Mathematical programming with vanishing constraints (MPVC) represents a challenging class of optimisation problems where certain constraints become inactive—or “vanish”—depending on ...

The falling price and reduced size of sensors for monitoring spatially-sensitive environmental properties such as temperature, light, sound, and vibration have motivated research in location ...

This paper presents the soft-input soft-output (SISO) linear programming (LP) decoder. It is shown that the soft information gleaned from a pseudo-codeword solution to the LP optimization is not only ...

SHOPPING: Sony has been on the forefront for some of the best headphones ever made with its WH-1000X series, but ever since its last release in May 2022, fans have been wondering when the next ...

Many of these stemmed from problematic ligand restraint files, highlighting the difficulty of encoding the geometric constraints of macrocycles using ... We note that even linear non-canonical ...

Welcome to what is currently one of the fastest academically developed solvers for mixed integer programming (MIP) and mixed integer nonlinear programming (MINLP). In addition, SCIP provides a highly ...

PaPILO, a C++14-based software package, provides parallel presolve routines for (mixed integer) linear programming problems. The routines are implemented using templates which allows switching to ...

Goal: Understand how to handle constraints. Soft/hard constraints, penalty functions, Barrier functions, Lagrange Multipliers, Karush-Kuhn-Tucker conditions, Slack variables, Augmented Lagrangian ...