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Book Description Hardcover. Condition: new. Seller Inventory # 9783030487201
Book Description Condition: New. Seller Inventory # 41717230-n
Book Description Condition: New. Seller Inventory # ABLIING23Mar3113020019562
Book Description Condition: New. PRINT ON DEMAND Book; New; Fast Shipping from the UK. No. book. Seller Inventory # ria9783030487201_lsuk
Book Description Condition: New. Seller Inventory # 41717230-n
Book Description Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 book's content will impact the scientific, engineering, financial, economic, environmental, social, and commercial sectors. 296 pp. Englisch. Seller Inventory # 9783030487201
Book Description Condition: New. Seller Inventory # 26378042752
Book Description Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Offers 4 crucial modern topics and their synergistic interaction: model order reduction, efficient solvers, high dimensional approximation and applicationsIncludes contributions, upon invitation, from world expe. Seller Inventory # 390125161
Book Description Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 book's content will impact the scientific, engineering, financial, economic, environmental, social, and commercial sectors. Seller Inventory # 9783030487201
Book Description Hardcover. Condition: Brand New. 293 pages. 9.25x6.10x0.87 inches. In Stock. Seller Inventory # x-3030487202