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Quantification of Uncertainty: Improving Efficiency and Technology: QUIET select

Description: Quantification of Uncertainty: Improving Efficiency and Technology by Marta D'Elia, Max Gunzburger, Gianluigi Rozza Estimated delivery 3-12 business days Format Hardcover Condition Brand New Description This book explores four guiding themes – reduced order modelling, high dimensional problems, efficient algorithms, and applications – by reviewing recent algorithmic and mathematical advances and the development of new research directions for uncertainty quantification in the context of partial differential equations with random inputs. Publisher Description This book explores four guiding themes – reduced order modelling, high dimensional problems, efficient algorithms, and applications – by reviewing recent algorithmic and mathematical advances and the development of new research directions for uncertainty quantification in the context of partial differential equations with random inputs. Highlighting the most promising approaches for (near-) future improvements in the way uncertainty quantification problems in the partial differential equation setting are solved, and gathering contributions by leading international experts, the books content will impact the scientific, engineering, financial, economic, environmental, social, and commercial sectors. Author Biography Dr. Marta DElia is a staff member at Sandia National Laboratories. She graduated with honors in Mathematical Engineering at Politecnico di Milano, 2007, and she has a Phd in Applied Mathematics from Emory University, 2011. She was a postdoctoral fellow at Florida State University from 2012 to 2014. Her research deals with computational science and engineering, and it is mainly focused on modeling and simulation of nonlocal problems. She authored more than 30 research papers, she is the principal investigator of a Laboratory Directed R&D grant, associate editor of the SIAM Journal on Scientific Computing and organizer of several international conferences. Max Gunzburger, a Distinguished Professor at Florida State University, has advised 46 PhD students and 36 postdocs, published over 300 journal articles, conducted research funded by several US agencies, consulted for government and private labs, and served as EIC of two SIAM journals. His research interests include numerical analysis, finite elements, control, grid generation, and differential and integral equations with applications in mechanics, diffusion, climate, superconductivity, subsurface flows, etc. Gianluigi Rozza is a Professor of Numerical Analysis and Scientific Computing at SISSA, the International School for Advanced Studies, in Trieste, Italy, where he is a lecturer and coordinator of the SISSA doctoral program in Mathematical Analysis, Modelling and Applications, and director delegate for innovation, valorisation of research and technology transfer. His research chiefly focuses on developing reduced order methods. The author of more than 120 scientific publications, Principal Investigator of the European Research Council AROMA-CFD project. Winner of the 2004 Bill Morton CFD Prize (Oxford University); ECCOMAS Phd Award 2006; Springer CSE prize in 2009; and ECCOMAS Jacques Louis Lions Award in 2014. Details ISBN 3030487202 ISBN-13 9783030487201 Title Quantification of Uncertainty: Improving Efficiency and Technology Author Marta DElia, Max Gunzburger, Gianluigi Rozza Format Hardcover Year 2020 Pages 282 Edition 1st Publisher Springer Nature Switzerland AG GE_Item_ID:137766197; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys

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End Time: 2024-12-23T03:15:56.000Z

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Quantification of Uncertainty: Improving Efficiency and Technology: QUIET select

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ISBN-13: 9783030487201

Book Title: Quantification of Uncertainty: Improving Efficiency and Technolog

Number of Pages: Xi, 282 Pages

Language: English

Publication Name: Quantification of Uncertainty: Improving Efficiency and Technology : Quiet Selected Contributions

Publisher: Springer International Publishing A&G

Subject: Engineering (General), Numerical Analysis, Applied

Publication Year: 2020

Type: Textbook

Item Weight: 21.6 Oz

Author: Max Gunzburger

Item Length: 9.3 in

Subject Area: Mathematics, Technology & Engineering

Series: Lecture Notes in Computational Science and Engineering Ser.

Item Width: 6.1 in

Format: Hardcover

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