protected float BrownianMotionNoise(float x, float y, float z)
{
var N = 0f;
var F = frequency;
var A = 1f;
for (var i = 0; i < octaves; i++)
{
var n = ImprovedNoise.Sample(x * F, y * F, z * F, seed: seed + i, repeat: repeat);
N += (n * A);
A *= persistence;
F *= lacunarity;
}
return(N);
}
protected float MultiFractalNoise(float x, float y, float z)
{
var N = 1f;
var F = frequency;
var A = 1f;
for (var i = 0; i < octaves; i++)
{
var n = -1 + ImprovedNoise.Sample(x * F, y * F, z * F, seed: seed + i, repeat: repeat);
N *= (n * A);
A *= persistence;
F *= lacunarity;
}
return(N);
}
protected float BillowNoise(float x, float y, float z)
{
var N = 0f;
var F = frequency;
var A = 1f;
for (var i = 0; i < octaves; i++)
{
var s = ImprovedNoise.Sample(x * F, y * F, z * F, seed: seed + i, repeat: repeat);
s *= A;
s = Mathf.Abs(s);
N += (s * lacunarity) + bias;
A *= persistence;
F *= lacunarity;
}
//at this point N is between 0 and 1, so we make it -1, 1
N = N * 2 - 1;
return(N);
}
protected float RidgeNoise(float x, float y, float z)
{
var F = frequency;
var A = 1f;
var N = 1f - Mathf.Abs(ImprovedNoise.Sample(x * F, y * F, z * F, seed: seed, repeat: repeat));
N *= N;
var s = N;
for (var i = 1; i < octaves; i++)
{
var weight = Mathf.Clamp01(s * 2);
F *= lacunarity;
A *= persistence;
s = 1f - Mathf.Abs(ImprovedNoise.Sample(x * F, y * F, z * F, seed: seed + i, repeat: repeat));
s *= s;
s *= weight;
N += s * A;
}
//at this point N is between 0 and 1, so we make it -1, 1
N = N * 2 - 1;
return(N);
}
