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arXiv 1404.7282cs.LOmath.OC
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非线性最优化问题的形式证明

Formal Proofs for Nonlinear Optimization

Victor Magron, Xavier Allamigeon, Stéphane Gaubert, Benjamin Werner

摘要:

我们提出了一个正式验证的全局优化框架。给定一个半代数或超越函数$f$和一个紧半代数域$K$,我们利用非线性maxplus模板近似算法给出了$K$上的$f$的一个证明下界.这种方法允许绑定在一个模块化的方式的一些成分的$f$的上确界的二次形式具有良好的选择曲率。因此,我们减少了初始目标的半代数优化问题的层次结构,解决了平方和松弛。我们的实现工具交错半代数近似与平方和证人形成证书。它与Coq接口,因此受益于证明助手内部可用的可信算法。该功能用于从证书中生成每个近似成分的有效低估值和下限。这种工具的应用范围很广,例如黑尔斯对开普勒猜想的证明产生了数千个多元超越不等式。我们说明了我们的正式框架上的一些不平等的表现,以及从全局优化文献的例子。

英文摘要:

We present a formally verified global optimization framework. Given a semialgebraic or transcendental function $f$ and a compact semialgebraic domain $K$, we use the nonlinear maxplus template approximation algorithm to provide a certified lower bound of $f$ over $K$. This method allows to bound in a modular way some of the constituents of $f$ by suprema of quadratic forms with a well chosen curvature. Thus, we reduce the initial goal to a hierarchy of semialgebraic optimization problems, solved by sums of squares relaxations. Our implementation tool interleaves semialgebraic approximations with sums of squares witnesses to form certificates. It is interfaced with Coq and thus benefits from the trusted arithmetic available inside the proof assistant. This feature is used to produce, from the certificates, both valid underestimators and lower bounds for each approximated constituent. The application range for such a tool is widespread; for instance Hales' proof of Kepler's conjecture yields thousands of multivariate transcendental inequalities. We illustrate the performance of our formal framework on some of these inequalities as well as on examples from the global optimization literature.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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