Questions: I have stumbled upon Fenwick trees (Binary index trees) that allow to calculate cumulative sums easily. However, I have only found implementations where the number of leeves (summands) is constant (but their value can change). Is there something like a generalised Fenwick tree that allows for the number of leeves (summands) to change, i.e. to have a variable size?
Background I am currently writing some stochastic simulation code (in C++): There are balls in an urn and each ball i has a certain probability p_i to be drawn. Upon a drawing event a ball is drawn (and removed) and replaced by two new balls with new probabilities (and all probabilities are rescaled accordingly; I do this "rescaling" efficiently already, so don't bother about it). At some point I start to remove balls such that the number of balls fluctuates around a constant value (that is known before). To do the drawing efficiently I want to use a binary tree. The standard Fenwick tree does exactly what I want except that it doesn't allow for the change in number of balls in the urn.
Typical numbers Start with 10 balls, add balls and start to remove balls once there are around 1000 such that there are then between 900 and 1100 balls in the urn (i.e. balls are added and removed such that the number stays around 1000).
Workaround so far Estimate the maximal number of balls needed (with some security margin, say 1200 balls) and make the constant-size Fenwick tree that large with most of the balls initially having probability 0 to be drawn and being successively updated.
Thank you very much for your help! Matthias