New answers tagged random
4
Maybe you want a random number generator that uses RandomChoice to map probabilities to outcomes?
Ket[0] = {1, 0};
Ket[1] = {0, 1};
ψ = (Ket[0] + Ket[1])/Sqrt[2]
(* {1/Sqrt[2], 1/Sqrt[2]} *)
RandomChoice[Abs[ψ]^2 -> {0, 1}]
(* 0 *)
Table[RandomChoice[Abs[ψ]^2 -> {0, 1}], 10]
(* {0, 0, 1, 1, 1, 1, 0, 0, 0, 0} *)
For added ...
20
I'm pretty sure this is expected. Consider the following implementation of RandomInteger:
randomBit[] := RandomInteger[{0, 1}]
rand[{min_, max_}] :=
Module[
{diff, n, res = Infinity},
diff = max - min;
n = Ceiling@Log2[max - min + 1];
While[res > diff,
res = FromDigits[Table[randomBit[], n], 2]
];
min + res
]
Note that we use ...
2
g = TransformedDistribution[x + y,
{x \[Distributed] NormalDistribution[],
y \[Distributed] NormalDistribution[]}]
Mean[g]
(* 0 *)
7
You can get clustered points from a random point process and then relax the Voronoi mesh. The final mesh is the variable relaxed:
SeedRandom[123];
proc = CauchyPointProcess[15, 35, 0.005, 2];
data = RandomPointConfiguration[proc, Rectangle[]];
bounds = {{0, 1}, {0, 1}};
mesh = VoronoiMesh[data["Points"], {{0, 1}, {0, 1}}];
relaxed = Nest[...
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