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package com.graphbuilder.curve;

/**

The natural-cubic-spline is constructed using piecewise third order polynomials which pass through all the control-points specified by the group-iterator. The curve can be open or closed. Figure 1 shows an open curve and figure 2 shows a closed curve.

*/ public class NaturalCubicSpline extends ParametricCurve { /* The pt array stores the points of the control-path. The data array is used to store the result of the many calculations. d[0] = w1 For each dimension, 4 arrays are required to store the d[1] = x1 results of the calculations. d[2] = y1 The length of each array is >= to the number of points. d[3] = z1 d[4] = w2 d[5] = x2 d[6] = y2 d[7] = z2 d[8] = a // a, b & c are used (by both open and closed) to store d[9] = b // the results of the calculations. d[10] = c d[11] = d // only used for closed cubic curves */ private static final ThreadLocal SHARED_DATA = new ThreadLocal(){ protected SharedData initialValue() { return new SharedData(); } }; private final SharedData sharedData = SHARED_DATA.get(); private static class SharedData { private double[][] pt = new double[0][]; private double[][] data = new double[0][]; private int ci = 0; } private boolean closed = false; public NaturalCubicSpline(ControlPath cp, GroupIterator gi) { super(cp, gi); } protected void eval(double[] p) { int n = p.length - 1; // dimension double t = p[n]; double t2 = t * t; double t3 = t2 * t; int j = 0; for (int i = 0; i < n; i++) p[i] = sharedData.data[j++][sharedData.ci] + sharedData.data[j++][sharedData.ci] * t + sharedData.data[j++][sharedData.ci] * t2 + sharedData.data[j++][sharedData.ci] * t3; } // n is the # of points // dim is the dimension private void precalc(int n, int dim, boolean closed) { n--; double[] a = sharedData.data[4 * dim]; double[] b = sharedData.data[4 * dim + 1]; double[] c = sharedData.data[4 * dim + 2]; int k = 0; if (closed) { double[] d = sharedData.data[4 * dim + 3]; double e, f, g, h; for (int j = 0; j < dim; j++) { d[1] = a[1] = e = 0.25; b[0] = e * 3 * (sharedData.pt[1][j] - sharedData.pt[n][j]); h = 4; f = 3 * (sharedData.pt[0][j] - sharedData.pt[n-1][j]); g = 1; for (int i = 1; i < n; i++) { a[i+1] = e = 1.0 / (4.0 - a[i]); d[i+1] = -e * d[i]; b[i] = e * (3.0 * (sharedData.pt[i+1][j] - sharedData.pt[i-1][j]) - b[i-1]); h = h - g * d[i]; f = f - g * b[i-1]; g = -a[i] * g; } h = h - (g + 1) * (a[n] + d[n]); b[n] = f - (g + 1) * b[n-1]; c[n] = b[n] / h; c[n-1] = b[n-1] - (a[n] + d[n]) * c[n]; for (int i = n-2; i >= 0; i--) { c[i] = b[i] - a[i+1] * c[i+1] - d[i+1] * c[n]; } double[] w = sharedData.data[k++]; double[] x = sharedData.data[k++]; double[] y = sharedData.data[k++]; double[] z = sharedData.data[k++]; for (int i = 0; i < n; i++) { w[i] = sharedData.pt[i][j]; x[i] = c[i]; y[i] = 3 * (sharedData.pt[i+1][j] - sharedData.pt[i][j]) - 2 * c[i] - c[i+1]; z[i] = 2 * (sharedData.pt[i][j] - sharedData.pt[i+1][j]) + c[i] + c[i+1]; } w[n] = sharedData.pt[n][j]; x[n] = c[n]; y[n] = 3 * (sharedData.pt[0][j] - sharedData.pt[n][j]) - 2 * c[n] - c[0]; z[n] = 2 * (sharedData.pt[n][j] - sharedData.pt[0][j]) + c[n] + c[0]; } } else { for (int j = 0; j < dim; j++) { a[0] = 0.5; for (int i = 1; i < n; i++) { a[i] = 1.0 / (4 - a[i-1]); } a[n] = 1.0 / (2.0 - a[n-1]); b[0] = a[0] * (3 * (sharedData.pt[1][j] - sharedData.pt[0][j])); for (int i = 1; i < n; i++) { b[i] = a[i] * (3 * (sharedData.pt[i+1][j] - sharedData.pt[i-1][j]) - b[i-1]); } b[n] = a[n] * (3 * (sharedData.pt[n][j] - sharedData.pt[n-1][j]) - b[n-1]); c[n] = b[n]; for (int i = n-1; i >= 0; i--) { c[i] = b[i] - a[i] * c[i+1]; } double[] w = sharedData.data[k++]; double[] x = sharedData.data[k++]; double[] y = sharedData.data[k++]; double[] z = sharedData.data[k++]; for (int i = 0; i < n; i++) { w[i] = sharedData.pt[i][j]; x[i] = c[i]; y[i] = 3 * (sharedData.pt[i+1][j] - sharedData.pt[i][j]) - 2 * c[i] - c[i+1]; z[i] = 2 * (sharedData.pt[i][j] - sharedData.pt[i+1][j]) + c[i] + c[i+1]; } w[n] = sharedData.pt[n][j]; x[n] = 0; y[n] = 0; z[n] = 0; } } } /** The closed attribute determines which tri-diagonal matrix to solve. @see #getClosed() */ public void setClosed(boolean b) { closed = b; } /** Returns the value of closed. The default value is false. @see #setClosed(boolean) */ public boolean getClosed() { return closed; } /** Returns a value of 1. */ public int getSampleLimit() { return 1; } /** The requirements for this curve are the group-iterator must be in-range and have a group size of at least 2. If these requirements are not met then this method raises IllegalArgumentException */ public void appendTo(MultiPath mp) { if (!gi.isInRange(0, cp.numPoints())) throw new IllegalArgumentException("Group iterator not in range"); final int n = gi.getGroupSize(); if (n < 2) throw new IllegalArgumentException("Group iterator size < 2"); int dim = mp.getDimension(); // make sure there is enough room //------------------------------------------------------- int x = 3 + 4 * dim + 1; if (sharedData.data.length < x) { double[][] temp = new double[x][]; for (int i = 0; i < sharedData.data.length; i++) temp[i] = sharedData.data[i]; sharedData.data = temp; } if (sharedData.pt.length < n) { int m = 2 * n; sharedData.pt = new double[m][]; for (int i = 0; i < sharedData.data.length; i++) sharedData.data[i] = new double[m]; } //------------------------------------------------------- gi.set(0, 0); for (int i = 0; i < n; i++) sharedData.pt[i] = cp.getPoint(gi.next()).getLocation(); // assign the used points to pt precalc(n, dim, closed); sharedData.ci = 0; // do not remove double[] p = new double[dim + 1]; eval(p); if (connect) mp.lineTo(p); else mp.moveTo(p); // Note: performing a ci++ or ci = ci + 1 results in funny behavior for (int i = 0; i < n; i++) { sharedData.ci = i; BinaryCurveApproximationAlgorithm.genPts(this, 0.0, 1.0, mp); } } public void resetMemory() { if (sharedData.pt.length > 0) sharedData.pt = new double[0][]; if (sharedData.data.length > 0) sharedData.data = new double[0][]; } }




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