Quantum computers are expected to surpass the computational capabilities of classical
computers and have a transformative impact on numerous industry sectors. We present a …

Quantum computers are expected to surpass the computational capabilities of classical
computers during this decade and have transformative impact on numerous industry sectors …

Second-order cone programming (SOCP) problems are convex optimization problems in
which a linear function is minimized over the intersection of an affine linear manifold with the …

Based on the work of the Nesterov and Todd on self-scaled cones an implementation of a
primal-dual interior-point method for solving large-scale sparse conic quadratic optimization …

Interior-point methods (IPMs) are among the most efficient methods for solving linear, and
also wide classes of other convex optimization problems. Since the path-breaking work of …

The formulation of limit analysis by means of the finite element method leads to an
optimization problem with a large number of variables and constraints. Here we present a …

Combined harnessing of electrical and thermal energies could leverage their
complementary nature, inspiring the integration of power grids and centralized heating …

Smoothing functions have been much studied in the solution of optimization and
complementarity problems with nonnegativity constraints. In this paper, we extend …

Research on interior-point methods (IPMs) has dominated the field of mathematical
programming for the last two decades. Two contrasting approaches in the analysis and …

The mothership and drone routing problem (MDRP) considers the routing of a two-vehicle
tandem. The larger vehicle, which may be a ship or an airplane, is called the mothership; the …