source: trunk/sources/ALGLIB/spline3.cs @ 2546

/*************************************************************************
Copyright (c) 2007, Sergey Bochkanov (ALGLIB project).

>>> SOURCE LICENSE >>>
This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation (www.fsf.org); either version 2 of the 
License, or (at your option) any later version.

This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
GNU General Public License for more details.

A copy of the GNU General Public License is available at
http://www.fsf.org/licensing/licenses

>>> END OF LICENSE >>>
*************************************************************************/

using System;

namespace alglib
{
    public class spline3
    {
        /*************************************************************************
        This subroutine builds linear spline coefficients table.

        Input parameters:
            X   -   spline nodes, array[0..N-1]
            Y   -   function values, array[0..N-1]
            N   -   points count, N>=2
            
        Output parameters:
            C   -   coefficients table.  Used  by  SplineInterpolation  and  other
                    subroutines from this file.

          -- ALGLIB PROJECT --
             Copyright 24.06.2007 by Bochkanov Sergey
        *************************************************************************/
        public static void buildlinearspline(double[] x,
            double[] y,
            int n,
            ref double[] c)
        {
            int i = 0;
            int tblsize = 0;

            x = (double[])x.Clone();
            y = (double[])y.Clone();

            System.Diagnostics.Debug.Assert(n>=2, "BuildLinearSpline: N<2!");
            
            //
            // Sort points
            //
            heapsortpoints(ref x, ref y, n);
            
            //
            // Fill C:
            //  C[0]            -   length(C)
            //  C[1]            -   type(C):
            //                      3 - general cubic spline
            //  C[2]            -   N
            //  C[3]...C[3+N-1] -   x[i], i = 0...N-1
            //  C[3+N]...C[3+N+(N-1)*4-1] - coefficients table
            //
            tblsize = 3+n+(n-1)*4;
            c = new double[tblsize-1+1];
            c[0] = tblsize;
            c[1] = 3;
            c[2] = n;
            for(i=0; i<=n-1; i++)
            {
                c[3+i] = x[i];
            }
            for(i=0; i<=n-2; i++)
            {
                c[3+n+4*i+0] = y[i];
                c[3+n+4*i+1] = (y[i+1]-y[i])/(x[i+1]-x[i]);
                c[3+n+4*i+2] = 0;
                c[3+n+4*i+3] = 0;
            }
        }


        /*************************************************************************
        This subroutine builds cubic spline coefficients table.

        Input parameters:
            X           -   spline nodes, array[0..N-1]
            Y           -   function values, array[0..N-1]
            N           -   points count, N>=2
            BoundLType  -   boundary condition type for the left boundary
            BoundL      -   left boundary condition (first or second derivative,
                            depending on the BoundLType)
            BoundRType  -   boundary condition type for the right boundary
            BoundR      -   right boundary condition (first or second derivative,
                            depending on the BoundRType)

        Output parameters:
            C           -   coefficients table.  Used  by  SplineInterpolation and
                            other subroutines from this file.
                            
        The BoundLType/BoundRType parameters can have the following values:
            * 0,   which  corresponds  to  the  parabolically   terminated  spline
              (BoundL/BoundR are ignored).
            * 1, which corresponds to the first derivative boundary condition
            * 2, which corresponds to the second derivative boundary condition

          -- ALGLIB PROJECT --
             Copyright 23.06.2007 by Bochkanov Sergey
        *************************************************************************/
        public static void buildcubicspline(double[] x,
            double[] y,
            int n,
            int boundltype,
            double boundl,
            int boundrtype,
            double boundr,
            ref double[] c)
        {
            double[] a1 = new double[0];
            double[] a2 = new double[0];
            double[] a3 = new double[0];
            double[] b = new double[0];
            double[] d = new double[0];
            int i = 0;
            int tblsize = 0;
            double delta = 0;
            double delta2 = 0;
            double delta3 = 0;

            x = (double[])x.Clone();
            y = (double[])y.Clone();

            System.Diagnostics.Debug.Assert(n>=2, "BuildCubicSpline: N<2!");
            System.Diagnostics.Debug.Assert(boundltype==0 | boundltype==1 | boundltype==2, "BuildCubicSpline: incorrect BoundLType!");
            System.Diagnostics.Debug.Assert(boundrtype==0 | boundrtype==1 | boundrtype==2, "BuildCubicSpline: incorrect BoundRType!");
            a1 = new double[n-1+1];
            a2 = new double[n-1+1];
            a3 = new double[n-1+1];
            b = new double[n-1+1];
            
