Abstract

Many computational systems need to deal with various forms of imprecision and uncertainty in their data; it is also the case that many systems, especially mobile and distributed systems, must be able to trade off the precision of their data and operations against the cost of performing those operations. Unfortunately, for many applications, trying to make these tradeoffs severely complicates the program, because there does not yet exist a programming model that gives the programmer the ability to easily describe the relevant tradeoffs between precision and cost of operations or to express in an algorithm what tradeoffs are appropriate under what circumstances. This paper lays a solid foundation for exploring

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