Awards recognize foundational research that helped shape mixed-integer and nonlinear optimization—and reflect the company’s deep scientific roots.

Awards recognize foundational research that helped shape the fields of mixed-integer and nonlinear optimization-and reflect the company's deep scientific roots. Gurobi Optimization, LLC, the leader ...

Abstract: This paper presents a description of a mixed integer programming (MIP) solution for solving the PJM unit commitment problem. Included is a description of the day-ahead market clearing ...

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...

Abstract: Many operation optimization problems such as scheduling and assignment of interest to the automation community are mixed-integer linear programming (MILP) problems. Because of their ...

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 ...

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 ...

Type erasure in Java generics programming can cause a variety of problems in your code. Fortunately, there are ways to work around them. Generics programming in Java enhances type safety and code ...

Developing a novel type of power system is an important means of achieving the “dual carbon” goals of achieving peak carbon emissions and carbon neutrality in the near future. Given that the ...