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Quasi-interpretation Synthesis by Decomposition: An Application to Higher-Order Programs

机译:分解的准解释综合:在高阶程序中的应用

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Quasi-interpretation analysis belongs to the field of implicit computational complexity (ICC) and has shown its interest to deal with resource analysis of first-order functional programs, which are terminating or not. In this paper, we tackle the issue of program decomposition wrt quasi-interpretations analysis. For that purpose, we use the notion of modularity. Firstly, modularity decreases the complexity of the quasi-interpretation search algorithms. Secondly, modularity increases the in-tentionality of the quasi-interpretation method, that is the number of captured programs. Finally, we take advantage of modularity conditions to extend smoothly quasi-interpretations to higher-order programs. We study the modularity of quasi-interpretations through the notions of constructor-sharing and hierarchical unions of programs. We show that, in both cases, the existence of quasi-interpretations is no longer a modular property. However, we can still certify the complexity of programs by showing, under some restrictions, that the size of the values computed by a program remains polynomially bounded by the inputs.
机译:准解释分析属于隐式计算复杂度(ICC)领域,并且已显示出对处理一阶功能程序(无论是否终止)的资源分析感兴趣的兴趣。在本文中,我们通过准解释分析解决程序分解的问题。为此,我们使用模块化的概念。首先,模块化降低了准解释搜索算法的复杂性。其次,模块化增加了准解释方法的意图,即所捕获程序的数量。最后,我们利用模块化条件将准解释平稳地扩展到高阶程序。我们通过构造函数共享和程序的层次联合的概念来研究准解释的模块化。我们表明,在两种情况下,准解释的存在都不再是模块性质。但是,在某些限制下,我们仍然可以通过显示程序计算出的值的大小仍由输入多项式限制来证明程序的复杂性。

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