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Active Subspaces: Emerging Ideas for Dimension Reduction in Parameter Studies
Paul G. Constantine
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Description for Active Subspaces: Emerging Ideas for Dimension Reduction in Parameter Studies
Paperback. Techniques and algorithms for discovering and exploiting active subspaces: important new dimension reduction tools for computational scientists. Num Pages: 110 pages. BIC Classification: PBWH. Category: (U) Tertiary Education (US: College). Dimension: 185 x 257 x 23. Weight in Grams: 222.
Scientists and engineers use computer simulations to study relationships between a model's input parameters and its outputs. Thorough parameter studies are, however, challenging, if not impossible, when the simulation is expensive and the model has several inputs. To enable studies in these instances, the engineer may attempt to reduce the dimension of the model's input parameter space. Active subspaces are an emerging set of dimension reduction tools that identify important directions in the parameter space. This book describes techniques for discovering a model's active subspace and proposes methods for exploiting the reduced dimension to enable otherwise infeasible parameter studies. Readers ... Read more
Scientists and engineers use computer simulations to study relationships between a model's input parameters and its outputs. Thorough parameter studies are, however, challenging, if not impossible, when the simulation is expensive and the model has several inputs. To enable studies in these instances, the engineer may attempt to reduce the dimension of the model's input parameter space. Active subspaces are an emerging set of dimension reduction tools that identify important directions in the parameter space. This book describes techniques for discovering a model's active subspace and proposes methods for exploiting the reduced dimension to enable otherwise infeasible parameter studies. Readers ... Read more
Product Details
Format
Paperback
Publication date
2015
Publisher
Society for Industrial & Applied Mathematics,U.S.
Condition
New
Number of Pages
110
Place of Publication
New York, United States
ISBN
9781611973853
SKU
V9781611973853
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-50
About Paul G. Constantine
Paul G. Constantine is the Ben L. Fryrear Assistant Professor of Applied Mathematics and Statistics at Colorado School of Mines. He received his PhD from Stanford's Institute for Computational and Mathematical Engineering and spent two years as the von Neumann Fellow at the Sandia National Laboratories' Computer Science Research Institute. His research interests include uncertainty quantification and dimension reduction for ... Read more
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