source: trunk/SRC/Interpolation/spl_incr.pro @ 134

;------------------------------------------------------------
;------------------------------------------------------------
;------------------------------------------------------------
;+
;
; @file_comments
;
; Given the arrays X and Y, which tabulate a function (with the X[i]
; AND Y[i] in ascending order), and given an input value X2, the
; SPL_INCR function returns an interpolated value for the given values
; of X2. The interpolation method is based on cubic spline, corrected
; in a way that interpolated values are also monotonically increasing.
;
; @param x1 {in}{required}
; An n-element (at least 2) input vector that specifies the tabulate points in
; a strict ascending order.
;
; @param y1 {in}{required}
; f(x) = y. An n-element input vector that specifies the values
;    of the tabulated function F(Xi) corresponding to Xi. As f is
;    supposed to be monotonically increasing, y values must be
;    monotonically increasing. y can have equal consecutive values.
;
; @param x2 {in}{required}
; The input values for which the interpolated values are
; desired. Its values must be strictly monotonically increasing.
;
; @param der2
; @param x
;
; @returns
;
;    y2: f(x2) = y2. Double precision array
;
; @restrictions
;   It might be possible that y2[i+1]-y2[i] has very small negative
;   values (amplitude smaller than 1.e-6)...
;
; @examples
;
; IDL> n = 100L
; IDL> x = (dindgen(n))^2
; IDL> y = abs(randomn(0, n))
; IDL> y[n/2:n/2+1] = 0.
; IDL> y[n-n/3] = 0.
; IDL> y[n-n/6:n-n/6+5] = 0.
; IDL> y = total(y, /cumulative, /double)
; IDL> x2 = dindgen((n-1)^2)
; IDL> n2 = n_elements(x2)
; IDL> print, min(y[1:n-1]-y[0:n-2]) LT 0
; IDL> y2 = spl_incr( x, y, x2)
; IDL> splot, x, y, xstyle = 1, ystyle = 1, ysurx=.25, petit = [1, 2, 1], /land
; IDL> oplot, x2, y2, color = 100
; IDL> c = y2[1:n2-1] - y2[0:n2-2]
; IDL> print, min(c) LT 0
; IDL> print, min(c, max = ma), ma
; IDL> splot,c,xstyle=1,ystyle=1, yrange=[-.01,.05], ysurx=.25, petit = [1, 2, 2], /noerase
; IDL> oplot,[0, n_elements(c)], [0, 0], linestyle = 1
;
; @history
;  Sebastien Masson (smasson\@lodyc.jussieu.fr): May-Dec 2005
;
; @version $Id$
;
;-
;------------------------------------------------------------
;------------------------------------------------------------
;------------------------------------------------------------
FUNCTION pure_concave, x1, x2, y1, y2, der2, x
; X^n type
;
  compile_opt idl2, strictarrsubs
;
  xx = (double(x)-double(x1))/(double(x2)-double(x1))
  f = (double(x2)-double(x1))/(double(y2)-double(y1))
  n = der2*temporary(f)
  res = xx^(n)
;   IF check_math() GT 0 THEN BEGIN
;       zero = where(abs(res) LT 1.e-10)
;       IF zero[0] NE -1 THEN res[zero] = 0.0d
;   END
  res = temporary(res)*(double(y2)-double(y1))+y1
;
;  IF array_equal(sort(res), lindgen(n_elements(res)) ) NE 1 THEN stop
  RETURN, res
END

;+
; @param x1 {in}{required}
; An n-element (at least 2) input vector that specifies the tabulate points in
; a strict ascending order.
;
; @param y1 {in}{required}
; f(x) = y. An n-element input vector that specifies the values
;    of the tabulated function F(Xi) corresponding to Xi. As f is
;    supposed to be monotonically increasing, y values must be
;    monotonically increasing. y can have equal consecutive values.
;
; @param x2 {in}{required}
; The input values for which the interpolated values are
; desired. Its values must be strictly monotonically increasing.
;
; @param der2
; @param x
;
;-
FUNCTION pure_convex, x1, x2, y1, y2, der2, x
; 1-(1-X)^n type
;
  compile_opt idl2, strictarrsubs
;
  xx = 1.0d - (double(x)-double(x1))/(double(x2)-double(x1))
  f = (double(x2)-double(x1))/(double(y2)-double(y1))
  n = der2*temporary(f)
  res = xx^(n)
;   IF check_math() GT 0 THEN BEGIN
;       zero = where(abs(res) LT 1.e-10)
;       IF zero[0] NE -1 THEN res[zero] = 0.0d
;   END
  res = 1.0d - temporary(res)
  res = temporary(res)*(y2-y1)+y1
;
;  IF array_equal(sort(res), lindgen(n_elements(res)) ) NE 1 THEN stop
  RETURN, res
END

