c
c Copyright (C) 2002 Vanderbilt group
c This file is distributed under the terms of the GNU General Public
c License as described in the file 'License' in the current directory.
c

* ======================================================================
* NIST Guide to Available Math Software.
* Fullsource for module RSG from package EISPACK.
* Retrieved from NETLIB on Fri Jun 21 11:57:40 1996.
* ======================================================================
      subroutine rsg(nm,n,a,b,w,matz,z,fv1,fv2,ierr)
c
      integer n,nm,ierr,matz
      double precision a(nm,n),b(nm,n),w(n),z(nm,n),fv1(n),fv2(n)
c
c     this subroutine calls the recommended sequence of
c     subroutines from the eigensystem subroutine package (eispack)
c     to find the eigenvalues and eigenvectors (if desired)
c     for the real symmetric generalized eigenproblem  ax = (lambda)bx.
c
c     on input
c
c        nm  must be set to the row dimension of the two-dimensional
c        array parameters as declared in the calling program
c        dimension statement.
c
c        n  is the order of the matrices  a  and  b.
c
c        a  contains a real symmetric matrix.
c
c        b  contains a positive definite real symmetric matrix.
c
c        matz  is an integer variable set equal to zero if
c        only eigenvalues are desired.  otherwise it is set to
c        any non-zero integer for both eigenvalues and eigenvectors.
c
c     on output
c
c        w  contains the eigenvalues in ascending order.
c
c        z  contains the eigenvectors if matz is not zero.
c
c        ierr  is an integer output variable set equal to an error
c           completion code described in the documentation for tqlrat
c           and tql2.  the normal completion code is zero.
c
c        fv1  and  fv2  are temporary storage arrays.
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
      if (n .le. nm) go to 10
      ierr = 10 * n
      go to 50
c
   10 call  reduc(nm,n,a,b,fv2,ierr)
      if (ierr .ne. 0) go to 50
      if (matz .ne. 0) go to 20
c     .......... find eigenvalues only ..........
      call  tred1(nm,n,a,w,fv1,fv2)
      call  tqlrat(n,w,fv2,ierr)
      go to 50
c     .......... find both eigenvalues and eigenvectors ..........
   20 call  tred2(nm,n,a,w,fv1,z)
      call  tql2(nm,n,w,fv1,z,ierr)
      if (ierr .ne. 0) go to 50
      call  rebak(nm,n,b,fv2,n,z)
   50 return
      end
      double precision function epslon (x)
      double precision x
c
c     estimate unit roundoff in quantities of size x.
c
      double precision a,b,c,eps
c
c     this program should function properly on all systems
c     satisfying the following two assumptions,
c        1.  the base used in representing floating point
c            numbers is not a power of three.
c        2.  the quantity  a  in statement 10 is represented to
c            the accuracy used in floating point variables
c            that are stored in memory.
c     the statement number 10 and the go to 10 are intended to
c     force optimizing compilers to generate code satisfying
c     assumption 2.
c     under these assumptions, it should be true that,
c            a  is not exactly equal to four-thirds,
c            b  has a zero for its last bit or digit,
c            c  is not exactly equal to one,
c            eps  measures the separation of 1.0 from
c                 the next larger floating point number.
c     the developers of eispack would appreciate being informed
c     about any systems where these assumptions do not hold.
c
c     this version dated 4/6/83.
c
      a = 4.0d0/3.0d0
   10 b = a - 1.0d0
      c = b + b + b
      eps = dabs(c-1.0d0)
      if (eps .eq. 0.0d0) go to 10
      epslon = eps*dabs(x)
      return
      end
      subroutine tqlrat(n,d,e2,ierr)
c
      integer i,j,l,m,n,ii,l1,mml,ierr
      double precision d(n),e2(n)
      double precision b,c,f,g,h,p,r,s,t,epslon,pythag
c
c     this subroutine is a translation of the algol procedure tqlrat,
c     algorithm 464, comm. acm 16, 689(1973) by reinsch.
c
c     this subroutine finds the eigenvalues of a symmetric
c     tridiagonal matrix by the rational ql method.
