To efficiently solve the problem, simplifications of the original model are introduced, together with an iterative quadratic programming (IQP) optimization procedure.

First-order conic optimization solvers are sensitive to problem conditioning and typically perform poorly in the face of ill-conditioned problem data. To mitigate this, we propose an approach to ...

HypOp can solve large-scale optimization problems with generic objective functions and constraints. Most of the existing solvers can only solve problems with specific objective functions such as ...

We formulate a truss topology optimization problem as a bilevel programming problem and solve it by means of a line search type inexact restoration algorithm. We discuss details of the implementation ...

HiOp - HPC solver for optimization HiOp is an optimization solver for solving certain mathematical optimization problems expressed as nonlinear programming problems. HiOp is a lightweight HPC solver ...

An augmented Lagrangian sequential quadratic programming method combined with a trust region globalization strategy is described, taking advantage of the problem structure and using inexact ...

Keywords: sustainable diets, quadratic programming (QP), diet optimization, greenhouse gas emission, dietary intake, dietary guidelines Citation: Nordman M, Lassen AD, Stockmarr A, van ‘t Veer P, ...

Multiverse Computing has developed a “quantum calculator” algorithm to transform a quantum computer into a mathematical tool for executing complex calculations.