;+
; @param x
; @param y
; @param x2
; @keyword YP0 The first derivative of the interpolating function at the
;    point X0. If YP0 is omitted, the second derivative at the
;    boundary is set to zero, resulting in a "natural spline."
; @keyword YPN_1 The first derivative of the interpolating function at the
;    point Xn-1. If YPN_1 is omitted, the second derivative at the
;    boundary is set to zero, resulting in a "natural spline."
;-
FUNCTION spl_incr, x, y, x2, YP0 = yp0, YPN_1 = ypn_1
;
  compile_opt idl2, strictarrsubs
;
;---------------------------------
; check and initialisation ...
;---------------------------------
;
  nx = n_elements(x)
  ny = n_elements(y)
  nx2 = n_elements(x2)
; x must have at least 2 elements
  IF nx LT 2 THEN stop
; y must have the same number of elements than x
  IF nx NE ny THEN stop
; x be monotonically increasing
  IF min(x[1:nx-1]-x[0:nx-2]) LE 0 THEN stop
; x2 be monotonically increasing
  IF N_ELEMENTS(X2) GE 2 THEN $
  IF min(x2[1:nx2-1]-x2[0:nx2-2])  LE 0 THEN stop
; y be monotonically increasing
  IF min(y[1:ny-1]-y[0:ny-2]) LT 0 THEN stop
;---------------------------------
; first check: check if two consecutive values are equal
;---------------------------------
  bad = where(y[1:ny-1]-y[0:ny-2] EQ 0, cntbad)
  IF cntbad NE 0 THEN BEGIN
; define the results: y2
      y2 = dblarr(nx2)
; define xinx2: see help of value_locate
;  if xinx2[i] eq -1   :                 x[bad[i]] <  x2[0]
;  if xinx2[i] eq nx2-1:                 x[bad[i]] >= x2[nx2-1]
;  else                : x2[xinx2[i]] <= x[bad[i]] <  x2[xinx2[i]+1]
    xinx2 = value_locate(x2, x[bad])
    xinx2_1 = value_locate(x2, x[bad+1])
;
; left side ... if there is x2 values smaller that x[bad[0]].
; we force ypn_1 = 0.0d
    IF xinx2[0] NE -1 THEN BEGIN
      IF bad[0] EQ 0 THEN BEGIN
        IF xinx2[0] NE 0 THEN stop
        y2[0] = y[0]
      ENDIF ELSE BEGIN
        y2[0:xinx2[0]] $
          = spl_incr(x[0:bad[0]], y[0:bad[0]], x2[0:xinx2[0]] $
                     , yp0 = yp0, ypn_1 = 0.0d)
      ENDELSE
    ENDIF
; flat section
    IF xinx2_1[0] NE -1 THEN $
      y2[(xinx2[0]+1) < xinx2_1[0] : xinx2_1[0]] = y[bad[0]]
; middle pieces ... if cntbad gt 1 then we have to cut spl_incr in
; more than 2 pieces...
      IF cntbad GT 1 THEN BEGIN
; we take care of the piece located wetween bad[ib-1]+1 and bad[ib]
        FOR ib = 1, cntbad-1 DO BEGIN
; if there is x2 values smaller that x[bad[ib]], then the x2 values
; located between bad[ib-1]+1 and bad[ib] are (xinx2_1[ib-1]+1:xinx2[ib]
; and if we don't have two consecutive flat sections
          IF xinx2[ib] NE -1 AND (bad[ib-1] NE bad[ib]-1) THEN begin
            y2[(xinx2_1[ib-1]+1) < xinx2[ib]:xinx2[ib]] $
              = spl_incr(x[bad[ib-1]+1:bad[ib]], y[bad[ib-1]+1:bad[ib]] $
                         , x2[(xinx2_1[ib-1]+1) < xinx2[ib]:xinx2[ib]] $
                         , yp0 = 0.0d, ypn_1 = 0.0d)
          ENDIF
; flat section
          IF xinx2_1[ib] NE -1 THEN $
            y2[(xinx2[ib]+1) < xinx2_1[ib] : xinx2_1[ib]] = y[bad[ib]]
        ENDFOR
      ENDIF
; right side ... if there is x2 values larger that x[bad[cntbad-1]+1].
; we force yp0 = 0.0d
      IF xinx2_1[cntbad-1] NE nx2-1 THEN $
        y2[xinx2_1[cntbad-1]+1:nx2-1] $
        = spl_incr(x[bad[cntbad-1]+1:nx-1], y[bad[cntbad-1]+1:nx-1] $
                        , x2[xinx2_1[cntbad-1]+1:nx2-1] $
                        , yp0 = 0.0d, ypn_1 = ypn_1new)

