A neural network method using the Rayleigh quotient with Gram-Schmidt orthogonalization solves differential eigenvalue problems in order, including parametric, nonlinear, and high-dimensional cases.
Deep Learning Solution of the Eigenvalue Problem for Differential Operators
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Solving engineering eigenvalue problems with neural networks using the Rayleigh quotient
A neural network method using the Rayleigh quotient with Gram-Schmidt orthogonalization solves differential eigenvalue problems in order, including parametric, nonlinear, and high-dimensional cases.