In this paper, we present a review of deterministic software for solving convex MINLP
problems as well as a comprehensive comparison of a large selection of commonly …

This paper gives a review on existing scheduling methodologies developed for process
industries. Above all, the aim of the paper is to focus on the industrial aspects of scheduling …

The SCIP Optimization Suite provides a collection of software packages for mathematical
optimization centered around the constraint integer programming framework SCIP. This …

Many optimal decision problems in scientific, engineering, and public sector applications
involve both discrete decisions and nonlinear system dynamics that affect the quality of the …

This manuscript introduces ANTIGONE, Algorithms for coNTinuous/Integer Global
Optimization of Nonlinear Equations, a general mixed-integer nonlinear global optimization …

A wide range of problems arising in practical applications can be formulated as Mixed-
Integer Nonlinear Programs (MINLPs). For the case in which the objective and constraint …

Euclidean distance geometry is the study of Euclidean geometry based on the concept of
distance. This is useful in several applications where the input data consist of an incomplete …

This paper describes the extensions that were added to the constraint integer programming
framework SCIP in order to enable it to solve convex and nonconvex mixed-integer …

Multi-access edge computing (MEC) has already shown great potential in enabling mobile
devices to bear the computation-intensive applications by offloading some computing jobs to …

The state of numerical computing is currently characterized by a divide between highly
efficient yet typically cumbersome low-level languages such as C, C++, and Fortran and …