Dynamic optimization and optimal control problems form the backbone of numerous applications in engineering, economics and the natural sciences. These methodologies involve determining a time-varying ...

Given the high computational requirements of neural network models, efficient execution is paramount. When performed trillions of times per second even the tiniest inefficiencies are multiplied into ...

This is a preview. Log in through your library . Abstract We introduce a combinatorial approach for studying multiple-processor scheduling problems that involve the preemptive scheduling of ...