Ejemplo n.º 1
0
        /// <summary>
        /// Fit the input x,y points using a 'geometric' strategy so that y does not have to be a single-valued
        /// function of x.
        /// </summary>
        /// <param name="x">Input x coordinates.</param>
        /// <param name="y">Input y coordinates, do not need to be a single-valued function of x.</param>
        /// <param name="nOutputPoints">How many output points to create.</param>
        /// <param name="xs">Output (interpolated) x values.</param>
        /// <param name="ys">Output (interpolated) y values.</param>
        public static void FitGeometric(float[] x, float[] y, int nOutputPoints, out float[] xs, out float[] ys)
        {
            // Compute distances
            int n = x.Length;
            float[] dists = new float[n]; // cumulative distance
            dists[0] = 0;
            float totalDist = 0;

            for (int i = 1; i < n; i++)
            {
                float dx = x[i] - x[i - 1];
                float dy = y[i] - y[i - 1];
                float dist = (float)Math.Sqrt(dx * dx + dy * dy);
                totalDist += dist;
                dists[i] = totalDist;
            }

            // Create 'times' to interpolate to
            float dt = totalDist / (nOutputPoints - 1);
            float[] times = new float[nOutputPoints];
            times[0] = 0;

            for (int i = 1; i < nOutputPoints; i++)
            {
                times[i] = times[i - 1] + dt;
            }

            // Spline fit both x and y to times
            CubicSpline xSpline = new CubicSpline();
            xs = xSpline.FitAndEval(dists, x, times);

            CubicSpline ySpline = new CubicSpline();
            ys = ySpline.FitAndEval(dists, y, times);
        }
Ejemplo n.º 2
0
        /// <summary>
        /// Static all-in-one method to fit the splines and evaluate at X coordinates.
        /// </summary>
        /// <param name="x">Input. X coordinates to fit.</param>
        /// <param name="y">Input. Y coordinates to fit.</param>
        /// <param name="xs">Input. X coordinates to evaluate the fitted curve at.</param>
        /// <param name="startSlope">Optional slope constraint for the first point. Single.NaN means no constraint.</param>
        /// <param name="endSlope">Optional slope constraint for the final point. Single.NaN means no constraint.</param>
        /// <returns>The computed y values for each xs.</returns>
        public static float[] Compute(float[] x, float[] y, float[] xs, float startSlope = float.NaN, float endSlope = float.NaN)
        {
            CubicSpline spline = new CubicSpline();

            return(spline.FitAndEval(x, y, xs, startSlope, endSlope));
        }
Ejemplo n.º 3
0
 /// <summary>
 /// Static all-in-one method to fit the splines and evaluate at X coordinates.
 /// </summary>
 /// <param name="x">Input. X coordinates to fit.</param>
 /// <param name="y">Input. Y coordinates to fit.</param>
 /// <param name="xs">Input. X coordinates to evaluate the fitted curve at.</param>
 /// <param name="startSlope">Optional slope constraint for the first point. Single.NaN means no constraint.</param>
 /// <param name="endSlope">Optional slope constraint for the final point. Single.NaN means no constraint.</param>
 /// <returns>The computed y values for each xs.</returns>
 public static float[] Compute(float[] x, float[] y, float[] xs, float startSlope = float.NaN, float endSlope = float.NaN )
 {
     CubicSpline spline = new CubicSpline();
     return spline.FitAndEval(x, y, xs, startSlope, endSlope );
 }