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87
fitpack/fpchec.f
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87
fitpack/fpchec.f
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recursive subroutine fpchec(x,m,t,n,k,ier)
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implicit none
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c subroutine fpchec verifies the number and the position of the knots
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c t(j),j=1,2,...,n of a spline of degree k, in relation to the number
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c and the position of the data points x(i),i=1,2,...,m. if all of the
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c following conditions are fulfilled, the error parameter ier is set
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c to zero. if one of the conditions is violated ier is set to ten.
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c 1) k+1 <= n-k-1 <= m
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c 2) t(1) <= t(2) <= ... <= t(k+1)
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c t(n-k) <= t(n-k+1) <= ... <= t(n)
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c 3) t(k+1) < t(k+2) < ... < t(n-k)
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c 4) t(k+1) <= x(i) <= t(n-k)
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c 5) the conditions specified by schoenberg and whitney must hold
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c for at least one subset of data points, i.e. there must be a
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c subset of data points y(j) such that
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c t(j) < y(j) < t(j+k+1), j=1,2,...,n-k-1
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c ..
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c ..scalar arguments..
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integer m,n,k,ier
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c ..array arguments..
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real*8 x(m),t(n)
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c ..local scalars..
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integer i,j,k1,k2,l,nk1,nk2,nk3
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real*8 tj,tl
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c ..
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k1 = k+1
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k2 = k1+1
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nk1 = n-k1
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nk2 = nk1+1
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ier = 10
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c check condition no 1
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if (nk1.lt.k1 .or. nk1.gt.m) then
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ier = 10
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go to 80
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endif
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c check condition no 2
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j = n
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do 20 i=1,k
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if (t(i) .gt. t(i+1)) then
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ier = 20
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go to 80
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endif
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if (t(j) .lt. t(j-1)) then
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ier = 20
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go to 80
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endif
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j = j-1
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20 continue
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c check condition no 3
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do 30 i=k2,nk2
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if (t(i) .le. t(i-1)) then
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ier = 30
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go to 80
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endif
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30 continue
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c check condition no 4
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if (x(1).lt.t(k1) .or. x(m).gt.t(nk2)) then
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ier = 40
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go to 80
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endif
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c check condition no 5
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if (x(1).ge.t(k2) .or. x(m).le.t(nk1)) then
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ier = 50
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go to 80
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endif
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i = 1
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l = k2
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nk3 = nk1-1
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if (nk3 .lt. 2) go to 70
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do 60 j=2,nk3
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tj = t(j)
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l = l+1
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tl = t(l)
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40 i = i+1
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if (i .ge. m) then
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ier = 50
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go to 80
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endif
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if (x(i) .le. tj) go to 40
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if (x(i) .ge. tl) then
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ier = 50
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go to 80
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endif
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60 continue
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70 ier = 0
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80 return
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end
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