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@ -102,7 +102,7 @@ boolean argument at creation or by setting `Control.ThreadSafeRandomNumberGenera |
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let a = Random.system () |
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let a = Random.system () |
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let b = Random.systemSeed (RandomSeed.Guid()) |
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let b = Random.systemSeed (RandomSeed.Guid()) |
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//let c = Random.crypto () |
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let c = Random.crypto () |
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let d = Random.mersenneTwister () |
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let d = Random.mersenneTwister () |
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let e = Random.mersenneTwisterWith 1000 true (* thread-safe *) |
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let e = Random.mersenneTwisterWith 1000 true (* thread-safe *) |
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let f = Random.xorshift () |
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let f = Random.xorshift () |
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@ -133,7 +133,7 @@ as last argument. A few more examples, this time in F#: |
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// some probability distributions |
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// some probability distributions |
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let normal = Normal.WithMeanVariance(3.0, 1.5, g) |
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let normal = Normal.WithMeanVariance(3.0, 1.5, g) |
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let exponential = Exponential(2.4) |
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let exponential = Exponential(2.4) |
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//let gamma = Gamma(2.0, 1.5, Random.crypto()) |
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let gamma = Gamma(2.0, 1.5, Random.crypto()) |
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let cauchy = Cauchy(0.0, 1.0, Random.mrg32k3aWith 10 false) |
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let cauchy = Cauchy(0.0, 1.0, Random.mrg32k3aWith 10 false) |
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let poisson = Poisson(3.0) |
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let poisson = Poisson(3.0) |
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let geometric = Geometric(0.8, Random.system()) |
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let geometric = Geometric(0.8, Random.system()) |
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@ -141,8 +141,8 @@ let geometric = Geometric(0.8, Random.system()) |
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// sample some random rumbers from these distributions |
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// sample some random rumbers from these distributions |
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let continuous = |
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let continuous = |
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[ yield normal.Sample() |
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[ yield normal.Sample() |
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yield exponential.Sample() ] |
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yield exponential.Sample() |
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// yield! gamma.Samples() |> Seq.take 10 ] |
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yield! gamma.Samples() |> Seq.take 10 ] |
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let discrete = |
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let discrete = |
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[ poisson.Sample() |
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[ poisson.Sample() |
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@ -167,13 +167,13 @@ some of them are also available with the `Ln`-suffix. |
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*) |
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*) |
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// distribution properties of the gamma we've configured above |
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// distribution properties of the gamma we've configured above |
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//let gammaStats = |
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let gammaStats = |
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// ( gamma.Mean, |
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( gamma.Mean, |
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// gamma.Variance, |
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gamma.Variance, |
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// gamma.StdDev, |
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gamma.StdDev, |
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// gamma.Entropy, |
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gamma.Entropy, |
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// gamma.Skewness, |
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gamma.Skewness, |
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// gamma.Mode ) |
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gamma.Mode ) |
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// probability distribution functions of the normal we've configured above. |
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// probability distribution functions of the normal we've configured above. |
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let nd = normal.Density(4.0) (* pdf *) |
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let nd = normal.Density(4.0) (* pdf *) |
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Christoph Ruegg
9 years ago