Tels.: DF (55) 55 54 94 02 • Cuernavaca (777) 102 83 86
portada Descargar ficha PDF Título: Regularization Methods In Banach Spaces
Autor: Schuster, Thomas; Barbara Kaltenbacher; Bernd Hofmann; Kamil Precio: $2240.00
Editorial: Mouton de Gruyter Año: 2012
Tema: Computacion Edición: 1ª
Sinopsis ISBN: 9783110255249
Regularization methods aimed at finding stable approximate solutions are a necessary tool to tackle inverse and ill-posed problems. Usually the mathematical model of an inverse problem consists of an operator equation of the first kind and often the associated forward operator acts between Hilbert spaces. However, for numerous problems the reasons for using a Hilbert space setting seem to be based rather on conventions than on an approprimate and realistic model choice, so often a Banach space setting would be closer to reality. Furthermore, sparsity constraints using general Lp-norms or the BV-norm have recently become very popular. Meanwhile the most well-known methods have been investigated for linear and nonlinear operator equations in Banach spaces. Motivated by these facts the authors aim at collecting and publishing these results in a monograph.
Disponibilidad: Bajo pedido    Contáctanos  ó Solicítalo
Librería Bonilla SA de CV © Todos los derechos reservados. 2019
Última actualización: Jul 2019