/** {@inheritDoc} */ public double nextGaussian() { final double random; if (Double.isNaN(nextGaussian)) { // generate a new pair of gaussian numbers final double x = nextDouble(); final double y = nextDouble(); final double alpha = 2 * FastMath.PI * x; final double r = FastMath.sqrt(-2 * FastMath.log(y)); random = r * FastMath.cos(alpha); nextGaussian = r * FastMath.sin(alpha); } else { // use the second element of the pair already generated random = nextGaussian; nextGaussian = Double.NaN; } return random; }
/** {@inheritDoc} */ public double nextGaussian() { final double random; if (Double.isNaN(nextGaussian)) { // generate a new pair of gaussian numbers final double x = nextDouble(); final double y = nextDouble(); final double alpha = 2 * Math.PI * x; final double r = Math.sqrt(-2 * Math.log(y)); random = r * Math.cos(alpha); nextGaussian = r * Math.sin(alpha); } else { // use the second element of the pair already generated random = nextGaussian; nextGaussian = Double.NaN; } return random; }
/** {@inheritDoc} */ public double nextGaussian() { final double random; if (Double.isNaN(nextGaussian)) { // generate a new pair of gaussian numbers final double x = nextDouble(); final double y = nextDouble(); final double alpha = 2 * FastMath.PI * x; final double r = FastMath.sqrt(-2 * FastMath.log(y)); random = r * FastMath.cos(alpha); nextGaussian = r * FastMath.sin(alpha); } else { // use the second element of the pair already generated random = nextGaussian; nextGaussian = Double.NaN; } return random; }