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An analysis of optimizat

An analysis of optimizati
An analysis of optimization problems involving ReLU neural networks

arXiv:2502.03016v1 Announce Type: cross
Abstract: Solving mixed-integer optimization problems with embedded neural networks with ReLU activation functions is challenging. Big-M coefficients that arise in relaxing binary decisions related to these functions grow exponentially with the number of laye…

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