Batch computation of the linear assignment problem with PyTorch. The active `0.1.0+` release line is pure source: CPU calls use SciPy, and supported CUDA calls use the lazy Triton backend. No editable ...

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Assignment problems lie at the heart of combinatorial optimisation, seeking the most efficient mapping of a set of agents to a set of tasks under cost or profit criteria. The classical linear ...

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Power distribution systems are often conceptualized as optimization models. While optimizing agents to perform tasks works well for systems with limited checkpoints, things begin to go out of hand ...

In this paper we compare track data association purity, accuracy, and timing on a simple, idealized model tracking problem for two data association methods: Global Nearest Neighbor (GNN) and Linear ...

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When arriving at an airport, travelers experience a variety of pre-made decisions, whether it’s gate number, luggage drop-off area, or pre-boarding time. For airport personnel, these decisions are ...

Integer linear programming can help find the answer to a variety of real-world problems. Now researchers have found a much faster way to do it. The traveling salesperson problem is one of the oldest ...