MarsagliaNormalizedGaussianSampler
Marsaglia polar method for sampling from a Gaussian distribution with mean 0 and standard deviation 1. This is a variation of the algorithm implemented in BoxMullerNormalizedGaussianSampler.
Based on Commons RNG implementation. See https://commons.apache.org/proper/commons-rng/commons-rng-sampling/apidocs/org/apache/commons/rng/sampling/distribution/MarsagliaNormalizedGaussianSampler.html
Functions
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Generates a chain of samples.
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Generates size real samples and chunks them into some buffers.
Generates size integer samples and chunks them into some buffers.
fun <T : Any> Sampler<T>.sampleBuffer(generator: RandomGenerator, size: Int, bufferFactory: BufferFactory<T> = BufferFactory.boxing()): Chain<Buffer<T>>
Sample a bunch of values