c
c     on input
c
c        n is the order of the matrix.
c
c        d contains the diagonal elements of the input matrix.
c
c        e2 contains the squares of the subdiagonal elements of the
c          input matrix in its last n-1 positions.  e2(1) is arbitrary.
c
c      on output
c
c        d contains the eigenvalues in ascending order.  if an
c          error exit is made, the eigenvalues are correct and
c          ordered for indices 1,2,...ierr-1, but may not be
c          the smallest eigenvalues.
c
c        e2 has been destroyed.
c
c        ierr is set to
c          zero       for normal return,
c          j          if the j-th eigenvalue has not been
c                     determined after 30 iterations.
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
      ierr = 0
      if (n .eq. 1) go to 1001
c
      do 100 i = 2, n
  100 e2(i-1) = e2(i)
c
      f = 0.0d0
      t = 0.0d0
      e2(n) = 0.0d0
c
      do 290 l = 1, n
         j = 0
         h = dabs(d(l)) + dsqrt(e2(l))
         if (t .gt. h) go to 105
         t = h
         b = epslon(t)
         c = b * b
c     .......... look for small squared sub-diagonal element ..........
  105    do 110 m = l, n
            if (e2(m) .le. c) go to 120
c     .......... e2(n) is always zero, so there is no exit
c                through the bottom of the loop ..........
  110    continue
c
  120    if (m .eq. l) go to 210
  130    if (j .eq. 30) go to 1000
         j = j + 1
c     .......... form shift ..........
         l1 = l + 1
         s = dsqrt(e2(l))
         g = d(l)
         p = (d(l1) - g) / (2.0d0 * s)
         r = pythag(p,1.0d0)
         d(l) = s / (p + dsign(r,p))
         h = g - d(l)
c
         do 140 i = l1, n
  140    d(i) = d(i) - h
c
         f = f + h
c     .......... rational ql transformation ..........
         g = d(m)
         if (g .eq. 0.0d0) g = b
         h = g
         s = 0.0d0
         mml = m - l
c     .......... for i=m-1 step -1 until l do -- ..........
         do 200 ii = 1, mml
            i = m - ii
            p = g * h
            r = p + e2(i)
            e2(i+1) = s * r
            s = e2(i) / r
            d(i+1) = h + s * (h + d(i))
            g = d(i) - e2(i) / g
            if (g .eq. 0.0d0) g = b
            h = g * p / r
  200    continue
c
         e2(l) = s * g
         d(l) = h
c     .......... guard against underflow in convergence test ..........
         if (h .eq. 0.0d0) go to 210
         if (dabs(e2(l)) .le. dabs(c/h)) go to 210
         e2(l) = h * e2(l)
         if (e2(l) .ne. 0.0d0) go to 130
  210    p = d(l) + f
c     .......... order eigenvalues ..........
         if (l .eq. 1) go to 250
c     .......... for i=l step -1 until 2 do -- ..........
         do 230 ii = 2, l
            i = l + 2 - ii
            if (p .ge. d(i-1)) go to 270
            d(i) = d(i-1)
  230    continue
c
  250    i = 1
  270    d(i) = p
  290 continue
c
      go to 1001
c     .......... set error -- no convergence to an
c                eigenvalue after 30 iterations ..........
 1000 ierr = l
 1001 return
      end
      double precision function pythag(a,b)
      double precision a,b
c
c     finds dsqrt(a**2+b**2) without overflow or destructive underflow
c
      double precision p,r,s,t,u
      p = dmax1(dabs(a),dabs(b))
      if (p .eq. 0.0d0) go to 20
      r = (dmin1(dabs(a),dabs(b))/p)**2
   10 continue
         t = 4.0d0 + r
         if (t .eq. 4.0d0) go to 20
         s = r/t
         u = 1.0d0 + 2.0d0*s
         p = u*p
         r = (s/u)**2 * r
      go to 10
   20 pythag = p
      return
      end
      subroutine rebak(nm,n,b,dl,m,z)
c
      integer i,j,k,m,n,i1,ii,nm
      double precision b(nm,n),dl(n),z(nm,m)
      double precision x
c
c     this subroutine is a translation of the algol procedure rebaka,
c     num. math. 11, 99-110(1968) by martin and wilkinson.
c     handbook for auto. comp., vol.ii-linear algebra, 303-314(1971).
c
c     this subroutine forms the eigenvectors of a generalized
c     symmetric eigensystem by back transforming those of the
c     derived symmetric matrix determined by  reduc.
