arXiv · 2301.09347
Verified reductions for optimization
Abstract
Numerical and symbolic methods for optimization are used extensively in engineering, industry, and finance. Various methods are used to reduce problems of interest to ones that are amenable to solution by such software. We develop a framework for designing and applying such reductions, using the Lean programming language and interactive proof assistant. Formal verification makes the process more reliable, and the availability of an interactive framework and ambient mathematical library provides a robust environment for constructing the reductions and reasoning about them.
Explore related subjects
Keep this discovery
Alexander Bentkamp, Ramon Fernández Mir, Jeremy Avigad. 2023-01-23. Verified reductions for optimization. https://arxiv.org/abs/2301.09347
Cite the original work for its findings. Save a collection to share your selection of sources.