Verified reductions for optimization

Abstract Numerical and symbolic methods for optimization are used extensively in engineering, industry, finance. Various to reduce problems of interest ones that amenable solution by these methods. We develop a framework designing applying such reductions, using the Lean programming language interactive proof assistant. Formal verification makes process more reliable, availability an ambient mathematical library provides robust environment constructing reductions reasoning about them.