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Spectral inequalities in quantitative form
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math.SPmath.APmath.FA
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inequalitiesquantitativeeigenvaluesformimprovementslaplacianresultsreview
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We review some results about quantitative improvements of sharp inequalities for eigenvalues of the Laplacian.
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Cited by 1 Pith paper
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Parametrizing Convex Sets Using Sublinear Neural Networks
Sublinear neural networks parametrize convex sets by learning their support and gauge functions, backed by a universal approximation theorem and tested on shape optimization tasks.
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