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 system.
c
c        b contains information about the similarity transformation
c          (cholesky decomposition) used in the reduction by  reduc
c          in its strict lower triangle.
c
c        dl contains further information about the transformation.
c
c        m is the number of eigenvectors to be back transformed.
c
c        z contains the eigenvectors to be back transformed
c          in its first m columns.
c
c     on output
c
c        z contains the transformed eigenvectors
c          in its first m columns.
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
      if (m .eq. 0) go to 200
c
      do 100 j = 1, m
c     .......... for i=n step -1 until 1 do -- ..........
         do 100 ii = 1, n
            i = n + 1 - ii
            i1 = i + 1
            x = z(i,j)
            if (i .eq. n) go to 80
c
            do 60 k = i1, n
   60       x = x - b(k,i) * z(k,j)
c
   80       z(i,j) = x / dl(i)
  100 continue
c
  200 return
      end
      subroutine reduc(nm,n,a,b,dl,ierr)
c
      integer i,j,k,n,i1,j1,nm,nn,ierr
      double precision a(nm,n),b(nm,n),dl(n)
      double precision x,y
c
c     this subroutine is a translation of the algol procedure reduc1,
c     num. math. 11, 99-110(1968) by martin and wilkinson.
c     handbook for auto. comp., vol.ii-linear algebra, 303-314(1971).
c
c     this subroutine reduces the generalized symmetric eigenproblem
c     ax=(lambda)bx, where b is positive definite, to the standard
c     symmetric eigenproblem using the cholesky factorization of b.
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 matrices a and b.  if the cholesky
c          factor l of b is already available, n should be prefixed
c          with a minus sign.
c
c        a and b contain the real symmetric input matrices.  only the
c          full upper triangles of the matrices need be supplied.  if
c          n is negative, the strict lower triangle of b contains,
c          instead, the strict lower triangle of its cholesky factor l.
c
c        dl contains, if n is negative, the diagonal elements of l.
c
c     on output
c
c        a contains in its full lower triangle the full lower triangle
c          of the symmetric matrix derived from the reduction to the
c          standard form.  the strict upper triangle of a is unaltered.
c
c        b contains in its strict lower triangle the strict lower
c          triangle of its cholesky factor l.  the full upper
c          triangle of b is unaltered.
c
c        dl contains the diagonal elements of l.
c
c        ierr is set to
c          zero       for normal return,
c          7*n+1      if b is not positive definite.
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
      ierr = 0
      nn = iabs(n)
      if (n .lt. 0) go to 100
c     .......... form l in the arrays b and dl ..........
      do 80 i = 1, n
         i1 = i - 1
c
         do 80 j = i, n
            x = b(i,j)
            if (i .eq. 1) go to 40
c
            do 20 k = 1, i1
   20       x = x - b(i,k) * b(j,k)
c
   40       if (j .ne. i) go to 60
            if (x .le. 0.0d0) go to 1000
            y = dsqrt(x)
            dl(i) = y
            go to 80
   60       b(j,i) = x / y
   80 continue
c     .......... form the transpose of the upper triangle of inv(l)*a
c                in the lower triangle of the array a ..........
  100 do 200 i = 1, nn
         i1 = i - 1
         y = dl(i)
c
         do 200 j = i, nn
            x = a(i,j)
            if (i .eq. 1) go to 180
c
            do 160 k = 1, i1
  160       x = x - b(i,k) * a(j,k)
c
  180       a(j,i) = x / y
  200 continue
c     .......... pre-multiply by inv(l) and overwrite ..........
      do 300 j = 1, nn
         j1 = j - 1
c
         do 300 i = j, nn
            x = a(i,j)
            if (i .eq. j) go to 240
            i1 = i - 1
c
            do 220 k = j, i1
  220       x = x - a(k,j) * b(i,k)
c
  240       if (j .eq. 1) go to 280
c
            do 260 k = 1, j1
  260       x = x - a(j,k) * b(i,k)
c
  280       a(i,j) = x / dl(i)
  300 continue
c
      go to 1001
c     .......... set error -- b is not positive definite ..........
