/*
* Copyright (C) 2012 The Android Open Source Project
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package android.util;
/**
* Performs spline interpolation given a set of control points.
* @hide
*/
public abstract class Spline {
/**
* Interpolates the value of Y = f(X) for given X.
* Clamps X to the domain of the spline.
*
* @param x The X value.
* @return The interpolated Y = f(X) value.
*/
public abstract float interpolate(float x);
/**
* Creates an appropriate spline based on the properties of the control points.
*
* If the control points are monotonic then the resulting spline will preserve that and
* otherwise optimize for error bounds.
*/
public static Spline createSpline(float[] x, float[] y) {
if (!isStrictlyIncreasing(x)) {
throw new IllegalArgumentException("The control points must all have strictly "
+ "increasing X values.");
}
if (isMonotonic(y)) {
return createMonotoneCubicSpline(x, y);
} else {
return createLinearSpline(x, y);
}
}
/**
* Creates a monotone cubic spline from a given set of control points.
*
* The spline is guaranteed to pass through each control point exactly.
* Moreover, assuming the control points are monotonic (Y is non-decreasing or
* non-increasing) then the interpolated values will also be monotonic.
*
* This function uses the Fritsch-Carlson method for computing the spline parameters.
* http://en.wikipedia.org/wiki/Monotone_cubic_interpolation
*
* @param x The X component of the control points, strictly increasing.
* @param y The Y component of the control points, monotonic.
* @return
*
* @throws IllegalArgumentException if the X or Y arrays are null, have
* different lengths or have fewer than 2 values.
* @throws IllegalArgumentException if the control points are not monotonic.
*/
public static Spline createMonotoneCubicSpline(float[] x, float[] y) {
return new MonotoneCubicSpline(x, y);
}
/**
* Creates a linear spline from a given set of control points.
*
* Like a monotone cubic spline, the interpolated curve will be monotonic if the control points
* are monotonic.
*
* @param x The X component of the control points, strictly increasing.
* @param y The Y component of the control points.
* @return
*
* @throws IllegalArgumentException if the X or Y arrays are null, have
* different lengths or have fewer than 2 values.
* @throws IllegalArgumentException if the X components of the control points are not strictly
* increasing.
*/
public static Spline createLinearSpline(float[] x, float[] y) {
return new LinearSpline(x, y);
}
private static boolean isStrictlyIncreasing(float[] x) {
if (x == null || x.length < 2) {
throw new IllegalArgumentException("There must be at least two control points.");
}
float prev = x[0];
for (int i = 1; i < x.length; i++) {
float curr = x[i];
if (curr <= prev) {
return false;
}
prev = curr;
}
return true;
}
private static boolean isMonotonic(float[] x) {
if (x == null || x.length < 2) {
throw new IllegalArgumentException("There must be at least two control points.");
}
float prev = x[0];
for (int i = 1; i < x.length; i++) {
float curr = x[i];
if (curr < prev) {
return false;
}
prev = curr;
}
return true;
}
public static class MonotoneCubicSpline extends Spline {
private float[] mX;
private float[] mY;
private float[] mM;
public MonotoneCubicSpline(float[] x, float[] y) {
if (x == null || y == null || x.length != y.length || x.length < 2) {
throw new IllegalArgumentException("There must be at least two control "
+ "points and the arrays must be of equal length.");
}
final int n = x.length;
float[] d = new float[n - 1]; // could optimize this out
float[] m = new float[n];
// Compute slopes of secant lines between successive points.
for (int i = 0; i < n - 1; i++) {
float h = x[i + 1] - x[i];
if (h <= 0f) {
throw new IllegalArgumentException("The control points must all "
+ "have strictly increasing X values.");
}
d[i] = (y[i + 1] - y[i]) / h;
}
// Initialize the tangents as the average of the secants.
m[0] = d[0];
for (int i = 1; i < n - 1; i++) {
m[i] = (d[i - 1] + d[i]) * 0.5f;
}
m[n - 1] = d[n - 2];
// Update the tangents to preserve monotonicity.
for (int i = 0; i < n - 1; i++) {
if (d[i] == 0f) { // successive Y values are equal
m[i] = 0f;
m[i + 1] = 0f;
} else {
float a = m[i] / d[i];
float b = m[i + 1] / d[i];
if (a < 0f || b < 0f) {
throw new IllegalArgumentException("The control points must have "
+ "monotonic Y values.");
}
float h = FloatMath.hypot(a, b);
if (h > 9f) {
float t = 3f / h;
m[i] = t * a * d[i];
m[i + 1] = t * b * d[i];
}
}
}
mX = x;
mY = y;
mM = m;
}
@Override
public float interpolate(float x) {
// Handle the boundary cases.
final int n = mX.length;
if (Float.isNaN(x)) {
return x;
}
if (x <= mX[0]) {
return mY[0];
}
if (x >= mX[n - 1]) {
return mY[n - 1];
}
// Find the index 'i' of the last point with smaller X.
// We know this will be within the spline due to the boundary tests.
int i = 0;
while (x >= mX[i + 1]) {
i += 1;
if (x == mX[i]) {
return mY[i];
}
}
// Perform cubic Hermite spline interpolation.
float h = mX[i + 1] - mX[i];
float t = (x - mX[i]) / h;
return (mY[i] * (1 + 2 * t) + h * mM[i] * t) * (1 - t) * (1 - t)
+ (mY[i + 1] * (3 - 2 * t) + h * mM[i + 1] * (t - 1)) * t * t;
}
// For debugging.
@Override
public String toString() {
StringBuilder str = new StringBuilder();
final int n = mX.length;
str.append("MonotoneCubicSpline{[");
for (int i = 0; i < n; i++) {
if (i != 0) {
str.append(", ");
}
str.append("(").append(mX[i]);
str.append(", ").append(mY[i]);
str.append(": ").append(mM[i]).append(")");
}
str.append("]}");
return str.toString();
}
}
public static class LinearSpline extends Spline {
private final float[] mX;
private final float[] mY;
private final float[] mM;
public LinearSpline(float[] x, float[] y) {
if (x == null || y == null || x.length != y.length || x.length < 2) {
throw new IllegalArgumentException("There must be at least two control "
+ "points and the arrays must be of equal length.");
}
final int N = x.length;
mM = new float[N-1];
for (int i = 0; i < N-1; i++) {
mM[i] = (y[i+1] - y[i]) / (x[i+1] - x[i]);
}
mX = x;
mY = y;
}
@Override
public float interpolate(float x) {
// Handle the boundary cases.
final int n = mX.length;
if (Float.isNaN(x)) {
return x;
}
if (x <= mX[0]) {
return mY[0];
}
if (x >= mX[n - 1]) {
return mY[n - 1];
}
// Find the index 'i' of the last point with smaller X.
// We know this will be within the spline due to the boundary tests.
int i = 0;
while (x >= mX[i + 1]) {
i += 1;
if (x == mX[i]) {
return mY[i];
}
}
return mY[i] + mM[i] * (x - mX[i]);
}
@Override
public String toString() {
StringBuilder str = new StringBuilder();
final int n = mX.length;
str.append("LinearSpline{[");
for (int i = 0; i < n; i++) {
if (i != 0) {
str.append(", ");
}
str.append("(").append(mX[i]);
str.append(", ").append(mY[i]);
if (i < n-1) {
str.append(": ").append(mM[i]);
}
str.append(")");
}
str.append("]}");
return str.toString();
}
}
}
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