Abstract: Many optimal control problems include a continuous nonlinear dynamic system, state, and control constraints, and final state constraints. When using dynamic programming to solve such a ...

Example project app for solving Operations Research's machine maintenance/replacement models. This app was a sample made in pure JS, CSS and Bootstrap with the DOM ...

Data-driven approaches are becoming increasingly common as problem-solving tools in many areas of science and technology. In most cases, machine learning models are the key component of these ...

DynaProg is a MATLAB toolbox to solve a finite horizon multi-stage deterministic decision problem, which is a problem where a decision must be made at each stage for a system that evolves through a ...

Abstract: A stochastic resource allocation model, based on the principles of Markov decision processes ( MDPs ) , is proposed in this paper. In particular, a general-purpose framework is developed, ...

It’s been said that the uncharted territories of the old maps were often marked with the ominous warning: “Here be dragons.” Perhaps apocryphal, the idea was that no one wandering into these unknown ...

When news breaks, you need to understand what actually matters — and what to do about it. At Vox, our mission to help you make sense of the world has never been more vital. But we can’t do it on our ...