            //
            // Special case:
            // * N=2
            // * parabolic terminated boundary condition on both ends
            //
            if( n==2 & boundltype==0 & boundrtype==0 )
            {
                
                //
                // Change task type
                //
                boundltype = 2;
                boundl = 0;
                boundrtype = 2;
                boundr = 0;
            }
            
            //
            //
            // Sort points
            //
            heapsortpoints(ref x, ref y, n);
            
            //
            // Left boundary conditions
            //
            if( boundltype==0 )
            {
                a1[0] = 0;
                a2[0] = 1;
                a3[0] = 1;
                b[0] = 2*(y[1]-y[0])/(x[1]-x[0]);
            }
            if( boundltype==1 )
            {
                a1[0] = 0;
                a2[0] = 1;
                a3[0] = 0;
                b[0] = boundl;
            }
            if( boundltype==2 )
            {
                a1[0] = 0;
                a2[0] = 2;
                a3[0] = 1;
                b[0] = 3*(y[1]-y[0])/(x[1]-x[0])-0.5*boundl*(x[1]-x[0]);
            }
            
            //
            // Central conditions
            //
            for(i=1; i<=n-2; i++)
            {
                a1[i] = x[i+1]-x[i];
                a2[i] = 2*(x[i+1]-x[i-1]);
                a3[i] = x[i]-x[i-1];
                b[i] = 3*(y[i]-y[i-1])/(x[i]-x[i-1])*(x[i+1]-x[i])+3*(y[i+1]-y[i])/(x[i+1]-x[i])*(x[i]-x[i-1]);
            }
            
            //
            // Right boundary conditions
            //
            if( boundrtype==0 )
            {
                a1[n-1] = 1;
                a2[n-1] = 1;
                a3[n-1] = 0;
                b[n-1] = 2*(y[n-1]-y[n-2])/(x[n-1]-x[n-2]);
            }
            if( boundrtype==1 )
            {
                a1[n-1] = 0;
                a2[n-1] = 1;
                a3[n-1] = 0;
                b[n-1] = boundr;
            }
            if( boundrtype==2 )
            {
                a1[n-1] = 1;
                a2[n-1] = 2;
                a3[n-1] = 0;
                b[n-1] = 3*(y[n-1]-y[n-2])/(x[n-1]-x[n-2])+0.5*boundr*(x[n-1]-x[n-2]);
            }
            
            //
            // Solve
            //
            solvetridiagonal(a1, a2, a3, b, n, ref d);
            
            //
            // Now problem is reduced to the cubic Hermite spline
            //
            buildhermitespline(x, y, d, n, ref c);
        }


        /*************************************************************************
        This subroutine builds cubic Hermite spline coefficients table.

        Input parameters:
            X           -   spline nodes, array[0..N-1]
            Y           -   function values, array[0..N-1]
            D           -   derivatives, array[0..N-1]
            N           -   points count, N>=2

        Output parameters:
            C           -   coefficients table.  Used  by  SplineInterpolation and
                            other subroutines from this file.

          -- ALGLIB PROJECT --
             Copyright 23.06.2007 by Bochkanov Sergey
        *************************************************************************/
        public static void buildhermitespline(double[] x,
            double[] y,
            double[] d,
            int n,
            ref double[] c)
        {
            int i = 0;
            int tblsize = 0;
            double delta = 0;
            double delta2 = 0;
            double delta3 = 0;

            x = (double[])x.Clone();
            y = (double[])y.Clone();
            d = (double[])d.Clone();

            System.Diagnostics.Debug.Assert(n>=2, "BuildHermiteSpline: N<2!");
            
            //
            // Sort points
            //
            heapsortdpoints(ref x, ref y, ref d, n);
            
