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Scientific Computing, Computer Arithmetic, and Validated Numerics [electronic resource] : 16th International Symposium, SCAN 2014, W�urzburg, Germany, September 21-26, 2014. Revised Selected Papers / edited by Marco Nehmeier, J�urgen Wolff von Gudenberg, Warwick Tucker.

Contributor(s): Nehmeier, Marco [editor.] | Wolff von Gudenberg, J�urgen [editor.] | Tucker, Warwick [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Lecture Notes in Computer Science: 9553Publisher: Cham : Springer International Publishing : Imprint: Springer, 2016Description: XIII, 291 p. 51 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783319317694.Subject(s): Computer science | Computer Science | Computer Science, generalAdditional physical formats: Printed edition:: No titleDDC classification: 004 Online resources: Click here to access online
Contents:
Interval arithmetic and interval functions -- Uncertainty -- Linear algebra -- Global optimisation -- Dynamical systems -- PDE.
In: Springer eBooksSummary: This book constitutes the refereed post proceedings of the 16th International Symposium, SCAN 2014, held in W�urzburg, Germany, in September 2014. The 22 full papers presented were carefully reviewed and selected from 60 submissions. The main concerns of research addressed by SCAN conferences are validation, verification or reliable assertions of numerical computations. Interval arithmetic and other treatments of uncertainty are developed as appropriate tools.
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Interval arithmetic and interval functions -- Uncertainty -- Linear algebra -- Global optimisation -- Dynamical systems -- PDE.

This book constitutes the refereed post proceedings of the 16th International Symposium, SCAN 2014, held in W�urzburg, Germany, in September 2014. The 22 full papers presented were carefully reviewed and selected from 60 submissions. The main concerns of research addressed by SCAN conferences are validation, verification or reliable assertions of numerical computations. Interval arithmetic and other treatments of uncertainty are developed as appropriate tools.

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