perlin-noise

My Perlin noise function (which adds up 6 octaves of 3D simplex at 0.75 persistence) generates a 2D array array of double s. These numbers each come out normalized to [-1, 1], with mean at 0. I clamp them to avoid exceptions, which I think are due to floating-point accuracy issues, but I am fairly sure my scaling factor is good enough for restricting the noise output to exactly this neighborhood in the ideal case. Anyway, that's all details. The point is, here is a 256-by-256 array of noise: The histogram with a normal fit looks like this: Matlab's lillietest is a function which applies the

I'd like to implement a procedural generation of a terrain. After a thorough research I came up with a conclusion that it should be implemented with one of the gradient (coherent) noise generation algorithms, for instance Perlin Noise algorithm. However, I don't want the generation to be completely random. I'd like to apply some constraints (like where should be a mountain range, or where should be a lowland etc.). Question: For example I have a curve which represents some landscape element. The curve is an array of points. How can I improve the Perlin Noise algorithm, so that along this curve

I want to create a terrain-like 3D noise generator and after doing some research I came to the conclusion that Simplex Noise is by far the best type of noise to do this. I find the name quite misleading though as I have a lot of trouble finding resources on the subject and the resources I find are often not well written. What I am basically looking for is a good resource/tutorial explaining step by step how simplex noise works, and explains how to implement that into a program. I am not looking for resources explaining how to use a library or something. Richard Tingle In lue of a tutorial

I have this code for generating 1D noise in obj-c, it's working perfectly well: - (float)makeNoise1D:(int)x { x = (x >> 13) ^ x; x = (x * (x * x * (int)_seed + 19990303) + 1376312589) & RAND_MAX; return ( 1.0 - ( (x * (x * x * 15731 + 789221) + 1376312589) & RAND_MAX) / 1073741824.0); } Now I'm trying to reproduce it in Swift, but it always fail and shows EXEC_BAD_INSTRUCTION on return. This is how it looks like now, I had to spit the final expression, but I'm pretty sure that's not the problem. func makeNoise1D(var x : Int) -> Float{ x = (x >> 13) ^ x; x = (x * (x * x * seed! + 19990303) +

Try as hard as I can, I cannot find any real tutorials on Perlin\Samplex Noise in 1D. I've searched all around the internet but just cannot find anything. Any sites I do come across mentioning 1D perlin noise are usually very unclear or just shows the code I know this is an old question but here is one of the clearest explanations about the interpolation between fixed points that makes up 1d Perlin noise http://webstaff.itn.liu.se/~stegu/simplexnoise/simplexnoise.pdf One of the most important things to know, useful in all programming is the interpolation function... http://paulbourke.net