            //
            // Fill C:
            //  C[0]            -   length(C)
            //  C[1]            -   type(C):
            //                      3 - general cubic spline
            //  C[2]            -   N
            //  C[3]...C[3+N-1] -   x[i], i = 0...N-1
            //  C[3+N]...C[3+N+(N-1)*4-1] - coefficients table
            //
            tblsize = 3+n+(n-1)*4;
            c = new double[tblsize-1+1];
            c[0] = tblsize;
            c[1] = 3;
            c[2] = n;
            for(i=0; i<=n-1; i++)
            {
                c[3+i] = x[i];
            }
            for(i=0; i<=n-2; i++)
            {
                delta = x[i+1]-x[i];
                delta2 = AP.Math.Sqr(delta);
                delta3 = delta*delta2;
                c[3+n+4*i+0] = y[i];
                c[3+n+4*i+1] = d[i];
                c[3+n+4*i+2] = (3*(y[i+1]-y[i])-2*d[i]*delta-d[i+1]*delta)/delta2;
                c[3+n+4*i+3] = (2*(y[i]-y[i+1])+d[i]*delta+d[i+1]*delta)/delta3;
            }
        }


        /*************************************************************************
        This subroutine builds Akima spline coefficients table.

        Input parameters:
            X           -   spline nodes, array[0..N-1]
            Y           -   function values, array[0..N-1]
            N           -   points count, N>=5

        Output parameters:
            C           -   coefficients table.  Used  by  SplineInterpolation and
                            other subroutines from this file.

          -- ALGLIB PROJECT --
             Copyright 24.06.2007 by Bochkanov Sergey
        *************************************************************************/
        public static void buildakimaspline(double[] x,
            double[] y,
            int n,
            ref double[] c)
        {
            int i = 0;
            double[] d = new double[0];
            double[] w = new double[0];
            double[] diff = new double[0];

            x = (double[])x.Clone();
            y = (double[])y.Clone();

            System.Diagnostics.Debug.Assert(n>=5, "BuildAkimaSpline: N<5!");
            
            //
            // Sort points
            //
            heapsortpoints(ref x, ref y, n);
            
            //
            // Prepare W (weights), Diff (divided differences)
            //
            w = new double[n-2+1];
            diff = new double[n-2+1];
            for(i=0; i<=n-2; i++)
            {
                diff[i] = (y[i+1]-y[i])/(x[i+1]-x[i]);
            }
            for(i=1; i<=n-2; i++)
            {
                w[i] = Math.Abs(diff[i]-diff[i-1]);
            }
            
            //
            // Prepare Hermite interpolation scheme
            //
            d = new double[n-1+1];
            for(i=2; i<=n-3; i++)
            {
                if( Math.Abs(w[i-1])+Math.Abs(w[i+1])!=0 )
                {
                    d[i] = (w[i+1]*diff[i-1]+w[i-1]*diff[i])/(w[i+1]+w[i-1]);
                }
                else
                {
                    d[i] = ((x[i+1]-x[i])*diff[i-1]+(x[i]-x[i-1])*diff[i])/(x[i+1]-x[i-1]);
                }
            }
            d[0] = diffthreepoint(x[0], x[0], y[0], x[1], y[1], x[2], y[2]);
            d[1] = diffthreepoint(x[1], x[0], y[0], x[1], y[1], x[2], y[2]);
            d[n-2] = diffthreepoint(x[n-2], x[n-3], y[n-3], x[n-2], y[n-2], x[n-1], y[n-1]);
            d[n-1] = diffthreepoint(x[n-1], x[n-3], y[n-3], x[n-2], y[n-2], x[n-1], y[n-1]);
            
            //
            // Build Akima spline using Hermite interpolation scheme
            //
            buildhermitespline(x, y, d, n, ref c);
        }


        /*************************************************************************
        This subroutine calculates the value of the spline at the given point X.

        Input parameters:
            C           -   coefficients table. Built by BuildLinearSpline,
                            BuildHermiteSpline, BuildCubicSpline, BuildAkimaSpline.
            X           -   point

        Result:
            S(x)

          -- ALGLIB PROJECT --
             Copyright 23.06.2007 by Bochkanov Sergey
        *************************************************************************/
        public static double splineinterpolation(ref double[] c,
            double x)
        {
            double result = 0;
            int n = 0;
            int l = 0;
            int r = 0;
            int m = 0;

            System.Diagnostics.Debug.Assert((int)Math.Round(c[1])==3, "SplineInterpolation: incorrect C!");
            n = (int)Math.Round(c[2]);
            
            //
            // Binary search in the [ x[0], ..., x[n-2] ] (x[n-1] is not included)
            //
            l = 3;
            r = 3+n-2+1;
            while( l!=r-1 )
            {
                m = (l+r)/2;
                if( c[m]>=x )
                {
                    r = m;
                }
                else
                {
                    l = m;
                }
            }
            
            //
            // Interpolation
            //
            x = x-c[l];
            m = 3+n+4*(l-3);
            result = c[m]+x*(c[m+1]+x*(c[m+2]+x*c[m+3]));
            return result;
        }


        /*************************************************************************
        This subroutine differentiates the spline.

