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 ...

15-Feb-2023: Simple examples from vOptGeneric have been adapted for MOA 15-Feb-2023: vOptGeneric.jl is no longer under active development 15-Feb-2023: vOptGeneric.jl has been redesigned and ...

Abstract: This letter develops two distributed algorithms to solve multi-robot task assignment problems (MTAP). We first describe MTAP as an integer linear programming (ILP) problem and then ...

Download PDF Join the Discussion View in the ACM Digital Library The maximum flow problem and its generalization, the minimum-cost flow problem, are classic combinatorial graph problems that find ...

The goal of linear programming is to optimize an objective function, which is a function of variables, while taking into account a set of constraints, which are linear equations and/or inequalities.

Mixed-Integer Linear Programming (MILP) plays an important role across a range of scientific disciplines and within areas of strategic importance to society. The MILP problems, however, suffer from ...

DuaLip is an extreme-scale Linear Program (LP) solver built on PyTorch. It solves structured LP problems of the form: minimize c^T x subject to Ax ≤ b x_i ∈ C_i for all i ∈ {1, 2, ..., I} For a ...

To program complex behavior in environments incompatible with electronic controllers such as within bioreactors or engineered cells, we turn to chemical information processors. While chemical ...

Quantum annealing is a promising heuristic method to solve combinatorial optimization problems, and efforts to quantify performance on real-world problems provide insights into how this approach may ...