Lie Symmetry Methods for Multidimensional Linear, Parabolic PDES and Diffusions [PDF]
In this paper we introduce methods based upon Lie symmetry analysis for the construction of explicit fundamental solutions of multidimensional parabolic PDEs.
Mark Craddock, Kelly A. Lennox
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Learning variable-order time fractional diffusion equations using Physics-Informed Neural Networks. [PDF]
Ren L, Jin S.
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Implementing physics-informed neural networks with deep learning for differential equations. [PDF]
Emmert-Streib F +3 more
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Fast automated adjoints for spectral PDE solvers. [PDF]
Skene CS, Burns KJ.
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Calderón problem for nonlocal viscous wave equations: Unique determination of linear and nonlinear perturbations. [PDF]
Zimmermann P.
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Fast Numerical Solvers for Parameter Identification Problems in Mathematical Biology. [PDF]
Benková K, Pearson JW, Ptashnyk M.
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Data-driven, ML-assisted approaches to problem well-posedness. [PDF]
Bertalan T +5 more
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Parameter identification for PDEs using sparse interior data and a recurrent neural network. [PDF]
Long J, Khaliq A, Furati KM.
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An Inverse Signorini Obstacle Problem. [PDF]
de Hoop MV +4 more
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Simultaneous Numerical Determination of Two Time-dependent Coefficients in Second Order Parabolic Equation With Nonlocal Initial and Boundary Conditions. [PDF]
A J Al-Shatrah M, Sabah Hussein M.
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