TorchDAE: Implicit DAE Solvers with Index Reduction and Adjoint Sensitivity [P]

In three linesTorchDAE is a PyTorch library for solving Differential Algebraic Equations (DAEs) with GPU acceleration. It implements Generalized-Alpha integration, Dummy Derivatives index reduction, and adjoint sensitivity methods for DAEs. Target applications: system identification, scientific machine learning, and physics-informed modeling.

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