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Design of Adaptive Finite Element Software [electronic resource] : The Finite Element Toolbox ALBERTA / edited by Timothy J. Barth, Michael Griebel, David E. Keyes, Risto M. Nieminen, Dirk Roose, Tamar Schlick.

Por: Barth, Timothy J [editor.]Colaborador(es): Griebel, Michael [editor.] | Keyes, David E [editor.] | Nieminen, Risto M [editor.] | Roose, Dirk [editor.] | Schlick, Tamar [editor.]Tipo de material: TextoTextoSeries Lecture Notes in Computational Science and Engineering, 42Editor: Berlin, Heidelberg : Springer Berlin Heidelberg, 2005Descripción: XII, 315 p. With CD-ROM. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9783540271567Trabajos contenidos: SpringerLink (Online service)Tema(s): Mathematics | Software engineering | Computer science | Computer software | Mathematics | Computational Science and Engineering | Mathematical Software | Mathematics of Computing | Software Engineering/Programming and Operating SystemsFormatos físicos adicionales: Sin títuloClasificación CDD: 004 Clasificación LoC:QA71-90Recursos en línea: de clik aquí para ver el libro electrónico
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Springer eBooksResumen: During the last years, scientific computing has become an important research branch located between applied mathematics and applied sciences and engineering. Highly efficient numerical methods are based on adaptive methods, higher order discretizations, fast linear and non-linear iterative solvers, multi-level algorithms, etc. Such methods are integrated in the adaptive finite element software ALBERTA. It is a toolbox for the fast and flexible implementation of efficient software for real life applications, based on modern algorithms. ALBERTA also serves as an environment for improving existent, or developing new numerical methods in an interplay with mathematical analysis and it allows the direct integration of such new or improved methods in existing simulation software.
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Concepts and abstract algorithms -- Implementation of model problems -- Data structures and implementation.

During the last years, scientific computing has become an important research branch located between applied mathematics and applied sciences and engineering. Highly efficient numerical methods are based on adaptive methods, higher order discretizations, fast linear and non-linear iterative solvers, multi-level algorithms, etc. Such methods are integrated in the adaptive finite element software ALBERTA. It is a toolbox for the fast and flexible implementation of efficient software for real life applications, based on modern algorithms. ALBERTA also serves as an environment for improving existent, or developing new numerical methods in an interplay with mathematical analysis and it allows the direct integration of such new or improved methods in existing simulation software.

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