    RETURN, y2

  ENDIF
;-----------
; compute the second derivative of the cubic spline on each x.
;-----------
  yscd = spl_init(x, y, yp0 = yp0, ypn_1 = ypn_1, /double)
;---------------------------------
; second check: none of the first derivative on x values must be negative.
;---------------------------------
;
; compute the first derivative on x
;
  yifrst = spl_fstdrv(x, y, yscd, x)
;
; we force the negative first derivative to 0 by calling again
; spl_incr with the keywords yp0 and ypn_1 to specify the
; first derivative equal to 0
;
  bad = where(yifrst LT 0.0d, cntbad)
  IF cntbad NE 0 THEN BEGIN
;
; we define the new values of the keyword ypn_1:
; if the first derivative of the last value of x is negative
; we define the new values of the keyword ypn_1 to 0.0d0
    IF bad[cntbad-1] EQ nx-1 THEN BEGIN
      ypn_1new = 0.0d
; we remove this case from the list
      IF cntbad GE 2 THEN bad = bad[0:cntbad-2]
      cntbad = cntbad-1
; else we take the value of ypn_1 if it was already defined
    ENDIF ELSE IF n_elements(ypn_1) NE 0 THEN ypn_1new = ypn_1
;
; we define the new values of the keyword yp0:
; if the first derivative of the first value of x is negative
; we define the new values of the keyword yp0 to 0.0
    IF bad[0] EQ 0 THEN BEGIN
      yp0new = 0.0d
; we remove this case from the list
      IF cntbad GE 2 THEN bad = bad[1:cntbad-1]
      cntbad = cntbad-1
; else we take the value of yp0 if it was already defined
    ENDIF ELSE IF n_elements(yp0) NE 0 THEN yp0new = yp0
;
; if all the negative derivative corresponded to one of the cases above,
; then we can directly call spl_incr with the new yp0new and ypn_1new
    IF cntbad LE 0 THEN BEGIN
      y2 = spl_incr(x, y, x2, yp0 = yp0new, ypn_1 = ypn_1new)
;
; else: there is still cases with negative derivative ...
; we will cut spl_incr in n spl_incr and specify yp0, ypn_1
; for each of this n spl_incr
    ENDIF ELSE BEGIN
; define xinx2: see help of value_locate
;  if xinx2[i] eq -1   :                 x[bad[i]] <  x2[0]
;  if xinx2[i] eq nx2-1:                 x[bad[i]] >= x2[nx2-1]
;  else                : x2[xinx2[i]] <= x[bad[i]] <  x2[xinx2[i]+1]
      xinx2 = value_locate(x2, x[bad])
      y2 = dblarr(nx2)
; left side ... if there is x2 values smaller that x[bad[0]].
; we force ypn_1 = 0.0d
      IF xinx2[0] NE -1 THEN $
        y2[0:xinx2[0]] $
        = spl_incr(x[0:bad[0]], y[0:bad[0]], x2[0:xinx2[0]] $
                        , yp0 = yp0new, ypn_1 = 0.0d)
; middle pieces ... if cntbad gt 1 then we have to cut spl_incr in
; more than 2 pieces -> we have middle pieces for which
