Abstract: A system and method is presented for determining at what price and when to release so-called ‘flex’ price tickets during an on-sale using hazard functional analyses of sales velocity and sales/inquiry ratios. Exponential, power, and Weibull-gamma models are also used to predict demand, depending on what part of the on-sale is involved. Determining demand of seats from secondary markets is also described with methods to use the demand for either repricing the seats in the primary market or presenting ‘best value’ seats to a prospective purchaser. Demand can be interpolated or extrapolated to individual seats or rows.

Abstract: This is a 32-bit combined arithmetic unit and stack processor (designated as the ASP chip) designed to be a simple, flexible, yet powerful building block for a high level language computer. The ASP is a 3-micron CMOS chip which has run high level programs at 12.5 MHz. When combined with the right hardware and compiler, it will run procedural language programs efficiently. It requires extra hardware to build a complete system, so it is to be mainly where speed is critical; but, employs greatly simplified hardware and software designs. A basic ASP combines arithmetic and stack manipulation functions and is capable of performing 227 different instructions to implement the high level language. A minimum of two ASPs are required to construct a stack-oriented high level language computer.