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Gradient preserving Operator Inference: Data-driven reduced-order models for equations with gradient structure

Yuwei Geng, Jasdeep Singh, Lili Ju, Boris Krämer, Zhu Wang

2024Computer Methods in Applied Mechanics and Engineering10 citationsDOIOpen Access PDF

Topics & Concepts

DiscretizationMathematicsDissipative systemApplied mathematicsParameterized complexityPartial differential equationInferenceHamiltonian (control theory)Operator (biology)AlgorithmComputer scienceMathematical analysisMathematical optimizationPhysicsArtificial intelligenceQuantum mechanicsGeneChemistryTranscription factorBiochemistryRepressorModel Reduction and Neural NetworksNumerical methods for differential equationsFluid Dynamics and Vibration Analysis
Gradient preserving Operator Inference: Data-driven reduced-order models for equations with gradient structure | Litcius