 1000 ierr = 7 * n + 1
 1001 return
      end
      subroutine tql2(nm,n,d,e,z,ierr)
c
      integer i,j,k,l,m,n,ii,l1,l2,nm,mml,ierr
      double precision d(n),e(n),z(nm,n)
      double precision c,c2,c3,dl1,el1,f,g,h,p,r,s,s2,tst1,tst2,pythag
c
c     this subroutine is a translation of the algol procedure tql2,
c     num. math. 11, 293-306(1968) by bowdler, martin, reinsch, and
c     wilkinson.
c     handbook for auto. comp., vol.ii-linear algebra, 227-240(1971).
c
c     this subroutine finds the eigenvalues and eigenvectors
c     of a symmetric tridiagonal matrix by the ql method.
c     the eigenvectors of a full symmetric matrix can also
c     be found if  tred2  has been used to reduce this
c     full matrix to tridiagonal form.
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        d contains the diagonal elements of the input matrix.
c
c        e contains the subdiagonal elements of the input matrix
c          in its last n-1 positions.  e(1) is arbitrary.
c
c        z contains the transformation matrix produced in the
c          reduction by  tred2, if performed.  if the eigenvectors
c          of the tridiagonal matrix are desired, z must contain
c          the identity matrix.
c
c      on output
c
c        d contains the eigenvalues in ascending order.  if an
c          error exit is made, the eigenvalues are correct but
c          unordered for indices 1,2,...,ierr-1.
c
c        e has been destroyed.
c
c        z contains orthonormal eigenvectors of the symmetric
c          tridiagonal (or full) matrix.  if an error exit is made,
c          z contains the eigenvectors associated with the stored
c          eigenvalues.
c
c        ierr is set to
c          zero       for normal return,
c          j          if the j-th eigenvalue has not been
c                     determined after 30 iterations.
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
      ierr = 0
      if (n .eq. 1) go to 1001
c
      do 100 i = 2, n
  100 e(i-1) = e(i)
c
      f = 0.0d0
      tst1 = 0.0d0
      e(n) = 0.0d0
c
      do 240 l = 1, n
         j = 0
         h = dabs(d(l)) + dabs(e(l))
         if (tst1 .lt. h) tst1 = h
c     .......... look for small sub-diagonal element ..........
         do 110 m = l, n
            tst2 = tst1 + dabs(e(m))
            if (tst2 .eq. tst1) go to 120
c     .......... e(n) is always zero, so there is no exit
c                through the bottom of the loop ..........
  110    continue
c
  120    if (m .eq. l) go to 220
  130    if (j .eq. 30) go to 1000
         j = j + 1
c     .......... form shift ..........
         l1 = l + 1
         l2 = l1 + 1
         g = d(l)
         p = (d(l1) - g) / (2.0d0 * e(l))
         r = pythag(p,1.0d0)
         d(l) = e(l) / (p + dsign(r,p))
         d(l1) = e(l) * (p + dsign(r,p))
         dl1 = d(l1)
         h = g - d(l)
         if (l2 .gt. n) go to 145
c
         do 140 i = l2, n
  140    d(i) = d(i) - h
c
  145    f = f + h
c     .......... ql transformation ..........
         p = d(m)
         c = 1.0d0
         c2 = c
         el1 = e(l1)
         s = 0.0d0
         mml = m - l
c     .......... for i=m-1 step -1 until l do -- ..........
         do 200 ii = 1, mml
            c3 = c2
            c2 = c
            s2 = s
            i = m - ii
            g = c * e(i)
            h = c * p
            r = pythag(p,e(i))
            e(i+1) = s * r
            s = e(i) / r
            c = p / r
            p = c * d(i) - s * g
            d(i+1) = h + s * (c * g + s * d(i))
c     .......... form vector ..........
