I've got a fixed solution space defined by a minimum and maximum float which has no divisible slice.
You then have 0..N Gaussian distribution probability sets which I need to combine.
In the end I neeed
- Method to define probability set with a numeric range (not sliceable) and 0..N Gaussian functions
- A function which can generate a random number in the range as defined by the calculated probabilities.
Also I know it is possible that some combinations will generate a zero solution space.
Now I'm thinking the way to do it is take the normalised probability density functions and multiply them to get a new space then normalising the result. I just can't seem to break it down into algorithmic form.