; we force yp0 = 0.0d and ypn_1 = 0.0d
      IF cntbad GT 1 THEN BEGIN
; we take care of the piece located wetween bad[ib-1] and bad[ib]
        FOR ib = 1, cntbad-1 DO BEGIN
; if there is x2 values smaller that x[bad[ib]], then the x2 values
; located between bad[ib-1] and bad[ib] are (xinx2[ib-1]+1:xinx2[ib]
          IF xinx2[ib] NE -1 THEN begin
            y2[(xinx2[ib-1]+1) < xinx2[ib]:xinx2[ib]] $
              = spl_incr(x[bad[ib-1]:bad[ib]], y[bad[ib-1]:bad[ib]] $
                              , x2[(xinx2[ib-1]+1) < xinx2[ib]:xinx2[ib]] $
                              , yp0 = 0.0d, ypn_1 = 0.0d)
          endif
        ENDFOR
      ENDIF
; right side ... if there is x2 values larger that x[bad[cntbad-1]].
; we force yp0 = 0.0d
      IF xinx2[cntbad-1] NE nx2-1 THEN $
        y2[xinx2[cntbad-1]+1:nx2-1] $
        = spl_incr(x[bad[cntbad-1]:nx-1], y[bad[cntbad-1]:nx-1] $
                        , x2[xinx2[cntbad-1]+1:nx2-1] $
                        , yp0 = 0.0d, ypn_1 = ypn_1new)
    ENDELSE
; we return the checked and corrected value of yfrst
;       FOR i = 0, nx-1 DO BEGIN
;         same = where(abs(x2- x[i]) LT 1.e-10, cnt)
; ;        IF cnt NE 0 THEN y2[same] = y[i]
;       ENDFOR
    RETURN, y2
  ENDIF
;
; we can be in this part of the code only if:
;  (1) spl_incr is called by itself
;  (2) none are the first derivative in x are negative (because they have been
;      checked and corrected by the previous call to spl_incr, see above)
;---------------------------------
; third check: we have to make sure that the first derivative cannot
;               have negative values between on x[0] and x[nx-1]
;---------------------------------
;
; first we compute the first derivative, next we correct the values
; where we know that the first derivative can be negative.
;
  y2 = spl_interp(x, y, yscd, x2, /double)
;
; between x[i] and x[i+1], the cubic spline is a cubic function:
; y  =  a*X^3 +  b*X^2 + c*X + d
; y' = 3a*X^2 + 2b*X   + c
; y''= 6a*X   + 2b
; if we take X = x[i+1]-x[i] then
;    d = y[i]; c = y'[i]; b = 0.5 * y''[i],
;    a = 1/6 * (y''[i+1]-y''[i])/(x[i+1]-x[i])
;
; y'[i] and y'[i+1] are positive so y' can be negative
; between x[i] and x[i+1] only if
;   1) a > 0
;            ==> y''[i+1] > y''[i]
;   2) y' reach its minimum value between  x[i] and x[i+1]
;      -> 0 < - b/(3a) < x[i+1]-x[i]
;            ==> y''[i+1] > 0 > y''[i]
;
; we do a first selection by looking for those points...
;
  loc = lindgen(nx-1)
  maybebad = where(yscd[loc] LE 0.0d AND yscd[loc+1] GE 0.0d, cntbad)
;
  IF cntbad NE 0 THEN BEGIN