        Input parameters:
            C   -   coefficients table. Built by BuildLinearSpline,
                    BuildHermiteSpline, BuildCubicSpline, BuildAkimaSpline.
            X   -   point

        Result:
            S   -   S(x)
            DS  -   S'(x)
            D2S -   S''(x)

          -- ALGLIB PROJECT --
             Copyright 24.06.2007 by Bochkanov Sergey
        *************************************************************************/
        public static void splinedifferentiation(ref double[] c,
            double x,
            ref double s,
            ref double ds,
            ref double d2s)
        {
            int n = 0;
            int l = 0;
            int r = 0;
            int m = 0;

            System.Diagnostics.Debug.Assert((int)Math.Round(c[1])==3, "SplineInterpolation: incorrect C!");
            n = (int)Math.Round(c[2]);
            
            //
            // Binary search
            //
            l = 3;
            r = 3+n-2+1;
            while( l!=r-1 )
            {
                m = (l+r)/2;
                if( c[m]>=x )
                {
                    r = m;
                }
                else
                {
                    l = m;
                }
            }
            
            //
            // Differentiation
            //
            x = x-c[l];
            m = 3+n+4*(l-3);
            s = c[m]+x*(c[m+1]+x*(c[m+2]+x*c[m+3]));
            ds = c[m+1]+2*x*c[m+2]+3*AP.Math.Sqr(x)*c[m+3];
            d2s = 2*c[m+2]+6*x*c[m+3];
        }


        /*************************************************************************
        This subroutine makes the copy of the spline.

        Input parameters:
            C   -   coefficients table. Built by BuildLinearSpline,
                    BuildHermiteSpline, BuildCubicSpline, BuildAkimaSpline.

        Result:
            CC  -   spline copy

          -- ALGLIB PROJECT --
             Copyright 29.06.2007 by Bochkanov Sergey
        *************************************************************************/
        public static void splinecopy(ref double[] c,
            ref double[] cc)
        {
            int s = 0;
            int i_ = 0;

            s = (int)Math.Round(c[0]);
            cc = new double[s-1+1];
            for(i_=0; i_<=s-1;i_++)
            {
                cc[i_] = c[i_];
            }
        }


        /*************************************************************************
        This subroutine unpacks the spline into the coefficients table.

        Input parameters:
            C   -   coefficients table. Built by BuildLinearSpline,
                    BuildHermiteSpline, BuildCubicSpline, BuildAkimaSpline.
            X   -   point

        Result:
            Tbl -   coefficients table, unpacked format, array[0..N-2, 0..5].
                    For I = 0...N-2:
                        Tbl[I,0] = X[i]
                        Tbl[I,1] = X[i+1]
                        Tbl[I,2] = C0
                        Tbl[I,3] = C1
                        Tbl[I,4] = C2
                        Tbl[I,5] = C3
                    On [x[i], x[i+1]] spline is equals to:
                        S(x) = C0 + C1*t + C2*t^2 + C3*t^3
                        t = x-x[i]

          -- ALGLIB PROJECT --
             Copyright 29.06.2007 by Bochkanov Sergey
        *************************************************************************/
        public static void splineunpack(ref double[] c,
            ref int n,
            ref double[,] tbl)
        {
            int i = 0;

            System.Diagnostics.Debug.Assert((int)Math.Round(c[1])==3, "SplineUnpack: incorrect C!");
            n = (int)Math.Round(c[2]);
            tbl = new double[n-2+1, 5+1];
            
            //
            // Fill
            //
            for(i=0; i<=n-2; i++)
            {
                tbl[i,0] = c[3+i];
                tbl[i,1] = c[3+i+1];
                tbl[i,2] = c[3+n+4*i];
                tbl[i,3] = c[3+n+4*i+1];
                tbl[i,4] = c[3+n+4*i+2];
                tbl[i,5] = c[3+n+4*i+3];
            }
        }


        /*************************************************************************
        This subroutine performs linear transformation of the spline argument.

