Stable computations by discrete mollification

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Stable computations by discrete mollification

e-book

24500

Disponibilidad: Disponible


Categoría: Matemática

Editorial: Universidad Nacional de Colombia

Universidad Nacional de Colombia

Año de Edición: 2014

2014

eISBN: 9789587617542

9789587617542
The discrete mollification method is a data smoothing procedure, based on convolution, that is appropriate for the stabilization of explicit schemes for the numerical solution of partial differential equations and the regularization of ill-posed problems. This text introduces some of the main result...
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COP $ 24.500
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SKU: BW1011214416

Producto creado el 01/01/1970

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Detalles

The discrete mollification method is a data smoothing procedure, based on convolution, that is appropriate for the stabilization of explicit schemes for the numerical solution of partial differential equations and the regularization of ill-posed problems. This text introduces some of the main results and recent developments in discrete mollification and discusses several important topics of current research interest. The book develops and applies numerical methods based on discrete mollification for a variety of situations arising in applied mathematics, including convection-diffusion equations, conservation laws, strongly degenerate parabolic equations and several system identification problems. For each topic there are theoretical considerations concerning stability and convergence and a generous amount of illustrative examples. The intended audience for this book includes mathematicians, physicists and engineers.

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Información adicional

Editor / MarcaUniversidad Nacional de Colombia
DRM
Idioma(s)Inglés
Tipo ProductoPDF
Tipo Archivo (ebooks)PDF
Peso (ebooks)1.2
Opciones de ebookEbook - Descarga
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Carlos Daniel Acosta, Carlos Enrique Mejía

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Chapter 1
Overview
Chapter 2
Convection dominated diffusive problems
Chapter 3
Conservation laws
Chapter 4
Nonllnear and degenerate diffusive problems
Chapter 5
System identification
Chapter 6
Literature review

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