Hi there!
Consider the following problem: You're given set of n items with weights a1, ..., an. How many ways are there to select k items (order of choosing matters) with total weight of m (let's denote it as bm)? There are two main variants of the problem:
- You may take any item arbitrary number of times. In this case bm = [xm](xa1 + ... + xan)k.
- You may take each item exactly once. In this case bm = m![xmyk](1 + yxa1)...(1 + yxan)
First case is quite explicit and allows you to calculate answer in like as .
But what about the second? If you define P(x) = xa1 + ... + xan and Qk(x) = b0 + b1x + b2x2 + ..., you may say for example that Q1(x) = P(x), Q2(x) = P2(x) - P(x2) or Q3(x) = P3(x) - 3P(x)P(x2) + 2P(x3) which allows to calculate Qk(x) for small k quickly. But does anybody know any fast way to calculate Qk(x)? Newton's identities seem to allow something like if I'm not mistaken. Can anybody suggest any faster algorithm?