        Input parameters:
            C   -   coefficients table. Built by BuildLinearSpline,
                    BuildHermiteSpline, BuildCubicSpline, BuildAkimaSpline.
            A, B-   transformation coefficients: x = A*t + B
        Result:
            C   -   transformed spline

          -- ALGLIB PROJECT --
             Copyright 30.06.2007 by Bochkanov Sergey
        *************************************************************************/
        public static void splinelintransx(ref double[] c,
            double a,
            double b)
        {
            int i = 0;
            int n = 0;
            double v = 0;
            double dv = 0;
            double d2v = 0;
            double[] x = new double[0];
            double[] y = new double[0];
            double[] d = new double[0];

            System.Diagnostics.Debug.Assert((int)Math.Round(c[1])==3, "SplineLinTransX: incorrect C!");
            n = (int)Math.Round(c[2]);
            
            //
            // Special case: A=0
            //
            if( a==0 )
            {
                v = splineinterpolation(ref c, b);
                for(i=0; i<=n-2; i++)
                {
                    c[3+n+4*i] = v;
                    c[3+n+4*i+1] = 0;
                    c[3+n+4*i+2] = 0;
                    c[3+n+4*i+3] = 0;
                }
                return;
            }
            
            //
            // General case: A<>0.
            // Unpack, X, Y, dY/dX.
            // Scale and pack again.
            //
            x = new double[n-1+1];
            y = new double[n-1+1];
            d = new double[n-1+1];
            for(i=0; i<=n-1; i++)
            {
                x[i] = c[3+i];
                splinedifferentiation(ref c, x[i], ref v, ref dv, ref d2v);
                x[i] = (x[i]-b)/a;
                y[i] = v;
                d[i] = a*dv;
            }
            buildhermitespline(x, y, d, n, ref c);
        }


        /*************************************************************************
        This subroutine performs linear transformation of the spline.

        Input parameters:
            C   -   coefficients table. Built by BuildLinearSpline,
                    BuildHermiteSpline, BuildCubicSpline, BuildAkimaSpline.
            A, B-   transformation coefficients: S2(x) = A*S(x) + B
        Result:
            C   -   transformed spline

          -- ALGLIB PROJECT --
             Copyright 30.06.2007 by Bochkanov Sergey
        *************************************************************************/
        public static void splinelintransy(ref double[] c,
            double a,
            double b)
        {
            int i = 0;
            int n = 0;
            double v = 0;
            double dv = 0;
            double d2v = 0;
            double[] x = new double[0];
            double[] y = new double[0];
            double[] d = new double[0];

            System.Diagnostics.Debug.Assert((int)Math.Round(c[1])==3, "SplineLinTransX: incorrect C!");
            n = (int)Math.Round(c[2]);
            
            //
            // Special case: A=0
            //
            for(i=0; i<=n-2; i++)
            {
                c[3+n+4*i] = a*c[3+n+4*i]+b;
                c[3+n+4*i+1] = a*c[3+n+4*i+1];
                c[3+n+4*i+2] = a*c[3+n+4*i+2];
                c[3+n+4*i+3] = a*c[3+n+4*i+3];
            }
        }


        /*************************************************************************
        This subroutine integrates the spline.

        Input parameters:
            C   -   coefficients table. Built by BuildLinearSpline,
                    BuildHermiteSpline, BuildCubicSpline, BuildAkimaSpline.
            X   -   right bound of the integration interval [a, x]
        Result:
            integral(S(t)dt,a,x)

          -- ALGLIB PROJECT --
             Copyright 23.06.2007 by Bochkanov Sergey
        *************************************************************************/
        public static double splineintegration(ref double[] c,
            double x)
        {
            double result = 0;
            int n = 0;
            int i = 0;
            int l = 0;
            int r = 0;
            int m = 0;
            double w = 0;

            System.Diagnostics.Debug.Assert((int)Math.Round(c[1])==3, "SplineIntegration: incorrect C!");
            n = (int)Math.Round(c[2]);
            
            //
            // Binary search in the [ x[0], ..., x[n-2] ] (x[n-1] is not included)
            //
            l = 3;
            r = 3+n-2+1;
            while( l!=r-1 )
            {
                m = (l+r)/2;
                if( c[m]>=x )
                {
                    r = m;
                }
                else
                {
                    l = m;
                }
            }
            
