需要一个从普通(高斯)分布返回样本的随机数生成器,我已经移植到F#作为John D. Cook的C#生成器的一部分:
let mutable m_w = 521288629u
let mutable m_z = 362436069u
let private getUint () =
m_z <- 36969u * (m_z &&& 65535u) + (m_z >>> 16)
m_w <- 18000u * (m_w &&& 65535u) + (m_w >>> 16)
(m_z <<< 16) + m_w
let private setSeed () =
let dt = System.DateTime.Now
let x = dt.ToFileTime ()
m_w <- uint32 (x >>> 16)
m_z <- uint32 (x % 4294967296L)
let private getUniform () =
let u = getUint ()
(float u + 1.) * 2.328306435454494e-10
let private randomNormal () =
let u1 = getUniform ()
let u2 = getUniform ()
let r = sqrt (-2. * (log u1))
let theta = 2. * System.Math.PI * u2
r * sin (theta)
/// Returns a normal (Gaussian) random sample with mean 0 and standard deviation 1
let randn () =
setSeed ()
randomNormal ()
/// Returns an array of normal (Gaussian) random samples
let randns n m =
setSeed ()
[| for i in 0 .. n - 1 -> randomNormal () |]
Run Code Online (Sandbox Code Playgroud)
此实现工作正常但不是线程安全的.鉴于依赖于它的代码广泛使用了Thread Parallel Library,我需要使它成为线程安全的.
这对我来说并不明显,因为该方法的核心是两个可变成员,这几乎是不可或缺的.有没有其他方法来实现线程安全而不诉诸锁定?
有没有其他方法来实现仅使用不可变成员的普通伪随机生成器?