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Rigorous Polynomial Approximation Using Taylor Models in CoQ

机译:使用CoQ中的Taylor模型进行严格的多项式逼近

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One of the most common and practical ways of representing a real function on machines is by using a polynomial approximation. It is then important to properly handle the error introduced by such an approximation. The purpose of this work is to offer guaranteed error bounds for a specific kind of rigorous polynomial approximation called Taylor model. We carry out this work in the Coq proof assistant, with a special focus on genericity and efficiency for our implementation. We give an abstract interface for rigorous polynomial approximations, parameterized by the type of coefficients and the implementation of polynomials, and we instantiate this interface to the case of Taylor models with interval coefficients, while providing all the machinery for computing them. We compare the performances of our implementation in Coq with those of the Sollya tool, which contains an implementation of Taylor models written in C. This is a milestone in our long-term goal of providing fully formally proved and efficient Taylor models.
机译:在机器上表示实函数的最常见,最实用的方法之一是使用多项式逼近。因此,重要的是要适当地处理这种近似所引入的误差。这项工作的目的是为称为泰勒模型的特定类型的严格多项式逼近提供有保证的误差范围。我们在Coq证明助手中进行这项工作,并特别注重实现的通用性和效率。我们为严格的多项式逼近提供了一个抽象接口,该接口通过系数的类型和多项式的实现进行参数化,并针对具有间隔系数的泰勒模型的情况实例化该接口,同时提供了用于计算它们的所有机制。我们将Coq实施的性能与Sollya工具的性能进行了比较,该工具包含用C编写的泰勒模型的实施。这是我们长期目标的里程碑,该长期目标是提供经过正式证明和有效的泰勒模型。

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