            //
            // Integration
            //
            result = 0;
            for(i=3; i<=l-1; i++)
            {
                w = c[i+1]-c[i];
                m = 3+n+4*(i-3);
                result = result+c[m]*w;
                result = result+c[m+1]*AP.Math.Sqr(w)/2;
                result = result+c[m+2]*AP.Math.Sqr(w)*w/3;
                result = result+c[m+3]*AP.Math.Sqr(AP.Math.Sqr(w))/4;
            }
            w = x-c[l];
            m = 3+n+4*(l-3);
            result = result+c[m]*w;
            result = result+c[m+1]*AP.Math.Sqr(w)/2;
            result = result+c[m+2]*AP.Math.Sqr(w)*w/3;
            result = result+c[m+3]*AP.Math.Sqr(AP.Math.Sqr(w))/4;
            return result;
        }


        /*************************************************************************
        Obsolete subroutine, left for backward compatibility.
        *************************************************************************/
        public static void spline3buildtable(int n,
            int diffn,
            double[] x,
            double[] y,
            double boundl,
            double boundr,
            ref double[,] ctbl)
        {
            bool c = new bool();
            int e = 0;
            int g = 0;
            double tmp = 0;
            int nxm1 = 0;
            int i = 0;
            int j = 0;
            double dx = 0;
            double dxj = 0;
            double dyj = 0;
            double dxjp1 = 0;
            double dyjp1 = 0;
            double dxp = 0;
            double dyp = 0;
            double yppa = 0;
            double yppb = 0;
            double pj = 0;
            double b1 = 0;
            double b2 = 0;
            double b3 = 0;
            double b4 = 0;

            x = (double[])x.Clone();
            y = (double[])y.Clone();

            n = n-1;
            g = (n+1)/2;
            do
            {
                i = g;
                do
                {
                    j = i-g;
                    c = true;
                    do
                    {
                        if( x[j]<=x[j+g] )
                        {
                            c = false;
                        }
                        else
                        {
                            tmp = x[j];
                            x[j] = x[j+g];
                            x[j+g] = tmp;
                            tmp = y[j];
                            y[j] = y[j+g];
                            y[j+g] = tmp;
                        }
                        j = j-1;
                    }
                    while( j>=0 & c );
                    i = i+1;
                }
                while( i<=n );
                g = g/2;
            }
            while( g>0 );
            ctbl = new double[4+1, n+1];
            n = n+1;
            if( diffn==1 )
            {
                b1 = 1;
                b2 = 6/(x[1]-x[0])*((y[1]-y[0])/(x[1]-x[0])-boundl);
                b3 = 1;
                b4 = 6/(x[n-1]-x[n-2])*(boundr-(y[n-1]-y[n-2])/(x[n-1]-x[n-2]));
            }
            else
            {
                b1 = 0;
                b2 = 2*boundl;
                b3 = 0;
                b4 = 2*boundr;
            }
            nxm1 = n-1;
            if( n>=2 )
            {
                if( n>2 )
                {
                    dxj = x[1]-x[0];
                    dyj = y[1]-y[0];
                    j = 2;
                    while( j<=nxm1 )
                    {
                        dxjp1 = x[j]-x[j-1];
                        dyjp1 = y[j]-y[j-1];
                        dxp = dxj+dxjp1;
                        ctbl[1,j-1] = dxjp1/dxp;
                        ctbl[2,j-1] = 1-ctbl[1,j-1];
                        ctbl[3,j-1] = 6*(dyjp1/dxjp1-dyj/dxj)/dxp;
                        dxj = dxjp1;
                        dyj = dyjp1;
                        j = j+1;
                    }
                }
                ctbl[1,0] = -(b1/2);
                ctbl[2,0] = b2/2;
                if( n!=2 )
                {
                    j = 2;
                    while( j<=nxm1 )
                    {
                        pj = ctbl[2,j-1]*ctbl[1,j-2]+2;
                        ctbl[1,j-1] = -(ctbl[1,j-1]/pj);
                        ctbl[2,j-1] = (ctbl[3,j-1]-ctbl[2,j-1]*ctbl[2,j-2])/pj;
                        j = j+1;
                    }
                }
                yppb = (b4-b3*ctbl[2,nxm1-1])/(b3*ctbl[1,nxm1-1]+2);
                i = 1;
                while( i<=nxm1 )
                {
                    j = n-i;
                    yppa = ctbl[1,j-1]*yppb+ctbl[2,j-1];
                    dx = x[j]-x[j-1];
                    ctbl[3,j-1] = (yppb-yppa)/dx/6;
                    ctbl[2,j-1] = yppa/2;
                    ctbl[1,j-1] = (y[j]-y[j-1])/dx-(ctbl[2,j-1]+ctbl[3,j-1]*dx)*dx;
                    yppb = yppa;
                    i = i+1;
                }
                for(i=1; i<=n; i++)
                {
                    ctbl[0,i-1] = y[i-1];
                    ctbl[4,i-1] = x[i-1];
                }
            }
        }


