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fitpack/pardeu.f
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159
fitpack/pardeu.f
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recursive subroutine pardeu(tx,nx,ty,ny,c,kx,ky,nux,nuy,x,y,z,m,
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* wrk,lwrk,iwrk,kwrk,ier)
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implicit none
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c subroutine pardeu evaluates on a set of points (x(i),y(i)),i=1,...,m
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c the partial derivative ( order nux,nuy) of a bivariate spline
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c s(x,y) of degrees kx and ky, given in the b-spline representation.
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c
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c calling sequence:
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c call parder(tx,nx,ty,ny,c,kx,ky,nux,nuy,x,mx,y,my,z,wrk,lwrk,
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c * iwrk,kwrk,ier)
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c
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c input parameters:
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c tx : real array, length nx, which contains the position of the
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c knots in the x-direction.
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c nx : integer, giving the total number of knots in the x-direction
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c ty : real array, length ny, which contains the position of the
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c knots in the y-direction.
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c ny : integer, giving the total number of knots in the y-direction
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c c : real array, length (nx-kx-1)*(ny-ky-1), which contains the
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c b-spline coefficients.
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c kx,ky : integer values, giving the degrees of the spline.
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c nux : integer values, specifying the order of the partial
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c nuy derivative. 0<=nux<kx, 0<=nuy<ky.
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c kx,ky : integer values, giving the degrees of the spline.
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c x : real array of dimension (mx).
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c y : real array of dimension (my).
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c m : on entry m must specify the number points. m >= 1.
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c wrk : real array of dimension lwrk. used as workspace.
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c lwrk : integer, specifying the dimension of wrk.
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c lwrk >= mx*(kx+1-nux)+my*(ky+1-nuy)+(nx-kx-1)*(ny-ky-1)
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c iwrk : integer array of dimension kwrk. used as workspace.
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c kwrk : integer, specifying the dimension of iwrk. kwrk >= mx+my.
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c
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c output parameters:
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c z : real array of dimension (m).
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c on successful exit z(i) contains the value of the
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c specified partial derivative of s(x,y) at the point
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c (x(i),y(i)),i=1,...,m.
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c ier : integer error flag
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c ier=0 : normal return
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c ier=10: invalid input data (see restrictions)
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c
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c restrictions:
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c lwrk>=m*(kx+1-nux)+m*(ky+1-nuy)+(nx-kx-1)*(ny-ky-1),
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c
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c other subroutines required:
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c fpbisp,fpbspl
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c
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c references :
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c de boor c : on calculating with b-splines, j. approximation theory
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c 6 (1972) 50-62.
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c dierckx p. : curve and surface fitting with splines, monographs on
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c numerical analysis, oxford university press, 1993.
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c
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c author :
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c p.dierckx
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c dept. computer science, k.u.leuven
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c celestijnenlaan 200a, b-3001 heverlee, belgium.
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c e-mail : Paul.Dierckx@cs.kuleuven.ac.be
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c
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c latest update : march 1989
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c
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c ..scalar arguments..
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integer nx,ny,kx,ky,m,lwrk,kwrk,ier,nux,nuy
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c ..array arguments..
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integer iwrk(kwrk)
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real*8 tx(nx),ty(ny),c((nx-kx-1)*(ny-ky-1)),x(m),y(m),z(m),
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* wrk(lwrk)
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c ..local scalars..
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integer i,iwx,iwy,j,kkx,kky,kx1,ky1,lx,ly,lwest,l1,l2,mm,m0,m1,
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* nc,nkx1,nky1,nxx,nyy
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real*8 ak,fac
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c ..
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c before starting computations a data check is made. if the input data
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c are invalid control is immediately repassed to the calling program.
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ier = 10
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kx1 = kx+1
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ky1 = ky+1
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nkx1 = nx-kx1
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nky1 = ny-ky1
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nc = nkx1*nky1
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if(nux.lt.0 .or. nux.ge.kx) go to 400
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if(nuy.lt.0 .or. nuy.ge.ky) go to 400
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lwest = nc +(kx1-nux)*m+(ky1-nuy)*m
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if(lwrk.lt.lwest) go to 400
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if(kwrk.lt.(m+m)) go to 400
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if (m.lt.1) go to 400
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ier = 0
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nxx = nkx1
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nyy = nky1
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kkx = kx
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kky = ky
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c the partial derivative of order (nux,nuy) of a bivariate spline of
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c degrees kx,ky is a bivariate spline of degrees kx-nux,ky-nuy.
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c we calculate the b-spline coefficients of this spline
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do 70 i=1,nc
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wrk(i) = c(i)
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70 continue
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if(nux.eq.0) go to 200
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lx = 1
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do 100 j=1,nux
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ak = kkx
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nxx = nxx-1
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l1 = lx
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m0 = 1
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do 90 i=1,nxx
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l1 = l1+1
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l2 = l1+kkx
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fac = tx(l2)-tx(l1)
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if(fac.le.0.) go to 90
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do 80 mm=1,nyy
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m1 = m0+nyy
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wrk(m0) = (wrk(m1)-wrk(m0))*ak/fac
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m0 = m0+1
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80 continue
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90 continue
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lx = lx+1
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kkx = kkx-1
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100 continue
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200 if(nuy.eq.0) go to 300
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ly = 1
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do 230 j=1,nuy
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ak = kky
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nyy = nyy-1
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l1 = ly
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do 220 i=1,nyy
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l1 = l1+1
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l2 = l1+kky
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fac = ty(l2)-ty(l1)
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if(fac.le.0.) go to 220
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m0 = i
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do 210 mm=1,nxx
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m1 = m0+1
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wrk(m0) = (wrk(m1)-wrk(m0))*ak/fac
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m0 = m0+nky1
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210 continue
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220 continue
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ly = ly+1
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kky = kky-1
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230 continue
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m0 = nyy
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m1 = nky1
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do 250 mm=2,nxx
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do 240 i=1,nyy
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m0 = m0+1
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m1 = m1+1
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wrk(m0) = wrk(m1)
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240 continue
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m1 = m1+nuy
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250 continue
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c we partition the working space and evaluate the partial derivative
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300 iwx = 1+nxx*nyy
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iwy = iwx+m*(kx1-nux)
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do 390 i=1,m
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call fpbisp(tx(nux+1),nx-2*nux,ty(nuy+1),ny-2*nuy,wrk,kkx,kky,
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* x(i),1,y(i),1,z(i),wrk(iwx),wrk(iwy),iwrk(1),iwrk(2))
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390 continue
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400 return
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end
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