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Title: Aveiro discretization method in mathematics: a new discretization principle
Author: Castro, L.P.
Fujiwara, H.
Rodrigues, M.M.
Saitoh, S.
Tuan, V.K.
Keywords: Reproducing kernel
Integral equation
Numerical experiment
Generalized inverse
Tikhonov regularization
Real inversion of the Laplace transform
Singular integral equation
Sampling theory
Issue Date: 18-Sep-2014
Publisher: Springer
Abstract: We found a very general discretization method for solving wide classes of mathematical problems by applying the theory of reproducing kernels. An illustration of the generality of the method is here performed by considering several distinct classes of problems to which the method is applied. In fact, one of the advantages of the present method -- in comparison to other well-known and well established methods -- is its global nature and no need of special or very particular data conditions. Numerical experiments have been made, and consequent results are here exhibited. Due to the powerful results which arise from the application of the present method, we consider that this method has everything to become one of the next generation methods of solving general analytical problems by using computers. In particular, we would like to point out that we will be able to solve very global linear partial differential equations satisfying very general boundary conditions or initial values (and in a somehow independent way of the boundary and domain). Furthermore, we will be able to give an ultimate sampling theory and an ultimate realization of the consequent general reproducing kernel Hilbert spaces. The general theory is here presented in a constructive way, and containing some related historical and concrete examples.
DOI: 10.1007/978-1-4939-1106-6_3
ISBN: 978-1-4939-1105-9
Appears in Collections:CIDMA - Capítulo de livro
FAAG - Capítulo de livro

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