Convex chairman Stephen Catlin has branded commentary about double-digit rate reductions in London specialty business as ...

Convex optimisation constitutes a fundamental area in applied mathematics where the objective is to identify the minimum of a convex function subject to a set of convex constraints. This framework ...

This is a preview. Log in through your library . Abstract A new numerical method is proposed for a one-dimensional inverse medium scattering problem with multifrequency data. This method is based on ...

The Difference of Convex functions Algorithm (DCA) is used to solve nonconvex optimization problems over a certain convex set, specifically quadratic programming ones, generally by finding approximate ...