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y - Institute for Building Materials - ETH Zürich

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Distribution of random numbers<br />

+∞<br />

∫<br />

−∞∞<br />

P( x) dx = 1 and P( x)<br />

> 0<br />

examples: homogeneous, Gaussian, Poisson<br />

Probability to find a random number<br />

i in the h i interval l[ [ [x, , x+ x+Δx]: Δ ] ]:<br />

x +Δ x<br />

wx ( ) = ∫ Pxdx ( )<br />

Random number generators (RNG)<br />

electrical flicker noise<br />

Algorithms:<br />

∫<br />

x<br />

photon emission<br />

f from a semiconductor i d<br />

• Congruential (Lehmer (Lehmer, 1948)<br />

• Lagged-Fibonacci gg (Tausworth,1965)<br />

( , )<br />

21<br />

22

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