Quantification of uncertainty improving efficiency and technology quiet selected contributions : lecture notes in computational science and engineering / edited by Marta D`Elia , Max Gunzburger and Gianluigi Rozza.

Contributor(s):

Material type: Text

TextPublication details: Springer, 2020. Switzerland:Edition: 1st edDescription: 282 pagesISBN:

9783030487201

Subject(s):

DDC classification:

519.6 D`EL

Summary: This book provides a comprehensive overview of recent advancements in uncertainty quantification (UQ) within the context of partial differential equations (PDEs). It brings together a collection of research papers from leading experts, exploring various methodologies and applications. The book focuses on four key themes: reduced order modeling, high-dimensional problems, efficient algorithms, and practical applications. By addressing these areas, the book aims to improve the efficiency and accuracy of UQ techniques, ultimately impacting a wide range of scientific, engineering, and commercial fields.

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Holdings ( 1 )
Title notes ( 2 )

Holdings
Item type	Current library	Collection	Shelving location	Call number	Status	Barcode
Reference	Kalaignar Centenary Library Madurai	ENGLISH-REFERENCE BOOKS	மூன்றாம் தளம் / Third floor	519.6 DEL (Browse shelf(Opens below))	Not for loan	286575

Includes index.

This book provides a comprehensive overview of recent advancements in uncertainty quantification (UQ) within the context of partial differential equations (PDEs). It brings together a collection of research papers from leading experts, exploring various methodologies and applications. The book focuses on four key themes: reduced order modeling, high-dimensional problems, efficient algorithms, and practical applications. By addressing these areas, the book aims to improve the efficiency and accuracy of UQ techniques, ultimately impacting a wide range of scientific, engineering, and commercial fields.

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Quantification of uncertainty improving efficiency and technology quiet selected contributions : lecture notes in computational science and engineering / edited by Marta D`Elia , Max Gunzburger and Gianluigi Rozza.

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