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Verlag: Berlin/Heidelberg, Springer., 2013
ISBN 10: 3642317022ISBN 13: 9783642317026
Anbieter: Antiquariat im Hufelandhaus GmbH vormals Lange & Springer, Berlin, Deutschland
Buch
25 cm. X, 276 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Stamped. Lecture notes in computational science and engineering ; 88. Sprache: Englisch.
Verlag: Berlin/Heidelberg, Springer., 2013
ISBN 10: 3642317022ISBN 13: 9783642317026
Buch
25 cm. X, 276 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Stamped. Lecture notes in computational science and engineering ; 88. Sprache: Englisch.
Verlag: Springer Berlin Heidelberg, 2012
ISBN 10: 3642317022ISBN 13: 9783642317026
Anbieter: moluna, Greven, Deutschland
Buch
Gebunden. Zustand: New.
Verlag: Springer Berlin Heidelberg, 2012
ISBN 10: 3642317022ISBN 13: 9783642317026
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch
Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - In the recent decade, there has been a growing interest in the numerical treatment of high-dimensional problems. It is well known that classical numerical discretization schemes fail in more than three or four dimensions due to the curse of dimensionality. The technique of sparse grids helps overcome this problem to some extent under suitable regularity assumptions. This discretization approach is obtained from a multi-scale basis by a tensor product construction and subsequent truncation of the resulting multiresolution series expansion. This volume of LNCSE is a collection of the papers from the proceedings of the workshop on sparse grids and its applications held in Bonn in May 2011. The selected articles present recent advances in the mathematical understanding and analysis of sparse grid discretization. Aspects arising from applications are given particular attention.