定量代数推理

R. Mardare, P. Panangaden, G. Plotkin
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引用次数: 83

摘要

我们发展了一种方程推理的定量模拟,我们称之为定量代数。我们定义了一个索引为a = ε$b$的等式关系,我们认为它表示“$a$近似等于$b$,直至误差$\varepsilon $”。我们有四个有趣的例子,我们有一个定量方程理论,它的自由代数对应于已知的结构。在每种情况下,我们都有有限和连续的版本。这四种情况是:来自定量半格的豪斯多夫度量;p - Wasserstein度规(因此也称为Kantorovich度规)来自质心代数,也来自点质心代数,以及来自质心代数变体的总变分度规。
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Quantitative Algebraic Reasoning
We develop a quantitative analogue of equational reasoning which we call quantitative algebra. We define an equality relation indexed a = ε$b$ which we think of as saying that "$a$ is approximately equal to $b$ up to an error of $\varepsilon $". We have 4 interesting examples where we have a quantitative equational theory whose free algebras correspond to well known structures. In each case we have finitary and continuous versions. The four cases are: Hausdorff metrics from quantitive semilattices; $p - $Wasserstein metrics (hence also the Kantorovich metric) from barycentric algebras and also from pointed barycentric algebras and the total variation metric from a variant of barycentric algebras.
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