Abstract We establish a new perturbation theory for orthogonal polynomials using a Riemann–Hilbert approach and consider applications in numerical linear algebra and random matrix theory. This new approach shows that the orthogonal polynomials with respect to two measures can be effectively compared using the difference of their ...
Ding, Xiucai, Trogdon, Thomas
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Linear Response Equations Revisited: A Simple and Efficient Iterative Algorithm. [PDF]
Alessandro R +4 more
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Approximate Exponential Integrators for Time-Dependent Equation-of-Motion Coupled Cluster Theory. [PDF]
Williams-Young DB +3 more
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Inexact iterative numerical linear algebra for neural network-based spectral estimation and rare-event prediction. [PDF]
Strahan J +4 more
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Direct Construction of Peaks from Free Induction Decay Curves for Gas Chromatography-Molecular Rotational Resonance Spectroscopy without Fourier Transforms. [PDF]
Wahab MF, Neill JL, Armstrong DW.
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Scalable and Privacy-Preserving Federated Principal Component Analysis. [PDF]
Froelicher D +8 more
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A conforming auxiliary space preconditioner for the mass conserving stress-yielding method. [PDF]
Kogler L, Lederer PL, Schöberl J.
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Multivariate functional group sparse regression: Functional predictor selection. [PDF]
Mahzarnia A, Song J.
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Performance enhancement of high order Hahn polynomials using multithreading. [PDF]
Mahmmod BM +5 more
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Approaching the basis set limit in Gaussian-orbital-based periodic calculations with transferability: Performance of pure density functionals for simple semiconductors. [PDF]
Lee J +5 more
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