DOE OSTI · code-183348
Optimization Layers for Pyomo [SWR-25-132]
Abstract
Optimization Layers for Pyomo solves an optimization problem using Pyomo and IPOPT during the forward pass. It computes the gradient of the optimal solution with respect to the parameters based on the KKT conditions in the backward pass. It is a Python library for constructing differentiable optimization layers in PyTorch from Pyomo optimization models.
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Chen, Kejun [National Laboratory of the Rockies (NLR), Golden, CO (United States)], Knueven, Bernard [National Laboratory of the Rockies (NLR), Golden, CO (United States)]. 2026-06-03. Optimization Layers for Pyomo [SWR-25-132]. https://doi.org/10.11578/dc.20260616.1
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