        /*************************************************************************
        Obsolete subroutine, left for backward compatibility.
        *************************************************************************/
        public static double spline3interpolate(int n,
            ref double[,] c,
            double x)
        {
            double result = 0;
            int i = 0;
            int l = 0;
            int half = 0;
            int first = 0;
            int middle = 0;

            n = n-1;
            l = n;
            first = 0;
            while( l>0 )
            {
                half = l/2;
                middle = first+half;
                if( c[4,middle]<x )
                {
                    first = middle+1;
                    l = l-half-1;
                }
                else
                {
                    l = half;
                }
            }
            i = first-1;
            if( i<0 )
            {
                i = 0;
            }
            result = c[0,i]+(x-c[4,i])*(c[1,i]+(x-c[4,i])*(c[2,i]+c[3,i]*(x-c[4,i])));
            return result;
        }


        /*************************************************************************
        Internal subroutine. Heap sort.
        *************************************************************************/
        private static void heapsortpoints(ref double[] x,
            ref double[] y,
            int n)
        {
            int i = 0;
            int j = 0;
            int k = 0;
            int t = 0;
            double tmp = 0;
            bool isascending = new bool();
            bool isdescending = new bool();

            
            //
            // Test for already sorted set
            //
            isascending = true;
            isdescending = true;
            for(i=1; i<=n-1; i++)
            {
                isascending = isascending & x[i]>x[i-1];
                isdescending = isdescending & x[i]<x[i-1];
            }
            if( isascending )
            {
                return;
            }
            if( isdescending )
            {
                for(i=0; i<=n-1; i++)
                {
                    j = n-1-i;
                    if( j<=i )
                    {
                        break;
                    }
                    tmp = x[i];
                    x[i] = x[j];
                    x[j] = tmp;
                    tmp = y[i];
                    y[i] = y[j];
                    y[j] = tmp;
                }
                return;
            }
            
            //
            // Special case: N=1
            //
            if( n==1 )
            {
                return;
            }
            
            //
            // General case
            //
            i = 2;
            do
            {
                t = i;
                while( t!=1 )
                {
                    k = t/2;
                    if( x[k-1]>=x[t-1] )
                    {
                        t = 1;
                    }
                    else
                    {
                        tmp = x[k-1];
                        x[k-1] = x[t-1];
                        x[t-1] = tmp;
                        tmp = y[k-1];
                        y[k-1] = y[t-1];
                        y[t-1] = tmp;
                        t = k;
                    }
                }
                i = i+1;
            }
            while( i<=n );
            i = n-1;
            do
            {
                tmp = x[i];
                x[i] = x[0];
                x[0] = tmp;
                tmp = y[i];
                y[i] = y[0];
                y[0] = tmp;
                t = 1;
                while( t!=0 )
                {
                    k = 2*t;
                    if( k>i )
                    {
                        t = 0;
                    }
                    else
                    {
                        if( k<i )
                        {
                            if( x[k]>x[k-1] )
                            {
                                k = k+1;
                            }
                        }
                        if( x[t-1]>=x[k-1] )
                        {
                            t = 0;
                        }
                        else
                        {
                            tmp = x[k-1];
                            x[k-1] = x[t-1];
                            x[t-1] = tmp;
                            tmp = y[k-1];
                            y[k-1] = y[t-1];
                            y[t-1] = tmp;
                            t = k;
                        }
                    }
                }
                i = i-1;
            }
            while( i>=1 );
        }


        /*************************************************************************
        Internal subroutine. Heap sort.
        *************************************************************************/
        private static void heapsortdpoints(ref double[] x,
            ref double[] y,
            ref double[] d,
            int n)
        {
            int i = 0;
            int j = 0;
            int k = 0;
            int t = 0;
            double tmp = 0;
            bool isascending = new bool();
            bool isdescending = new bool();

