They Spent Years on a Math Problem. Then They Were Scooped by A.I.

Artificial intelligence is mastering the kinds of projects that have long helped to build the careers of young mathematicians ...
IEEE

A Scalable Solution Methodology for Mixed-Integer Linear Programming Problems Arising in Automation

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 ...
GitHub

PaPILO — Parallel Presolve for Integer and Linear Optimization

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 ...
IEEE

Decentralized Diagnosis by Petri Nets and Integer Linear Programming

Abstract: This paper proposes a novel decentralized on-line fault diagnosis approach based on the solution of some integer linear programming problems for discrete event systems in a Petri net ...
InfoWorld

How to use generics in your Java programs

Generics make your code more flexible and easier to read, and they help you avoid ClassCastExceptions at runtime. Get started with this introduction to using generics with the Java Collections ...
Business Wire

FICO Releases First Major Global Optimization Solver for Complex “Nonlinear” Problems

BOZEMAN, Mont.--(BUSINESS WIRE)--Analytics software leader FICO today announced the release of a true global mathematical optimization solver as part of FICO ® Xpress 9.2 Optimization. The global ...
Frontiers

Accelerated non-negative tensor completion via integer programming

The problem of tensor completion has applications in healthcare, computer vision, and other domains. However, past approaches to tensor completion have faced a tension in that they either have ...