Many companies will encounter the optimization of membership point level growth solutions. Welcome to discuss...

Assume that the seller's main product cost is RMB c/piece, the sales price is RMB P/piece, there are n members, and the average Member points are K points, f wealthy users have a % of the total points. Currently, points D are initially added based on B's consumption. under normal circumstances, each member buys this product every one month. (This assumes that the member pays attention to the price concessions and, based on previous experience, the user will increase accordingly (fun1 (j) % every time the price falls by J %, the sales of commodities will increase by fun2 (j) %, and merchants intend to implement different discounts based on different points. q: How do I plan the above credit ranges [b1, b2), [B2, B3 )...... [Bn-1, BN] and discounts for these ranges a1, a2 ...... An-1: Can the total profit (total sales-total cost) of a seller per unit time be the most ?, How can we plan to increase the maximum number of users without losing money?

[NOTE 1] The above fun1 and fun2 are functions about J and will return the previous experience values.

[NOTE 2] Except for the percentage data, all the above values are positive integers.

[NOTE 3] You can give us an idea first. If there is a problem with the problem description, you are welcome to make a picture.