Class BestCandidateSampling.Sphere

    • Constructor Detail

      • Sphere

        public Sphere()
        Create a new instance of BestCandidateSampling.Sphere to configure and generate 'best candidate' sample positions on the unit sphere.
    • Method Detail

      • generate

        public BestCandidateSampling.Sphere generate​(float[] xyzs)
        Generate 'best candidate' sample positions and store the coordinates of all generated samples into the given xyzs float array.

        This method performs heap allocations, so should be used sparingly.

        Parameters:
        xyzs - will hold the x, y and z coordinates of all samples in the order XYZXYZXYZ.... This array must have a length of at least numSamples
        Returns:
        this
      • generate

        public BestCandidateSampling.Sphere generate​(java.nio.FloatBuffer xyzs)
        Generate 'best candidate' sample positions and store the coordinates of all generated samples into the given xyzs FloatBuffer.

        The samples will be written starting at the current position of the FloatBuffer. The position of the FloatBuffer will not be modified.

        This method performs heap allocations, so should be used sparingly.

        Parameters:
        xyzs - will hold the x, y and z coordinates of all samples in the order XYZXYZXYZ.... This FloatBuffer must have at least numSamples remaining elements. The position of the buffer will not be modified by this method
        Returns:
        this
      • seed

        public BestCandidateSampling.Sphere seed​(long seed)
        Set the seed to initialize the pseudo-random number generator with.
        Parameters:
        seed - the seed value
        Returns:
        this
      • numSamples

        public BestCandidateSampling.Sphere numSamples​(int numSamples)
        Set the number of samples to generate.
        Parameters:
        numSamples - the number of samples
        Returns:
        this
      • numCandidates

        public BestCandidateSampling.Sphere numCandidates​(int numCandidates)
        Set the number of candidates to try for each generated sample.
        Parameters:
        numCandidates - the number of candidates to try
        Returns:
        this
      • onHemisphere

        public BestCandidateSampling.Sphere onHemisphere​(boolean onHemisphere)
        Set whether to generate samples on a hemisphere around the +Z axis.

        The default is false, which will generate samples on the whole unit sphere.

        Parameters:
        onHemisphere - whether to generate samples on the hemisphere
        Returns:
        this
      • generate

        public BestCandidateSampling.Sphere generate​(Callback3d callback)
        Generate 'best candidate' sample call the given callback for each generated sample.

        This method performs heap allocations, so should be used sparingly.

        Parameters:
        callback - will be called with the coordinates of each generated sample position
        Returns:
        this