            do 180 k = 1, n
               h = z(k,i+1)
               z(k,i+1) = s * z(k,i) + c * h
               z(k,i) = c * z(k,i) - s * h
  180       continue
c
  200    continue
c
         p = -s * s2 * c3 * el1 * e(l) / dl1
         e(l) = s * p
         d(l) = c * p
         tst2 = tst1 + dabs(e(l))
         if (tst2 .gt. tst1) go to 130
  220    d(l) = d(l) + f
  240 continue
c     .......... order eigenvalues and eigenvectors ..........
      do 300 ii = 2, n
         i = ii - 1
         k = i
         p = d(i)
c
         do 260 j = ii, n
            if (d(j) .ge. p) go to 260
            k = j
            p = d(j)
  260    continue
c
         if (k .eq. i) go to 300
         d(k) = d(i)
         d(i) = p
c
         do 280 j = 1, n
            p = z(j,i)
            z(j,i) = z(j,k)
            z(j,k) = p
  280    continue
c
  300 continue
c
      go to 1001
c     .......... set error -- no convergence to an
c                eigenvalue after 30 iterations ..........
 1000 ierr = l
 1001 return
      end
      subroutine tred1(nm,n,a,d,e,e2)
c
      integer i,j,k,l,n,ii,nm,jp1
      double precision a(nm,n),d(n),e(n),e2(n)
      double precision f,g,h,scale
c
c     this subroutine is a translation of the algol procedure tred1,
c     num. math. 11, 181-195(1968) by martin, reinsch, and wilkinson.
c     handbook for auto. comp., vol.ii-linear algebra, 212-226(1971).
c
c     this subroutine reduces a real symmetric matrix
c     to a symmetric tridiagonal matrix using
c     orthogonal 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        a contains the real symmetric input matrix.  only the
c          lower triangle of the matrix need be supplied.
c
c     on output
c
c        a contains information about the orthogonal trans-
c          formations used in the reduction in its strict lower
c          triangle.  the full upper triangle of a is unaltered.
c
c        d contains the diagonal elements of 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     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
      do 100 i = 1, n
         d(i) = a(n,i)
         a(n,i) = a(i,i)
  100 continue
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(d(k))
c
         if (scale .ne. 0.0d0) go to 140
c
         do 125 j = 1, l
            d(j) = a(l,j)
            a(l,j) = a(i,j)
            a(i,j) = 0.0d0
  125    continue
c
  130    e(i) = 0.0d0
         e2(i) = 0.0d0
         go to 300
c
  140    do 150 k = 1, l
            d(k) = d(k) / scale
            h = h + d(k) * d(k)
  150    continue
c
         e2(i) = scale * scale * h
         f = d(l)
         g = -dsign(dsqrt(h),f)
         e(i) = scale * g
         h = h - f * g
         d(l) = f - g
         if (l .eq. 1) go to 285
c     .......... form a*u ..........
         do 170 j = 1, l
  170    e(j) = 0.0d0
c
         do 240 j = 1, l
            f = d(j)
            g = e(j) + a(j,j) * f
            jp1 = j + 1
            if (l .lt. jp1) go to 220
c
            do 200 k = jp1, l
               g = g + a(k,j) * d(k)
               e(k) = e(k) + a(k,j) * f
  200       continue
c
  220       e(j) = g
  240    continue
c     .......... form p ..........
         f = 0.0d0
c
         do 245 j = 1, l
            e(j) = e(j) / h
            f = f + e(j) * d(j)
  245    continue
c
         h = f / (h + h)
c     .......... form q ..........
         do 250 j = 1, l
  250    e(j) = e(j) - h * d(j)
c     .......... form reduced a ..........