    mbbloc = loc[maybebad]

    aaa = (yscd[mbbloc+1]-yscd[mbbloc])/(6.0d*(x[mbbloc+1]-x[mbbloc]))
    bbb = 0.5d * yscd[mbbloc]
    ccc = yifrst[mbbloc]
    ddd = y[mbbloc]
;
; definitive selection:
; y' can become negative if and only if (2b)^2 - 4(3a)c > 0
; y' can become negative if and only if    b^2  - (3a)c > 0
;
    delta = bbb*bbb - 3.0d*aaa*ccc
;
    bad = where(delta GT 0, cntbad)
;
    IF cntbad NE 0 THEN BEGIN
      delta = delta[bad]
      aaa = aaa[bad]
      bbb = bbb[bad]
      ccc = ccc[bad]
      ddd = ddd[bad]
      bad = maybebad[bad]
; define xinx2_1: see help of value_locate
;  if xinx2_1[i] eq -1   :                   x[bad[i]] <  x2[0]
;  if xinx2_1[i] eq nx2-1:                   x[bad[i]] >= x2[nx2-1]
;  else                  : x2[xinx2_1[i]] <= x[bad[i]] <  x2[xinx2_1[i]+1]
      xinx2_1 = value_locate(x2, x[bad])
; define xinx2_2: see help of value_locate
;  if xinx2_2[i] eq -1   :                   x[bad[i]+1] <  x2[0]
;  if xinx2_2[i] eq nx2-1:                   x[bad[i]+1] >= x2[nx2-1]
;  else                  : x2[xinx2_2[i]] <= x[bad[i]+1] <  x2[xinx2_2[i]+1]
      xinx2_2 = value_locate(x2, x[bad+1])
; to avoid the particular case when x2 = x[bad[i]]
; and there is no other x2 point until x[bad[i]+1]
      xinx2_1 = xinx2_1 < (xinx2_2-1)
;
      FOR ib = 0, cntbad-1 DO BEGIN
;
; at least one of the x2 points must be located between
; x[bad[ib]] and x[bad[ib]+1]
        IF x2[0] LE x[bad[ib]+1] AND x2[nx2-1] GE x[bad[ib]] THEN BEGIN
;
          CASE 1 OF
            yifrst[bad[ib]+1] EQ 0.0d:BEGIN
; case pur convex: we use the first derivative of 1-(1-x)^n
; and ajust n to get the good value: yifrst[bad[ib]] in x[bad[ib]]
              y2[xinx2_1[ib]+1:xinx2_2[ib]] $
                = pure_convex(x[bad[ib]], x[bad[ib]+1] $
                              , y[bad[ib]], y[bad[ib]+1]  $
                              , yifrst[bad[ib]] $
                              , x2[xinx2_1[ib]+1:xinx2_2[ib]])
            END
            yifrst[bad[ib]] EQ 0.0d:BEGIN
; case pur concave: we use the first derivative of x^n
; and ajust n to get the good value: yifrst[bad[ib]+1] in x[bad[ib]+1]
              y2[xinx2_1[ib]+1:xinx2_2[ib]] $
                = pure_concave(x[bad[ib]], x[bad[ib]+1] $
                               , y[bad[ib]], y[bad[ib]+1] $
                               , yifrst[bad[ib]+1] $
                               , x2[xinx2_1[ib]+1:xinx2_2[ib]])
            END
            ELSE:BEGIN
; in those cases, the first derivative has 2 zero between
; x[bad[ib]] and x[bad[ib]+1]. We look for the minimum value of the
; first derivative that correspond to the inflection point of y
              xinfl = -bbb[ib]/(3.0d*aaa[ib])
; we compute the y value for xinfl
              yinfl = aaa[ib]*xinfl*xinfl*xinfl + bbb[ib]*xinfl*xinfl $
                + ccc[ib]*xinfl + ddd[ib]
;
              CASE 1 OF
; if y[xinfl] smaller than y[bad[ib]] then we conserve y2 until
; the first zero of y2 and from this point we use x^n and ajust n to
; get the good value: yifrst[bad[ib]+1] in x[bad[ib]+1]
                yinfl LT y[bad[ib]]:BEGIN
; value of the first zero (y'[xzero]=0)
                  xzero = (-bbb[ib]-sqrt(delta[ib]))/(3.0d*aaa[ib])
; value of y[xzero]...
                  yzero = aaa[ib]*xzero*xzero*xzero + bbb[ib]*xzero*xzero $
                    + ccc[ib]*xzero + ddd[ib]
; if yzero > y[bad[ib]+1] then we cannot applay the method we want to
; apply => we use then convex-concave case by changing by hand the
; value of yinfl and xinfl
                  IF yzero GT y[bad[ib]+1] THEN BEGIN
                    yinfl = 0.5d*(y[bad[ib]+1]+y[bad[ib]])
                    xinfl = 0.5d*(x[bad[ib]+1]-x[bad[ib]])
                    GOTO, convexconcave
                  ENDIF
; define xinx2_3: see help of value_locate
;  if xinx2_3[ib] eq -1   :                x[bad[ib]]+xzero <  x2[0]
