Karen Willcox – författare
Visar alla böcker från författaren Karen Willcox. Handla med fri frakt och snabb leverans.
5 produkter
Large-Scale Inverse Problems and Quantification of Uncertainty
Av Youssef Marzouk, Karen Willcox m. fl.
E-bok, 2010
1874 kr
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This book focuses on computational methods for large-scale statistical inverse problems and provides an introduction to statistical Bayesian and frequentist methodologies. Recent research advances for approximation methods are discussed, along with Kalman filtering methods and optimization-based …
Large-Scale Inverse Problems and Quantification of Uncertainty
Av Lorenz Biegler, George Biros m. fl.
Inbunden, 2010
1611 kr
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This book focuses on computational methods for large-scale statistical inverse problems and provides an introduction to statistical Bayesian and frequentist methodologies. Recent research advances for approximation methods are discussed, along with Kalman filtering methods and optimization-based …
Large-Scale Inverse Problems and Quantification of Uncertainty
Av Youssef Marzouk, Karen Willcox m. fl.
E-bok, 2011
1874 kr
Lägg i varukorg
This book focuses on computational methods for large-scale statistical inverse problems and provides an introduction to statistical Bayesian and frequentist methodologies. Recent research advances for approximation methods are discussed, along with Kalman filtering methods and optimization-based …
Model Reduction and Approximation
Theory and Algorithms
Av Peter Benner, Albert Cohen m. fl.
Häftad, 2017
1263 kr
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Many physical, chemical, biomedical, and technical processes can be described by partial differential equations or dynamical systems. In spite of increasing computational capacities, many problems are of such high complexity that they are solvable only with severe simplifications, and the design of …
Large–Scale Inverse Problems and Quantification of Uncertainty
Av Lorenz Biegler, George Biros m. fl.
2010
1274 kr
Tillfälligt slut
This book focuses on computational methods for large-scale statistical inverse problems and provides an introduction to statistical Bayesian and frequentist methodologies. Recent research advances for approximation methods are discussed, along with Kalman filtering methods and optimization-based …