Starting with Gurobi version 10.0, gurobipy makes it very easy to build optimization models that are naturally formulated with multi-dimensional constraints. In particular you can use familiar concepts from NumPy like dimensions, shape, vectorization and broadcasting in combination with gurobipy’s matrix-friendly objects to construct your optimization model. In this webinar we will walk you through this new functionality, discuss performance aspects, and present best practice code patterns.
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