. comp., vol.ii-linear algebra, 212-226(1971).
c
c this subroutine reduces a complex hermitian matrix
c to a real symmetric tridiagonal matrix using
c unitary similarity transformations.
c
c on input
c
c nm must be set to the row dimension of two-dimensional
c array parameters as declared in the calling program
c dimension statement.
c
c n is the order of the matrix.
c
c ar and ai contain the real and imaginary parts,
c respectively, of the complex hermitian input matrix.
c only the lower triangle of the matrix need be supplied.
c
c on output
c
c ar and ai contain information about the unitary trans-
c formations used in the reduction in their full lower
c triangles. their strict upper triangles and the
c diagonal of ar are unaltered.
c
c d contains the diagonal elements of the the tridiagonal matrix.
c
c e contains the subdiagonal elements of the tridiagonal
c matrix in its last n-1 positions. e(1) is set to zero.
c
c e2 contains the squares of the corresponding elements of e.
c e2 may coincide with e if the squares are not needed.
c
c tau contains further information about the transformations.
c
c calls pythag for dsqrt(a*a + b*b) .
c
c questions and comments should be directed to burton s. garbow,
c mathematics and computer science div, argonne national laboratory
c
c this version dated august 1983.
c
c ------------------------------------------------------------------
c
tau(1,n) = 1.0d0
tau(2,n) = 0.0d0
c
do 100 i = 1, n
100 d(i) = ar(i,i)
c .......... for i=n step -1 until 1 do -- ..........
do 300 ii = 1, n
i = n + 1 - ii
l = i - 1
h = 0.0d0
scale = 0.0d0
if (l .lt. 1) go to 130
c .......... scale row (algol tol then not needed) ..........
do 120 k = 1, l
120 scale = scale + dabs(ar(i,k)) + dabs(ai(i,k))
c
if (scale .ne. 0.0d0) go to 140
tau(1,l) = 1.0d0
tau(2,l) = 0.0d0
130 e(i) = 0.0d0
e2(i) = 0.0d0
go to 290
c
140 do 150 k = 1, l
ar(i,k) = ar(i,k) / scale
ai(i,k) = ai(i,k) / scale
h = h + ar(i,k) * ar(i,k) + ai(i,k) * ai(i,k)
150 continue
c
e2(i) = scale * scale * h
g = dsqrt(h)
e(i) = scale * g
f = pythag(ar(i,l),ai(i,l))
c .......... form next diagonal element of matrix t ..........
if (f .eq. 0.0d0) go to 160
tau(1,l) = (ai(i,l) * tau(2,i) - ar(i,l) * tau(1,i)) / f
si = (ar(i,l) * tau(2,i) + ai(i,l) * tau(1,i)) / f
h = h + f * g
g = 1.0d0 + g / f
ar(i,l) = g * ar(i,l)
ai(i,l) = g * ai(i,l)
if (l .eq. 1) go to 270
go to 170
160 tau(1,l) = -tau(1,i)
si = tau(2,i)
ar(i,l) = g
170 f = 0.0d0
c
do 240 j = 1, l
g = 0.0d0
gi = 0.0d0
c .......... form element of a*u ..........
do 180 k = 1, j
g = g + ar(j,k) * ar(i,k) + ai(j,k) * ai(i,k)
gi = gi - ar(j,k) * ai(i,k) + ai(j,k) * ar(i,k)
180 continue
c
jp1 = j + 1
if (l .lt. jp1) go to 220
c
do 200 k = jp1, l
g = g + ar(k,j) * ar(i,k) - ai(k,j) * ai(i,k)
gi = gi - ar(k,j) * ai(i,k) - ai(k,j) * ar(i,k)
200 continue
c .......... form element of p ..........
220 e(j) = g / h
tau(2,j) = gi / h
f = f + e(j) * ar(i,j) - tau(2,j) * ai(i,j)
240 continue
c
hh = f / (h + h)
c .......... form reduced a ..........
do 260 j = 1, l
f = ar(i,j)
g = e(j) - hh * f
e(j) = g
fi = -ai(i,j)
gi = tau(2,j) - hh * fi
tau(2,j) = -gi
c
do 260 k = 1, j
ar(j,k) = ar(j,k) - f * e(k) - g * ar(i,k)
x + fi * tau(2,k) + gi * ai(i,k)
ai(j,k) = ai(j,k) - f * tau(2,k) - g * ai(i,k)
x - fi * e(k) - gi * ar(i,k)
260 continue
c
270 do 280 k = 1, l
ar(i,k) = scale * ar(i,k)
ai(i,k) = scale * ai(i,k)
280 continue
c
tau(2,l) = -si
290 hh = d(i)
d(i) = ar(i,i)
ar(i,i) = hh
ai(i,i) = scale * dsqrt(h)
300 continue
c
return
end