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<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE pkgmetadata SYSTEM "">
<maintainer type="project">
<name>Gentoo Science Project</name>
<longdescription lang="en">
Couenne (Convex Over and Under ENvelopes for Nonlinear Estimation)
is a spatial branch and bound algorithm that implements linearization, bound
reduction, and branching techniques for Mixed-integer, Nonlinear
Programming (MINLP) problems. The purpose of Couenne is to find global
optima of nonconvex MINLPs.