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source: branches/MathNetNumerics-Exploration-2789/HeuristicLab.Algorithms.DataAnalysis.Experimental/sbart/bsplvd.f @ 15457

Last change on this file since 15457 was 15457, checked in by gkronber, 6 years ago

#2789 added Finbarr O'Sullivan smoothing spline code

File size: 4.7 KB
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1      subroutine bsplvd ( t, k, x, left, a, dbiatx, nderiv )
2c  from  * a practical guide to splines *  by c. de Boor (7 may 92)   
3calls bsplvb
4calculates value and deriv.s of all b-splines which do not vanish at x
5c
6c******  i n p u t  ******
7c  t     the knot array, of length left+k (at least)
8c  k     the order of the b-splines to be evaluated
9c  x     the point at which these values are sought
10c  left  an integer indicating the left endpoint of the interval of
11c        interest. the  k  b-splines whose support contains the interval
12c               (t(left), t(left+1))
13c        are to be considered.
14c  a s s u m p t i o n  - - -  it is assumed that
15c               t(left) .lt. t(left+1)
16c        division by zero will result otherwise (in  b s p l v b ).
17c        also, the output is as advertised only if
18c               t(left) .le. x .le. t(left+1) .
19c  nderiv   an integer indicating that values of b-splines and their
20c        derivatives up to but not including the  nderiv-th  are asked
21c        for. ( nderiv  is replaced internally by the integer  m h i g h
22c        in  (1,k)  closest to it.)
23c
24c******  w o r k   a r e a  ******
25c  a     an array of order (k,k), to contain b-coeff.s of the derivat-
26c        ives of a certain order of the  k  b-splines of interest.
27c
28c******  o u t p u t  ******
29c  dbiatx   an array of order (k,nderiv). its entry  (i,m)  contains
30c        value of  (m-1)st  derivative of  (left-k+i)-th  b-spline of
31c        order  k  for knot sequence  t , i=1,...,k, m=1,...,nderiv.
32c
33c******  m e t h o d  ******
34c  values at  x  of all the relevant b-splines of order k,k-1,...,
35c  k+1-nderiv  are generated via  bsplvb  and stored temporarily in
36c  dbiatx .  then, the b-coeffs of the required derivatives of the b-
37c  splines of interest are generated by differencing, each from the pre-
38c  ceding one of lower order, and combined with the values of b-splines
39c  of corresponding order in  dbiatx  to produce the desired values .
40c
41      integer k,left,nderiv,   i,ideriv,il,j,jlow,jp1mid,kp1,kp1mm
42     *                        ,ldummy,m,mhigh
43      real a(k,k),dbiatx(k,nderiv),t(1),x,   factor,fkp1mm,sum
44      mhigh = max0(min0(nderiv,k),1)
45c     mhigh is usually equal to nderiv.
46      kp1 = k+1
47      call bsplvb(t,kp1-mhigh,1,x,left,dbiatx)
48      if (mhigh .eq. 1)                 go to 99
49c     the first column of  dbiatx  always contains the b-spline values
50c     for the current order. these are stored in column k+1-current
51c     order  before  bsplvb  is called to put values for the next
52c     higher order on top of it.
53      ideriv = mhigh
54      do 15 m=2,mhigh
55         jp1mid = 1
56         do 11 j=ideriv,k
57            dbiatx(j,ideriv) = dbiatx(jp1mid,1)
58   11       jp1mid = jp1mid + 1
59         ideriv = ideriv - 1
60         call bsplvb(t,kp1-ideriv,2,x,left,dbiatx)
61   15    continue
62c
63c     at this point,  b(left-k+i, k+1-j)(x) is in  dbiatx(i,j) for
64c     i=j,...,k and j=1,...,mhigh ('=' nderiv). in particular, the
65c     first column of  dbiatx  is already in final form. to obtain cor-
66c     responding derivatives of b-splines in subsequent columns, gene-
67c     rate their b-repr. by differencing, then evaluate at  x.
68c
69      jlow = 1
70      do 20 i=1,k
71         do 19 j=jlow,k
72   19       a(j,i) = 0.
73         jlow = i
74   20    a(i,i) = 1.
75c     at this point, a(.,j) contains the b-coeffs for the j-th of the
76c     k  b-splines of interest here.
77c
78      do 40 m=2,mhigh
79         kp1mm = kp1 - m
80         fkp1mm = float(kp1mm)
81         il = left
82         i = k
83c
84c        for j=1,...,k, construct b-coeffs of  (m-1)st  derivative of
85c        b-splines from those for preceding derivative by differencing
86c        and store again in  a(.,j) . the fact that  a(i,j) = 0  for
87c        i .lt. j  is used.
88         do 25 ldummy=1,kp1mm
89            factor = fkp1mm/(t(il+kp1mm) - t(il))
90c           the assumption that t(left).lt.t(left+1) makes denominator
91c           in  factor  nonzero.
92            do 24 j=1,i
93   24          a(i,j) = (a(i,j) - a(i-1,j))*factor
94            il = il - 1
95   25       i = i - 1
96c
97c        for i=1,...,k, combine b-coeffs a(.,i) with b-spline values
98c        stored in dbiatx(.,m) to get value of  (m-1)st  derivative of
99c        i-th b-spline (of interest here) at  x , and store in
100c        dbiatx(i,m). storage of this value over the value of a b-spline
101c        of order m there is safe since the remaining b-spline derivat-
102c        ives of the same order do not use this value due to the fact
103c        that  a(j,i) = 0  for j .lt. i .
104         do 40 i=1,k
105            sum = 0.
106            jlow = max0(i,m)
107            do 35 j=jlow,k
108   35          sum = a(j,i)*dbiatx(j,m) + sum
109   40       dbiatx(i,m) = sum
110   99                                   return
111      end
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