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Titlebook: Hyperbolicity; Lectures given at a Giuseppe Prato,Giuseppe Geymonat Book 2011 Springer-Verlag Berlin Heidelberg 2011

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Tosio Katodata, e.g. identification of gene structure from the?location of splice sites, or prediction of protein function/localization. The annotation can be achieved by using automated classification algorithms. Supervised classification requires large amounts of labeled data for the problem at hand. For ma
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Introduction to Hyperbolicity,in one-dimensional media and contains a selection of boundary problems including vowel articulation, scattering and the wave equation with a non-linear term having soliton solutions. The second part defines hyperbolicity in technical terms and proves the existence of inverses of strongly hyperbolic
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Numerical Methods for Non-Linear Hyperbolic Equations of Mathematical Physics,r, as the demand for solutions in more than one space dimension and of more complicated systems grew, so did the predominance of difference methods. This has been maintained to the present day but in some problem areas finite element and spectral methods have recently begun to make their mark. In th
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