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Wavelet-Galerkin Methods

2018
As we noted earlier, spectral bases are infinitely differentiable, but have global support. On the other hand, basis functions used in finite difference or finite element methods have small compact support, but have poor differentiability properties. Wavelet bases seem to combine the advantages of both spectral (discussed in Sect.
openaire   +2 more sources

Pseudospectral and Galerkin Methods

1998
Wave equations have been successfully discretized using all of the standard families of algorithms: finite difference, finite element, and spectral. Nevertheless, this volume will review only Chebyshev and Fourier spectral methods.
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On the Bubnov-Galerkin method

USSR Computational Mathematics and Mathematical Physics, 1967
openaire   +3 more sources

A New Method of Predicting US and State-Level Cancer Mortality Counts for the Current Calendar Year

Ca-A Cancer Journal for Clinicians, 2004
Ahmedin Jemal Dvm, Eric J Feuer
exaly  

Multiparametric prostate magnetic resonance imaging in the evaluation of prostate cancer

Ca-A Cancer Journal for Clinicians, 2016
Baris Turkbey   +2 more
exaly  

nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation

Nature Methods, 2020
Fabian Isensee   +2 more
exaly  

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