;  if xinx2_3[ib] eq nx2-1:                x[bad[ib]]+xzero >= x2[nx2-1]
;  else                   : x2[xinx2_3] <= x[bad[ib]]+xzero <  x2[xinx3_2+1]
                  xinx2_3 = value_locate(x2, x[bad[ib]]+xzero)
; to avoid the particular case when x2 = x[bad[ib]]+xzero
; and there is no other x2 point until x[bad[ib]+1]
                  xinx2_3 = xinx2_3 < (xinx2_2[ib]-1)
                  IF xinx2_2[ib] GE xinx2_3+1 THEN BEGIN
                    y2[xinx2_3+1:xinx2_2[ib]] $
                      = pure_concave(x[bad[ib]]+xzero, x[bad[ib]+1] $
                                     , yzero, y[bad[ib]+1] $
                                     , yifrst[bad[ib]+1] $
                                     , x2[xinx2_3+1:xinx2_2[ib]])
                  ENDIF
                END
; if y[xinfl] bigger than y[bad[ib]+1] then we conserve y2 from
; the second zero of y2 and before this point we use 1-(1-x)^n and
; ajust n to get the good value: yifrst[bad[ib]] in x[bad[ib]]
                yinfl GT y[bad[ib]+1]:BEGIN
; value of the second zero (y'[xzero]=0)
                  xzero = (-bbb[ib]+sqrt(delta[ib]))/(3.0d*aaa[ib])
; value of y[xzero]...
                  yzero = aaa[ib]*xzero*xzero*xzero + bbb[ib]*xzero*xzero $
                    + ccc[ib]*xzero + ddd[ib]
; if yzero < y[bad[ib]] then we cannot applay the method we want to
; apply => we use then convex-concave case by changing by hand the
; value of yinfl and xinfl
                  IF yzero lt y[bad[ib]] THEN BEGIN
                    yinfl = 0.5d*(y[bad[ib]+1]+y[bad[ib]])
                    xinfl = 0.5d*(x[bad[ib]+1]-x[bad[ib]])
                    GOTO, convexconcave
                  ENDIF
; define xinx2_3: see help of value_locate
;  if xinx2_3[ib] eq -1   :                x[bad[ib]]+xzero <  x2[0]
;  if xinx2_3[ib] eq nx2-1:                x[bad[ib]]+xzero >= x2[nx2-1]
;  else                   : x2[xinx2_3] <= x[bad[ib]]+xzero <  x2[xinx3_2+1]
                  xinx2_3 = value_locate(x2, x[bad[ib]]+xzero)
                  IF xinx2_3 ge xinx2_1[ib]+1 THEN BEGIN
                    y2[xinx2_1[ib]+1:xinx2_3] $
                      = pure_convex(x[bad[ib]], x[bad[ib]]+xzero  $
                                    , y[bad[ib]], yzero   $
                                    , yifrst[bad[ib]] $
                                    , x2[xinx2_1[ib]+1:xinx2_3])
                  ENDIF
                END
                ELSE:BEGIN
convexconcave:
; define xinx2_3: see help of value_locate
;  if xinx2_3[ib] eq -1   :                x[bad[ib]]+xzero <  x2[0]
;  if xinx2_3[ib] eq nx2-1:                x[bad[ib]]+xzero >= x2[nx2-1]
;  else                   : x2[xinx2_3] <= x[bad[ib]]+xzero <  x2[xinx3_2+1]
                  xinx2_3 = value_locate(x2, x[bad[ib]]+xinfl)

                  IF xinx2_3 ge xinx2_1[ib]+1 THEN BEGIN
                    y2[xinx2_1[ib]+1:xinx2_3] $
                      = pure_convex(x[bad[ib]], x[bad[ib]]+xinfl  $
                                    , y[bad[ib]], yinfl  $
                                    , yifrst[bad[ib]] $
                                    , x2[xinx2_1[ib]+1:xinx2_3])

                  ENDIF
                  IF xinx2_2[ib] GE xinx2_3+1 THEN BEGIN
                    y2[xinx2_3+1:xinx2_2[ib]] $
                      = pure_concave(x[bad[ib]]+xinfl, x[bad[ib]+1] $
                                     , yinfl, y[bad[ib]+1] $
                                     , yifrst[bad[ib]+1] $
                                     , x2[xinx2_3+1:xinx2_2[ib]])
                  ENDIF
                END
              ENDCASE

            END
          ENDCASE
        ENDIF
      ENDFOR

    ENDIF
  ENDIF
;
  RETURN, y2
;
;------------------------------------------------------------------
;------------------------------------------------------------------
;
END