+++ /dev/null
- subroutine bsplvd ( t, lent, k, x, left, a, dbiatx, nderiv )
-c -------- ------
-c implicit none
-
-C calculates value and deriv.s of all b-splines which do not vanish at x
-C calls bsplvb
-c
-c****** i n p u t ******
-c t the knot array, of length left+k (at least)
-c k the order of the b-splines to be evaluated
-c x the point at which these values are sought
-c left an integer indicating the left endpoint of the interval of
-c interest. the k b-splines whose support contains the interval
-c (t(left), t(left+1))
-c are to be considered.
-c a s s u m p t i o n - - - it is assumed that
-c t(left) < t(left+1)
-c division by zero will result otherwise (in b s p l v b ).
-c also, the output is as advertised only if
-c t(left) <= x <= t(left+1) .
-c nderiv an integer indicating that values of b-splines and their
-c derivatives up to but not including the nderiv-th are asked
-c for. ( nderiv is replaced internally by the integer in (1,k)
-c closest to it.)
-c
-c****** w o r k a r e a ******
-c a an array of order (k,k), to contain b-coeff.s of the derivat-
-c ives of a certain order of the k b-splines of interest.
-c
-c****** o u t p u t ******
-c dbiatx an array of order (k,nderiv). its entry (i,m) contains
-c value of (m-1)st derivative of (left-k+i)-th b-spline of
-c order k for knot sequence t , i=m,...,k; m=1,...,nderiv.
-c
-c****** m e t h o d ******
-c values at x of all the relevant b-splines of order k,k-1,...,
-c k+1-nderiv are generated via bsplvb and stored temporarily
-c in dbiatx . then, the b-coeffs of the required derivatives of the
-c b-splines of interest are generated by differencing, each from the
-c preceding one of lower order, and combined with the values of b-
-c splines of corresponding order in dbiatx to produce the desired
-c values.
-
-C Args
- integer lent,k,left,nderiv
- double precision t(lent),x, dbiatx(k,nderiv), a(k,k)
-C Locals
- double precision factor,fkp1mm,sum
- integer i,ideriv,il,j,jlow,jp1mid, kp1,kp1mm,ldummy,m,mhigh
-
- mhigh = max0(min0(nderiv,k),1)
-c mhigh is usually equal to nderiv.
- kp1 = k+1
- call bsplvb(t,lent,kp1-mhigh,1,x,left,dbiatx)
- if (mhigh .eq. 1) go to 99
-c the first column of dbiatx always contains the b-spline values
-c for the current order. these are stored in column k+1-current
-c order before bsplvb is called to put values for the next
-c higher order on top of it.
- ideriv = mhigh
- do 15 m=2,mhigh
- jp1mid = 1
- do 11 j=ideriv,k
- dbiatx(j,ideriv) = dbiatx(jp1mid,1)
- 11 jp1mid = jp1mid + 1
- ideriv = ideriv - 1
- call bsplvb(t,lent,kp1-ideriv,2,x,left,dbiatx)
- 15 continue
-c
-c at this point, b(left-k+i, k+1-j)(x) is in dbiatx(i,j) for
-c i=j,...,k and j=1,...,mhigh ('=' nderiv). in particular, the
-c first column of dbiatx is already in final form. to obtain cor-
-c responding derivatives of b-splines in subsequent columns, gene-
-c rate their b-repr. by differencing, then evaluate at x.
-c
- jlow = 1
- do 20 i=1,k
- do 19 j=jlow,k
- 19 a(j,i) = 0d0
- jlow = i
- 20 a(i,i) = 1d0
-c at this point, a(.,j) contains the b-coeffs for the j-th of the
-c k b-splines of interest here.
-c
- do 40 m=2,mhigh
- kp1mm = kp1 - m
- fkp1mm = dble(kp1mm)
- il = left
- i = k
-c
-c for j=1,...,k, construct b-coeffs of (m-1)st derivative of
-c b-splines from those for preceding derivative by differencing
-c and store again in a(.,j) . the fact that a(i,j) = 0 for
-c i < j is used.sed.
- do 25 ldummy=1,kp1mm
- factor = fkp1mm/(t(il+kp1mm) - t(il))
-c the assumption that t(left) < t(left+1) makes denominator
-c in factor nonzero.
- do 24 j=1,i
- 24 a(i,j) = (a(i,j) - a(i-1,j))*factor
- il = il - 1
- 25 i = i - 1
-c
-c for i=1,...,k, combine b-coeffs a(.,i) with b-spline values
-c stored in dbiatx(.,m) to get value of (m-1)st derivative of
-c i-th b-spline (of interest here) at x , and store in
-c dbiatx(i,m). storage of this value over the value of a b-spline
-c of order m there is safe since the remaining b-spline derivat-
-c ive of the same order do not use this value due to the fact
-c that a(j,i) = 0 for j < i .
- do 40 i=1,k
- sum = 0.d0
- jlow = max0(i,m)
- do 35 j=jlow,k
- 35 sum = a(j,i)*dbiatx(j,m) + sum
- 40 dbiatx(i,m) = sum
- 99 return
- end