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Rethinking the ill-posedness of the spectral function reconstruction — Why is it fundamentally hard and how Artificial Neural Networks can help

Shuzhe Shi, Lingxiao Wang, Kai Zhou

2022Computer Physics Communications30 citationsDOIOpen Access PDF

Topics & Concepts

Eigenvalues and eigenvectorsEuclidean geometryMathematicsRegularization (linguistics)Artificial neural networkApplied mathematicsUniquenessAlgorithmConvolution (computer science)Computer scienceMathematical analysisArtificial intelligencePhysicsGeometryQuantum mechanicsParticle physics theoretical and experimental studiesQuantum Chromodynamics and Particle InteractionsHigh-Energy Particle Collisions Research
Rethinking the ill-posedness of the spectral function reconstruction — Why is it fundamentally hard and how Artificial Neural Networks can help | Litcius