         do 280 j = 1, l
            f = d(j)
            g = e(j)
c
            do 260 k = j, l
  260       a(k,j) = a(k,j) - f * e(k) - g * d(k)
c
  280    continue
c
  285    do 290 j = 1, l
            f = d(j)
            d(j) = a(l,j)
            a(l,j) = a(i,j)
            a(i,j) = f * scale
  290    continue
c
  300 continue
c
      return
      end
      subroutine tred2(nm,n,a,d,e,z)
c
      integer i,j,k,l,n,ii,nm,jp1
      double precision a(nm,n),d(n),e(n),z(nm,n)
      double precision f,g,h,hh,scale
c
c     this subroutine is a translation of the algol procedure tred2,
c     num. math. 11, 181-195(1968) by martin, reinsch, and wilkinson.
c     handbook for auto. comp., vol.ii-linear algebra, 212-226(1971).
c
c     this subroutine reduces a real symmetric matrix to a
c     symmetric tridiagonal matrix using and accumulating
c     orthogonal 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        a contains the real symmetric input matrix.  only the
c          lower triangle of the matrix need be supplied.
c
c     on output
c
c        d contains the diagonal elements of 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        z contains the orthogonal transformation matrix
c          produced in the reduction.
c
c        a and z may coincide.  if distinct, a is unaltered.
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
      do 100 i = 1, n
c
         do 80 j = i, n
   80    z(j,i) = a(j,i)
c
         d(i) = a(n,i)
  100 continue
c
      if (n .eq. 1) go to 510
c     .......... for i=n step -1 until 2 do -- ..........
      do 300 ii = 2, n
         i = n + 2 - ii
         l = i - 1
         h = 0.0d0
         scale = 0.0d0
         if (l .lt. 2) go to 130
c     .......... scale row (algol tol then not needed) ..........
         do 120 k = 1, l
  120    scale = scale + dabs(d(k))
c
         if (scale .ne. 0.0d0) go to 140
  130    e(i) = d(l)
c
         do 135 j = 1, l
            d(j) = z(l,j)
            z(i,j) = 0.0d0
            z(j,i) = 0.0d0
  135    continue
c
         go to 290
c
  140    do 150 k = 1, l
            d(k) = d(k) / scale
            h = h + d(k) * d(k)
  150    continue
c
         f = d(l)
         g = -dsign(dsqrt(h),f)
         e(i) = scale * g
         h = h - f * g
         d(l) = f - g
c     .......... form a*u ..........
         do 170 j = 1, l
  170    e(j) = 0.0d0
c
         do 240 j = 1, l
            f = d(j)
            z(j,i) = f
            g = e(j) + z(j,j) * f
            jp1 = j + 1
            if (l .lt. jp1) go to 220
c
            do 200 k = jp1, l
               g = g + z(k,j) * d(k)
               e(k) = e(k) + z(k,j) * f
  200       continue
c
  220       e(j) = g
  240    continue
c     .......... form p ..........
         f = 0.0d0
c
         do 245 j = 1, l
            e(j) = e(j) / h
            f = f + e(j) * d(j)
  245    continue
c
         hh = f / (h + h)
c     .......... form q ..........
         do 250 j = 1, l
  250    e(j) = e(j) - hh * d(j)
c     .......... form reduced a ..........
         do 280 j = 1, l
            f = d(j)
            g = e(j)
c
            do 260 k = j, l
  260       z(k,j) = z(k,j) - f * e(k) - g * d(k)
c
            d(j) = z(l,j)
            z(i,j) = 0.0d0
  280    continue
c
  290    d(i) = h
  300 continue
c     .......... accumulation of transformation matrices ..........
      do 500 i = 2, n
         l = i - 1
         z(n,l) = z(l,l)
         z(l,l) = 1.0d0
         h = d(i)
         if (h .eq. 0.0d0) go to 380
c
         do 330 k = 1, l
  330    d(k) = z(k,i) / h
c
         do 360 j = 1, l
            g = 0.0d0
c
            do 340 k = 1, l
  340       g = g + z(k,i) * z(k,j)
c
            do 360 k = 1, l
               z(k,j) = z(k,j) - g * d(k)
  360    continue
c
  380    do 400 k = 1, l
  400    z(k,i) = 0.0d0
c
  500 continue
c
  510 do 520 i = 1, n
         d(i) = z(n,i)
         z(n,i) = 0.0d0
  520 continue
c
      z(n,n) = 1.0d0
      e(1) = 0.0d0
      return
      end