            
            //
            // Test for already sorted set
            //
            isascending = true;
            isdescending = true;
            for(i=1; i<=n-1; i++)
            {
                isascending = isascending & x[i]>x[i-1];
                isdescending = isdescending & x[i]<x[i-1];
            }
            if( isascending )
            {
                return;
            }
            if( isdescending )
            {
                for(i=0; i<=n-1; i++)
                {
                    j = n-1-i;
                    if( j<=i )
                    {
                        break;
                    }
                    tmp = x[i];
                    x[i] = x[j];
                    x[j] = tmp;
                    tmp = y[i];
                    y[i] = y[j];
                    y[j] = tmp;
                    tmp = d[i];
                    d[i] = d[j];
                    d[j] = tmp;
                }
                return;
            }
            
            //
            // Special case: N=1
            //
            if( n==1 )
            {
                return;
            }
            
            //
            // General case
            //
            i = 2;
            do
            {
                t = i;
                while( t!=1 )
                {
                    k = t/2;
                    if( x[k-1]>=x[t-1] )
                    {
                        t = 1;
                    }
                    else
                    {
                        tmp = x[k-1];
                        x[k-1] = x[t-1];
                        x[t-1] = tmp;
                        tmp = y[k-1];
                        y[k-1] = y[t-1];
                        y[t-1] = tmp;
                        tmp = d[k-1];
                        d[k-1] = d[t-1];
                        d[t-1] = tmp;
                        t = k;
                    }
                }
                i = i+1;
            }
            while( i<=n );
            i = n-1;
            do
            {
                tmp = x[i];
                x[i] = x[0];
                x[0] = tmp;
                tmp = y[i];
                y[i] = y[0];
                y[0] = tmp;
                tmp = d[i];
                d[i] = d[0];
                d[0] = tmp;
                t = 1;
                while( t!=0 )
                {
                    k = 2*t;
                    if( k>i )
                    {
                        t = 0;
                    }
                    else
                    {
                        if( k<i )
                        {
                            if( x[k]>x[k-1] )
                            {
                                k = k+1;
                            }
                        }
                        if( x[t-1]>=x[k-1] )
                        {
                            t = 0;
                        }
                        else
                        {
                            tmp = x[k-1];
                            x[k-1] = x[t-1];
                            x[t-1] = tmp;
                            tmp = y[k-1];
                            y[k-1] = y[t-1];
                            y[t-1] = tmp;
                            tmp = d[k-1];
                            d[k-1] = d[t-1];
                            d[t-1] = tmp;
                            t = k;
                        }
                    }
                }
                i = i-1;
            }
            while( i>=1 );
        }


        /*************************************************************************
        Internal subroutine. Tridiagonal solver.
        *************************************************************************/
        private static void solvetridiagonal(double[] a,
            double[] b,
            double[] c,
            double[] d,
            int n,
            ref double[] x)
        {
            int k = 0;
            double t = 0;

            a = (double[])a.Clone();
            b = (double[])b.Clone();
            c = (double[])c.Clone();
            d = (double[])d.Clone();

            x = new double[n-1+1];
            a[0] = 0;
            c[n-1] = 0;
            for(k=1; k<=n-1; k++)
            {
                t = a[k]/b[k-1];
                b[k] = b[k]-t*c[k-1];
                d[k] = d[k]-t*d[k-1];
            }
            x[n-1] = d[n-1]/b[n-1];
            for(k=n-2; k>=0; k--)
            {
                x[k] = (d[k]-c[k]*x[k+1])/b[k];
            }
        }


        /*************************************************************************
        Internal subroutine. Three-point differentiation
        *************************************************************************/
        private static double diffthreepoint(double t,
            double x0,
            double f0,
            double x1,
            double f1,
            double x2,
            double f2)
        {
            double result = 0;
            double a = 0;
            double b = 0;

            t = t-x0;
            x1 = x1-x0;
            x2 = x2-x0;
            a = (f2-f0-x2/x1*(f1-f0))/(AP.Math.Sqr(x2)-x1*x2);
            b = (f1-f0-a*AP.Math.Sqr(x1))/x1;
            result = 2*a*t+b;
            return result;
        }
    }
}