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Fast transcendent / trigonometric functions for Java

Asked 2009-02-07T09:45:44.637
21

Since the trigonometric functions in java.lang.Math are quite slow: is there a library that does a quick and good approximation? It seems possible to do a calculation several times faster without losing much precision. (On my machine a multiplication takes 1.5ns, and java.lang.Math.sin 46ns to 116ns). Unfortunately there is not yet a way to use the hardware functions.

UPDATE: The functions should be accurate enough, say, for GPS calculations. That means you would need at least 7 decimal digits accuracy, which rules out simple lookup tables. And it should be much faster than java.lang.Math.sin on your basic x86 system. Otherwise there would be no point in it.

For values over pi/4 Java does some expensive computations in addition to the hardware functions. It does so for a good reason, but sometimes you care more about the speed than for last bit accuracy.

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Here is a collection of low-level tricks for quickly approximating trig functions. There is example code in C which I find hard to follow, but the techniques are just as easily implemented in Java.

Here's my equivalent implementation of invsqrt and atan2 in Java.

I could have done something similar for the other trig functions, but I have not found it necessary as profiling showed that only sqrt and atan/atan2 were major bottlenecks.

public class FastTrig
{
  /** Fast approximation of 1.0 / sqrt(x).
   * See <a href="http://www.beyond3d.com/content/articles/8/">http://www.beyond3d.com/content/articles/8/</a>
   * @param x Positive value to estimate inverse of square root of
   * @return Approximately 1.0 / sqrt(x)
   **/
  public static double
  invSqrt(double x)
  {
    double xhalf = 0.5 * x; 
    long i = Double.doubleToRawLongBits(x);
    i = 0x5FE6EB50C7B537AAL - (i>>1); 
    x = Double.longBitsToDouble(i);
    x = x * (1.5 - xhalf*x*x); 
    return x; 
  }

  /** Approximation of arctangent.
   *  Slightly faster and substantially less accurate than
   *  {@link Math#atan2(double, double)}.
   **/
  public static double fast_atan2(double y, double x)
  {
    double d2 = x*x + y*y;

    // Bail out if d2 is NaN, zero or subnormal
    if (Double.isNaN(d2) ||
        (Double.doubleToRawLongBits(d2) < 0x10000000000000L))
    {
      return Double.NaN;
    }

    // Normalise such that 0.0 <= y <= x
    boolean negY = y < 0.0;
    if (negY) {y = -y;}
    boolean negX = x < 0.0;
    if (negX) {x = -x;}
    boolean steep = y > x;
    if (steep)
    {
      double t = x;
      x = y;
      y = t;
    }

    // Scale to unit circle (0.0 <= y <= x <= 1.0)
    double rinv = invSqrt(d2); // rinv ≅ 1.0 / hypot(x, y)
    x *= rinv; // x ≅ cos θ
    y *= rinv; // y ≅ sin θ, hence θ ≅ asin y

    // Hack: we want: in
answered 2009-02-07T10:52:55.267

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